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Will AI really shrink workforces as Amazon boss says?
|
Will AI really shrink workforces as Amazon boss says? – DW – 06
|
https://www.dw.com
|
[
"Srinivas Mazumdaru"
] |
However, broad AI adoption is expected to hit higher-educated, white-collar workers hard, particularly those with tasks that AI could perform at a similar or ...
|
Andy Jassy is not the first executive to warn about the broader adoption of artificial intelligence and how it will fundamentally reshape the workforce. Are the doomsayers right?
Amazon CEO Andy Jassy recently announced that his company would reduce its workforce as artificial intelligence (AI) replaces human employees.
He also warned that AI will affect a wide range of jobs and sectors.
Jassy is not alone, as many other tech firms have issued similar warnings about how AI breakthroughs could reshape their workforce.
In May, the CEO of the AI startup Anthropic told the Arlington, Virginia-based American news website Axios that AI could eliminate half of all entry-level white-collar jobs in the next one to five years.
US public companies have reduced the number of their white-collar staff by a collective 3.5% over the past three years, the Wall Street Journal reported, citing employment data provider Live Data Technologies. Over the past decade, one in five companies in the S&P 500 have shrunk, it said.
AI's impact on the working world To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
Several tech companies, including Microsoft, Hewlett Packard and Procter & Gamble, have announced layoffs of thousands of workers over the past several months.
Recently, retail service provider Shopify said teams requesting additional staff would first need to prove that AI could not perform the tasks.
Duolingo, a language-learning app, also plans to gradually replace its external workers with AI.
Fears of mass unemployment
The Organization for Economic Cooperation and Development (OECD) has estimated that a quarter of jobs worldwide are at a high risk of being replaced by AI automation.
But AI is also expected to create new opportunities and boost productivity.
A report by the World Economic Forum earlier this year forecast that technological transformation would displace about 92 million existing jobs by 2030, while creating 170 million new ones. Jobs in developed economies will likely be more affected by AI than those in developing ones.
A study published by the International Monetary Fund (IMF) last year found that the technology could affect 60% of jobs in developed economies — around half of them negatively, while the other half will see a positive impact.
The report concluded that about 40% of jobs in emerging markets and 26% of jobs in low-income countries would be hit.
But while these labor markets may see a smaller initial impact from AI, they are also less likely to benefit from the increased productivity that AI promises.
Who will be most affected?
During past technological breakthroughs, lower-skilled and blue-collar workers bore the brunt, such as workers on factory floors being replaced by robots.
However, broad AI adoption is expected to hit higher-educated, white-collar workers hard, particularly those with tasks that AI could perform at a similar or better quality than a human worker.
A study conducted by the Pew Research Center in the US found that occupations involving information gathering and data analysis, such as web developers, technical writers, accountants and data entry workers, among others, would be at high risk of being replaced by AI.
Entry level white-collar jobs are most at risk of being replaced by AI Image: picture alliance / abaca
Labor-intensive jobs that can't be easily automated, like construction workers, child care workers and firefighters, are expected to remain the most resilient.
The possibility of massive job losses has triggered concerns over the disruptive effects of AI on employment and society, drawing the attention of politicians and even religious leaders. Pope Leo XIV, who became the head of the Catholic Church in May, has warned of the threat posed by AI to jobs and human dignity.
AI concerns overblown?
Labor market expert Enzo Weber from the Institute of Employment Research in Nuremberg, Germany, believes the concerns over job losses are misplaced.
Speaking with DW, he said AI advancements open up a wide range of economic possibilities and are more likely to help workers than cause mass unemployment.
"AI primarily changes work, but it does not fundamentally eliminate it," said Weber, adding that the technology in most cases helps human workers "develop new tasks and perform their tasks better rather than just replacing them."
A paper published in January by Harvard economists David Deming, Christopher Ong and Lawrence H. Summers shared a similar view.
The economists argued that the automation of individual job tasks "does not necessarily reduce employment" and may even lead to "job gains in some sectors" of the economy.
"In principle, being able to automate a previously onerous task could make workers so much more productive that the increased output offsets the fact that some of their work is now being done by a machine," they stated in the paper.
Stressing that the impact of AI is likely to be "widespread and long-lasting," they also wrote that "history teaches us that even if AI disrupts the labor market, its impact will unfold over many decades."
Adapting to a changing tech landscape
Given that artificial intelligence technology is still in its early stages, its precise longer-term impact on global labor markets remains uncertain.
AI pioneer Geoffrey Hinton urges tougher government rules To view this video please enable JavaScript, and consider upgrading to a web browser that supports HTML5 video
The efficacy of many AI tools will also depend on how well they are integrated into workplaces, and the willingness and ability of workers to use them.
If workers refrain from making full use of AI out of concern for their jobs, it could compromise the productivity boost the new technology promises.
Labor market expert Weber urged companies and workers to adapt to the changing technology landscape and seize the opportunities because for him AI technology is a "game changer."
"This [technology] presents opportunities, but they need to be seized. Further development and active training of workers are essential. Not just to keep pace, but to get as far ahead as possible."
Edited by: Uwe Hessler
| 2025-06-26T00:00:00 |
https://www.dw.com/en/will-ai-really-shrink-workforces-as-amazon-boss-says/a-73029384
|
[
{
"date": "2025/06/26",
"position": 43,
"query": "artificial intelligence blue collar workers"
},
{
"date": "2025/06/26",
"position": 53,
"query": "artificial intelligence white collar workers"
}
] |
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] |
|
AI may end some jobs. It will create others
|
AI may end some jobs. It will create others
|
https://www.burnabynow.com
|
[
"Isaac Phan Nay",
"Local Journalism Initiative Reporter",
"The Tyee",
"Demaerre Istock Getty Images Plus Getty Images"
] |
Computer science researcher Vered Shwartz says she's taking AI hype with a grain of salt. A Tyee Q&A. ... In a time of AI wild enthusiasts and deep skeptics, ...
|
Computer science researcher Vered Shwartz says she's taking AI hype with a grain of salt. A Tyee Q&A.
In a time of AI wild enthusiasts and deep skeptics, Vered Shwartz puts herself somewhere in the middle.
The adoption of artificial intelligence models is being widely hyped as both job-destroying and liberating. Prime Minister Mark Carney is an enthusiast. Recent reports from consulting firms PricewaterhouseCoopers and McKinsey promise AI will transform the global workforce in the coming decades.
Shwartz is the Canadian Institute for Advanced Research AI chair at the Vector Institute, a Toronto-based AI research non-profit, and an assistant professor of computer science at the University of British Columbia.
She’s not convinced by some of the hype. While large language models are impressive, Shwartz said, she’s cautious about the risks of widespread adoption.
“We’re just starting to see how [AI] affects the job market,” Shwartz said. “The effect could be positive by saving workers time on repetitive or boring tasks, freeing them to practise their expertise — but it could also be negative, putting people out of jobs.”
Shwartz is the author of a book called Lost in Automatic Translation, about the widespread adoption of large language technologies like Siri, Alexa and ChatGPT. It’s scheduled to hit shelves this July.
The Tyee sat down with Shwartz for more insight into the technology and its capabilities. The conversation has been edited for length and clarity.
The Tyee: Would you consider yourself an AI skeptic? An optimist? Somewhere on — or outside — that spectrum?
Vered Shwartz: Let me focus my answer on large language models (LLMs), which I think is what most people mean when they say “AI.”
My main concern at the moment is the widespread adoption, reliance and trust in LLMs, despite a very serious technical limitation — the hallucination problem.
Large language models fabricate facts. I would like people to be more skeptical when they use LLMs. Without skepticism, the technology derails the quality of people’s work and introduces errors that are hard to find.
What is a large language model?
Large language models are a type of generative AI model that is popular right now. They are trained on vast amounts of text — almost all the text on the web — to predict the next word in the sentence, like autocomplete in our phones.
Neural language models have been around for a while, but the larger models from recent years produce better text.
Modern LLMs like ChatGPT have also been trained to follow natural language instructions, which allows them to perform arbitrary text-based tasks based on the user prompt.
There are other types of AI that are not generative, like predictive AI — which can classify ultrasound images of tumours as benign or malignant, for example.
A Statistics Canada study in September found three-quarters of Canadian workers in sectors like finance, administration, insurance and business and IT held jobs that were more exposed to — and perhaps replaceable by — AI. What was your reaction to that study?
The findings are not surprising to me. Previous automation waves targeted manual labour, but the current generative AI wave is transforming jobs that include tasks large language models can do, such as writing and coding.
I prefer the framing of AI as transforming industries to the description of it threatening industries or displacing workers.
White-collar jobs are already changing because many workers use AI to automate their tasks. This inevitably leads to employers looking to cut costs by replacing employees with AI. I think this is premature — LLMs still have technical limitations, they can’t perform all tasks and at the very least you would need a human expert to verify their outputs.
In the long term, I think these jobs that require higher education will change but most of them will not disappear.
What do you make of predictions like from the CEO of Anthropic, who predicts AI will cut half of all entry-level white-collar jobs within the next five years?
This prediction is much less subtle than the Statistics Canada study and for a good reason — Anthropic is trying to sell us a product. The CEO needs to convince us that the product is so powerful it’s going to put us out of our jobs. Of course, they would also say the only way to make yourself relevant in today’s job market is to use their product to enhance your skills as a worker.
I take these predictions with a grain of salt.
I think there will definitely be some entry-level white-collar jobs lost in the short term, and we should prepare for it. But I also think it will create new jobs in the long term.
What happens when companies try to replace entry-level jobs with this technology?
We have yet to see that impact. It’s possible that this experiment will not end well and companies will gradually increase the number of entry-level jobs again.
I think it’s a bit short-sighted to replace these jobs with AI at the moment, both because of the technical limitations — which may or may not be solved at some point in the near future — but also because you need entry-level workers that can one day replace your mid-level employees.
What types of white-collar activities do you think these models will be good at automating?
Large language models are good at generating text, so people use them to help with writing and editing. They have also been exposed to a lot of code from open-source code-sharing platforms like GitHub and forums such as Stack Overflow, so they can generate basic code from natural language instructions.
Modern large language models can also do a web search, so you can ask them complex questions and they will retrieve articles from the web and synthesize a concise answer. That’s a useful ability for many tasks of white-collar jobs.
But since these models often get things wrong, it would be irresponsible to automate these tasks without at the very least having a human expert validate the outputs.
Unfortunately, it’s already happening, and there are countless examples. For example, last year a B.C. lawyer cited fake cases invented by ChatGPT.
You mention that in the long term certain jobs that are exposed to AI will require higher education and change, but not disappear. Do you have any predictions as to how?
I think jobs will change because workers will use AI to automate the more repetitive and basic tasks, and these tools will hopefully become more reliable with time.
My hope is that this will allow workers to focus on the more meaningful tasks that require their expertise.
Of course, it’s also possible that jobs will change in a less positive way. For example, employees may have to spend their time “supervising” the AI instead of work they studied for and presumably enjoy.
To some extent, jobs are already changing because some employers expect higher productivity from their employees now that they have access to large language models.
| 2025-06-26T00:00:00 |
https://www.burnabynow.com/highlights/ai-may-end-some-jobs-it-will-create-others-10870753
|
[
{
"date": "2025/06/26",
"position": 71,
"query": "artificial intelligence blue collar workers"
},
{
"date": "2025/06/26",
"position": 36,
"query": "artificial intelligence white collar workers"
}
] |
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|
What Is a White-Collar Recession — And Is It Happening in ...
|
What Is a White-Collar Recession — And Is It Happening in 2025?
|
https://www.clientcentric.com.au
|
[] |
Discover what a white-collar recession means in 2025, why professional jobs are being hit hardest, and how workers can adapt in a rapidly changing economy.
|
Is the "white collar recession" happening?
In 2025, conversations about the economy are shifting. It’s not factory workers or construction crews bearing the brunt of slowdowns — it’s software engineers, project managers, marketers, and consultants.
Do you feel there is a white collar recession? 0 %Yes
0 %No
This emerging trend has a name: the white-collar recession .
What Exactly Is a White-Collar Recession?
A white-collar recession refers to a period of economic slowdown or contraction that primarily impacts professionals working in office-based, salaried roles. Unlike traditional recessions, which often affect blue-collar jobs, those involving manual labour or hourly wages—white-collar recessions hit sectors and positions that were once considered more secure and less vulnerable to economic swings.
These affected roles typically include jobs in industries such as technology, finance, legal services, healthcare administration, corporate management, and other professional or administrative fields. Workers in these positions often require specialised skills, higher education, and are usually salaried rather than paid hourly.
During a white-collar recession, companies may reduce headcount in these office-based roles through layoffs, hiring freezes, or restructuring efforts. This shift reflects changing business priorities, technological advances, and cost pressures that make some traditional professional jobs less certain than in the past.
While blue-collar recessions have historically been associated with factory closures or construction slowdowns, a white-collar recession highlights how economic challenges can affect knowledge workers and professionals, sometimes in more subtle, less visible ways. This can have wide-reaching effects on career prospects, job security, and workplace dynamics within industries once considered more resilient.
Why 2025 Is Different
The economy in 2025 isn’t showing the classic signs of recession across all industries. And every country is different.
However, many are feeling that there is a shifting in the world of white-collar work. Across digital, analytical, and client-facing roles, often held by university-educated professionals, there are growing signs of change.
What makes this different?
Overhiring in recent years : Many companies expanded aggressively during the pandemic and in its immediate aftermath. Now, with tighter margins and investor pressure, those roles are being trimmed.
AI and automation : Large language models and machine learning tools are quietly replacing tasks traditionally handled by junior professionals — from writing reports to analysing spreadsheets.
Cost rationalization: White-collar labour is expensive. For some companies, downsizing these roles has become a path to profitability, especially when markets reward “efficiency” over growth.
Are We In a White-Collar Recession Now?
It is difficult to say definitively whether a white-collar recession is unfolding in 2025. However, there are several signs that have raised questions and concerns in certain sectors:
Job cuts have been reported in industries such as technology, media, and finance.
Mid-level professionals appear to be experiencing longer periods of unemployment, along with increased competition for fewer available roles.
Many organisations have introduced hiring freezes, and opportunities for career progression seem to be slowing down in some large corporate environments.
Recent graduates are reportedly finding it more challenging to secure new employment.
There has been a noticeable rise in contract and freelance work as an alternative to permanent positions.
At the same time, these shifts appear to be occurring without a significant decline in blue-collar employment. Trades, logistics, and service roles continue to be in demand, supported by factors like infrastructure projects, the reshoring of manufacturing, and population growth.
What This Means for Workers
This trend has real consequences for how people think about job security:
A college degree is no longer a shield. Degrees matter, but they don’t guarantee employment in a volatile, tech-disrupted economy.
Skills matter more than titles. Adaptability, digital literacy, and willingness to retrain are becoming more valuable than tenure.
The middle is getting squeezed. Entry-level roles are being automated, and executive-level positions remain protected — but the mid-tier is thinning out.
What’s Next?
Whether the white-collar recession continues or evolves into a broader economic slowdown depends on a few factors:
How aggressively companies continue to automate administrative and analytical functions.
Whether central banks keep interest rates high or begin loosening financial conditions.
How well professionals can pivot to emerging industries, like green energy, AI safety, and advanced healthcare systems.
Final Thoughts
The white-collar recession in 2025 isn’t a collapse — it’s a restructuring. It’s the economy recalibrating for a future that demands different skills, different roles, and new ways of working.
The jobs aren't vanishing entirely — but they're transforming, and fast.
For workers, this is a moment of clarity. Adaptation isn’t optional. It’s survival.
Disclaimer
The information provided in this article is for general informational purposes only and does not constitute advice. While every effort has been made to ensure the accuracy and timeliness of the content, the author and publisher make no representations or warranties of any kind, express or implied, about the completeness, reliability, or suitability of the information.
| 2025-06-26T00:00:00 |
2025/06/26
|
https://www.clientcentric.com.au/single-post/what-is-a-white-collar-recession-and-is-it-happening-in-2025
|
[
{
"date": "2025/06/26",
"position": 73,
"query": "economic recession blue collar workers"
}
] |
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] |
Economic Growth | Richmond Fed
|
Economic Growth
|
https://www.richmondfed.org
|
[] |
The annualized PCE inflation rate over the period March through July is 6.5 ... Some policymakers have argued that this growing market concentration is ...
|
News
Winchester, Virginia, is known for its blend of history, culture and natural beauty, making it a popular destination for visitors and a vibrant community for its residents. The Winchester Metro Area is the fastest growing metro area in the state of Virginia, with its population growing at almost five times the rate of Virginia as a whole. In May, our Community Conversations team visited the Winchester area to learn more about their economic strengths and opportunities.
| 2025-06-26T00:00:00 |
https://www.richmondfed.org/topics/economic_growth
|
[
{
"date": "2025/06/26",
"position": 74,
"query": "market concentration and monopolies inflation rate"
}
] |
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|
PDAAG Roger P. Alford Delivers Remarks to the ...
|
PDAAG Roger P. Alford Delivers Remarks to the International Association of Privacy Professionals
|
https://www.justice.gov
|
[] |
First, our recent successes in protecting consumers from monopoly abuse in digital markets unequivocally demonstrate the continued vitality of the consumer ...
|
Good afternoon. I am pleased to be here today. It is an honor to represent the United States and work with the Assistant Attorney General Gail Slater and the amazing attorneys, economists, and staff and the Antitrust Division of the Department of Justice. I also want to thank the IAPP for inviting me to participate in this 2025 Digital Policy Leadership Retreat and Jonathan Zittrain and David Sanger for joining this discussion on such an important and timely topic.
The world today has indeed become a digital world. Almost every company has some digital presence and almost every product sector is touched by digital platforms. Every day, platforms are connecting users and consumers in new and exciting ways. They are introducing novel commercial relationships with ever sophisticated algorithms. While we welcome these changes, we also recognize that these innovations introduce a range of competition issues. At the Department of Justice, we are watching these developments closely, scrutinizing the competitive implications of digital conduct.
The topic for my speech today is where we go from here in applying antitrust law and policy in the digital world. I won’t bury the lede. We are heading towards a better future for the American people that maximizes their consumer welfare in digital markets through the vigorous enforcement of the antitrust laws. In fact, thanks to recent enforcement efforts, we are already beginning to see that world unfold.
Many doubted that would ever be possible. When digital markets first emerged, enforcers had for decades been accustomed mostly to smokestack industries. Products rolled off assembly lines with similar features and prices year after year. These things could be measured and scrutinized quantitatively. We came to think that’s all antitrust enforcers should do.
In contrast, digital markets offered zero price goods, with consumers trading their time and data for services. They were often defined by innovation and dynamism. Those looked like square pegs that didn’t fit the round holes of traditional antitrust analysis.
We had become so used to smokestack industries that many assumed consumer welfare should always be measured in the prices and outputs of the goods that rolled off the assembly line. Privacy, attention, choice, and innovation were afterthoughts. And so some suggested that there could be no antitrust enforcement in many digital markets because traditional measures of consumer welfare were difficult to apply.
Others accepted that premise, but pushed for a divorce between antitrust enforcement and the consumer welfare standard. They thought that to adequately protect competition in digital markets, antitrust needed to abandon its core focus on consumer welfare and have an essentially unlimited lens on its mission to include citizen welfare or a nebulous public interest standard.
We now know that there is a third way. Consumers’ welfare is not merely about the price they pay. Consumers benefit when their privacy is better protected. They pay for digital services in time, attention, and data. Consumer welfare rises when companies innovate, and new technologies disrupt incumbent technologies.
The answer was not to abandon antitrust in digital markets, or to abandon consumer welfare. The answer was to recognize the many dimensions of the competitive process that maximizes consumer welfare online.
I’d like to spend my time today talking about how that principle has played out in recent cases and will continue to inform our work in digital markets in the years to come.
First, our recent successes in protecting consumers from monopoly abuse in digital markets unequivocally demonstrate the continued vitality of the consumer welfare frame in protecting the American people online.
As many of you are aware, the Department of Justice has been vigorously enforcing the antitrust laws against the exclusionary and unlawful conduct of Big Tech for some time now, going back to the first Trump Administration. The DOJ currently has two large, ongoing litigations against Google in particular.
These are historic monopolization cases in which the DOJ earned landmark wins in federal district courts in Washington D.C. and Virginia, finding that Google is a serial monopolist — in general search, in search text advertising, and in multiple segments of the ad-tech stack. These rulings recognize that Google has abused its monopoly status by controlling how digital advertisements are placed on the free and open internet.
The DOJ has proven that Google repeatedly broke the law against monopolization. In response, we have proposed remedies tailored to restore competition and address the competitive harms of Google’s monopoly abuses.[1] In the Google Search case, a decision is expected by the end of the summer, following a three-week remedy hearing this spring. In Google Ad Tech, a remedies hearing is scheduled for early fall. We are hopeful that the federal courts in both cases will issue strong rulings that adopt structural and behavioral remedies to restore competition. Historic monopolization cases call for historic remedies, and our digital freedoms deserve nothing less.
The Google cases represent a bipartisan consensus in favor of vigorous antitrust enforcement. Beginning in the first Trump Administration, these cases reflect an historic commitment by both Republican and Democratic Administrations and almost every State Attorney General to protect consumers from monopoly abuse.
Both of these cases were won with evidence presented within a consumer welfare frame, expanded to account for the unique properties of digital markets. We defined consumer welfare broadly to include not only price, but also quality, output, innovation and anything else that impacts consumers. And we recognized that consumer welfare impacts do not always need to involve the kind of quantitative evidence available in a price-focused case, but that qualitative non-price evidence can be equally valuable.
Judge Mehta’s opinion in Google Search is a great example of the modern approach to addressing all of the determinants of consumer welfare. It mentions privacy 55 times. For example, when assessing the relevant market, it notes how Google compares its privacy to Duck Duck Go.[2] And its overall market definition approach appropriately takes account for the full range of qualitative evidence that bears on defining competition in search. Meanwhile, the Google Ad Tech opinion reminds its readers that the antitrust laws are a “consumer welfare prescription,” and then goes on to examine the many unique attributes of consumer welfare, beyond price and output, in the ad tech markets Google monopolized there.[3]
While we assess the full range of determinants of consumer welfare, that does not mean our analysis is unlimited. The ultimate question for antitrust law remains economic competition in a relevant market. The law does not permit an untethered overall public interest analysis that asks courts to weigh effects across markets or to include non-competition values.
For that reason, we consistently reject arguments that we should excuse harm to competition in order to protect a national champion firm on the theory that this will somehow benefit national security. We don’t accept the premise that shielding our businesses from competition somehow makes us stronger. That’s the Chinese and Russian way. The American way of winning the global economic competition is with strong competition in our domestic firms that makes our companies stronger to compete abroad. That premise has served us well for centuries, and we do not intend to abandon it now.
Let me offer a word of thanks to those who prosecuted these cases. The incredible attorneys, economists, and staff at the Antitrust Division that prosecuted the Google Search case deserve particular mention. Following a ten-week liability trial in 2023 and then a three-week remedies trial in 2025, they outlawyered the other side by presenting strong legal theories in support of critical remedies designed to ensure that our digital spaces will be free and open. No matter what the federal court orders in the remedies phase, the leadership at the Division is incredibly proud of the hard work and dedication of the public servants who have litigated that case.
As Assistant Attorney General Gail Slater has said, “The Google Search case matters because nothing less than the future of the internet is at stake here. Are we going to give Americans choices and allow innovation and competition to thrive online? Or will we maintain the status quo that favors Big Tech monopolies? If Google’s conduct is not remedied, it will control much of the internet for the next decade and not just in internet search, but in new technologies like artificial intelligence.”[4]
As for the Google Ad Tech case, the extraordinary attorneys have won a landmark liability ruling and we anticipate that they will present a strong case for robust remedies in the digital ad tech space. As Attorney General Pam Bondi has said, the ruling in the Antitrust Division’s favor in April in that case was “a landmark victory in the ongoing fight to stop Google from monopolizing the digital public square.” I could not agree more. We are fortunate to have such quality attorneys working to protect the American public.
Let me now turn to some of our thinking about how we will protect consumer welfare in digital markets in the future. Digital technologies have significant implications for virtually all the monopoly conduct and cartels that the DOJ analyzes today. The DOJ has an obligation to husband our resources to enforce the laws where it matters most, to protect markets that most directly impact the average American, markets such as healthcare, housing, agriculture, education, and insurance. Let me focus on just a few of those digital markets.
In healthcare, in particular, we have a mandate to use our resources to ensure American markets in health sectors are more competitive, innovative, affordable, and provide higher quality to patients and consumers. For years, we have witnessed consolidation across healthcare leading to higher prices and lower wages for healthcare workers. We see pharmacy benefit managers and brand name monopolies driving up prescription drug prices. Consolidation and roll-ups of physician practices and hospitals often increase health care costs, raising prices for services, and deteriorating patient outcomes. And algorithms and data increase complexity by playing an ever-larger role in health care markets and practices. We are even seeing algorithmic management technologies gaining a foothold in the health care labor sector, one of the largest labor sectors in the country.[5]
Our recent Las Vegas nursing case is an example of the Department of Justice protecting Americans’ pocketbooks in the health sector. In that case, the Division successfully prosecuted a three-year conspiracy to fix the wages of nurses — capping their wages. As AAG Slater has stated: “Wage-fixing agreements are nakedly unlawful attempts at unjustly profiting off American workers…. The nurses here deserved better, and under President Trump’s leadership, they will be protected.”[6]
The DOJ is committed to combatting monopoly abuse and collusion in the health care sector. This includes collusion that is accomplished by digital algorithms. Our recent statement of interest in the In re Multiplan Health Insurance Provider Litigation is an example.[7] In that case, competitors used a common pricing algorithm to share confidential information to set prices. Such algorithmic sharing of confidential information on digital platforms should be challenged as a violation of the antitrust laws.
The DOJ is focused on algorithmic collusion in housing markets as well. The Division is litigating an ongoing case against RealPage and large landlords for algorithmic collusion affecting the rental prices for millions of Americans.[8] In this case, RealPage has introduced a digital platform that made it easier for landlords to coordinate to dramatically increase rental prices for the average American. RealPage and large landlords actively participated in the illegal pricing scheme, setting their rents by using each other’s competitively sensitive information via common pricing algorithms.[9]
These cases are examples of a growing trend. If we do not take a strong stand now against algorithmic collusion, we will see this new form of price fixing destroying effective competition across a whole range of digital markets.
And still there is more. Algorithmic collusion is only a subset of the issues that algorithms raise for antitrust enforcement. We can see on the horizon new concerns that will be extremely difficult for enforcers to address using traditional antitrust law. Academic work is already exploring how artificial intelligence can be instructed to profit maximize and learn to set prices in a manner consistent with collusion. We are on the verge of autonomous algorithmic collusion.
Regardless of the digital sector, we at the DOJ will follow the facts and apply the law in connection with algorithmic pricing and potential collusion. These issues provide an opportunity for our enforcers to engage critically with the practical realities of how complex technologies are affecting Americans’ lives today and in the future. Artificial intelligence holds so much promise, but it also presents unique challenges. Will these technologies empower anticompetitive behavior targeted at unsuspecting digital citizens? The DOJ must meet this moment and fulfill its mandate to protect competition for the American people.
Let me conclude with a few thoughts about the Antitrust Division’s agenda with respect to mergers in the digital space.
When President Trump announced that Gail Slater would lead the Antitrust Division, he reiterated that Big Tech has stifled Little Tech innovation and competition. We are pro Little Tech and welcome Little Tech innovation. We will bring the antitrust laws to bear on Big Tech to answer for their abuses, but we are open and receptive to procompetitive mergers, especially in Little Tech. We want innovative start-ups to see exit opportunities other than acquisitions by the largest, most dominant players, whose acquisition strategies are often driven as much by their desire to entrench their existing power as they are to drive innovation. The enforcers at the DOJ work tirelessly to promote a competitive landscape to ensure that new ideas get funding, so that startups can compete on the merits and disrupt incumbents.
An embrace of Little Tech recognizes the benefits of venture capital and digital mergers. We want to see venture capital funds flowing to support innovative companies. In healthy, competitive markets, venture capital funds should flow freely.
During AAG Slater’s tenure at the Division, we will challenge anticompetitive mergers. That is already evident in these early months. But the vast majority of mergers do not raise competition concerns, and those that do often can be resolved through negotiation, settlements, and consent decrees. We are committed to providing clear guidance to merging parties on their proposed transactions, welcoming most mergers and only challenging the problematic ones.
In conclusion, let me state what an honor it is for me to return to the Antitrust Division and serve as Principal Deputy Assistant Attorney General to AAG Slater. As part of the Republican realignment, President Trump and Assistant Attorney General Slater have a clear vision for robust antitrust enforcement over the next four years. Our paramount focus will be to put consumer welfare first, accounting for the wide range of harms and benefits to consumers and workers that can arise in modern markets.
Yes, competition brings lower prices. But it also brings better quality, improved privacy options, lower advertising loads, greater data portability, more choice, and increased innovations. Competition maximizes consumer welfare by driving businesses to deliver everything consumers want. That makes it the critical tool to protect consumers in our free market system, even in a changing world.
Thank you.
| 2025-06-26T00:00:00 |
2025/06/26
|
https://www.justice.gov/opa/speech/pdaag-roger-p-alford-delivers-remarks-international-association-privacy-professionals
|
[
{
"date": "2025/06/26",
"position": 20,
"query": "market concentration and monopolies healthcare workers"
}
] |
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Employee Benefits: What Are They and What Are Their Tax ...
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Employee Benefits: What Are They and What Are Their Tax Advantages?
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https://edenred.fi
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Employer-paid health insurance and occupational health care are tax-free. Bike benefit is tax-free up to €1,200 per year. Pyydä tarjous Ota yhteyttä ...
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Employee benefits may include, for example, lunch vouchers, commuting benefits, and private health insurance. These kinds of perks help attract and retain employees, and they also come with tax advantages that are important for both employers and employees to understand.
Some employee benefits are tax-free, while others are partially or fully taxable. The taxation of these benefits affects both the employer’s costs and the employee’s net income. When companies understand the tax regulations related to employee benefits, they can make informed decisions and ensure that the benefits are handled in a tax-efficient and lawful manner.
In this article, we will explore what employee benefits are and how they are taxed in Finland.
What are employee benefits and why are they important?
Employee benefits are perks offered in addition to monetary compensation that support employees’ financial security, health, and overall well-being. In Finland, employee benefits are divided into two categories: statutory (mandatory) and voluntary. Statutory benefits are based on legislation, while voluntary benefits are additional perks provided at the employer’s discretion.
Well-designed employee benefits can significantly improve workplace atmosphere and productivity. They foster a sense of security, increase job satisfaction, and can motivate employees to perform better. When employees feel valued, their commitment grows—leading to reduced staff turnover.
Employee benefits offer many advantages for small and medium-sized enterprises (SMEs):
Attracting and retaining skilled employees: Competitive benefits can strengthen recruitment and employee retention.
Boosting job satisfaction: Good benefits enhance motivation and engagement.
Promoting employee well-being: For example, occupational health services can reduce sick leave and improve work ability.
Utilizing tax advantages: Certain benefits come with tax incentives that help manage overall company costs.
In short, well-planned employee benefits support both employee well-being and business success.
Types of Employee Benefits
Statutory Employee Benefits
Statutory employee benefits ensure security and well-being for employees. Employers are obligated to provide these benefits, which include occupational health care, pension insurance, unemployment insurance, and accident insurance. Each benefit has its own funding model and tax implications:
Occupational health care is mandatory for employers and aims to promote work ability and prevent occupational illnesses. It may also include medical care, depending on the employer’s decision.
Pension insurance (TyEL) applies to all employees aged 17 and over, securing income after retirement.
Unemployment insurance provides financial security in case of unemployment and is funded by both employer and employee contributions.
Accident and occupational disease insurance covers work-related injuries and illnesses.
Voluntary employee benefits
Voluntary employee benefits provide broader financial and well-being support beyond the statutory minimum. They help employers attract and retain skilled employees and enhance job satisfaction.
Some companies offer additional benefits such as supplementary health services, which may include dental care, physiotherapy, and mental health services. These can be provided through platforms like Terveysetu, which acts as a payment method for various health services and can be used via a virtual Edenred card for mobile payments.
The lunch benefit (commonly known as “lounari”) makes it easier for employees to have meals during the workday. Employers can support meals through lunch vouchers, electronic payment methods, or workplace dining options.
The Virike benefit promotes employee well-being by offering opportunities to engage in physical activity and cultural events. This benefit may cover gym memberships, sports club fees, concert tickets, and museum visits.
Want to offer your employees flexible and tax-free benefits that support their well-being? Explore Edenred’s diverse employee benefit solutions to find the best fit for your company’s needs.
Voluntary employee benefits improve employee well-being and strengthen a company’s appeal in the job market.
Taxation of Employee Benefits
Taxable employee benefits
The lunch benefit is one of the most common taxable employee benefits. Its taxable value is based on the employer’s cost. In 2025, if the meal cost falls between €8.60 and €13.70, the taxable value is fixed at €8.60. If the cost exceeds this range, the entire meal becomes a taxable benefit. The employee must report it as taxable income, while the employer can deduct it as a business expense.
A company car is a taxable benefit if it is also used for private driving. In 2025, the taxable value is 1.5% of the car’s purchase price plus €300 per month, if the car was registered between 2022 and 2024.
Employer-provided housing is a taxable benefit, with its value determined by the location, size, and amenities of the apartment. In central Helsinki, the taxable value is €299/month plus €13.20 per square meter.
A mobile phone benefit arises if the employer-provided phone is also used for personal purposes. The taxable value is a fixed €20/month, unless the phone is strictly for work use.
While taxable benefits increase the employee’s taxable income, they also offer valuable perks that employers can deduct as business expenses.
Tax-free employee benefits
Certain employee benefits in Finland are tax-free, meaning employees do not have to pay income tax on them. This also benefits employers, as many tax-free benefits are deductible as business expenses. To qualify for tax exemption, the benefits must be equally available to all employees, be ordinary and reasonable, and not convertible into cash.
Occupational health care is a tax-free benefit for employees. It includes preventive services such as health check-ups, monitoring of work ability, and rehabilitation if needed. If an employer offers services beyond the statutory minimum, they can remain tax-free as long as they are reasonable and available to all employees. Sports and culture benefits are also tax-free if they meet these conditions..
Employers may also support commuting costs tax-free by purchasing or reimbursing public transport tickets. In 2025, the maximum tax-free amount is €3,400 per employee per year. This can be implemented by directly purchasing tickets or reimbursing season passes. As long as the benefit stays within the limit, it is tax-free for the employee and deductible for the employer.
The company bicycle benefit is an increasingly popular tax-free perk that employees can use for both commuting and leisure. In 2025, the tax-free limit is €1,200 per year per employee. However, the combined tax-free limit for the bicycle and commuting benefits is €3,400 per year. This applies to both regular and electric bikes. With services like Edenred Fillari, this benefit can be easily managed without hassle.
Tax-free employee benefits reduce employees’ costs and can offer significant financial advantages to employers.
Summary
Employee benefits are an effective way to attract and retain talent while promoting employee well-being. Both statutory and voluntary benefits play a significant role as part of total compensation. It is important for employers to understand the taxation related to different benefits to ensure they are provided cost-effectively and in compliance with tax regulations. Well-designed employee benefits can offer financial advantages to both employers and employees.
Would you like to optimize your employee benefits and take full advantage of tax-free options? Explore Edenred’s flexible solutions and find the benefits that best suit your company’s needs!
Frequently Asked Questions
What are employee benefits?
Employee benefits are additional perks provided by the employer, such as lunch benefits, commuting support, and sports and culture benefits.
What are the three most desired employee benefits in Finland? The top three most popular employee benefits in Finland are:
Occupational health care – often tax-free and highly valued.
Lunch and meal benefit – allows employees to enjoy affordable meals.
Employer-provided bicycle – an increasingly popular benefit that promotes well-being and sustainability, with tax advantages for commuting.
Are employee benefits deducted from salary?
Many employee benefits are tax-free or partially taxable and are not usually deducted directly from salary. Employers may offer lunch, commuting, and recreational benefits that include a small employee co-payment.
Taxable benefits, such as company cars and housing, have a taxable value but do not reduce net salary directly—they affect total income taxation.
What are the tax advantages of common employee benefits?
Many employee benefits offer tax advantages:
Lunch benefit is partially tax-free: the employee pays part of the meal, and the employer’s share is considered taxable income. In 2025, the taxable value is €8.60 per meal if the employer’s cost is between €8.60 and €13.70.
| 2025-06-26T00:00:00 |
https://edenred.fi/en/blog/employee-benefits-what-are-they-and-what-are-their-tax-advantages
|
[
{
"date": "2025/06/26",
"position": 49,
"query": "corporate taxes worker well-being"
}
] |
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] |
|
This key provision of Trump's big bill violates Senate rules. ...
|
This key provision of Trump’s big bill violates Senate rules. Here’s what to know about provider taxes
|
https://www.pbs.org
|
[
"Hannah Grabenstein"
] |
The taxes must be “broad-based” and “uniform,” meaning they must apply equally to all providers equally within a specific class, such as hospitals or nursing ...
|
Because the federal government matches state spending at a rate between 50% and 80%, with no upper limit, higher provider taxes can mean higher state spending, which results in a higher federal contribution. That money can then ultimately go back to providers in the form of increased Medicaid payment rates.
It may sound counterintuitive, but providers generally like these taxes, because they contribute to a state’s total spending on Medicaid, said Alice Burns, associate director of KFF’s Program on Medicaid and the Uninsured.
In a nutshell, they’re taxes the state levies on various health care providers, such as hospitals, nursing homes, managed care organizations and even ambulances.
Here’s what provider taxes are, and how changes could affect patients and health care systems in dozens of states.
Provider tax revenue has “played a significant role in states’ ability to support Medicaid,” said Allison Orris, senior fellow and director of Medicaid policy at the Center on Budget and Policy Priorities.
Experts warn that getting rid of the taxes could have an outsize effect on medical coverage and access for millions of Americans.
Not all Republicans agree with the potential cuts, however. Sen. Josh Hawley, R-Mo., has raised concerns about the Senate’s slashing of Medicaid.
Senate Republicans are trying to rework the bill, and it’s not clear whether major cuts to provider taxes will remain. Critics say they’re wasteful, calling them “ money laundering ” by the states and an abuse of the system .
But as congressional Republicans scramble to push through the tax cut and spending package, the nonpartisan Senate parliamentarian ruled Thursday that many of its proposals don’t adhere to the rules governing the budget process. As is, the bill cannot be passed with a simple majority.
One of the most significant changes Republican lawmakers had hoped to make to Medicaid in President Donald Trump’s “One Big Beautiful Bill” is freezing or cutting state taxes on health care providers.
Some states have also spent provider tax revenue on funding Medicaid expansion, which allows people under higher income limits or those without dependents to access health care. Other states use the funds to help keep provider reimbursement rates high enough to ensure access for Medicaid enrollees, Orris said.
The American Hospital Association “is focused like a laser beam on ensuring the preservation of legitimate provider tax and supplemental payment programs,” wrote Rick Pollack, the organization’s president and CEO, in a June 11 blog post. He added that those taxes “serve as patches to help finance a chronically underfunded Medicaid program.”
States have been taxing health care providers since the 1980s to pay for the non-federal portion of Medicaid programs. Congress restricted the use of these taxes in 1991, establishing rules still in place today for how states implement them.
READ MORE: A closer look at who relies on Medicaid
The taxes must be “broad-based” and “uniform,” meaning they must apply equally to all providers equally within a specific class, such as hospitals or nursing homes. States also must not directly or indirectly guarantee that the money will go back to providers — a concept referred to as “holding harmless.”
However, the federal government currently exempts states from the hold harmless requirement on taxes up to 6% of revenues from treating patients. That limit is called the “safe harbor” limit, and according to KFF, 38 states have provider taxes higher than 5.5%. Georgia is the only state with provider taxes below 3.5%, and Alaska is the only state that has no provider taxes.
How would the House and Senate bills change the way they’re levied?
The House’s version of the “One Big Beautiful Bill” freezes provider taxes at their current rates and prevents states from increasing the taxes. The proposed changes in the Senate bill went a step further, reducing the safe harbor annually by 0.5% a year until the rate hit 3.5%, and only in states that have adopted Medicaid expansion.
The House bill would apply to all facilities, while the Senate’s version exempted nursing homes and intermediate care facilities.
What would the ripple effects be?
Twenty-two states would have to cut provider taxes under the original Senate bill, according to an analysis by KFF. That includes blue states like Oregon and New York, but also red states such as Oklahoma and Utah.
Senate Republicans may still try to redraft provider tax provisions, but it’s not clear yet how or what a new version would look like.
A Congressional Budget Office report on the House’s version of the bill estimated that a moratorium on provider tax increases would save about $89 billion in federal spending over 10 years. A freeze on taxes means states lose the flexibility they’ve traditionally been afforded, Orris said.
WATCH: Exploring the potential impact of Medicaid cuts in Trump’s big budget bill
“If there’s an economic downturn, if the state wants to expand coverage to a different population in the future, if the state tax base for whatever reason changes, you can no longer use provider taxes to fill gaps in the system,” she said.
Without the flexibility that provider taxes provide, and in conjunction with other cuts on the table, states might ultimately be forced to cut benefits and tighten eligibility requirements, Orris said. The CBO estimates that if the House bill were enacted, 10.9 million people would lose insurance by 2034. That influx of uninsured people would likely add strain to hospitals, experts say.
“It’s not just the Medicaid enrollees who suffer. It’s the entire community.”
States have often used provider taxes to pay hospitals that serve higher numbers of uninsured patients, Burns said. Cutting those taxes could affect rural areas, where many hospitals operate on razor-thin margins, as well as urban areas, which may also see a high percentage of Medicaid patients, Orris said.
“If a hospital is suddenly getting paid less money for every Medicaid patient it sees — and this is particularly the case under the Senate bill — it sort of defies logic to think that that hospital is going to be OK,” she said. “Then when that hospital closes, or needs to close a maternity ward, it’s not just the Medicaid enrollees who suffer. It’s the entire community.”
| 2025-06-26T00:00:00 |
2025/06/26
|
https://www.pbs.org/newshour/politics/your-guide-to-medicaid-provider-taxes-and-why-some-senate-republicans-hope-to-cut-them
|
[
{
"date": "2025/06/26",
"position": 7,
"query": "corporate taxes healthcare workers"
}
] |
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Making the gig economy in Asia fair and sustainable for all
|
Making the gig economy in Asia fair and sustainable for all
|
https://www.weforum.org
|
[] |
Asia's digital transformation has spurred explosive growth in the gig economy, offering unprecedented flexibility and income to millions.
|
This article is part of:
The global gig economy is expanding rapidly, offering an opportunity to reimagine work models while prioritizing inclusion, resilience and well-being.
Empowering gig workers is crucial to sustain the model and requires collaborative action from platforms, governments and worker organizations to ensure fairer outcomes for all.
Asia, at the epicentre of the gig economy’s growth, is uniquely positioned to lead with innovation, offering scalable solutions tailored to its diverse workforce.
Asia’s digital transformation has spurred explosive growth in the gig economy, offering unprecedented flexibility and income to millions in countries such as China, India and Indonesia.
The World Bank estimates that the gig economy now makes up as much as 12% of the global labour market, with demand continuing to grow, driven largely by developing nations.
Yet this rapid expansion has also exposed and deepened existing vulnerabilities. Many workers face algorithmic pressures, burnout and economic insecurity – what some describe as “digital informality.”
While gig work offers immediate income and flexibility, it can also bring instability, algorithmic control and economic dependency.
Empowering gig workers and supporting their well-being is not just ethical but a crucial business strategy for sustainable growth and social cohesion in Asia.
“ Asia stands at a crossroads. Home to some of the world’s largest and fastest-growing gig economies, the region has an unprecedented opportunity to shape the future of work ... ”
Asia’s gig economy
The scale of disruption
The surge in the gig workforce is reshaping Asia. China reported that over 200 million of its workers are engaged in gig work, accounting for approximately 25% of the country’s workforce.
In India, the gig workforce is projected to reach 23.5 million by 2029-30 and its freelance workforce supplies an estimated 40% of global freelance labour, many of whom are attracted to the gig economy.
Indonesia’s gig workforce ranges from 430,000 to 2.3 million. This workforce is diverse: Chinese delivery workers are mainly young, migrant men; Indonesian drivers are often men who have transitioned from formal jobs; and India’s gig workers span blue and white-collar roles, with many relying on it as their primary income.
Navigating the algorithmic challenge
Gig platforms rely on sophisticated technologies to match supply and demand. But without thoughtful design, algorithmic management can unintentionally reinforce precarity. Three key challenges stand out:
1. Precarious livelihoods
Many gig workers in Asia earn below minimum wage after accounting for operational costs such as fuel and maintenance. Long hours – often exceeding 10-12 per day – are common, with few rest days and limited financial stability.
The absence of benefits such as sick pay or health insurance, due to independent contractor classifications, further deepens economic vulnerability.
2. Management by algorithm
Automated systems often dictate job assignments, ratings, pricing, and deactivations with limited transparency.
While algorithms can optimize efficiency, workers frequently report feeling controlled by shifting, unclear rules. The lack of recourse in cases of disputes or account suspensions exacerbates this sense of unpredictability and stress.
3. Gendered dimensions
Women in the gig economy face distinct challenges. Safety concerns and income disparities persist.
On one major platform, women earn just 68% of what men do. Digital access gaps, social norms and care responsibilities constrain participation and upward mobility, limiting the gig economy’s inclusive potential.
Pillars of joint action
Building a fairer gig economy requires shared responsibility among platforms, governments and worker organizations. Through collaboration, these actors can shape a more inclusive and sustainable future of work. Key areas for joint action include:
Fair pay and transparency: Platforms and policy-makers can co-create standards for fair compensation and algorithmic transparency. Initiatives such as India’s Platforms and policy-makers can co-create standards for fair compensation and algorithmic transparency. Initiatives such as India’s Urban Company’s living wage check offer models for replication.
Safety and social protection: Platforms, governments and worker groups can co-design safety nets that reflect the realities of gig work, from co-funded health and accident insurance to shared contributions and portable benefits. Examples such as Platforms, governments and worker groups can co-design safety nets that reflect the realities of gig work, from co-funded health and accident insurance to shared contributions and portable benefits. Examples such as iFood’s insurance scheme show what’s possible when protection is prioritized.
Worker upskilling: Partnerships between platforms and public institutions, such as Partnerships between platforms and public institutions, such as Swiggy’s training programmes with India’s Ministry of Skill Development, can expand worker opportunities.
Diversity, equity and inclusion: Shared commitments to unbiased hiring and equitable work distribution can be advanced through joint policies and continuous dialogue with worker communities.
Smart r egulation : Governments, with input from platforms and workers, can design adaptive legal frameworks that reflect the realities of gig work and promote long-term inclusion.
Worker voice: Ensuring workers know their rights, can organize and access fair grievance systems strengthens platforms, empowers individuals and works best when all parties are at the table.
Building a human-centric gig economy in Asia
A regional opportunity for global leadership
Asia stands at a crossroads.
Home to some of the world’s largest and fastest-growing gig economies, the region has an unprecedented opportunity to shape the future of work, not by replicating legacy systems but by designing inclusive models tailored to its vast and varied workforce and grounded in worker dignity and wellbeing.
Countries across the region are already experimenting with innovative approaches. India is piloting social security codes for gig workers. Indonesia is exploring portable benefits.
China’s evolving regulatory landscape is encouraging greater protections in platform work. These early efforts signal momentum that can be scaled through regional cooperation and public-private collaboration.
A global effort for good work
The Good Work Alliance, an initiative of the World Economic Forum, is partnering with gig economy companies to establish platform-enabled work as a sustainable and equitable part of the global economy.
By fostering collaboration among industry leaders, the initiative seeks to develop and and implement effective work principles for the gig economy that can benefit millions of workers worldwide.
| 2025-06-26T00:00:00 |
https://www.weforum.org/stories/2025/06/what-will-it-take-to-make-the-gig-economy-in-asia-fair-and-sustainable/
|
[
{
"date": "2025/06/26",
"position": 11,
"query": "digital transformation wage distribution"
}
] |
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|
Business transformation in the age of AI
|
Business transformation in the age of AI
|
https://global.fujitsu
|
[] |
As a result, companies will be able to slowly automate activities that currently require significant human labor and knowledge. This will include processes and ...
|
The point is that trying to address business challenges through innovation focused on a single technology will necessarily lead to only narrow, lower value use cases being addressed. LLMs for example are really suited to efficient information creation and Q&A processes. These can be high value in themselves, but are limited in scope. However, combining them with other technologies can open up the potential to create complete solutions to a whole range of issues. For example – using LLMs to create advertising copy which is optimized for customer segments using ML based test and learn approaches can scale advertising personalization in a way that LLMs on their own would not.
Second, as a result of this complexity, achieving the end goal requires a different set of skills to both build and run the systems. To successfully develop complex integrated solutions requires bringing together deep experts in each of the technologies required. Accessing such talent is hard, since ideally these experts will have gone through several programs that implemented similar solutions at scale. Then there is the orchestration challenge. For example, if you experience an issue, which technology is at fault? Is the designer of one element of the solution cutting corners that are causing issues in the other elements? For this reason, it’s imperative to look across the system to make the right architectural and design decisions, not just do so in each individual area. Integration is also an issue. The solution will inevitably have to interact with existing systems which will need to be adapted and tested with the broader system. And in many cases, the solution will require a foundation of robust, well-governed data, without which even the best designed technical solutions will lack the “intelligence” required to drive business value.
As if designing an integrated system is not challenging enough, running and maintaining it is harder. The business environment is fluid, so how are you going to push out updates as new product or market conditions arise? The fast-moving technology landscape also brings challenges. New algorithms emerge to replace today’s innovations, and hardware evolves as processing speeds continue to increase. Simply managing a live AI environment is extremely challenging, requiring AI data “cold starts”, distributed model management, network enablement… and what happens when a sensor or camera goes down, who will fix it? These are all real technical considerations that if you haven’t thought through in advance, will cause you to come unstuck later.
On top of this, there are the “people” considerations. If technology is automating routine tasks, what skills are your staff going to need now? They will need to focus on the more complex aspects of the business operations, and also understand how the technology interplays with those operations. Their jobs will shift towards directing the automation as much as executing the business processes at hand. Getting your team to accept and adapt to this evolution comes with real challenges.
Finally, when you are fully automating mission critical processes, there is no room for error, and eliminating the errors can require at least as much if not more effort than getting to a 95% correct solution. Recent news pages have been littered with tales of rogue AI. From the airline whose chatbot hallucinated a discount fare (*2), to the training company that was discriminating against older job applicants (*3), LLMs are improving and becoming more transparent, but you need to be certain your company doesn’t fall on the wrong side of the “edge case” gap or allow unidentified bugs in software to damage the brand.
In most innovation processes the “move fast and break things” mentality still prevails. For the next generation of business transformation that will be less relevant. Breaking things is OK if you’re designing the next consumer app. But it doesn’t fit so well if you are originating loans, diagnosing diseases or automating a physical activity. When technology transformation encroaches on the mission critical operations of the business there’s no room for failure. It is imperative that edge cases are handled well and continuously monitored. That requires a higher bar for accuracy, the ability to recognize if an AI application starts to drift, and a significant investment in “failover” processes that take over when the automation fails.
These types of engineering challenges used to be the preserve of highly automated manufacturing environments and defense laboratories. If companies want to transform in the “Era of AI”, they will need to embrace these realities too. Why? Because if they don’t, then their competitors will and there is a real risk that the first companies to achieve their automation goals will disrupt the economics of the industry. The pioneers may even become the new industry platform in the way that Google’s ad platform became the standard for the advertising industry or Amazon’s scalable IT architecture became the de-facto IT industry infrastructure. Getting left behind can have grave implications.
| 2025-06-26T00:00:00 |
https://global.fujitsu/en-global/insight/tl-wayfinders-payne-ageofai-20250626
|
[
{
"date": "2025/06/26",
"position": 66,
"query": "digital transformation creative workers"
}
] |
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|
International Studies
|
International Studies
|
https://www.presby.edu
|
[] |
Early-career professionals can expect to earn between $33,000 and $50,000, with potential for higher earnings as they gain experience. Top earners in the field ...See more
|
International Studies is an interdisciplinary major that includes courses in political science, economics, history, foreign language, and cultural studies. You’ll take classes such as International Relations, Comparative Politics, International Economics, and Global Issues in Public Policy.
Language proficiency is a key component of the program, and students are encouraged to study abroad or engage in international experiences. In your final year, you’ll complete a senior research seminar focused on a global topic of your choice.
This flexible major pairs well with other disciplines, including business, foreign language, public health, and political science.
| 2025-06-26T00:00:00 |
https://www.presby.edu/programs/international-studies/
|
[
{
"date": "2025/06/26",
"position": 16,
"query": "geopolitics diplomacy employment rate"
}
] |
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Iran Takes Center of World Geopolitical Stage
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Iran Takes Center of World Geopolitical Stage
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https://www.tdsecurities.com
|
[
"Frank Mckenna",
"Peter Haynes"
] |
Prior to his departure, Trump did meet with Carney and the two leaders agreed to work out a comprehensive bi-lateral trade and security agreement within 30 days ...
|
FRANK MCKENNA: We now have the lowest tariff barriers of any country in the world, and the problem is the ones that we have are particularly burdensome.
PETER HAYNES: Welcome to episode 66 of Geopolitics with the Honorable Frank McKenna. My name is Peter Haynes. I'm the host of this podcast series. And I'm joined today by Frank. And I'm hoping you're well. It feels like it's been forever since we last sat down for the pod, but here we are. It's June 24, and we're taping early in the morning. And I say that because my sources tell me that you and your wife, Julie, are traveling to beautiful Miramichi, New Brunswick this morning for a special event. Can you tell our listeners what you're up to today?
FRANK MCKENNA: Well, the Miramichi is a very special place for us. That's where I practice law, and that's where I was elected. And the Miramichi supported me all the time that I was premier.
So I owe a special debt of gratitude to the Miramichi and always will. We have many great friends there. So we'll be announcing today that we're donating $1 million to create an aquatic center on the Miramichi and make it clear that we'll continue to support the Miramichi for as long as we're able to do that.
PETER HAYNES: That's a very kind gesture, and obviously returning the favor to the community that you work for for several years now. My question is, while you're out there, will you get a chance to put on the hip waders and go out and do some fly fishing?
FRANK MCKENNA: I'm going to be doing that not this trip, but in a few weeks. It looks as if something might come together to get me out fishing. I hope so. By the way, I find it amusing, but one of my earlier contacts in Washington was around the Miramichi, and that was Dick Cheney, the Vice President.
And we were at the Correspondents' Dinner, and he didn't have anybody to talk to, and neither did I, so we talked to each other. And he was a little angry at us because we hadn't entered the war in Iraq. He said, anyway, I can't hold it against you for too long, he said, because I'm a passionate Canadian. In the summertime, I go some place called the Miramichi every summer to fish. He said, you probably never heard of it. I said, that's where I live. So we bonded over that, and turned out it was a good beginning.
PETER HAYNES: I think you've told me in the past few of the famous people that you know or maybe have fished with on the Miramichi. I think Jack Nicklaus is one of the names. Who are some of the other famous people?
FRANK MCKENNA: Yeah. Jack Nicklaus fished on the Restigouche. The Restigouche is a very famous-- maybe the world's most famous fishery, and the Restigouche Club is the most exclusive club in the world. And Jack Nicklaus was a member of that. And I did fish with him one day. And he also hit golf balls-- he was an active golfer then, and he would hit golf balls across the river, and the guides would pick up the balls. And I asked the guides one day how they ever found his golf balls, and they said, well, we don't have to look very far. They all land in the very same area.
[LAUGHTER]
PETER HAYNES: Yeah. We can only wish, eh? As amateurs in that sport, once in a while they land where they're supposed to. Well, that's a great event, and best of luck to you and Julie today on that great event. So let's turn to geopolitics, and there's one hotspot that everybody's focused on right now in the world, and that's Iran. I want to ask what you think of President Trump's attack on Iran's nuclear facilities. And is regime change the end game for the United States?
FRANK MCKENNA: Two or three things on this one. First of all, I'm not surprised that the United States attacked. It was, in my view, opportunistic. I think they've always wanted to try to take out the nuclear capabilities there, but they've had a number of worries which needed to be assuaged.
In particular, they were very much afraid of having any long, drawn-out conflict where they would end up being trapped, and I'll give you an example of that. They attacked with B-2 bombers. These B-2 bombers cost $2 billion a copy. There's only 21 of them in existence.
So the last thing they wanted was to have one of these planes shot down and become a trophy for the Iranians. And also, they would despise the idea that a pilot or their crew might end up being caught. And you remember the very famous U-2 incident with Francis Gary Powers where he was held as a hostage in Russia for a number of years and became a source of great embarrassment to the Americans.
So I think the opportunity presented itself where the Israelis had totally degraded air defenses in Iran and effectively created air control in Iran, something Russia has not been able to achieve in the Ukraine. So with all of the ground-aware capabilities of Iran suppressed, the United States had a clear shot to bring their very expensive bombers in and do precision bombing. So I would say it was very opportunistic.
In terms of the result of that, I can't say that I'm surprised with Iran's reaction. It really only had about two or three choices. One was to do nothing, and that would be a colossally difficult thing politically in Iran. They would lose a lot of face if they did nothing. The second they could do was literally go to DEFCON 3, which means attacking military targets outside of Iran, in Iraq or Kuwait or some other place.
Or attacking shipping in the Strait of Hormuz. And remember, Strait of Hormuz has 20% of the world's oil production flowing through it every day, something like 20 million barrels a day. So that would have been a very, very serious escalation. Some estimates are that oil would spike to $110 to $130 a barrel. But Iran would feel that the most, obviously, because they rely on oil revenue as well.
So they didn't do that. And they did what we in diplomatic circles call called retaliatory de-escalation. They attacked a US base in Qatar. They called ahead and told them that they had incoming missiles, which were all shot down, so they can say that they retaliated in a commensurate fashion. As many missiles were fired from Iran as bombs dropped by the United States. And they didn't do any serious damage, and that allowed both sides to de-escalate. So all of that, I would say, was quite a carefully orchestrated minuet.
PETER HAYNES: So since the bombings, Trump has tweeted-- or put on Truth Social that the war is over, that there is a truce, that it will last forever. He thanked both sides. He thanked the Iranians for warning them ahead of the attack on Qatar, on the Qatari base. And immediately, the Israelis-- or I believe it was the Israelis who were arguing-- or both sides are probably arguing now that that truce has been violated.
Do you believe that President Trump has, in fact, worked the phones to the point of creating some sort of a settlement here, or at least a pause in the war? And do you think that down the road, that Iran will really gain its revenge in different ways through sleeper cells and other things potentially the United States? Does that worry you at all?
FRANK MCKENNA: Yeah, the latter would worry me very much. But in terms of the former, look, Trump is polishing his resume for a Nobel Peace Prize, but I suspect that he's overstating the case here. I think that what we have is a short-term ceasefire. It may stick. It may not. There have been a number of ceasefire fires with Hamas as well, and none of them have stuck.
So I give him full credit for wanting peace, and I think that some of the building blocks are there, but I suspect this is not the end. I suspect we'll be going through many more iterations of conflict before this one is resolved. But progress so far. I would say progress to date.
PETER HAYNES: So dare I ask the most difficult question possible in your mind-- is peace possible in the Middle East?
FRANK MCKENNA: Probably not. We have to remember the history of the region. Thousands of years-- in fact, we should take a minute just to talk about Iran itself. The Persians are an ancient civilization, by some accounts, over 100,000 years old. One of the only countries in the Middle East that has kept its territorial integrity. And it's a very proud country. It's got some 92 million people, and they're extraordinarily well-educated. They're very secular, quite pro-Western, with a pro-Western president, Pezeshkian, of some considerable respect.
But they've got religious leadership in the Republican Guard ruling the country, and they're not able to totally escape their, I guess, more fanatical elements, which is a shame because regime change would probably be a good thing to happen, but it's almost certainly not going to happen as a result of external force. If it happens, it'll happen from within. And in a repressive regime like that, it's very difficult to see that happening.
I think we also need to bear in mind that Iran feels very isolated now. China and Russia have been putative allies but haven't lifted a finger in this dispute. The proxies, which Iran have commanded, Hezbollah, the Houthis, Hamas, have been largely degraded. And they're a minority religious population in the Middle East. The Middle East is probably 80% or 90% Sunni, and Iran, with its 92 million people, is Shia. And it represents a minority situation in the Middle East. So they've always felt somewhat isolated in the Middle East.
Now, the hope is that with this reduction in tension, potentially, with Israel, that Saudi Arabia and the Emirati move closer to Iran and that some type of rapprochement occurs across the Arab world, including Jordan, Egypt, Turkey, et cetera. That's been difficult to navigate because of all of these almost tribal communities. It could be the Alawites in Syria. It could be Druze. It could be Shia. It could be the Kurd population, which is large, the Sunnis, and so on. It's been very difficult for the Middle East to overcome its tribal tendencies, but we live in hope.
PETER HAYNES: OK, so let's talk about the fact that Trump has vowed to end all the forever wars that are going on in the world, and so far, he has not been very successful in reaching that goal. Reaction to Trump's military strikes back in the United States have been mixed and not necessarily along political lines.
While most Republicans are rallying around the president, some of the more influential or high-profile members of the MAGA wing are not too happy that the US is involved in a Middle East conflict and, therefore, putting US lives at risk. Meanwhile, Democrats were mostly critical of Trump's actions, pointing to violations of the War Measures Act given that Congress did not provide preauthorization for entering this war.
How do you expect the calculus for Trump to play out? Will that be totally dependent on Iran's long-term response and the potential for loss of military or civilian lives?
FRANK MCKENNA: Yeah, there's no doubt the latter is true. If the United States gets drawn into a war, if, for example, they had to commit ground troops and so on, that would really be a difficult pill to swallow politically. It doesn't look as if that will happen. It looks as if this is one-and-done, in which case, I think Trump surfs through this without too much challenge.
There always has been an isolationist wing in the Republican Party and with good reason. We've seen misadventures in Vietnam, misadventures in Iraq, and even the withdrawal from Afghanistan. By the way, Afghanistan is the only situation in which Article V of the NATO charter was invoked on behalf of the United States. So Americans are very leery about getting involved in foreign wars.
And Democrats, I think, are predictably being critical that the War Measures Act wasn't respected, but the War Measures Act over the years has been much more respected in the breach than the observance. It's only been respected, I think, 11 times and hundreds of military excursions have taken place, including by the Democrats. Obama's attack on Gaddafi, for example, would have not been done with respect to the War Measures Act. So these are legal arguments that play out, but at the end of the day, if this is one-and-done, it will not be a political issue in the United States.
PETER HAYNES: Were you surprised by any of the rest of the world reaction to Trump's move on Iran? You talked about the fact that Iran's partners, or what they think of in their axis of influence, China and Russia, have stayed focused on other things. Are you surprised by that or any of the other world reaction?
FRANK MCKENNA: No. I'm not surprised. The rest of the world has done the predictable tut-tutting, but none of them were fans of the Iranian regime, and all had hoped to see something take place. And remember, the whole world was affected by the Houthi attacks in the Red Sea and of course, they're proxies of Iran.
So the only thing the rest of the world will mention, and with reason, is that this problem was, in large measure, solved back in 2014, when the Europeans and the rest of the world, and the United States, et cetera, negotiated a deal with Iran that would not result in them enriching uranium to the point of being able to make a bomb. And that agreement was respected by Iran and by the rest of the world up until 2019 when Trump unilaterally tore it up, the same as he did Kuzma and the Paris Accords and so on.
Iran, rightfully, was saying, and I think international observers would agree, that they had been respecting that agreement. Now, Trump and Israel had never liked the terms of that agreement, in fairness, but it was an agreement. It had kept Iran from proceeding. So the rest of the world will remind the United States that all they've really done in 2025 is go back to the 2014 situation where Iran was not able to proceed with further enrichment. Other than that, I think the rest of the world will largely be quite silent about what's taking place.
PETER HAYNES: Just before we move on, Frank, can you explain why Iran with a nuclear weapon poses more of a threat than, say, North Korea? And how did North Korea get away with building a nuclear bomb before the rest of the world could-- or at least the United States could put a stop to it?
FRANK MCKENNA: Yeah, so that's an interesting question. I think it was a case where North Korea raced to get a bomb before the rest of the world caught on or were prepared to undertake action against North Korea. And that's one of the reasons, or cosabella, I think, around why Israel and the United States, for that matter, and a lot of the rest of the world, did not want Iran to get a nuclear bomb, because it's one more country that would be nuclearized and a great danger to the world.
I guess the two of them have a certain comparability in terms of danger to the rest of the world. In the case of North Korea, they've got a dictator, but many analysts would say it's more for the defense of North Korea. It's more a defensive weapon. They're using that to defend themselves. And after seeing what happened to Gaddafi, more countries in the world are trying to get a hold of some way to defend themselves, like having a nuclear bomb.
In the case of Iran, I think there's a real concern that because the country's led at the very top by religious fanatics, it could be more of an offensive weapon. And they could undertake actions which would imperil other countries in the Middle East and, in fact, the rest of the world.
PETER HAYNES: When we think about the attacks on Iran's nuclear facilities, they come at a time of increased tension in the Middle East. And this was caused really by President Netanyahu of Israel, who turned up the temperature a couple of weeks ago with his surprise first strike on a group of Iranian military leaders who were meeting in Tehran, which set up this current conflict to where it's at today.
With the continued war in Gaza occupying military tension at home, why would Netanyahu decide now to escalate Israel's conflict with Iran and create a multi-flank operation? Is it part of a personal survival plan given his pending legal problems that will become front and center once he leaves office? Or is it more of a tactical opportunity to strike while Iran's proxies and allies are occupied or depleted?
FRANK MCKENNA: Well, I think it's very much part of a personal survival plan, both politically and legally. He's only kept in power by two right-wing hawks in his government, and they're very, very committed to this war effort. And he may very well lose them if he were to pull back, and this government, in that case, would fall.
And then secondly, he's got legal peril because he's in danger of being convicted and put in jail over some offenses if he's not in office. So yeah, so he's got a strong motivation that way.
I suspect there is an element of tactical opportunity as well. After undertaking this war of attrition with Hamas, which seriously degraded Hamas's capabilities, Hezbollah entered the fray as well, and they were severely degraded in their capabilities as well. And I think, almost gradually, Israel started to realize that the forces against it were no match for its technology prowess. And by continuing, they were able to decapitate Iran's leadership with a number of surgical strikes and also its military capabilities.
So I think it was almost a case of not starting out with that end objective in mind, going back a year or two, but with each step taken, getting closer to being able to carry out their ultimate objective, which was to defang Iran.
PETER HAYNES: Frank, I hate these Monday nights when there's no Blue Jay games, but last night was one of them. And my son and I decided to go back and start watching those Bourne movies, Jason Bourne movies. And there's a scene in one of the movies where he's got his rifle pointed-- or his target pointed at one of the CIA folks. And he's talking to her, and she says something about the person standing right beside her, and they around and realize that the gun is pointed right at them.
Do you think the Israelis actually had the gun pointed at Khomeini and that they could have taken the shot if Trump had given them the approval? Was it that close to regime change, do you think?
FRANK MCKENNA: Well, there are two explanations. One is categorically no. The second is categorically yes. And we don't know which one is true. But it could have been a no, in which case, they actually don't know where Khomeini is, but by saying that they do, they'll force Khomeini to move and perhaps reveal his presence.
So problem is, assassinating fanatical leaders usually leads to another fanatical leader. Over a period of time, Peter, how many commanders of Hamas have we seen assassinated or Iranian commanders? There seems to be an endless supply of people to take their place, and the feeling is that if Khamenei were to be taken out in Iran, we would very quickly see a replacement leader from the Revolutionary Guards.
By the way, on my screen, it just flashed across, apropos to our earlier discussion, Trump is lashing out at Iran and Israel for both breaching the ceasefire that he had negotiated a few minutes ago. So that didn't last very long. That doesn't mean it's over. It just means that it's tenuous.
PETER HAYNES: Yeah. OK, well, Trump's actions against Iran followed his surprise early departure from the G7 Summit, which was held in Kananaskis, Alberta a week or so ago. Do you think the timing was coincidental, or was Trump grandstanding again to make the point of his disinterest in multilateralism?
FRANK MCKENNA: I think more of the latter. I think that he suffers from the same ailment I have a touch of, and that's attention deficit disorder. I think the idea of spending two days listening to everybody else except himself was just too much to bear.
Look, witness his interaction with Carney in the Oval Office, where he chewed up all the oxygen in the room, or with Zelenskyy, or with every other world leader, the leader of South Africa. He really demands a lot of air time, a lot of oxygen, and the idea of having a meeting with a bunch of other world leaders all doing a lot of talking, I think, was probably more than he could bear.
But it's more than that. Ideologically, he's a unilateralist. He does not agree and believe in a multilateral world. If necessary, he would agree with bilateral relationships, where the United States could control the relationship with its greater power. But he really does not respond to a world that was created by his predecessors, where the WTO was created, or the Trans-Pacific Partnerships, or the Paris Accords, or WHO, or any of these multilateral institutions.
I would say that he's just not comfortable in those surroundings and not comfortable being in a surrounding where he has to give air time to other people.
PETER HAYNES: Well, speaking of bilateral arrangements, before President Trump departed from Kananaskis, he did sit down with Prime Minister Carney, and the two leaders held what I will call a sometimes awkward joint press conference, and then later announced that they'll work towards a trade agreement within 30 days.
Meanwhile, Trump's Liberation Day 90-day tariff extensions come due on July 1. How did Canadians circle the square here on the timing differences between the Canada Day deadline and the 30-day extension or agreement between the two leaders? And what's your expectation for what will become a Canada-US trade agreement?
FRANK MCKENNA: Look, just based on conversations I've had in the last few days with people involved in this, I'm not particularly optimistic that we're going to get a zero tariff, or what I call Fortress North America. What we're trying to negotiate is a trade and security package that would have those elements in it. But at this stage, I wouldn't put the pin in and say that we're going to achieve that.
On the other hand, I suspect that when the deadline comes that we're talking about, Kuzma-compliant goods will continue to be tariff-free up until 2026 when we have the review of Kuzma. And that includes, by the way, about 93% of goods from Canada. One of the negotiating parties told me recently that Canada has really escalated its game in terms of making having goods Kuzma-compliant.
So we now have the lowest tariff barriers of any country in the world, and I guess we should be happy with that. The problem is, the ones that we have are particularly burdensome. I'm talking about steel, aluminum, autos, for example, Those sectoral tariffs, they're very difficult. And so we're attacking those in all of the negotiations.
But all of that to say that we're probably the best of a bad lot, and I suspect that will continue to be the case after these 30 days wrap up. Will we get a deal? I find people now increasingly cynical about the opportunity to get a deal, but that doesn't mean that they're not rolling up their sleeves and working hard at it. They are. There's no doubt about that.
PETER HAYNES: Well, you've made the point before that it's one thing to say you have a trade deal and it's another thing to actually negotiate all the finer points of the trade agreement. And clearly, we're still at the high level in these negotiations. How involved would Prime Minister Carney be, do you think? Is he leaving it to his leaders to negotiate with the Americans, or is he involved?
FRANK MCKENNA: Oh, he's very much involved. I'm told that he's texting or talking by phone to the president almost daily.
PETER HAYNES: I guess that's a good thing, eh? We always say as long as they're talking, that something can happen. Or is it not?
FRANK MCKENNA: Yes, that's right. It demonstrates as well that it's a respectful relationship, and we've never heard anything disrespectful between Trump and Carney, and that's a good thing.
PETER HAYNES: Speaking of disrespectful, the Sikh community was a little concerned or upset with Prime Minister Carney's decision to invite Indian Prime Minister Modi as a guest at the G7 Summit. After a sideline meeting between the two leaders, the Canadian government issued a release indicating a reaffirmation of the importance of Canada-India ties, quote, "based on mutual respect, the rule of law, and a commitment to the principle of sovereignty and territorial integrity."
Meanwhile, talks between Indian officials and the RCMP have restarted over the murder of Canadian Hardeep Nijjar, a murder that occurred on Canadian soil that Canadian officials have linked to the Indian government. Do you think Carney moved too quickly to re-establish close ties with India, or do you agree with former Prime Minister Stephen Harper who suggested that it was time to move on?
FRANK MCKENNA: I categorically agree with former Prime Minister Stephen Harper and current Prime Minister Mark Carney on this one. I think it is time to move on. And look, I'll just openly declare my bias because there will be lots of people who disagree. I think that the diasporas that come to Canada should leave their politics at home, full stop.
We should not be fighting foreign wars on our soil. I don't think that we should encourage separatism in other countries of the world. Some of the Sikh community in Canada were openly doing that in the case of Khalistan. And that's not a unanimous view in the Sikh community, by the way, but there were some that were doing that. So, I just categorically don't agree with that.
I'm of the view that we should keep our relationships with other countries at a very businesslike level. Dean Acheson, who's a former Secretary of State in the United States, once criticized Canada, saying, "We were the stern voice of the daughter of God," and by that, he meant that we were hectoring and lecturing and moralistic and judgmental. And I've observed it in my time in the diplomatic corps and my political life that that is a fall-back position for Canada, often tut-tutting with other countries about their particular practices.
Whether it's with their First Nations or whether it's gender communities or human rights or all kinds of areas, we've tended to be excessively patronizing and moralistic, and I just disagree with that. I don't think that's our role, and I think it gets in the way of having important other relationships which can help create the credibility by which we may be able to influence some of these other issues.
PETER HAYNES: So, Frank, as we wrap up Carney's first-time role as president of the G7 Summit, I want to know what grade you give the Canadian leader on his overall performance as host. And what are your expectations for this week's NATO Summit at the Hague and Carney's participation at this event, and for that matter, Trump's participation at the event?
FRANK MCKENNA: I would give Carney a high rating on Kananaskis because the bar was set high and he got over it. I can't tell you it's a 10 out of 10 because there was a limit to what we could achieve, but he controlled the elephant in the room. He was able to come out with a number of communiques. And I'm told that the chemistry amongst the leaders after Trump left was excellent. So I think in terms of what he could control, he controlled it well, no drama, and that's a good result.
What's going on now, I think, demonstrates a pivot from Canada that people should note as being historic in its nature. Firstly, we signed a security pact with Europe writ large, and that will mean that we will be much more aligned with European objectives around defense. We're going to be able to draw down on European credit lines, and we probably will end up sourcing equipment compatible with Europe more likely, and all of this will give us more leverage with the United States.
Quite frankly, 80% of our expenditures now in defense are made with the United States, and I think that we have to accept the fact that after two Trump elections, that that is not necessarily a reliable relationship that we can count on, so we need to have balance in our relationships. And we've signed on with Europe to do that. America will always be our best friend defense partner, but we need alternatives.
And in terms of the percentage of money that we apply to NATO, that will be decided sometime in the next day or two. We've committed to 2%, which we'll achieve this year. After a lot of huffing and puffing about how we couldn't get there till 2032, it looks like we are going to achieve it this year. And we'll be part of a NATO discussion now where we'll have more credibility having achieved-- or about to achieve that minimum native requirement.
The big question will be whether NATO will then push the limits to 3.5% or 5%. Even the United States won't reach those limits. And other countries are now starting to fight back. You'll notice that Spain is resisting the idea of going as high as 5%.
I suspect there will be a compromise, as is usual in these situations. One, that maybe we set a higher target but over a longer period of time. Secondly, we may change the bucket. I'll give you an example of that. Canada is moving our icebreakers, I believe, from the Coast Guard to the military and putting guns on them, and that will allow that to be charged off as a contribution to the native limit.
I suspect all countries will agree that investments in AI and cyber can be part of the bucket as well. And when you look at the kind of asymmetric warfare taking place in Ukraine, you see the credibility of that. The only reason Ukraine is in this battle at all after this amount of time is because of their keyboard soldiers. So I suspect that we'll see some redefinition of what constitutes a NATO-eligible expenditure.
PETER HAYNES: Are you expecting Trump to grandstand over there again? I know he's just boarding Air Force One, I think, this morning to head over to the Hague.
FRANK MCKENNA: [LAUGHS]
PETER HAYNES: Is that just a loaded question? Is that an obvious? Is that rhetorical? [LAUGHS]
FRANK MCKENNA: Yeah. I mean, he tends to command a lot of attention, let's put it that way, which is the most diplomatic way to put it.
PETER HAYNES: Clearly, geopolitics globally have taken center stage in recent weeks, which has overshadowed some of the domestic issues President Trump is facing at home, namely his ability to push through Congress his Big, Beautiful Budget Bill. One topic that has generated interest outside the United States and here in Canada is Section 899 of the proposed budget, which takes aim at countries that the US deems to impose unfair taxes on US businesses by adding taxes on various foreign investors from these discriminatory countries that invest in the US, and that includes pension funds.
Canada is on the hit list because of its digital services tax and the fact that it supports a global minimum tax regime. Recent Senate redrafts of the bill, including softening of language in 899, have taken place, but it does not eliminate completely the potential for increased taxes on foreign investments in the US by Canadians and other so-called global offenders. What is your expectation for 899, and do you see Canadian government officials taking steps to keep Canada off the offenders list?
FRANK MCKENNA: Yes. Section 899 is a sleeper issue that has ominous consequences for Canada and the rest of the world. It's a so-called revenge tax. It will attack countries that have a digital services tax or an undertaxed profits tax. Essentially, any kind of a global minimum tax would be attacked under this provision.
And what it means is that you'll see a 5%-per-year withholding tax on dividends, for example, which is escalating each year, so the pressure will get ramped up each year. It overrides tax treaties, which I think is ominous in itself. It has real consequences for the rest of the world and for the United States.
Basically, it's extending tariffs to capital flows. And it's just another example of the US basically monetizing its hegemony over the rest of the world. The trouble with that is that every action has a reaction, and there will be a reaction here if this goes ahead unabated. And the changes in the Senate are not enough, I think, to prevent there being a reaction.
You have to remember that in spite of the United States being a powerful country, there's still tens of trillions of dollars from around the world that flow into the United States to help finance its appetites. And if this tax were to go ahead, it would raise the cost of capital in the United States almost certainly.
It would also undermine stock valuations, and it would test the US dollar. So all of those are not good consequences for the United States. And for the rest of the world, it would make the United States a less attractive place to invest, quite frankly. And it would hasten a tendency right now, which we're seeing because of the tariff war, of the rest of the world turning elsewhere from the United States in terms of partnerships.
So I don't think it's a healthy long-term trend for the United States. It may give them a sugar high in the short-term, but in the long-term, I don't think it's healthy. How will Canada respond? It'll be part of the multilateral negotiations that are taking place at a world global level but also a bilateral negotiation between Canada and the United States.
If I had to guess, I would say that we would flush the digital services tax if that were the linchpin that would break the logjam and other negotiations. But it is a negotiating chip, and I don't think we'll do anything on it until we know that it will give relief from this revenge tax or help to facilitate an overall tariff and security package.
PETER HAYNES: Sorry, do you think that this would be part of that negotiation for the tariff and security package, or will it be handled differently?
FRANK MCKENNA: I think that it will be part of a bigger negotiation, much more a negotiation that will be around the impact of Section 899. Whether that gets pulled into the big package that's being negotiated now or not, I don't know, but it's definitely being talked about by the negotiating teams.
PETER HAYNES: That one, I can tell you, Frank, caught the institutional community off-guard. A lot of questions, a lot of calls--
FRANK MCKENNA: Yes.
PETER HAYNES: --webinars and the like taking place over the last few weeks with tax specialists.
FRANK MCKENNA: Well, Peter, it also applies to sovereign wealth funds. These are massive walls of money going into the United States, so I suspect everybody has got some accountants and tax lawyers on staff trying to figure out the implications of it.
PETER HAYNES: Yeah. Once again, the lawyers are getting rich here, but nonetheless-- tax lawyers in this particular case. But nonetheless, it is an important topic. So Frank, just before we finish up, I want to address something that is on Bloomberg this morning relating to-- it's actually on the top stories-- relating to Premier Smith in Alberta, who is suggesting that in the next couple of weeks, she expects private sector to announce potentially a pipeline to Northern BC, which would be paired with a massive carbon capture project in Alberta and that it would be driven by private sector ownership.
And this would be taking advantage of Bill C-5, which, I think, was put through the Parliament recently, which suggests that you can fast track projects that are in the national interest. And Danielle Smith believes this particular project, may be first in line. What are your thoughts with respect to hypothetically how this could play out? Is it realistic, or is this still in the early stages of discussion?
FRANK MCKENNA: I would say there are a number of elements of this that are positive and doable. There's no doubt the government of Canada wants the carbon capture and sequestration project known as Pathways, and they're putting a lot of money in the window on that. And they're prepared to make trade-offs if that can be achieved, and those trade-offs would include emission caps, and I think Alberta would be happy with that.
The problem is really whether or not Premier Smith is setting a bar too high. I don't know the answer to that, and nobody does. The problem is, some of this is under the federal control. First of all, we have to have a private sector carrier, a pipeline company that's prepared to take the financial risk and raise the money, and that's a big ticket.
Secondly, are there shippers that are prepared to pay the toll on that pipeline, assuming it's going to be a fairly significant cost? Thirdly, I'm told that there are as many as 100 rights and title holders in the First Nations community along the path of that pipeline. Are they going to end up signing on? And how many will sign on? Some will sign on for an equity stake, but will they all, and will they be able to obstruct the pipeline?
And then you get into the question of British Columbia, which has said that it's not supportive of a pipeline to Northern BC. And then you get into the question of the ban on tanker traffic on that part of BC. So those are all big issues. In a way, this is probably the highest bar that Premier Smith could put up, and it may be impossible to achieve. I don't know. Market conditions may influence it. Financial circumstances may influence it. Legal rights may influence it.
It's not entirely within the federal control. So even though Bill C-5 gives them enormous powers, there are complicating factors in this particular package that make it challenging. If she were to say, look, we will agree with Pathways and put our share of resources behind Pathways in exchange for getting rid of the cap on emissions, and if you can find another million barrels a day by using existing pipelines, debottlenecking, et cetera, et cetera, that's a very doable deal, I think, and could be done quite quickly.
But she's certainly set the bar extremely high, and we'll find out whether the parties can get over it. I just worry when people create a litmus test that may not be achievable. And in this case, at this stage, we just don't know how realistic this is.
PETER HAYNES: Well, it certainly feels like the temperature between Ottawa and Alberta is lower than it was when Prime Minister Carney first took office, with lots of threats coming from the western leader and some of the provinces out west. Would you agree with that statement?
FRANK MCKENNA: Oh, absolutely. There's just a sea change. It's refreshing to see, quite frankly.
PETER HAYNES: Good. I'm really glad to hear that because it was really concerning to hear separation talk at a time when we're trying to bring the country together, facing the threats from the United States, which, again, as you said earlier, President Trump has certainly not treated Prime Minister Carney anywhere near the way he treated Prime Minister Trudeau with respect to governor talk. There's been none of that. It feels like there's a professional bilateral relationship between those two leaders. Is there anything there that we should worry about?
FRANK MCKENNA: No, I think everything you've said is true. I just like the way the dialogue is unfolding now. I feel like we have adults in the room on the major files, and I think respect is being shown across the country. The president is realizing that there are two sides to every story, and I also think the United States is realizing that Canada is not without weapons if we get into a trade war.
I think we're extraordinarily well-armed. We're really the farm that feeds the grocery store here, supplying endless amounts of raw materials for the United States, and I think that reasonable people are starting to realize that, that we're real equals and partners. We're not supplicants in this relationship, and that the United States would be far better off having a Fortress North America rather than Fortress American going it alone.
PETER HAYNES: Yeah, certainly a lot of vacancy signs at hotels in the border states, and more and more of those border leaders, the governors are speaking out about concerns that Canada has abandoned the United States for obvious reasons.
All right, Frank, let's move on to the Blue Jays here. Last Tuesday, I went to the Blue Jays game against Arizona. That was the first time I'd been to the Rogers Center this year. And this was the game, you may recall, where Bo Bichette and Addison Barger went back to back to walk off the snakes.
I was on cloud nine when I walked out, but since then, we've lost three of four, including a series to the worst team in the AL, a team only the Pope cheers for, and that's the Chicago White Sox. The AL East and the Wild Card positions are up for grabs. I believe there's nine teams within 6 and 1/2 games, and one of those is Baltimore. Are you confident we can make the Playoffs?
FRANK MCKENNA: I am. I really like the look of our lineup now. When you see people batting over .300 like Bichette and Clement, you see Borchard hitting a lot of extra base hits, and you see Guerrero starting to get into the extra base hit game and Bichette so well, and Springer and Kirk, and you look through the lineup. I think it's a pretty potent lineup. And that's not including Varsho and Santander at this moment.
So on that side of it, I like the way they're playing, and you see the creativity of a guy like Straw or Clase and so on. So, yeah, I like the way that's going. The only thing I worry about now, increasingly, is the pitching, and Gausman, I think, is a class pitcher, but he's had some tough outings, and Hoffman has not proven to be 100% reliable. So we need another one or two starting arms, at least Scherzer, hopefully, and maybe another starting arm. And if we don't have that, I think we're going to be in trouble. But I like the look of our team, and I think that we will get to the playoffs.
PETER HAYNES: Scherzer is a wild card, I agree with you. Very important. I offered to trade Hoffman back to the Phillies to one of my friends in Philadelphia yesterday for a bucket of balls, used. He did not accept that trade. He wants to give us Romano back because he's been useless for Philadelphia. So we both haven't done so well on that one.
I agree with you. I'm very worried about the backend of our bullpen. We can't keep blowing games like Sunday, where we need to beat Chicago, and Hoffman's been in the crosshairs a lot of games we've let go lately.
So next month when I talk to you, Frank, will be just before the trade deadline. So I want you to start thinking about any deals you want to see the Blue Jays make between that point in time and the trade deadline. It should be interesting. We'll see whether or not-- that Rafael Devers trade was probably good for the AL East to get him out of the division, but what a mess in Boston. I know if you're a Boston fan, you're wondering, how can we let a Top 10 hitter go for, really, a very light package coming back? But wow, that was a case study in mismanagement of a situation, and there's blame to go on both sides there.
So, all right, next month, we'll be talking trade deadline, and hopefully we'll be talking about a world that has the temperatures down a little bit from where it is right now. So I look forward to that conversation. Once again, congratulations to you and Julie on the announcement you're making later today in Miramichi and enjoy your time. Thank you.
FRANK MCKENNA: Thank you.
PETER HAYNES: Thank you for listening to Geopolitics. This TD Securities podcast is for informational purposes. The views described in today's podcast are of the individuals and may or may not represent the views of TD Bank or its subsidiaries, and these views should not be relied upon as investment, tax, or other advice.
[MUSIC PLAYING]
| 2025-06-26T00:00:00 |
https://www.tdsecurities.com/ca/en/tds-geopolitics-episode-66
|
[
{
"date": "2025/06/26",
"position": 70,
"query": "geopolitics diplomacy worker well-being"
}
] |
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] |
|
2025 Third Quarter Forecast Update
|
2025 Third Quarter Forecast Update
|
https://newlinesinstitute.org
|
[] |
In the Russia/Ukraine conflict, limited military and hybrid escalations are likely, constraining the chances of a major diplomatic agreement in the quarter. In ...
|
1 Introduction
The third quarter of 2025 will be headlined by the ripple effects of military escalation between Israel and Iran, as well as U.S. intervention, while regional states will seek to push for a diplomatic agreement over Iran’s nuclear program. In the Russia/Ukraine conflict, limited military and hybrid escalations are likely, constraining the chances of a major diplomatic agreement in the quarter. In the Indo-Pacific, the United States and China will temper their trade war, though there will be periodic escalations in areas such as technology controls and critical minerals exports. The United States could experience an increase in political destabilization, and the conflict in Sudan is likely to intensify, while water treaty tensions will linger between India and Pakistan. The quarter will be marked by shifts from U.S. President Donald Trump’s administration when it comes to global trade, with a series of agreements expected to be reached prior to the expiration of the 90-day pause on reciprocal tariffs, though certain restrictions are likely to remain. Energy volatility associated with geopolitical hotspots and advances in AI paired with intensifying technology competition will also mark the quarter.
Key dates/events:
| 2025-06-26T00:00:00 |
https://newlinesinstitute.org/forecast/q3-2025-forecast/
|
[
{
"date": "2025/06/26",
"position": 66,
"query": "geopolitics diplomacy wage distribution"
}
] |
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] |
|
Monthly Report No. 6/2025 (publication)
|
Monthly Report No. 6
|
https://wiiw.ac.at
|
[] |
Labour, Migration and Income Distribution · International Trade ... Latest trends in global monetary policy and financial markets by Biljana Jovanovikj
|
Javascript is disabled in your browser.
Please enable javascript and try again.
| 2025-06-26T00:00:00 |
https://wiiw.ac.at/monthly-report-no-6-2025-p-7347.html
|
[
{
"date": "2025/06/26",
"position": 95,
"query": "geopolitics diplomacy wage distribution"
}
] |
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|
Payroll and HR Insights Blog | Expert Advice for Businesses
|
Payroll and HR Insights Blog
|
https://californiapayroll.com
|
[] |
On November 15, 2024, a Texas federal court overturned the U.S. Department of Labor's (DOL) rule that would have raised salary minimums for most employees ...
|
One often overlooked aspect is the language in which mandatory posters are displayed. California, known for its diverse population, has specific requirements to ensure that all employees have access to…
| 2025-06-26T00:00:00 |
https://californiapayroll.com/blog/
|
[
{
"date": "2025/06/26",
"position": 51,
"query": "labor regulation white collar workers"
}
] |
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|
Content moderation is a new factory floor of exploitation
|
Content moderation is a new factory floor of exploitation –…
|
https://www.ihrb.org
|
[
"Eiffel Abedin",
"Researcher"
] |
Commentary Labour Rights Technology & AI. Share this page. Many millions of ... National governments must also strengthen domestic labour laws to explicitly ...
|
Regulatory frameworks are not sufficiently adapted to the digital age
While some governments have taken steps to protect these digital workers, it is often limited and inadequate. Between 2023–2024, the Kenyan court heard a landmark case brought by former content moderators against Meta and its subcontractor Sama. While this reflects some judicial independence, the government itself has been largely passive, and there's no systemic protection mechanism yet. A 2022 ruling in a Colombian court forced a gig economy platform to recognize some workers as employees, suggesting potential, but progress is slow and has not yet extended to outsourced digital labor.
The exploitation of content moderators can only be addressed through comprehensive and enforceable legal protections. But this is not a challenge that can be solved at the national level alone.
Countries must begin working together to set regional and cross-border standards that can hold tech firms accountable regardless of where they operate. Regional bodies like the African Union (AU), the Association of Southeast Asian Nations (ASEAN), the South Asian Association for Regional Cooperation (SAARC), and the Caribbean Community (CARICOM) are well-positioned to lead these efforts by developing binding frameworks for digital labour protections and ethical outsourcing practices. At the same time, governments must strengthen enforcement of their own labour laws and hold local subcontractors accountable, ensuring that international firms cannot outsource harm through domestic intermediaries.
Decisive domestic action is urgently needed on a range of issues including:
Enforcing existing labour laws robustly within domestic jurisdictions, especially in the digital and outsourcing sectors.
Creating specific legal provisions to regulate AI data work, content moderation, and algorithm-driven gig platforms.
Licensing and auditing local subcontractors, ensuring that those supplying digital labour to multinational tech companies are in full compliance with international standards on wages, working hours, mental health, and union rights.
Penalising subcontractors engaged in exploitative or opaque practices, including suspensions, fines, and public blacklisting.
Empowering labour inspectorates and digital ombuds offices to monitor tech-sector violations, with adequate resources and independent authority.
Binding transnational agreements and shared enforcement mechanisms are needed as well that prevent companies from exploiting legal loopholes across jurisdictions.
National governments must also strengthen domestic labour laws to explicitly address realities of outsourced digital work, ensuring strong protections for gig workers, mandatory mental health support for high-risk content roles, and strict regulations on algorithmic performance metrics that penalise human vulnerability.
France has led efforts within the European Union (EU) to reclassify gig workers as employees, particularly in transport and delivery platforms. Courts have ruled against platforms like Uber, asserting that gig workers are de facto employees entitled to benefits and protections. France has also introduced discussions on algorithmic fairness in the workplace. The EU Platform Work Directive, adopted in 2024, introduces a presumption of employment for platform workers unless proven otherwise, and demands algorithmic transparency. It’s not specific to outsourced content moderation, but lays the groundwork for regulating algorithmic control and labor classification.
Governments must act collectively, engaging civil society and other stakeholders as well as working through the ILO and other United Nations agencies and regional bodies, leveraging their regulatory authority to challenge a digital supply chain marked by cross-border exploitation. While processes such as the UN Treaty on Business and Human Rights, the ILO’s Discussion on Decent Work in the Platform Economy, and various national and regional due diligence laws represent steps in the right direction, they often fall short by focussing on general supply chains, and overlooking the specific conditions of outsourced digital labour and AI annotation work. International organizations must facilitate the creation of binding, enforceable standards through processes led by member states, to protect the rights and well-being of these workers.
Future binding frameworks must explicitly include outsourced digital labour and place obligations not just on tech multinationals, but also on the domestic subcontractors they operate through. This includes guaranteeing protections for freedom of association, fair pay, mental health, algorithmic transparency, and safe grievance mechanisms. Without this, even the most well-meaning treaties risk reinforcing a two-tiered system of labour rights — one for the physical industries, and another for the digital.
Tech giants must no longer be allowed to hide abuse behind subcontracting chains. The future of labour justice depends on the proactive willingness of the actors. Ultimately, what is needed is a global consensus: that human dignity is non-negotiable, regardless of nationality or industry, to break this unjust cycle of exploitation of content moderators.
Eiffel Abedin is a senior investigator with Equidem, a human rights organisation that documents labour exploitation and corporate abuse in global supply chains, with a focus on the Global South.
| 2025-06-26T00:00:00 |
https://www.ihrb.org/latest/content-moderation-is-a-new-factory-floor-of-exploitation-labour-protections-must-catch-up
|
[
{
"date": "2025/06/26",
"position": 72,
"query": "technology regulation worker rights"
}
] |
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Warren Buffett's Guide to Inflation-Proof Investing
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Warren Buffett’s Guide to Inflation-Proof Investing
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https://pictureperfectportfolios.com
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[
"Nomadic Samuel"
] |
... market share. What is this? Buffett frequently points to Coca-Cola as a quintessential example. Even if the cost of sugar or aluminum climbs, Coke can ...
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Inflation. The word itself can stir up anxiety among savers, investors, and business owners. It signals a rise in the general price of goods and services over time, which means every dollar you hold loses a little bit of its purchasing power every day. When inflation starts creeping upward—whether due to excessive money supply, supply chain constraints, or macroeconomic imbalances—it can threaten not only the value of your wallet but also your long-term financial stability.
Yet, there is reason for calm. If you’re seeking guidance on how to protect your wealth against inflation’s bite, Warren Buffett offers a treasury of insights. Born in 1930, Buffett has witnessed and invested through numerous economic environments, including some high-inflation eras such as the 1970s. Through it all, he has maintained a steadfast approach that manages to keep his capital—and that of Berkshire Hathaway—growing steadily over time.
Why focus on Warren Buffett? Because he’s arguably one of the most successful investors in history, with a net worth in the tens of billions of dollars and an investing track record spanning decades. More importantly, Buffett’s strategies are not cloaked in inaccessible, complex theories. They are built around straightforward principles such as buying strong businesses, seeking out sustainable competitive advantages, and thinking long-term. These principles, if applied prudently, can help anyone shield themselves against inflationary pressures.
We’ll spend this blog post digging into how Buffett perceives inflation, why he’s so wary of certain asset classes in inflationary environments, and how he positions himself—or rather his capital—to withstand (and sometimes even benefit from) rising prices. But before we get into specifics, let’s define what we mean by “inflation-proof” investing. Strictly speaking, no investment can guarantee complete immunity from inflation. However, certain assets and strategies have historically done much better than others when inflation ticks up. Buffett’s approach zeroes in on such assets, backing them with a philosophy rooted in consistent earnings, pricing power, and fiscal responsibility.
Understanding Inflation Through Warren Buffett’s Lens
What Is Inflation?
Inflation is, at its core, the gradual reduction in the purchasing power of money over time. When inflation occurs, each unit of currency buys fewer goods and services than it did previously. This can happen for various reasons: an increase in the money supply, higher production costs, or even demand-pull factors where consumer demand outstrips supply. Whatever its origin, inflation means that as each year passes, your dollar doesn’t stretch as far as it once did.
Warren Buffett has a knack for memorable imagery. He famously likened inflation to a “gigantic corporate tapeworm,” implying that inflation stealthily eats away at a company’s capital. In other words, companies facing rising input costs—from wages to raw materials—must constantly pour profits back into their businesses just to stand still. For individual investors, this translates into a pressing need to generate returns that exceed the inflation rate, or risk seeing real (inflation-adjusted) returns vanish.
Historical Context
One of the more intense inflationary bouts in U.S. history happened during the 1970s, culminating in double-digit inflation rates. Buffett, who was already an accomplished investor by then, observed how inflation eroded the value of both corporate profits and individual savings. Many businesses saw their nominal earnings rise but failed to outpace inflation. For Buffett, this era underscored the importance of focusing on real returns—returns after accounting for inflation—and taught him which types of companies could handle rising costs without losing ground.
Additionally, Buffett learned that certain asset classes, particularly long-term government bonds, could be risky during high inflation. Bonds pay fixed interest, and if the inflation rate surpasses that interest, investors end up losing purchasing power. The 1970s thus provided Buffett with a clear demonstration: heavily leveraged companies and fixed-rate debt instruments tend to struggle mightily when the cost of capital climbs.
Buffett’s Core Philosophy on Inflation
Buffett often remarks that the best protection against inflation is to improve your own earning power—your personal skill set and ability to command higher wages or revenues. But on the investment side, his focus boils down to owning high-quality businesses. By “high-quality,” he means enterprises that can adjust prices upward without alienating customers, use their capital efficiently, and generate enough free cash flow to handle inflationary headwinds.
Moreover, Buffett’s take on inflation goes hand in hand with his long-term holding strategy. Instead of jumping in and out of the market based on inflation reports, he’d rather identify companies that can thrive under a range of economic conditions, inflationary or otherwise. This approach stands in contrast to short-term speculation, which can spiral into panic selling during inflationary scares. Buffett’s calm resolve stems from his conviction that well-chosen businesses can ride out price hikes better than poorly chosen ones, especially if they possess strong competitive advantages.
He also underscores the difference between nominal returns and real returns. Nominal returns may look decent in inflationary times—for instance, a company’s earnings might double in a period of high inflation—but if the overall price level doubles too, there’s no real gain. As an investor, Buffett sets his sights on genuine value creation: growth in the company’s intrinsic worth outpacing inflation.
Why Inflation Matters Today
Although inflation rates in the past decade have been relatively moderate (with some exceptions in recent years), global events can quickly trigger a resurgence of inflationary pressures. Central banks might print more money to stimulate economic activity. Supply chain disruptions or geopolitical tensions might drive up commodity prices. In these scenarios, investors need to be prepared.
Buffett’s perspective is especially relevant as governments worldwide grapple with unprecedented levels of debt and potential monetary expansion. Could high inflation return? Possibly—and if it does, Buffett’s game plan, honed over decades, offers a blueprint for protecting your wealth. It encourages a shift away from assets that are likely to be crushed by inflation—like long-duration bonds or cash hoards—and toward assets that can hold or grow their real value.
Key Characteristics of Inflation-Proof Investments
Inflation-proof is a strong term. Strictly speaking, no investment is fully insulated from rising prices. Yet, Buffett zeroes in on certain traits that can significantly bolster a company’s resilience. These traits apply broadly to many industries but are particularly pronounced in businesses that Buffett loves—think Coca-Cola, See’s Candies, or even segments of Berkshire Hathaway’s holdings like railroads and insurance.
Pricing Power and Moats
If you’ve followed Buffett even casually, you’ve come across the term “economic moat.” It refers to a sustainable competitive advantage that keeps rivals at bay. This can manifest through brand loyalty, patents, proprietary technology, or networks that are difficult to replicate. In inflationary climates, companies with robust moats can raise prices without losing significant market share.
Buffett frequently points to Coca-Cola as a quintessential example. Even if the cost of sugar or aluminum climbs, Coke can incrementally raise the price of a can of soda, and most consumers won’t ditch the brand for a cheaper knockoff. This capacity to hike prices—sometimes called “pricing power”—is the bedrock of inflation resilience. Companies lacking moats may find themselves unable to pass on higher input costs to customers, thus seeing profit margins shrink.
Low Capital Intensity
Another factor Buffett looks for is low capital intensity. Why? Because companies requiring continual infusions of capital—like cyclical manufacturers or tech hardware firms—are particularly vulnerable to inflation. If every year they need to buy new machinery, upgrade equipment, or invest in costly research, inflation boosts those expenses. That means a large chunk of the company’s earnings gets funneled right back into simply maintaining operations.
In contrast, businesses with low capital requirements can keep more of their earnings. Take See’s Candies, for instance. Once the facilities are set up and the brand is established, the day-to-day cost of production doesn’t require massive new outlays of capital every year. Sure, ingredient costs may rise, but if the brand loyalty is strong, these can be offset by slight price adjustments. Hence, a low-capex, high-margin enterprise is more likely to withstand inflation.
Consistent Demand
Companies producing essential or highly desired goods often fare better in inflationary periods. Think consumer staples like beverages, food items, household goods, or even certain healthcare products. Demand for these items tends to remain stable or even rise, regardless of cost hikes. Buffett invests heavily in consumer staples for precisely this reason. People are likely to keep buying toothpaste, chocolate, or soft drinks even if prices inch upwards.
This logic extends beyond consumer staples, too. Industries like energy and utilities can also exhibit stable demand. While the cost structure might shift, society can’t simply “opt out” of electricity or fuel in the short term. Buffett’s bets on railroads (through Burlington Northern Santa Fe) illustrate this principle. Transportation of goods is essential. Even if the prices for commodities shift, trains still need to run, and that consistent usage translates into steady revenue streams.
Long-Term Profitability and Growth
A company’s ability to grow earnings in real terms—above the inflation rate—is crucial. If inflation is running at 3% and your chosen company can only grow earnings at 2%, you’re effectively losing ground. Buffett wants to see real growth that outstrips the inflation rate. This might come from expanding into new markets, introducing new product lines, or improving operational efficiency. Regardless of how it’s achieved, the end result is that the business’s intrinsic value moves upward faster than inflation erodes it.
But how do you identify such companies? Buffett’s method involves reading reams of annual reports, studying the management team’s track record, evaluating past earnings growth, and comparing it against inflation metrics. It’s a thorough process, but one that consistently yields companies that can thrive under varied economic conditions.
Managerial Excellence
Buffett often praises leaders like Ajit Jain (who runs Berkshire’s reinsurance operations) for their prudent underwriting standards or managers at subsidiaries who handle adversity with level heads. During inflationary times, nimble, farsighted leadership can make strategic choices, such as hedging critical input costs, that protect margins. Conversely, incompetent leadership might panic, overreact, or take on debt that becomes painful to service in a high-inflation environment.
No matter how good a company’s fundamentals might appear on paper, poor management can sabotage it. From Buffett’s perspective, it’s essential to find not only a strong product or service but also a leadership team that aligns with conservative financial policies and long-term thinking.
Asset Classes Buffett Favors During Inflation
When inflation ratchets up, investors often scramble for so-called “safe havens.” The usual suspects might include gold, real estate, or exotic commodities. However, Warren Buffett’s track record reveals a different set of preferences—ones rooted in tangible value creation rather than mere speculation. In this section, we’ll examine the primary asset classes Buffett leans on to shield Berkshire Hathaway’s portfolio from the perils of rising prices.
Stocks Over Bonds
Why Buffett Prefers Equities
Bonds, particularly long-term government bonds, provide a fixed interest rate. This arrangement might appear stable, but when inflation surges above that rate, bondholders lose real purchasing power. If you hold a 2% coupon bond and inflation climbs to 4%, you’re effectively underwater. Buffett has repeatedly cautioned that fixed-income investments can be “terrible” during high inflation, as they offer meager returns that fail to keep pace with rising costs.
Equities, by contrast, represent ownership in companies. If a business can pass rising costs to customers (due to strong competitive advantages), its earnings can keep up or even surpass inflation. This possibility positions stocks as a better long-term bet in times of rising prices—provided you pick the right companies. Buffett’s success story rests heavily on selecting such companies, then holding them for years, allowing both earnings and share prices to compound.
Growth vs. Value
While the line between “growth” and “value” stocks can sometimes be blurred, Buffett historically gravitated toward “value” names: companies trading below their intrinsic worth but boasting robust fundamentals. Yet in later years, Berkshire Hathaway’s portfolio included positions in tech-oriented giants like Apple, which might be considered “growth stocks.” The key, for Buffett, lies in paying a reasonable price for future earnings streams, particularly when those earnings can outpace inflation.
Dividend-Paying Stocks
A subset of stocks Buffett holds dear are those paying dividends. Dividends can provide a “paycheck” that you can either reinvest or use to offset inflation-affected expenses. Companies that regularly increase their dividend payouts—sometimes referred to as “dividend aristocrats”—tend to have stable cash flows and strong pricing power. These qualities align perfectly with Buffett’s inflation-resistant criteria.
Real Assets
Tangible vs. Intangible
While Buffett is predominantly an equity investor, he also appreciates the stability of tangible assets—especially those that can generate ongoing income. Real estate, for instance, often sees valuations rise in tandem with inflation. Rents can be raised, and property values might follow inflation upward. If you hold the right kind of property—like apartments in high-demand areas—this can turn into a reliable hedge against inflationary pressures.
Buffett’s Cautious Stance on Gold
Many people consider gold the go-to hedge against inflation. Yet, Buffett remains skeptical of gold because it doesn’t generate cash flow. He once quipped that if you owned all the gold in the world, it wouldn’t produce anything: no interest, no dividends, and no real growth. Gold’s price might spike during times of fear, but Buffett prefers assets that work for you, creating wealth rather than merely storing it.
Farmland and Other Productive Assets
Buffett does admire certain “productive assets,” such as farmland. Farmland produces crops, which can be sold to generate revenue that scales with inflation. Similarly, commercial properties or even energy assets like pipelines can retain value or benefit from price hikes. The consistent theme is that these real assets must do more than just sit idle. They need to churn out cash flows that can be adjusted over time, preferably at or above the rate of inflation.
Strong Brands and Consumer Staples
Names You Know
As mentioned previously, Buffett loves consumer staples like Coca-Cola, Kraft Heinz, and Procter & Gamble. These are classic, everyday goods that people continue purchasing despite inflation. The brand loyalty is so ingrained that minor price increases rarely drive consumers to switch. This loyalty acts as a powerful cushion when raw material or distribution costs climb.
The Moat in Action
Coca-Cola exemplifies pricing power. If the cost of sugar or aluminum goes up, Coke can incrementally raise the price of a can without losing a huge chunk of its customer base. And because the brand is globally recognized, it benefits from scale economies—purchasing raw materials in massive quantities and spreading operating costs over a large revenue base. This synergy between brand power and operational efficiency embodies what Buffett deems an excellent hedge against inflation.
Dividend-Paying Stocks
Why Dividends Matter
Inflation eats away at static returns. Dividend-paying companies, however, often raise their payouts over time, especially if their profits are growing. A rising dividend effectively offsets inflation’s impact by increasing your income in nominal terms. If you reinvest those dividends, you can amplify the compounding effect.
Identifying Reliable Dividend Payers
Buffett’s preference goes to companies with a track record of consistent or growing dividends. These could be banks, utilities, consumer staples, or industrial conglomerates. The hallmark is stability: management teams committed to returning capital to shareholders and a business model robust enough to sustain those payouts through different economic cycles.
Watching Out for Dividend Traps
Not all dividends are created equal. Sometimes, companies with precarious fundamentals offer high yields to lure investors, but they can slash or eliminate those dividends if earnings take a hit. Buffett avoids such traps by diving deep into financial statements, focusing on whether the company’s free cash flow can comfortably cover dividend obligations—even in a down market. This conservative approach ensures that the dividends you rely on to outpace inflation aren’t jeopardized by sudden cuts.
Buffett’s Perspective in a Nutshell
Putting all these pieces together, it’s clear that Buffett’s inflation-proof playbook centers on owning the right businesses with robust fundamentals, primarily through equities. He supplements this with certain tangible, income-generating assets when the economics make sense. Overall, he shuns purely speculative vehicles that lack intrinsic productivity, such as gold or volatile cryptocurrencies, because they don’t produce ongoing cash flows to match or beat inflation.
That said, even Buffett’s strategy isn’t foolproof if the world undergoes extreme scenarios. But short of doomsday, the combination of solid businesses, brand power, low capital intensity, and prudent dividend strategies forms a formidable hedge against rising prices. This is a far cry from the knee-jerk reaction of just stuffing money into gold bars or treasury bonds, which can be less reliable in maintaining real purchasing power over the long run.
Of course, pitfalls still loom. In the next section, we’ll address the common inflation traps many investors—Buffett included—seek to avoid, and we’ll unpack why steering clear of these traps is crucial for safeguarding your capital.
Common Inflation Traps and How Buffett Avoids Them
No matter how carefully you invest, inflation can push you toward certain missteps. Some are born out of fear, others out of greed or misinformation. Warren Buffett, with his decades of experience, has highlighted these traps—both verbally and through his investment decisions. Let’s look at a few and the strategies Buffett employs to sidestep them.
Avoiding Speculative Assets
The Lure of Quick Gains
During inflationary times, investors might seek exotic assets that promise rapid value appreciation. Cryptocurrencies, meme stocks, or commodities futures might appear to rocket in nominal terms. But Buffett warns that speculative frenzies often end in tears. Prices can spike due to hype, not real economic value, leaving latecomers with severe losses when the bubble bursts.
Buffett’s Stance on Crypto
Buffett has famously dismissed cryptocurrencies like Bitcoin, labeling them as non-productive assets. While some see crypto as an inflation hedge, Buffett’s skepticism arises from the fact that crypto doesn’t generate earnings or cash flow; it relies solely on someone else paying more for it later. In an inflationary climate, he’d rather trust a productive business than an asset whose value is entirely market sentiment.
Understanding Opportunity Costs
Money Tied Up in Low-Yield Assets
If you park money in a savings account yielding 1% while inflation is 3%, you’re effectively losing purchasing power each year. Buffett consistently points out that holding too much cash or investing in instruments yielding below the inflation rate is a slow but sure path to wealth erosion.
Watching for Better Allocations
Part of Buffett’s success stems from his relentless pursuit of the best possible use of capital. Whether it’s deploying billions in a new acquisition or holding short-term Treasuries while waiting for a bargain, he’s aware of the opportunity cost. During inflation, opportunity cost takes on heightened importance because every dollar underperforming inflation is slowly eroding.
Avoiding Fixed-Income Investments
Why Bonds Are Risky in High Inflation
Bonds pay a fixed coupon, which loses real value when prices rise. Buffett often references the “bond bubble” phenomenon: when interest rates are near historic lows, bond prices remain high, but even modest inflation can devastate real returns. This is why Berkshire Hathaway holds comparatively little in long-term bonds during inflationary periods.
Short-Term vs. Long-Term Debt
One might argue that short-term bonds or Treasury bills are safer, as they allow reinvestment at potentially higher yields if interest rates rise. Buffett does sometimes keep assets in short-term instruments—if only to maintain liquidity. But the key point is he avoids tying up significant capital in long-term bonds that lock in a sub-inflation coupon for a decade or more.
Chasing High-Yield but Risky Dividends
The Dividend Trap
As we touched on earlier, not all dividend stocks are stable. Some companies offer high yields as a façade, covering large payouts with unsustainable debt. During inflation, their debt costs can skyrocket, forcing them to cut or eliminate dividends. Buffett’s method is to verify the dividend coverage ratio and the company’s free cash flow well before investing.
Buffett’s Preference for Proven Payouts
Long-term dividend growth is more important to Buffett than a single large yield. He looks at companies that have consistently raised dividends over decades, weathering multiple economic cycles. If a firm has managed to grow dividends through past inflationary spells, chances are it can do so again.
Overpaying for Businesses with Weak Pricing Power
The Illusion of Earnings Growth
In an inflationary environment, nominal earnings can rise, making companies look more profitable on paper. But if real profitability (adjusted for inflation) isn’t increasing, you risk paying a premium for what is essentially an illusion. Buffett delves into a company’s real cost structure and future earning potential, ensuring he’s not simply buying ephemeral nominal growth.
Checking for Moat Durability
Even if a company has a moat, inflationary pressures can erode that moat if new competitors find cheaper ways to produce or distribute goods. Buffett avoids businesses that might be disrupted easily when economic conditions shift, focusing on those with time-tested advantages.
Summary of Avoidance Tactics
Putting these traps into perspective, Buffett consistently preaches a mantra of discipline, long-term analysis, and skepticism of quick fixes. His portfolio is a reflection of these beliefs: heavy on equities with pricing power, minimal in long-term bonds, and virtually absent of speculative “bubbles.” He’s content to wait in short-term Treasuries or cash if he finds the market overpriced, rather than chase mediocre deals in the heat of inflation-driven panic or mania.
Ultimately, avoiding these traps requires understanding your own motivations and fears. Are you tempted by sky-high returns offered by an untested cryptocurrency? Are you clinging to cash because you’re too scared to invest? Buffett’s solution is to remain calm, do thorough homework, and trust the intrinsic value of assets that can genuinely outpace inflation.
With these pitfalls in mind, we can now examine how to implement Buffett’s teachings in your own portfolio. Whether you have $5,000 or $5 million to invest, the underlying philosophies remain strikingly consistent—and that’s what we’ll explore next.
Applying Buffett’s Lessons to Your Portfolio
So, you’ve absorbed Warren Buffett’s principles for inflation-proofing your investments, and you’re now eager to put them into practice. How do you translate broad ideas about moats, pricing power, and real returns into concrete steps? This section offers a roadmap, detailing how to re-examine your current holdings, add positions that thrive under inflation, and, importantly, maintain a composure similar to Buffett’s during times of economic uncertainty.
Assess Your Current Investments
Identify Vulnerable Assets
Begin by cataloging your existing portfolio. Separate your holdings into broad categories—cash, bonds, stocks, real estate, etc. Then, consider how each might perform if inflation hits, say, 4% or 5%. Do you hold long-duration bonds locked at low interest rates? They’re prime candidates for capital erosion. Do you have savings accounts yielding close to zero? That’s also a red flag.
Real vs. Nominal Returns
Next, estimate the real returns of each asset class. If your annual bond coupon is 2% and inflation is 3%, that’s a negative real return of -1%. A quick way to make these comparisons is to subtract the inflation rate from the yield or expected annual return. Buffett never invests merely to keep pace with inflation; he aims to exceed it, so consider whether your portfolio does the same.
Build a Buffett-Inspired Inflation Hedge
Focus on Quality Equities
If you find your portfolio is bond-heavy or skewed to assets lacking inflation resilience, begin shifting toward equities with strong moats. Look for companies that have historically raised prices without losing market share—household names in consumer staples, healthcare, or essential services.
Diversify Across Industries
While Buffett famously concentrates his bets, most individual investors may need to spread risk across multiple industries. Consider consumer goods, utilities, pharmaceuticals, and perhaps some technology firms with monopoly-like positions. Diversification doesn’t mean you buy random stocks. It means you pick a handful of Buffett-like companies (quality, pricing power, low debt) in different sectors to cushion any single industry downturn.
Dividend Growth
If you’re particularly worried about inflation eroding your cash flow, target companies that not only pay dividends but also have a track record of raising them. Check their dividend history over at least 10 years, noting how they performed in previous economic slowdowns or inflationary bouts. A consistent pattern of increasing dividends indicates management’s commitment to sharing profits and the firm’s ability to navigate cost pressures.
Embrace Tangible, Productive Assets
Real Estate Considerations
If you have the capital, real estate—especially in stable or growing markets—can serve as a strong inflation hedge. Properties generating rental income can see rent hikes over time, preserving and potentially increasing your real returns. Buffett himself rarely invests directly in real estate on a grand scale (beyond specialized holdings like some of Berkshire’s subsidiaries), but he acknowledges the merits of well-chosen properties.
Other Productive Assets
Think farmland, energy infrastructure, or even certain types of precious metals that also have industrial uses (like silver, if you’re comfortable with the fundamentals). Buffett might not plunge into these personally, but the principle holds: a productive asset that can generate revenue or has inherent utility tends to outpace pure speculative plays in inflationary spells.
Stay Patient and Long-Term Focused
Emotional Control
Inflation headlines can spook markets. You might see sudden drops in equity prices or shifts in bond yields. Buffett’s advice? Resist knee-jerk reactions. If you’ve done your homework and picked high-quality businesses, trust that their underlying value will outlast short-term volatility. Sometimes, a dip in market sentiment can even present a buying opportunity.
Tune Out the Noise
The financial media loves to sensationalize: “HYPERINFLATION COMING!” or “Dollar Crash Imminent!” While caution is wise, panic is not. Buffett’s strategy is to buy strong companies at fair prices and hold them, effectively ignoring the daily chatter. If inflation becomes more severe, the moats and pricing power you’ve selected will, in theory, cushion the blow.
Putting It All Together
By synthesizing these steps—assessing vulnerabilities, favoring equity markets with strong moats, diversifying into inflation-resistant sectors, and maintaining emotional poise—you can sculpt a portfolio that echoes Buffett’s inflation strategy. Of course, adapt these guidelines to your own situation. Buffett’s genius includes understanding his circle of competence and sticking to it. Don’t invest in industries you don’t understand, and don’t chase yields without verifying the underlying fundamentals.
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| 2025-06-26T00:00:00 |
2025/06/26
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https://pictureperfectportfolios.com/warren-buffetts-guide-to-inflation-proof-investing/
|
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"date": "2025/06/28",
"position": 88,
"query": "market concentration and monopolies inflation rate"
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The Case Against AI-Generated Images | by Brandon Moore
|
The Case Against AI
|
https://medium.com
|
[
"Brandon Moore"
] |
Some argue that a universal basic income will be implemented because of AI. I am a supporter of UBI, but UBI as a result of AI is a fantasy. Especially ...
|
“It’s My Work, So I Own The Copyright”
It’s not original, it’s not your work, and you don’t have copyright. DALL-E and NightCafe have terms of service that address this to cover themselves legally—for now. Like any other artist or marketplace, they state that the work you make must be original and/or have the consent of the original party to use elements within. The reason these TOS are bullshit though is that these companies are not abiding by their own TOS—their generators are trained by existing work.
DALL-E terms of service
NightCafe
“It’s the AI model, not its user, that ‘predict[s] stylizations for paintings & textures never previously observed,’ & that predictive function is tied to ‘the proximity of the [style image] to styles trained on by the model.’” CopyrightOffice
“Artist Can Opt-Out Of It”
It should never be something to opt-out of. Artists need help from portfolio platforms to protect their work and uphold copyright law. Not every artist is going to be aware of what's happening with this tech, how their work is being used, how to protect their work, or even alive to do so.
Portfolio sites must not place the burden of protection solely upon their users while offering their work to AI generators. That is abhorrent policy.
ArtStation policy
That happened (above). Then this happened (below).
“What If AI Only Pulled From Stock Images?”
Its still a very similar problem. You have to buy stock images or go by whatever usage rules a particular artist or site makes. And stock contributors must benefit from their contributions. If you have that cleared, I’ll still make fun of you for using AI to make images, but at least you’re talking about operating inside legal and ethical guardrails.
What about Adobe Firefly? Is it only trained on Adobe Stock? I have doubts about that, but even if it is it’s hard to police what gets loaded to the site. Moreover, No stock contributor signed up to have their work taken as training data for a product to compete against them. There is a very clear moral dilemma there.
“You Can Train It On Your Own Art”
Ignoring the entire catalog of scraped images a generator needs to work, I don't see how this approach is useful to anyone if it were only operating on one person’s body of work.
If you’re an established artist, you have a style and you have the ideas. You already know how to take an idea to execution. You’ve never needed AI before. If you’re an amateur, you don’t have the body of work or established style for AI to be useful.
If it is about “sketching” ideas more quickly, I guess that’s something. You can show a client a rough idea in a few minutes. Is that what this great art revolution is supposed to be?
“It's Just A Tool.”
It’s a tool as much as a robotic arm is on an assembly line. It's not meant for artists but as a replacement for artists. It is not a tool for them because it acts as the author. When you engage with AI generation, you are not the artist, you are the commissioner—the client.
AI companies want amateurs to produce artwork without the need for further editing. It opens up the market of digital-based art and design by giving “talent” to anyone and undercutting creatives in the process. All with (at the most optimistic level) an OK sense of craftsmanship.
AI image generators are marketed toward amateurs with the promise that they can create anything. Those with skills are not intended customers because they don’t need the help of AI generators. The only people who stand to benefit from these AI companies are the ones inside them.
Medium’s current stance on AI writing
“Learn AI Or Get Left Behind”.
Why? Where is the value in the competence of plagiarized images or text? In removing imagination, personal touch, craft, and thoughtfulness? It is the process that is enjoyable and leads to a finished work of quality. It is a major reason artists become artists.
But AI-bros think making art is about the destination, about the result and having a collection of results. Using AI to make art is the lamest way to make art you could possibly have dreamt of.
“There’s a lot of technology in search of a customer. You know, in other words, a lot of companies do things because it’s technically possible, but in the end, nobody cares; nobody wants to buy them. And so we see a lot of that technology in search of a customer, and I think the hard thing is to figure out what can be, done but also what people really want to do.” — Steve Jobs
There is also a notion that AI will make your workflow faster and therefore, you more valuable. Increasing production speed is good as long as you don’t lose quality. If you change something from a creative expression to an automated task, it is to your detriment. You cannot remove the creative processes of your work— the core element that separates humans from robotic automation or one artist from another. If you do, you’ll be hired for speed, not creativity, and that is a race to the bottom. Because AI users cannot compete with digital artists on skill, they can only compete on speed and price. This is a detriment to clients as well. Again, The only people who stand to benefit from these AI companies are the ones inside them.
I’ve also seen people claim that automating tasks, even email, will allow them to “leave the competition behind”. Nonsense. Firstly, the time they’re shaving in total is counted in minutes—it’s not impressive. Secondly, if they think they’re going to understand client needs and build relationships to grow their business through automation of communication, they’re delusional. Do not buy into it.
Finally, even if this gAI future comes to fruition where you must have this skill to be a valuable worker, it is the easiest skill to aquire. That is the entire point of this. If you can operate a search engine, you can operate generative AI.
“Why Would I Pay An Artist? ”
So you’re going to pay an amateur with no artistic skill to create art that is made from plagiarized images? This is your plan?
What type of person thinks like this? What society turns the power to create from imagination and skill over to amateurs with neither?
This is what happened to sign painters, though. People who were highly skilled in their craft were replaced by vinyl printers who produced shit banners with shit type and color. Our Main Streets are now littered with them. We’ve chosen that over the beauty of wood, paint, metal, and neon. Why pay an artist? Because you’re a business of some sort that wants to compete in your marketplace. Why would you want poor-quality, plagiarised art attached to your business?
By and large, artistic fields are filled with talented people who create beautiful things and are paid for that labor. We have a society where those people’s work is desired and valued by most. It allows great work to be done and everyone gets to experience that in their TV, movies, games, clothing, museums, murals, or whatever other media. This is a virtue, and I highly prefer it to a buffet of corporate, bottom-line-driven garbage.
“AI Will Just Make Our Jobs Easier”
Oh yea? So we’ll work 3 days a week? Or 4-hour days? Get paid more? No. Any place that values AI will require you to work as much as possible for as little as possible. You’ll have an 8-to-12-hour day of writing prompts. These places will not allow you to produce at the same rate and then give you the rest of the day off, or pay you more, just because you’re using AI. Whatever skill you had to protect your job, whatever enjoyment you had because it was creative, will be lost.
And how has tech made our jobs easier over the last 20 years? Are we working less? Are we making more money? No to both and the wealth gap in the US has grown to laughable levels as the middle class has been decimated, largely in part, due to automation. Tech has benefited corporations and wealthy people the most. There is zero reason to believe AI will turn that around in the US economy.
thoughts from Keanu Reeves
“AI Will Replace People And It Will Be Good”
For these companies and any employer who embraces AI, it’s a means of monetary gains. They want to pay people less and produce more, growing the outrageous wealth gap even more. They only see art as content for mass production.
This idea where AI replaces all labor as we sit back and chill is for morons. When AI operators do all the creative work, people will be punching in information to feed it at a cubicle for minimum wage. Because anyone can do it, and this is a global economy where capitalists seek out the lowest price from anywhere in the world.
Some argue that a universal basic income will be implemented because of AI. I am a supporter of UBI, but UBI as a result of AI is a fantasy. Especially in a country where feeding kids lunch at public school is taboo.
Another threat from gAI, if the tech companies have their way, is the erasure of vocation. This would result in a homogenous soup of mediocrity for things that once were created with craft and individual touch. It would have negative emotional impacts for creative professionals not able to make a living with their work and for workers whose jobs become more demanding due to production expectations. It would make the entire world more depressed. You don’t have to be religous to understand the joy of making a living by doing something you are good at, but those who see vocation as a religious aspect would greatly be negatively affected if they were not able to use their “gifts from God”.
“People Are Just Cogs. Eliminating Them As Much As Possible Is Good For Efficiency”
Right, we wouldn’t want a silly thing like people getting in the way of corporate efficiency. But perhaps it is a thought I can get behind. Keep the people with skill who do the work and are paid the least in a company, and automate the wealthy C-suite people’s jobs whose only value is in making decisions. AI is a calculator—it might be good for that.
“Artists Are Overpaid”
Pro-AI employers don’t care if creative craftspeople are replaced by amateurs because they see their work as frivolous. Pro-AI users with no experience and no skill think they’re going to make a lot of money by displacing creatives who are “currently overpaid”.
On the front end, you should see how many zeros are in the salaries of AI-based companies today.
“AI-Generated Images Are A Benefit To Humanity”
It’s a product. A capitalistic venture that AI companies will benefit from at the cost of digital-based creative careers if they deem it necessary.
They could target any industry or task. Make doing taxes easier, applying for a job, or countering disinformation on social media. Instead, they’ve chosen to replace artists, painters, writers, musicians, and voice-over actors. This is as dumb as it is dystopian.
“You’ll Be Out Of A Job”
I believe many will be, like portrait painters and sign painters that came before. Many creative people will be replaced by software operators who plagiarise their own original work. What a fantastic advocation for AI.
“AI Will Create More Jobs”
The jobs it creates will be in a global economy competing on speed and price.
The purpose of AI is to eliminate jobs. These companies want to devalue art and take what little profit there is from skilled people for themselves while charging a monthly subscription on top of it. A large part of AI marketing is devaluation. They want you to believe everyone’s data is there for the taking. They want to make you believe copyright is an obstacle or not needed. They want you to believe artists are elitists. They want a future where the only ones making a living from art are their CEOs and shareholders.
“The Camera Didn't Replace Painting”
The impact of the camera ultimately meant artist was no longer a profession. They became lone societal rebels of personal expression. Cameras forced 20th-century artists into new creative styles, which is good, but this argument used to insinuate photography had no impact on painting is not true.
Fortunately for art, there was a renaissance of originality after the camera. But AI doesn’t support originality. It plagiarizes it.
Cameras are a tool that opened up a new category of art without plagiarising existing art. It is also responsible for some regulations on copyright and image usage today. There are guardrails set to protect creators of original work which the AI wild west doesn’t believe in.
“This Is Just Like When Personal Computers Came Along In The 80s”
Personal computers were not built from stolen, copyrighted work. Advocates love to compare gAI to the most successful tech products of all time, but fail to acknowledge even the possibility that it is fallible or might have more in common with the majority of tech—a failed product or short lived trend. There is no guarantee gAI will be the next big revolution. It might be the next compact disk or beanie baby.
“You’re Afraid Of New Tech”
The “artists are Luddites” argument. It’s important to know where that term comes from and how it fits in with AI today, but I’ll address this insult as intended: someone afraid of technological advancement.
Speaking for myself (though I’m sure I can vouch for many), I’ve tried about every medium of art there is. I’ve changed software and hardware over the years as a professional Designer. I’ve dabbled in nearly everything to come over the last 15 years to see if it helps me do the work I need to do as a Designer and Illustrator. Suggesting artists (most especially DIGITAL ARTISTS) are against AI because they’re afraid of technological advancement is smooth-brained.
I’m not anti-technology nor afraid of innovation. I’m just not naive enough to be impressed by every new thing. A lot of people see tech (and companies) as harbingers of a Star Trek-like society. In reality, our tech is more like Star Wars. It barely functions and constantly lets people down.
Moreover, digital art is not that valuable compared to traditional mediums. Tech does not make an artist. Traditional artists being “left behind” by AI is a fallacy pushed by people who haven't a clue about how working artists make their work and their careers. AI needs artists; artists do not need AI.
“AI Is Like The Car. A Hundred Years Ago You’d Be Advocating For Saving Horse-Drawn Carriages.”
A perfect analogy. We in America are a car-dependent nation. We have destroyed our cities and towns to build infrastructure for cars. We have torn out public transportation and rail for highways and roads. Auto and oil companies have cornered people into the need for an expensive luxury item that is also a top contributor to global warming, health issues, and deaths. Advancement of technology does not automatically lead to good. Again, this is an assumption that gAI can be placed next to innovations like the car and not ones like the CD.
“AI Lets Anyone Express Themselves Creatively”
I wouldn’t call typing keywords into a system to bash pixels together “creative expression” and I don’t believe anyone is getting into AI for that reason.
AI supporters are not in it for creative, expressive, or artistic purposes. They don’t see this as an opportunity to be an artist or they would already have been on that path. They’re getting into it because they think they can make a lot of money.
“The emotion that a human can channel into artwork, right; cause you look at a lot of the AI art and you can tell its AI art. Its very soulless, like stock images.” — Tim Henson
“I Don’t Have To Learn Artistic Skills.”
LOL, right. This comes from people who never had any intention of making art. Plus, it just results in low-quality images.
The progression of tech in relation to art has mostly been about new ideas and new frontiers of creativity. Modern tech is mostly about increasing the speed of production. Which comes at a loss of thoughtfulness, skill, and understanding. Whatever is not needed to produce, gets lost. Like the directional senses when relying too much on GPS or forgetting phone numbers because its no longer necessary. AI isn’t about increasing creativity it’s about removing it.
Artists have an understanding of what it takes to create good art and as such appreciate it when they see it from others. AI advocates want to shortcut the hard work it takes because they see a monetary opportunity.
Making good art is hard. That’s part of the reason people are drawn to it. Because not anyone can do it. Because there’s something unique in it that connects with another person. Shortcutting the process isn’t advancement, it’s lazy and uncreative. It is the very opposite of what AI companies are claiming to stand for. As it stands today, illegal and unethical.
Plus, there’s something to be said for expertise as a barrier to entry for photo manipulation. Adobe Photoshop’s AI-based tools make it easier to manipulate images believably, which has the consequence of making it easier for people to use it in nefarious ways. It is akin to deep fake videos and AI is putting that power in the hands of more people. “More accurate results with less skill” is not the kind of technology that is for the greater good.
“Real Art Is Frustrating”
Correct.
“Its The Democratization Of Art”
You’d have to be making art for this to hold any water. When using generative AI tools, you are not the creator, you are the client. The generator is your digital contractor. At best, you act as an art director.
There are amazing artists making sculptures from trash. The barriers to entry for creating art are virtually nonexistent. Certainly less than what it requires to produce digital images from a monthly subscription and a computer. Which collapses this argument completley—how can art be democratized when the barrier to entry is an increase in cost and hardware?
What AI companies are democratizing are powerful editing and manipulation capabilities. They’re democratizing misinformation.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://medium.com/graphic-language/my-case-against-ai-ad6489e124f2
|
[
{
"date": "2022/12/01",
"position": 6,
"query": "universal basic income AI"
},
{
"date": "2022/12/01",
"position": 13,
"query": "AI graphic design"
}
] |
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] |
Learning Systems: Shaping the Role of Artificial ...
|
Learning Systems: Shaping the Role of Artificial Intelligence in Education
|
https://bellwether.org
|
[
"Zoe Campbell"
] |
AI offers a wide range of uses in education, from streamlining administrative tasks to providing personalized academic support for students.
|
Note: Authors revised the Foundations and Considerations decks in June 2025 to keep pace with rapid developments in artificial intelligence.
Generative artificial intelligence (GenAI) advancements have prompted both excitement and concern about AI’s impact on education.
AI offers a wide range of uses in education, from streamlining administrative tasks to providing personalized academic support for students to reimagining school staffing models. At the same time as education leaders explore applications of AI, they must carefully balance potential benefits with the inherent risks of such a new and rapidly changing technology.
Bellwether’s three-part Learning Systems series aims to take a holistic approach to help leaders and policymakers make decisions about incorporating AI in schools in the following ways:
FOUNDATIONS
Learning Systems: The Landscape of Artificial Intelligence in K-12 Education is an introductory guide exploring AI developments, capabilities, potential impacts, and current usage.
CONSIDERATIONS
Learning Systems: Opportunities and Challenges of Artificial Intelligence-Enhanced Education takes a deep dive into the broader ecosystem, including technology platforms, policy landscapes, and stakeholder experiences.
APPLICATIONS
Learning Systems: Artificial Intelligence Use Cases offers an outline of how AI could potentially be used in education, detailing opportunities and risks for each use case.
Thank you to those who provided their time and expertise to inform Bellwether’s AI work prior to the Learning Systems series project.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://bellwether.org/publications/learning-systems/
|
[
{
"date": "2024/09/24",
"position": 9,
"query": "AI education"
},
{
"date": "2025/06/25",
"position": 20,
"query": "AI education"
}
] |
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Can artificial intelligence replace journalists? A theoretical ...
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Can artificial intelligence replace journalists? A theoretical approach
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https://www.frontiersin.org
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[
"Londoño-Proaño",
"Degree In Communication",
"Journalism",
"Multimedia Production",
"Faculty Of Social",
"Human Sciences",
"Universidad Tecnológica Indoamérica",
"Buele",
"Degree In Information Technology Engineering",
"Faculty Of Engineering"
] |
by C Londoño-Proaño · 2025 — Artificial intelligence (AI) has proven to be a key tool in the modernization of journalism, allowing routine processes to be optimized, large volumes of data ...
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In the digital age, journalism is facing significant transformations due to the impact of artificial intelligence, a technology that optimizes processes, but also poses ethical and technical dilemmas. This study addresses whether AI can replace journalists or whether it should be considered as a complementary tool that enhances their capabilities. The problem lies in the increasing automation of journalistic tasks and its impact on the quality, ethics and professional identity of the sector. The research justifies its relevance due to the need to understand the scope and limitations of this technology to guarantee ethical and contextualized journalism. The methodology adopted is qualitative and based on documentary analysis. Academic studies, technical reports, and case studies were reviewed to evaluate the use of AI in newsrooms, highlighting its capabilities in automation, personalization, and data analysis, along with its ethical and operational limitations. Among the main results, it is identified that artificial intelligence is effective for tasks such as automated news generation and massive data analysis, but its inability to perform critical analysis and ethical decisions limits it as a complete substitute for the journalist. Likewise, their dependence on trained data perpetuates biases that can compromise the credibility of information. This study highlights that artificial intelligence should be conceived as a support for the journalist, enhancing creativity and analytical depth without compromising the essential values of the profession. It also underscores the importance of a synergistic collaboration between technology and journalists, including regulation and training to take advantage of it ethically and effectively.
1 Introduction
Digital transformation has caused rapid and significant changes in the media industry, generating content saturation and alterations in consumption patterns (Londoño-Proaño, 2022). Audiences have migrated from traditional media to digital platforms, which has led to the sale or merger of several media outlets (Londoño-Proaño, 2021). In addition, the constant entry of new competitors has intensified competition in the sector. Traditional business models have evolved towards diversified strategies that include websites, mobile applications, and social networks, while new content formats such as videos, podcasts, blogs, and infographics, among others, have been developed (Londoño-Proaño, 2021).
In this context of digital transformation, journalism not only faces technical challenges, but also ethical and social dilemmas that redefine its essence as a profession (Dörr, 2023). The immediacy and accessibility to large volumes of information have raised the expectations of audiences, who demand more personalized, relevant and verified content. At the same time, the convergence of media and the expansion of digital platforms have opened up unprecedented opportunities for interaction between journalists and the public, but they have also accentuated issues such as job insecurity, reliance on algorithmic metrics, and the threat of disinformation (Ruggeiro et al., 2022).
Journalism is facing profound transformations driven by technological advances and changes in audience consumption habits (Deuze and Witschge, 2018; Wang and Liang, 2024). Digitalization and global connectivity have redefined traditional communication channels, giving rise to new dynamics in the production, distribution, and access to news content (Gao, 2023). At the same time, phenomena such as information overload, disinformation and polarization on digital platforms put at risk the fulfillment of the ethical and social foundations of journalism. In this scenario, media outlets are forced to adapt quickly to remain relevant, ensuring not only the veracity of their content, but also their ability to connect emotionally and culturally with their audiences (Moran and Shaikh, 2022).
Journalism, as a pillar of democratic societies (Bai, 2023), has always had as its central axis the search for truth, the critical analysis of events, and the construction of stories that allow people to understand their environment. However, the speed with which the digital ecosystem evolves poses challenges for journalistic practice (Franklin, 2014).
It is in this scenario that artificial intelligence has begun to play an increasingly relevant role. Its impact extends to multiple areas of journalism, from automated content generation to predictive analysis of information trends (Veluru, 2022). This phenomenon raises questions about creativity and authorship in a profession historically associated with human ethical and narrative values.
AI is also transforming the relationship between journalists and technologies, streamlining repetitive tasks and personalizing content for more segmented audiences. However, this integration is not without its challenges (Ali and Hassoun, 2019).
In the midst of these dynamics, contemporary journalism seeks to balance its informative mission with the demands of an ever-evolving media environment. It is at this point that a fundamental question arises: How can artificial intelligence be integrated into journalism in a way that preserves ethical values and professional rigor, while avoiding compromising the critical role of the journalist?
In this context, the aim of this article is to analyze whether artificial intelligence has the potential to replace journalists, considering its technical capabilities, its limitations in critical, ethical and contextual analysis, and its possible complementary role in the journalistic field.
This study adopts a qualitative approach based on documentary analysis, reviewing academic literature, specialized reports and case studies on the use of artificial intelligence in journalism. The methodology allows us to explore the capacities, conflicts and limitations of AI in journalistic tasks, with an emphasis on critical aspects such as ethics, contextual analysis and human creativity. The methodology focuses on identifying patterns and contrasting perspectives to respond to the debate on whether AI can replace journalists or act as a complementary tool.
2 Artificial intelligence and journalism
Artificial intelligence is defined as the field of study within computer science that develops systems capable of performing tasks that normally require human intelligence, such as pattern recognition, logical reasoning, decision-making, and autonomous learning (Broussard et al., 2019; Spector and Ma, 2019). This discipline combines elements of mathematics, statistics, data science, and neuroscience to create models that simulate human cognitive processes.
The advancement of artificial intelligence (AI) in industrial processes has been a central axis in research, generating impacts that transcend the economic sphere and also reach social dimensions. Today, AI is not only an area of academic research, but also a technology that participates in multiple sectors, from medicine to the automotive industry, journalism and the media (West and Allen, 2018).
In the context of journalism, AI encompasses technologies such as Machine Learning, Natural Language Processing (NLP), and generative algorithms (Ioscote et al., 2024). These tools allow you to automate processes such as news generation, analysis of large volumes of data, and personalization of content according to the interests of audiences. For example, machine learning facilitates predictive analytics to identify informational trends, while natural language processing helps structure complex data into understandable narratives (Hermann, 2022). In addition, generative algorithms, such as GPT-3 and GPT-4, have proven to be capable of producing journalistic texts with remarkable levels of coherence and fluency, although not without ethical and technical limitations (Fernández-Barrero et al., 2024). At the same time, content personalization has improved the user experience, by offering news tailored to their interests, which strengthens the relationship between media and their audiences.
The impact of AI on journalism is not limited to the automation of tasks. Their integration has triggered a change in newsroom dynamics, freeing journalists from repetitive tasks and allowing them to focus on analytical and creative tasks (Marconi, 2020).
3 Materials and methods
3.1 Study design
This study adopts a qualitative approach based on documentary and critical analysis. This approach allows us to explore the influence of artificial intelligence on journalism from a comprehensive perspective, evaluating its technical capabilities, limitations, conflicts and its impact on professional dynamics. The methodology focuses on identifying patterns and reflecting on the ethical, social and technological challenges posed by the adoption of AI in this area. By integrating different perspectives, this approach contributes to a deeper understanding of the phenomenon (Bryman, 2016), enriching the debate on whether this technology has the potential to replace journalists or whether its role should be conceived as that of a complementary tool.
3.2 Data source
Secondary sources were used to ensure a broad and up-to-date view of the implementation of AI in journalism. These sources include academic literature, technical reports, and case studies. In terms of the academic literature, peer-reviewed articles addressing the development and impact of AI in the media were selected. Technical reports, such as those published by the Reuters Institute for the Study of Journalism, provide up-to-date data on the perception and use of AI in newsrooms. Likewise, case studies were analyzed that illustrate how tools such as ChatGPT, Wordsmith, and DALL-E have been integrated into news production and distribution processes, highlighting both the operational benefits and limitations in information quality (Center for News, Technology, and Innovation, 2024).
3.3 Data collection
Data collection was carried out through a systematic search in academic databases such as Scopus, Web of Science and Google Scholar. To ensure the relevance of the analysis, publications from 2018 to 2025 were included that addressed the application of AI in journalism and explored its ethical, technical and practical implications. Literature in English and Spanish was prioritized with the aim of reflecting both global and regional perspectives. This methodological process combined the systematic review of secondary sources with a critical analysis, allowing to identify patterns and evaluate the ethical and operational implications of the use of AI.
3.4 Ethical considerations
The analysis was carried out based on open sources or accessible through institutional licenses, ensuring transparency and integrity in the interpretation of the data. Objective criteria were followed to avoid bias, and recognition of all sources used was ensured, preventing any misappropriation of ideas.
4 Analysis and discussion
The social and professional acceptance of artificial intelligence in journalism is not uniform at the global level, but varies significantly according to the cultural, political and technological context of each region. Below are some trends observed in Europe, Asia and the Americas, which provide insight into how these technologies are perceived and adopted based on their specific uses and the regulatory and institutional frameworks surrounding them.
The development of artificial intelligence applications in journalism, especially in newsroom environments, has shown significant advances in recent years. Between 2021 and 2024, there was a 22% increase in the number of professionals familiar with artificial intelligence (Newman et al., 2024). In 2021, only 30% of people acknowledged having knowledge about this technology (Newman et al., 2021), in 2022, it rose 40% (Newman et al., 2022), in 2023 it was to 45% of journalists (Newman et al., 2023), and finally, the figure rose to 52% in 2024 (Newman et al., 2024, p. 202). In 2021, about 5% of content in certain media outlets was produced using AI, reflecting an early stage of its incorporation into news-making processes (Newman et al., 2024).
In Europe, the adoption of artificial intelligence in journalism shows varying levels of acceptance, marked by strong caution (Newman et al., 2024). Countries such as Germany and the United Kingdom have low approval rates for the use of AI in content creation without human supervision, with figures ranging from 10 to 15% (Newman et al., 2024). This attitude can be attributed to the negative perception that the media have projected on AI, as well as ethical and regulatory concerns around transparency and the impact on the quality of news. However, the Nordic countries, such as Finland and Norway, stand out for their openness, with comfort levels above 40% in the use of AI tools to automate routine tasks such as transcription and summarization generation (Newman et al., 2024).
On the other hand, in the Asian continent, the acceptance of AI in the journalistic field is significantly higher. Japan and South Korea, recognized for their technological leadership, have approval rates of more than 50% for the use of AI in content personalization and automated news generation. In India, despite having more limited internet penetration, young people show a favorable attitude towards these technologies, with acceptance levels exceeding 60% (Newman et al., 2024). This enthusiasm may be related to the rapid growth of digitalization in the region and the perception of AI as a tool to improve efficiency in media.
On the other hand, in America, attitudes towards AI in journalism are heterogeneous. In the United States, acceptance varies by application: while 45–50% of respondents consider AI useful for tasks such as personalization and data analysis, only 20% support its use for content creation without human supervision, reflecting distrust in its accuracy and ethics (Newman et al., 2024). In contrast, Latin America shows greater receptivity, with countries such as Brazil and Mexico reaching acceptance rates of 55% (Newman et al., 2024). This interest may be motivated by the need for the media to optimize costs and generate content efficiently, adapting to the demands of their audiences.
4.1 AI capabilities in journalism
Artificial intelligence has demonstrated its potential to transform various areas of journalism, optimizing processes that previously depended exclusively on human work (Londoño Proaño, 2024). In the following analysis, they are divided into the subtitles: news gathering, news production and news presentation.
4.1.1 News gathering
News gathering has undergone a profound transformation with the incorporation of artificial intelligence, which makes it possible to identify, monitor and verify information more quickly and accurately in an increasingly dynamic information environment.
Artificial intelligence (AI) has optimized newsgathering in newsrooms. One of the cases is the use of artificial intelligence in the newsroom of the Reuters Agency (Redacción, 2018). AI-based tools, such as News Tracer and Lynx Insight, make it possible to monitor large volumes of information in real time, identifying emerging trends, relevant news events, and patterns of social behavior before they become widely known stories (Redacción, 2018). These technologies analyze data streams from social networks, open databases, and official sources, using natural language processing (NLP) algorithms to filter and classify useful information.
Another case is Dataphyte, a Nigerian platform specializing in data journalism, which integrates artificial intelligence tools to optimize the collection and analysis of large volumes of information from various sources, including government policies, economic, health, and educational data (Dataphyte, 2025). Through the use of natural language processing and machine learning technologies, the platform transforms complex datasets into accessible and understandable formats, making it easier to identify patterns and trends relevant to the development of news content (Dataphyte, 2025). This automated processing capability allows journalists to more agilely detect emerging issues and conduct deeper investigations, thus improving both efficiency and accuracy in the newsgathering phase (Dataphyte, 2025).
4.1.2 News production
Artificial intelligence in news production has facilitated the automation of newsrooms, the analysis of large volumes of information and the generation of more accessible and accurate narratives.
Recent studies highlight that, while initially automation in newsrooms was limited to algorithms designed for specific tasks, the evolution towards more complex applications has allowed artificial intelligence to emulate traditionally human functions, such as article writing (Moran and Shaikh, 2022).
One of the processes that AI is capable of creating news automatically, especially in contexts where the fast and accurate presentation of human structured data is required, optimizing production and leaving journalists free to dedicate themselves to more complex articles (Nasser and Abu-Naser, 2024).
Tools such as Wordsmith and Heliograf allow for the automatic generation of content, especially in areas such as finance, sports, and weather events (Gutiérrez-Caneda et al., 2023; Lopezosa et al., 2023). This technology streamlines news production, reducing costs and freeing journalists from repetitive tasks to focus on more creative and analytical activities (Calvo-Rubio and Ufarte-Ruiz, 2020). The Los Angeles Times’ implementation of Quakebot for earthquake coverage and the Associated Press’ automated financial reporting projects are concrete examples of how AI is redefining newsroom routines (Ayerdi et al., 2023). In addition, it has been shown that the personalization of editing processes, through advanced algorithms, significantly improves the accuracy and efficiency of published news (Abarca and Arroyo, 2024).
Another case of automation occurs at RTVE in Spain. The incorporation of artificial intelligence in RTVE, Spain’s main public media outlet, is supported by collaborations with university research centres (Terol, 2023). A prominent example is the use of Narrativa. AI for the automation of sports and electoral news, managing to generate structured content with great precision and aligned with the editorial guidelines of the medium (Terol, 2023). This technology facilitates the efficient and rapid coverage of events, optimizing resources that can be allocated to more strategic and analytical tasks (Verma, 2024).
Another type of journalism that benefits from artificial intelligence is data journalism, as it requires high-volume analysis. AI provides tools that allow journalists to process and synthesize massive information in seconds and makes complex topics more accessible (Türksoy, 2022). Advances in NLP have been particularly relevant, as they allow accessible and understandable reports to be generated from complex databases (Calvo-Rubio and Ufarte-Ruiz, 2020). These types of applications have been key in investigative journalism projects, such as the analysis of documents leaked in large volumes, contributing to transparency and accountability in the public sphere. These tools combine social media data analysis and algorithmic verification to identify emerging news with high reliability, significantly reducing the time needed to validate relevant sources and news (Ayerdi et al., 2023). These capabilities not only optimize work in newsrooms, but also strengthen the credibility of news in a saturated media environment.
Data storytelling requires thorough collection, cleansing, and analysis, tasks that AI can efficiently automate (Weber et al., 2018). Machine learning tools make it possible to identify hidden patterns in complex databases, while advanced algorithms generate interactive visualizations such as graphs and maps (Lim, 2023). Not only does this improve the accuracy of data-driven storytelling, but it also amplifies its impact by making it more accessible and understandable to audiences. AI strengthens the practice of data journalism in a saturated information environment (Banafi, 2024).
4.1.3 News presentation
News presentation has evolved with the incorporation of artificial intelligence, which makes it possible to adapt news content to the individual preferences of audiences and optimize its distribution in highly competitive digital environments.
By analysing user behavior patterns, tools such as Chartbeat and Parse.ly optimise in real time the selection and arrangement of the most relevant news for each audience (Retegui and Focás, 2024). In addition to collecting and processing data on audiences, artificial intelligence tools offer journalists topic suggestions based on audience preferences, as well as examples of titles and keywords that optimize the connection with readers’ interests (Retegui and Focás, 2024).
AI-powered content personalization has enabled publishers to improve the user experience and increase their interaction with digital platforms. Systems such as those developed by Chartbeat and Parse.ly not only analyze readers’ behavior patterns, but also predict future interests, resulting in highly segmented and effective content delivery (Kristensen and Hartley, 2023). In Ibero-American countries, innovative initiatives have been implemented that integrate AI to personalize the offer of content on social networks and web platforms, adjusting to the cultural and linguistic preferences of local audiences (Apablaza-Campos and Tinjacá, 2024). This capability not only improves user loyalty, but also allows publishers to compete in saturated markets by delivering more relevant and timely information.
AI makes it possible to adjust the user experience in real time, offering personalized recommendations and optimizing interaction with journalistic platforms (Salgado Reyes, 2023). Artificial intelligence is revolutionizing content personalization in journalism, allowing news organizations to use advanced algorithms to identify consumption habits and create experiences tailored to individual preferences. Túñez-López et al. (2021) mentions that these tools not only optimize the relationship with audiences, but also open up new possibilities to transform the business model towards more interactive and personalized products.
4.2 Limitations of AI
One of the main problems with AI is its dependence on the data used for its training, which is often imbued with historical or contextual biases (Al-Zoubi et al., 2024). AI algorithms, by replicating patterns present in their databases, can generate inaccurate results or perpetuate prejudices, affecting the quality of content (Shin et al., 2022; Nasser and Abu-Naser, 2024). This is particularly problematic in contexts where critical analysis and contextualization are required, inherently human skills that AI cannot emulate (Broussard et al., 2019).
In addition, research indicates that the lack of transparency in algorithmic models hinders the effective supervision of the content generated (Calvo-Rubio and Ufarte-Ruiz, 2020). This black box effect generates uncertainty regarding the reliability of information, as users and professionals cannot understand how decisions are made in automated systems (Dijkstra et al., 2024). AI has made it easier to create disinformation using advanced technologies such as deepfakes. Generative algorithms can create counterfeit images, videos, and texts that are difficult to detect, exacerbating the problem of misinformation in an already saturated media ecosystem (Akhtar et al., 2023). This not only affects the credibility of the media, but also weakens the public’s trust in legitimate information, as even authentic content can be discredited as manipulated (Helmus, 2022). Examples such as the use of deepfakes in political disinformation campaigns demonstrate how AI can be exploited to influence elections, generate social tensions, or manipulate public perceptions (Battista, 2024). This capacity raises critical ethical questions about the regulation of these technologies and the responsibility of the actors involved in their development (Terol, 2023).
Automation promises quick and efficient solutions, but it also raises questions about the loss of intrinsically human elements, such as ethical judgment, empathy, and cultural context, which have been important in the construction of journalistic narratives (Sančanin and Penjišević, 2022).
AI-powered automation is transforming working practices in journalism, but it also raises concerns about the displacement of professionals. Some authors warn that, although AI makes it possible to optimize processes and increase efficiency, it threatens traditional roles in the newsroom, especially those related to the generation of routine news (Londoño Proaño, 2024). This forces journalists to adapt to more technical or specialized roles, leaving aside narrative and analytical skills that are fundamental for investigative journalism.
In addition, audiences, while valuing the technical quality of automated texts, tend to prefer those created by humans due to their ability to empathize and contextualize facts in a deeper way (Biswal and Gouda, 2020).
On the other hand, it should be noted that this transition is not always accompanied by adequate training, which generates a skills gap in the sector (Canavilhas, 2022; Peña-Fernández et al., 2023). Although AI has the potential to complement human activities, its implementation without supervision or training can lead to errors in the interpretation of data or in the production of relevant content.
The integration of AI in journalism also faces ethical challenges, such as the lack of clear control mechanisms to ensure that the content generated is truthful and respects principles of impartiality (Dierickx et al., 2024). The absence of specific ethical standards for AI in the media exacerbates the risk of its misuse, either through negligence or malicious intent (Gutiérrez-Caneda et al., 2023). On the other hand, current regulations do not always encompass the complexities associated with emerging technologies. Although regulatory frameworks have been proposed, their implementation at the global level is fragmented and lacks harmonization, allowing legal gaps to be exploited (Terol, 2023).
One of the main limitations of AI in journalism is its inability to fully guarantee the quality and veracity of the content generated (Lopezosa et al., 2024). While AI is effective at automating processes and personalizing news experiences, its use in tasks such as fact-checking and contextual analysis still relies significantly on human oversight. The authors highlight that AI can make critical mistakes when interpreting data, especially in complex situations that require in-depth knowledge of the historical, social, or cultural context (Leiser, 2022). In addition, the lack of transparency in the algorithms that employ these technologies poses an ethical challenge, as it makes it difficult to identify biases or errors that could compromise information neutrality (Lopezosa et al., 2023).
The excessive use of automated technology can reduce journalists’ autonomy, displacing their role as guarantors of editorial responsibility (Al-Zoubi et al., 2024). These limitations underscore the need to establish clear ethical and regulatory standards that ensure that AI is used as a complementary tool and not as a substitute for the core values of journalism.
4.3 Conflicts
One of the critical issues in news production is intellectual property. The growing adoption of artificial intelligence (AI) in journalistic production processes has generated substantial debates around intellectual property, particularly regarding the use of copyrighted content in the training of language models. A paradigmatic case in this context is the lawsuit filed by The New York Times against OpenAI and Microsoft in December 2023 (Brittain, 2025). The journalistic organization maintains that millions of its articles were used without its consent to feed systems such as ChatGPT, which, according to its argument, constitutes a direct violation of its copyright (Grynbaum and Mac, 2023). The New York Times points out that these practices not only replicate textual material almost identically, but also compromise the economic viability of the media by reproducing their content without due compensation or acknowledgment of authorship (Grynbaum and Mac, 2023). This scenario underscores the urgent need to establish legal frameworks that regulate the use of protected materials in the training of AI models, ensuring both technological innovation and the protection of the rights of content creators.
On the other hand, the adoption of artificial intelligence (AI) tools in journalistic organizations is closely conditioned by the ownership structure of the media and the strategic interests of their owners. A significant example of this dynamic is the case of the Los Angeles Times, acquired in 2018 by businessman Patrick Soon-Shiong. In December 2024, Soon-Shiong announced the implementation of an AI-based tool called bias meter, which aims to assess the political bias of published articles and provide readers with automatically generated alternative perspectives (Herzlich, 2024). This initiative reflects how the editorial and political objectives of owners can influence the use and orientation of emerging technologies within the media ecosystem.
The increasing use of artificial intelligence in the personalization of news presentation, motivated mainly by commercial interests, poses significant challenges to the quality of public debate. Various studies have pointed out that this extreme personalization limits the exposure of users to divergent perspectives, which is essential for the exercise of deliberation in democratic societies (Zuiderveen Borgesius et al., 2016). By prioritizing content that reinforces users’ previous beliefs and preferences, recommendation algorithms contribute to the formation of information bubbles and echo chambers that, far from promoting information pluralism, accentuate political polarization (Helberger, 2019). In this context, while artificial intelligence optimizes the connection between media and audiences, its application without corrective mechanisms can weaken the role of journalism as a facilitator of civic dialogue and the critical exchange of ideas.
4.4 How journalism should work in the age of AI
After what has been analyzed in the previous sections, it is suggested that the way in which AI should be worked is complementarity, and avoiding possible threats.
The relationship between artificial intelligence and journalists should be conceived as a synergy where technology amplifies human capabilities without replacing them (Túñez-López et al., 2021). AI frees journalists from operational tasks such as data collection and organization, allowing them to focus on building deep narratives and making ethical decisions (Túñez-López et al., 2021).
AI excels at automating repetitive tasks, such as generating news based on structured data, transcribing interviews, and classifying large volumes of information (Londoño Proaño, 2024). These features allow journalists to focus on more analytical and creative activities.
In addition, in investigative journalism projects, machine learning algorithms make it possible to analyze large data sets and find hidden patterns that would otherwise go unnoticed (Fridman et al., 2023). Collaboration between journalists and AI in data journalism not only streamlines analysis processes, but also amplifies the ability of professionals to address complex issues more accurately (Canavilhas, 2022).
AI also makes it possible to personalize the user experience by analyzing content consumption patterns and adjusting to the individual interests of audiences. AI tools optimize the distribution of news in real time, which increases user loyalty and improves their interaction with digital platforms (Apablaza-Campos and Tinjacá, 2024). However, journalists are still essential to ensure that personalization does not compromise the diversity and depth of information, preventing algorithms from prioritizing only high-performing or highly segmented content.
Understandably, AI can execute tasks quickly and accurately, but ethical decision-making and contextual interpretation remain uniquely human domains. Journalists act as guarantors of the integrity and credibility of content, especially in situations where narratives can have a significant social impact. This complementary interaction allows AI to focus on technical optimization, while journalists maintain editorial control and ethical accountability (Monti, 2019).
The incorporation of AI in journalism requires constant training of professionals so that they can make the most of these tools (Ali and Hassoun, 2019). The need to integrate technical knowledge into the journalistic field, fostering a new generation of professionals capable of handling advanced technologies without losing sight of the fundamental values of journalism (Lopezosa et al., 2024). This symbiosis not only increases the competitiveness of the media, but also strengthens the public’s trust in information.
On the other hand, the way to avoid the possible threats that AI represents for journalism is to mitigate the effects. It is essential to implement human oversight mechanisms that ensure the veracity, ethical rigor, and contextualization of AI-generated or AI-assisted content (Gutiérrez-Caneda et al., 2024). It is essential to develop regulatory frameworks that protect intellectual property and promote algorithmic transparency, especially in the collection, production, and personalization of news (Helberger, 2019).
Another key strategy is to strengthen media literacy for both journalists and audiences, empowering professionals to use AI as a complementary tool, and users to recognize automated or manipulated content. Only through a combination of ethical oversight, effective regulation and continuous training will it be possible to integrate AI into journalism in a way that enhances its core values and contributes to a pluralistic and democratic information ecosystem.
5 Conclusion
Artificial intelligence (AI) has proven to be a key tool in the modernization of journalism, allowing routine processes to be optimized, large volumes of data to be analyzed, and content to be personalized for audiences. These capabilities have contributed significantly to the operational efficiency and competitiveness of the media in a digitalized environment. However, AI does not replace the essence of the journalist as a narrator, analyst and interpreter. Tasks that require critical analysis, interpretation of complex socio-cultural contexts, and ethical decision-making remain uniquely human, highlighting the importance of close collaboration between journalists and technologies. This synergistic model can redefine journalism as a more efficient and innovative practice, but without compromising its core values. In this sense, it is proposed that AI should be seen as a complementary tool that enhances journalistic work without replacing its human essence.
The integration of AI in journalism faces technical, ethical and operational limitations. Reliance on trained data can perpetuate historical biases and produce results that affect information quality. The lack of transparency in algorithms makes supervision difficult and generates distrust in the veracity of the content generated. In addition, the malicious use of technologies such as deepfakes exacerbates disinformation problems, compromising the credibility of the media. The lack of technical training in newsrooms and the fragmentation in the regulation of these technologies also represent important barriers to their responsible implementation.
The adoption of AI in newsrooms requires not only technical adjustments, but also a cultural change within newsrooms, encouraging greater training and reflection on the ethical values that should guide its use in today’s media ecosystem (Peña-Fernández et al., 2023).
The future of AI journalism requires deeper research in several areas. It is essential to develop advanced generative models that are capable of interpreting cultural and social contexts, improving the quality of automated content. Likewise, the integration of technologies such as blockchain could strengthen the transparency and traceability of information, fundamental elements in combating disinformation (Nasser and Abu-Naser, 2024). It is also crucial to design training programs that allow journalists to use these tools ethically and efficiently, preserving diversity and depth of information, and enhancing human skills without compromising the fundamental values of journalism.
Finally, future studies should explore the creation of global regulatory standards that ensure the responsible use of AI in the media, fostering a balanced interaction between technological innovation and journalistic principles.
Author contributions
CL-P: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Writing – original draft, Writing – review & editing. JB: Data curation, Methodology, Supervision, Writing – original draft, Writing – review & editing.
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by Universidad Tecnológica Indoamérica, by paying the APC.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declare that Gen AI was used in the creation of this manuscript. Artificial intelligence (AI) was used as a tool for the search of relevant academic articles, optimizing the selection of current and reliable sources. In addition, AI was used to improve the writing of the text, ensuring accuracy in language and clarity in the presentation of ideas.
Publisher’s note
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| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.frontiersin.org/journals/communication/articles/10.3389/fcomm.2025.1537146/full
|
[
{
"date": "2025/06/01",
"position": 19,
"query": "artificial intelligence journalism"
}
] |
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] |
Half of today's jobs could vanish—Here's how smart ...
|
Half of today’s jobs could vanish—Here’s how smart countries are future-proofing workers
|
https://www.sciencedaily.com
|
[] |
AI is revolutionizing the job landscape, prompting nations worldwide to prepare their workforces for dramatic changes. A University of Georgia study ...
|
Artificial intelligence is spreading into many aspects of life, from communications and advertising to grading tests. But with the growth of AI comes a shake-up in the workplace.
New research from the University of Georgia is shedding light on how different countries are preparing for how AI will impact their workforces.
According to previous research, almost half of today's jobs could vanish over the next 20 years. But it's not all doom and gloom.
Researchers also estimate that 65% of current elementary school students will have jobs in the future that don't exist now. Most of these new careers will require advanced AI skills and knowledge.
"Human soft skills, such as creativity, collaboration and communication cannot be replaced by AI." -- Lehong Shi, College of Education
To tackle these challenges, governments around the world are taking steps to help their citizens gain the skills they'll need. The present study examined 50 countries' national AI strategies, focusing on policies for education and the workforce.
Learning what other countries are doing could help the U.S. improve its own plans for workforce preparation in the era of AI, the researcher said.
"AI skills and competencies are very important," said Lehong Shi, author of the study and an assistant research scientist at UGA's Mary Frances Early College of Education. "If you want to be competitive in other areas, it's very important to prepare employees to work with AI in the future."
Some countries put larger focus on training, education
Shi used six indicators to evaluate each country's prioritization on AI workforce training and education: the plan's objective, how goals will be reached, examples of projects, how success will be measured, how projects will be supported and the timelines for each project.
Each nation was classified as giving high, medium or low priority to prepare an AI competent workforce depending on how each aspect of their plan was detailed.
Of the countries studied, only 13 gave high prioritization to training the current workforce and improving AI education in schools. Eleven of those were European countries, with Mexico and Australia being the two exceptions. This may be because European nations tend to have more resources for training and cultures of lifelong learning, the researcher said.
The United States was one of 23 countries that considered workforce training and AI education a medium priority, with a less detailed plan compared to countries that saw them as a high priority.
Different countries prioritize different issues when it comes to AI preparation
Some common themes emerged between countries, even when their approaches to AI differed. For example, almost every nation aimed to establish or improve AI-focused programs in universities. Some also aimed to improve AI education for K-12 students.
On-the-job training was also a priority for more than half the countries, with some offering industry-specific training programs or internships. However, few focused on vulnerable populations such as the elderly or unemployed through programs to teach them basic AI skills.
Shi stressed that just because a country gives less prioritization to education and workforce preparation doesn't mean AI isn't on its radar. Some Asian countries, for example, put more effort into improving national security and health care rather than education.
Cultivating interest in AI could help students prepare for careers
Some countries took a lifelong approach to developing these specialized skills. Germany, for instance, emphasized creating a culture that encourages interest in AI. Spain started teaching kids AI-related skills as early as preschool.
Of the many actions governments took, Shi noted one area that needs more emphasis when preparing future AI-empowered workplaces. "Human soft skills, such as creativity, collaboration and communication cannot be replaced by AI," Shi said. "And they were only mentioned by a few countries."
Developing these sorts of "soft skills" is key to making sure students and employees continue to have a place in the workforce.
This study was published in Human Resource Development Review.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.sciencedaily.com/releases/2025/06/250622030429.htm
|
[
{
"date": "2025/06/22",
"position": 97,
"query": "artificial intelligence employment"
}
] |
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AI begins to reshape the IT job landscape as layoffs rise - CIO
|
AI begins to reshape the IT job landscape as layoffs rise
|
https://www.cio.com
|
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Other notable layoffs include Salesforce cutting 1,000 jobs to make room for AI roles, Dell cutting 2,500 jobs to shift to AI-powered ...
|
During the COVID-19 pandemic, Amazon was one of many tech companies that rapidly ramped up hiring to meet demand in a new, locked-down business paradigm. Other organizations, seeking to support all-remote workforces, followed suit, as tech hiring — and salaries — reached unprecedented heights.
But the boom didn’t last long, as Amazon along with Google, Meta, Microsoft, and other prominent enterprises collectively laid off more than 100,000 employees in 2022 to re-adjust to a world emerging from the pandemic. Now, just three years later, AI has risen to become another massive disruptor for tech employment, with organizations increasingly announcing workforce cuts to make room for AI talent and investments.
According to PwC’s 2025 Global AI Jobs Barometer, 100% of industries are increasing AI usage, and wages in the most AI-exposed industries are rising twice as fast as the least exposed. As a result, demand is spiking for AI skills — skills that are evolving 66% faster than non-AI skills, which is 2.5 times faster than just last year.
| 2025-06-25T00:00:00 |
https://www.cio.com/article/4012162/ai-begins-to-reshape-the-it-job-landscape-as-layoffs-rise.html
|
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|
AI Isn't To Blame for the Rise in Layoffs — Your Systems Are | Built In
|
AI Isn’t to Blame for the Rise in Layoffs — Your Systems Are
|
https://builtin.com
|
[] |
AI may take the blame for the layoff anxiety infiltrating companies, but the real culprit is ineffective operations.
|
AI is being blamed for layoffs, but the real issue is systemic incompetence in company operations. Poor role clarity and talent management are driving dysfunction. Without addressing these, AI will only automate existing problems — not solve them.
AI is being blamed for layoffs, but the real issue is systemic incompetence in company operations. Poor role clarity and talent management are driving dysfunction. Without addressing these, AI will only automate existing problems — not solve them. more
AI has taken the blame for the business world’s fear and frustration, bearing responsibility for the layoff anxiety flooding the business world and enduring the bitter berating thrown at it in virtually every industry. But let’s be clear: AI didn’t break your organization chart. It didn’t confuse your workflows. It didn’t erode your culture.
Yet, AI has taken the role as the villain, while leaders step back and wash their hands clean. The truth? It’s just the most convenient scapegoat in the room.
The problem, however, is that artificial intelligence isn’t wholly to blame for the conditions that have caused employee confidence to drop to record lows in recent days. While AI may contribute to the layoffs, it is not causing them. Yet, AI’s appearance has opened a beautifully convenient window for leaders, allowing them to let AI fall on the sword and take the blame for layoffs.
A deeper look at today’s business landscape reveals systemic incompetence as the core issue driving layoffs. Systemic incompetence is rampant today, almost becoming a normalized fabric of company culture that employees have just been battered into dealing with
2 Tips to Effectively Integrate AI and Address Systemic Incompetence Clarify accountability and role structure. Prioritize talent management.
To be fair to leaders, some degree of systemic incompetence is to be expected as companies move forward. Evolution, innovation and growth actually require a level of imperfection that translates into operational inefficiencies.
However, many leaders have embraced growth-related inefficiencies as a part of the deal rather than a problem they need to address. And as their lack of action has led to frustration in the workforce, they’ve welcomed AI as the savior that can fix inefficiency while doing away with complainers.
Today’s leaders fail to see that AI is an employee just like the employees it is replacing, only more efficient and less likely to complain. Replacing humans with AI won’t fix dysfunction. It will just automate it, then amplify it. In fact, it might just propel companies more quickly along the tragic trajectory set by their incompetence.
The following are some steps companies should take to address systemic incompetence before integrating AI.
More on AI8 Rules for Effective Software Development in the Age of Agile and AI
Clarify Accountability and Role Structure to Maximize the Impact of AI
Sound business systems are built upon accountability. Every member of the team needs to know what is expected of them. Lack of clarity leads to confusion, leading to wasted time and lost profits.
Accountability is also key to motivation. When employees know what is expected of them and what is not expected of them, they can take ownership, focus, and deliver. When they are left guessing, they ultimately feel abused, which circles back to them feeling battered.
When accountability isn’t a priority, productivity and profitability are impacted. Layoffs are one fix that companies turn to when those symptoms crop up.
One big question for companies integrating AI is, “If you’re already doing a poor job at clarifying accountability and role structures for the humans in your company, how good will you be at doing the same for AI?” The likely answer is, “Not good at all.”
Companies must define who is accountable for ensuring AI has the resources it needs to deliver and for ensuring AI outputs are accurate, reliable and effectively incorporated into the system. If AI is your new top employee, who’s its manager? Who’s making sure it has clear instructions, measurable outputs and doesn’t quietly spiral into chaos like every other under-supported hire? AI can be a high-producing employee, but it still needs a support team and a manager.
The relationship between HR and IT is out of alignment in many companies and can suffer significantly if accountability is not addressed before AI is dropped into the equation. Without clearly defining each team's role in evaluating and supporting AI tools, companies risk creating destructive fractures that can destroy the entire organization.
AI is not only being villainized as the root of layoffs but also romanticized as a problem solver. Companies see it as the “easy button,” so they drop it into operations without clarifying accountability and role structure. Consequently, they get a tool that supercharges their issues along with their output.
More on AIHow AI Has Transformed the Role of Software Developers
Prioritize Talent Management to Maximize the Impact of AI
Ineffective talent management is another systemic incompetence that contributes to layoffs. When companies fail to put in place a solid hiring system, they end up with employees who are unqualified, a poor fit for the culture, or simply superfluous in terms of the company’s operational needs. Layoffs occur in those companies as a snapback reaction to poor hires.
Companies that leverage AI to replace employees don’t do away with the need for talent management. All the steps involved in human talent management, from vetting to training to integration to oversight to promotion, also must be addressed when integrating AI. If those steps aren’t followed, companies can end up with AI systems that don’t integrate well, scale well, or provide long-term usability.
In addition, companies integrating AI must carefully consider its impact on the employees who remain. The practical implications of introducing a new tool must be addressed with ongoing training and evaluation. AI is a tool and a team member, which means its success ultimately depends on employees knowing how to wield it.
Companies integrating AI must also consider the emotional impact it can have on the workforce. A recent Pew study found that more than half of workers fear AI is going to have a negative impact on their careers. Bringing AI into the workplace is like forcing the workers who remain to sit next to their nightmare for eight hours a day. If companies don’t take steps to address those fears, employee engagement is guaranteed to suffer.
In the early days of the AI era, tech prophets proclaimed that layoffs were inevitable for companies that wanted to take advantage of the efficiency artificial intelligence could provide. As AI has matured, however, human-machine collaboration is emerging as the ideal path for maximizing AI ROI. To get in on those returns, companies need to stop making AI the scapegoat and address the systemic incompetencies that are truly leading to layoffs.
AI won’t challenge your bad ideas. It doesn’t have the guts to do so or the soul to care. But perhaps worst of all, it doesn’t have the filter to stop your worst ideas: It will just scale them.
| 2025-06-25T00:00:00 |
https://builtin.com/articles/ai-not-to-blame-for-layoffs
|
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|
AI Killed My Job: Tech workers - Blood in the Machine
|
AI Killed My Job: Tech workers
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https://www.bloodinthemachine.com
|
[
"Brian Merchant"
] |
Tech workers at TikTok, Google, and across the industry share stories about how AI is changing, ruining, or replacing their jobs.
|
“What will AI mean for jobs?” may be the single most-asked question about the technology category that dominates Silicon Valley, pop culture, and our politics. Fears that AI will put us out of work routinely top opinion polls. Bosses are citing AI as the reason they’re slashing human staff. Firms like Duolingo and Klarna have laid off workers in loudly touted shifts to AI, and DOGE used its “AI-first” strategy to justify firing federal workers.
Meanwhile, tech executives are pouring fuel on the flames. Dario Amodei, the CEO of Anthropic, claims that AI products like his will soon eliminate half of entry level white collar jobs, and replace up to 20% of all jobs, period. OpenAI’s Sam Altman says that AI systems can replace entry level workers, and will soon be able to code “like an experienced software engineer.” Elsewhere, he’s been blunter, claiming "Jobs are definitely going to go away, full stop."
But the question remains: What’s actually happening on the ground, right now? There’s no doubt that lots of firms are investing heavily in AI and trying to use it to improve productivity and cut labor costs. And it’s clear that in certain industries, especially creative ones, the rise of cheap AI-generated content is hitting workers hard. Yet broader economic data on AI impacts suggests a more limited disruption. Two and a half years after the rise of ChatGPT, after a torrent of promises, CEO talk, and think pieces, how is—or isn’t—AI really reshaping work?
About a month ago, I put out a call in hopes of finding some answers. I had a vague idea for a project I’d call AI Killed My Job, that would seek to examine the many ways that management has used AI to impact, transform, degrade, or, yes, try to replace workers outright. It’s premised on the notion that we’ve heard lots of speculation and plenty of sales pitches for AI automation—but we have not heard nearly enough from the workers experiencing the phenomenon themselves.
The title is somewhat tongue-in-cheek; we recognize that AI is not sentient, that it’s management, not AI, that fires people, but also that there are many ways that AI can “kill” a job, by sapping the pleasure one derives from work, draining it of skill and expertise, or otherwise subjecting it to degradation.
So, I wrote a post here on the newsletter explaining the idea, posted a call to social media, and asked for testimonials on various news shows and podcasts. I was floored by the response. The stories came rolling in. I heard from lots of folks I expected to—artists, illustrators, copywriters, translators—and many I didn’t—senior engineers, managers of marketing departments, construction industry consultants. And just about everyone in between. I got so many responses, and so many good ones, that I resolved to structure the project as a series of pieces that center the workers’ voices and testimonies themselves, and share their experiences in their own words.
Because I got so many accounts, I decided to break down the articles by field and background. Starting, today, with an industry that’s at once the source of the automating technology and feeling some of its most immediate impacts. Today, we’ll begin by looking at how AI is killing jobs in the tech industry.
I heard from workers who recounted how managers used AI to justify laying them off, to speed up their work, and to make them take over the workload of recently terminated peers. I heard from workers at the biggest tech giants and the smallest startups—from workers at Google, TikTok, Adobe, Dropbox, and CrowdStrike, to those at startups with just a handful of employees. I heard stories of scheming corporate climbers using AI to consolidate power inside the organization. I heard tales of AI being openly scorned in company forums by revolting workers. And yes, I heard lots of sad stories of workers getting let go so management could make room for AI. I received a message from one worker who wrote to say they were concerned for their job—and a follow-up note just weeks later to say that they’d lost it.
Of the scores of responses I received, I’ve selected 15 that represent these trends; some are short and offer a snapshot of various AI impacts or a quick look at the future of employment. Others are longer accounts with many insights into what it means to work in tech in the time of AI—and what it might mean to work, period. The humor, grace, and candor in many of these testimonials often amazed me. I cannot thank those who wrote them enough. Some of these workers took great risks to share their stories at a time when it is, in tech, a legitimate a threat to one’s job to speak up about AI. For this reason, I’ve agreed to keep these testimonies anonymous, to protect the identities of the workers who shared them.
Generative AI is the most hyped, most well-capitalized technology of our generation, and its key promise, that it will automate jobs, desperately needs to be examined. This is the start of that examination.
Three very quick notes before we move on. First, this newsletter, and projects like AI Killed My Job, require a lot of work to produce. If you find this valuable, please consider becoming a paid subscriber. With enough support, I can expand such projects with human editors, researchers, and even artists—like Koren Shadmi, who I was able to pay a small fee for the 100% human-generated art above, thanks to subscribers like you. Second, if your job has been impacted by AI, and you would like to share your story as part of this project, please do so at [email protected]. I would love to hear your account and will keep your account confidential as I would any source. Third, some news: I'm partnering with the good folks at More Perfect Union to produce a video edition of AI Killed My Job. If you're interested in participating, or are willing to sit for an on camera interview to discuss how AI has impacted your livelihood, please reach out. Thanks for reading, human, and an extra thanks to all those whose support makes this work possible. Tech is just the first industry I plan on covering; I have countless more stories in fields from law to media to customer service to art to share. Stay tuned, and onwards.
This post was edited by Mike Pearl.
“AI Generated Trainers”
Content moderator at TikTok.
I have a story. I worked for TikTok as a content moderator from August 2022 to April 2024, and though I was not replaced by AI, I couldn't help noticing that some of the trainers were.
In my first year, I would be assigned training videos that featured real people either reading or acting. These trainings would be viewed internally only, not available to the public. Topics could be things like learning about biases, avoiding workplace harassment, policy refreshers, and so on. In the early months of my time there, the trainings were usually recorded slideshows with humans reading and elaborating on the topics. Sometimes they were videos that included people acting out scenarios. Over time, the human trainers were replaced with AI by way of generated voices or even people going over the materials in the videos.
It was honestly scary to me. I don't know how to explain it. I remember that they had added embellishments to make them seem more human. I distinctly remember a woman with an obscure black tattoo on her bicep. The speech and movement wasn't as clean as what I see in videos now, but it was close enough to leave me with an eerie sensation.
As far as content moderation goes, much of that is already done by AI across all major social media platforms. There has historically been a need for human moderators to differentiate grey areas that technology doesn't understand. (Example: someone being very aggressive in a video and using profanity, but it not being directed at an individual. AI might think the video involves bullying another user and ban the video, but a moderator can review it and see that there's no problem/no targeted individual.)
It was honestly scary to me. I don't know how to explain it. I remember that they had added embellishments to make them seem more human.
I think as AI models continue to learn, however, moderators will be replaced completely. That's just a theory, but I'm already seeing the number of these job postings dwindling and hearing murmurs from former coworkers on LinkedIn about widespread layoffs.
“AI is killing the software engineer discipline”
Software engineer at Google.
I have been a software engineer at Google for several years. With the recent introduction of generative AI-based coding assistance tools, we are already seeing a decline in open source code quality (defined as "code churn" - how often a piece of code is written only to be deleted or fixed within a short time). I am also starting to see a downward trend of (a) new engineers' readiness in doing the work, (b) engineers' willingness to learn new things, and (c) engineers' effort to put in serious thoughts in their work.
Specifically, I have recently observed first hand some of my colleagues at the start of their career heavily relying on AI-based coding assistance tools. Their "code writing" consists of iteratively and alternatingly hitting the Tab key (to accept AI-generated code) and watching for warning underlines indicating there could be an error (which have been typically based on static analysis, but recently increasingly including AI-generated warnings). These young engineers - squandering their opportunities to learn how things actually work - would briefly glance at the AI-generated code and/or explanation messages and continue producing more code when "it looks okay."
I also saw experienced engineers in senior positions when faced with an important data modeling task decided to generate the database schema with generative AI. I originally thought it was merely a joke but recently found out that they basically just used the generated schema in actual (internal) services essentially without modification, even if there are some obvious glaring issues. Now those issues have propagated to other code that needs to interact with that database and it will be more costly to fix, so chances are people will just carry on, pretending everything is working as intended.
All of these will result in poorer software quality. "Anyone can write code" sounds good on paper, but when bad code is massively produced, it hurts everyone including those who did not ask for it and have been trusting the software industry.
“How AI eliminated my job at Dropbox”
Former staff engineer at Dropbox.
I was part of the 20% RIF at Dropbox at the end of October. The stated reason for this was to focus on Dash, their AI big-bet. The 10% RIF in 2023 was also to focus more on Dash.
How did this eliminate my job? Internal reprioritization, that's how. I was moving into an area that was scheduled to focus on improving Dropbox's reliability stance in 2025 and beyond, intended to be a whole year initiative. It's tricky to go into details, but the aim was to take a holistic view of disaster preparedness beyond the long standing disaster scenarios we had been using and were already well prepared for. Projects like this are common in well established product-lines like Dropbox's file-sync offering, as they take a comprehensive overview of both audit compliance (common criteria change every year) and market expectations.
This initiative was canned as part of the RIF, and the staffing allocated to it largely let go. Such a move is consistent with prioritizing Dash, a brand new product that does not have dominant market-share. Startups rarely prioritize availability to the extent Dropbox's file-sync product does because the big business problem faced by a startup is obtaining market-share, not staying available for your customers. As products (and companies) mature, stability starts gaining priority as part of customer retention engineering. Once a product becomes dominant in the sector, stability engineering often is prioritized over feature development. Dropbox file-sync has been at this point for several years.
With Dash being a new product, and company messaging being that Dash is the future of Dropbox, a reliability initiative of the type I was gearing up for was not in line with being a new product scrapping for market-share. Thus, this project and the people assigned to it were let go.
Blood in the Machine: What are you planning next?
This job market is absolutely punishing. I had a .gov job for the .com crash, a publicly funded .edu job for the 2008 crash, and a safe place inside a Dropbox division making money hand over fist during the COVID crash (Dropbox Sign more than doubled document throughput over 2020). This is my first tech winter on the bench, and I'm getting zero traction. 37 job apps in the months I've been looking, 4 got me talking to a human (2 of which were referrals), all bounced me after either the recruiter or technical screens. Never made it to a virtual onsite.
This has to do with me being at the Staff Engineer level, and getting there through non-traditional means. The impact is when I go through the traditional screens for a high level engineer I flame out, because that wasn't my job. The little feedback I've gotten from my hunt is a mix of 'over-qualified for this position' and 'failed the technical screen.' Attempting to branch out to other positions like Product Manager, or Technical Writer have failed due to lack of resume support and everyone hiring Senior titles.
I may be retired now. I'm 50, but my money guy says I've already made retirement-money; any work I do now is to increase lifestyle, build contingency funds, or fund charitable initiatives. The industry is absolutely toxic right now as cost-cutting is dominating everything but the most recently funded startups. We haven't hit an actual recession in stock-prices due to aggressive cost and stock-price engineering everywhere, and cost-engineering typically tanks internal worker satisfaction. I've been on the bench for six months, money isn't a problem. Do I want to stick my head back into the cortisol amplifier?
Not really.
“It's no longer only an issue of higher-ups: colleagues are using chatgpt to undermine each other.”
Tech worker, marketing department.
I used to work at a mid-sized Silicon Valley startup that does hardware. The overall project is super demanding, and reliant on skilled, hands-on work. Our marketing team was tiny but committed. My manager, the CMO, was one of the rare ones: deeply experienced and seasoned in the big ones, thoughtful, and someone who genuinely loved his craft.
Last year, a new hire came in to lead another department. Genuinely believe she is a product of the "LinkedIn hustler / thought-leadership / bullshit titles" culture. Super performative.
Recently and during a cross-functional meeting with a lot of people present, she casually referred to a ChatGPT model she was fine-tuning as our "Chief Marketing Officer"—in front of my manager. She claimed it was outperforming us. It wasn’t—it was producing garbage. But the real harm was watching someone who’d given decades to his field get humiliated, not by a machine, but by a colleague weaponizing it.
Today, in the name of “AI efficiency,” a lot of people saw the exit door and my CMO got PIPd.
The irony here is two-fold: one, it does not seem that the people who left were victims of a turn to "vibe coding" and I suspect that the "AI efficiency" was used as an excuse to make us seem innovative even during this crisis. Two, this is a company whose product desperately needs real human care.
[If your job has been impacted by AI, and you would like to share your story as part of this project, please do so at [email protected].]
“AI killed two of my jobs”
Veteran tech worker at Adobe and in the public sector.
AI killed my previous job, and it's killing my current one.
I used to work at Adobe... Despite constantly telling my team and manager I strongly disliked GenAI and didn't want to be involved in GenAI projects, when AI hype really started picking up, my team was disbanded and I was separated from my teammates to be put on a team specifically working on GenAI. I quit, because I didn't see any way for me to organize, obstruct, or resist without being part of building something that went against my values. I often wonder whether I should have let myself get fired instead. This was before we learned that Adobe trained Firefly on Stock contributions without contributors' opt-in, and before the Terms of Service debacle, so I'm glad I wasn't there for that at least.
Now I work in the public sector. It's better in most ways, but I have to spend ridiculous amounts of time explaining to colleagues and bosses why no, we can't just "use AI" to complete the task at hand. It feels like every week there's a new sales pitch from a company claiming that their AI tool will solve all our problems—companies are desperate to claw back their AI investment, and they're hoping to find easy marks in the public sector.
I don't want to be a curmudgeon! I like tech and I just want to do tech stuff without constantly having to call bullshit on AI nonsense. I'd rather be doing my actual job, and organizing with my colleagues. It's exhausting to deal with credulous magical thinking from decision-makers who should know better.
*My work at Adobe*
When I was at Adobe, I worked in Document Cloud. So like Acrobat, not Photoshop. For most of my time there, my job was evaluating machine learning models to see if they were good enough to put in a product. The vast majority of the time, Document Cloud leadership killed machine learning projects before they ended up in a product. That was either because the quality wasn't good enough, or because of a lack of "go-to-market.” In other words, middle and upper management generally did not accept that machine learning is only appropriate for solving a small subset of problems, which need to be rigorously-scoped and well-defined. They were looking for "everything machines" (these are derogatory air quotes, not a direct quote) that would be useful for huge numbers of users.
By the time AI hype really started to pick up, I had moved to a team working on internal tools. I wasn't building or evaluating machine learning models and I was outspoken about not wanting to do that. When LLM hype got really big, senior leadership started describing it as an "existential threat" (that is a direct quote as far as I remember), and re-organizing teams to get LLMs into Document Cloud as soon as possible. Adobe did not do *anything* quickly, so this was a huge change. A big red flag for me was that rather than building our own LLMs, Adobe used OpenAI's chatbots. When I asked about all of OpenAI's ethical and environmental issues, management made generic gestures towards being concerned but never actually said or did anything substantive about it. At that point I quit, because I had specifically been saying I didn't want to be involved in GenAI, and given the rushed and sloppy nature of the rollout, I didn't want my name anywhere near it.
*Colleagues' reactions*
Definitely I knew some colleagues who didn't like what Adobe was doing. There were a lot of people who privately agreed with me but publicly went along with the plan. Generally because they were worried about job security, but also there's a belief at Adobe that the company's approach to AI isn't perfect but it's more ethical than the competition. Despite being a huge company, teams were mostly isolated from each other, and as far as I know there wasn't a Slack channel for talking about AI concerns or anything like that. When I asked critical questions during department meetings or expressed frustration with leadership for ignoring concerns, people told me to go through the chain of command and not to be too confrontational.
Looking back, I wish my goal hadn't been to persuade managers but instead to organize fellow workers. I was probably too timid in my attempts to organize. I do regret that I didn't try having more explicit 1-on-1's about this, even though it would have been risky. Obviously I was very lucky/privileged to have enough savings to even consider quitting or letting myself get fired in this shitty job market, and I often wonder if I could have done more to combine strategies and resources with other colleagues so that fighting back would be less risky for everyone.
*Impact of AI on work*
When the GenAI push started, a lot more of my colleagues started working nights and weekends, which was rare (and even discouraged) before then. Managers paid lip service to Adobe's continuing commitment to work-life balance, but in practice that didn't match up with the sense of urgency and the unrealistic deadlines. I'm not aware of anyone who got fired or laid off specifically because of getting replaced by AI, and it looks like teams are still hiring. Although for what it's worth, in general Adobe does not do layoffs these days, but instead they pressure people into quitting by taking work away from them, putting them on PIPs, that kind of thing.
I found out that a colleague who had been struggling with a simple programming task for over a month—and refusing frequent offers for help—was struggling because they were trying to prompt an LLM for the solution and trying to understand the LLM's irrelevant and poorly-organized output. They could have finished the work in a day or two if they had just asked for help clarifying what they needed to do. I and their other teammates would gladly have provided non-judgmental support if they had asked.
Our team found out that a software vendor (I can't say which one but it was one of the big companies pushing Agentic AI) was using AI to route our service request tickets. As a result, our tickets were being misclassified, which meant that they were failing to resolve high-priority service disruptions that we had reported. We wasted days on this, if not weeks.
*My current job*
At my current job, I'm basically a combination of programmer and database administrator. I like the work way more than what I did at Adobe. Much like the corporate world, there are a lot of middle and upper managers who want to "extract actionable insights" from data, but lack the information literacy and technical knowledge to understand what they can (or should) ask for. And the people below them are often unwilling to push back on unreasonable expectations. It's very frustrating to explain to executives that the marketing pitches they hear about AI are not reflective of reality. It makes us seem like we're afraid of change, or trying to prevent "progress" and "efficiency."
So I would say the private and public sector have this in common: the higher up you go in the organization, the more enthusiastic people are about "AI,” and the less they understand about the software, and (not coincidentally) the less they understand what their department actually does. And to the extent that workers are opposed to "AI,” they're afraid of organizing, because it feels like executives are looking for reasons to cut staff.
“No crypto, no AI”
Tech worker.
So this is sort of an anecdote in the opposite direction of AI taking jobs—in a recent interview process at a mature startup in the travel tech space, part of the offer negotiations were essentially me stating “yeah I don’t want to work here if you expect me to use or produce LLM-based features or products” (this is relevant as the role is staff data scientist, so ostensibly on supply side of AI tooling), and them responding with “yeah if you want to do LLM work this isn’t the place for you.”
Though my network isn’t extensive, I feel like this is a growing sentiment in the small- and medium-tech space - my primary social media is on a tech-centric instance of the fediverse (hachyderm.io) and more often than not when I see the #GetFediHired hashtag, it’s accompanied by something akin to “no crypto, no AI” (also no Microsoft Teams, but I digress).
“Gradual addition of AI to the workplace”
Computer programmer.
Our department has now brought in copilot, and we are being encouraged to use it for writing and reviewing code. Obviously we are told that we need to review the AI outputs, but it is starting to kill my enjoyment for my work; I love the creative problem solving aspect to programming, and now the majority of that work is trying to be passed onto AI, with me as the reviewer of the AI's work. This isn't why I joined this career, and it may be why I leave it if it continues to get worse.
“my experience with AI at work and how I just want to make it do what I don't want to do myself”
Software engineer at a large tech firm.
All my life, I’ve wanted to be an artist. Any kind of artist. I still daydream of a future where I spend my time frolicking in my own creativity while my own work brings me uninterrupted prosperity.
Yet this has not come to pass, and despite graduate level art degrees, the only income I can find is the result of a second-class coding job for a wildly capitalist company. It’s forty hours a week of the dullest work imaginable, but it means I have time to indulge in wishful thinking and occasionally, a new guitar.
Real use cases where AI can be used to do work that regular old programming could not are so rare that when I discovered one two weeks ago, I asked for a raise in the same breath as the pitch.
I am experiencing exactly what you describe. There’s been layoffs recently, and my company is investing heavily in AI, even though they’re not sure yet how best to make it do anything that our corporate overlords imagine it should do.
From the c-level, they push around ideas about how we could code AI to do work, but in reality, those on the ground are only using AI to help write code that does the work, as the code always has. Real use cases where AI can be used to do work that regular old programming could not are so rare that when I discovered one two weeks ago, I asked for a raise in the same breath as the pitch.
And here I am, five hundred words into this little essay, and I’ve barely touched on AI! Nor have I even touched any of the AI tools that are so proudly thrust into my face to produce this. I’ve played around with AI tools for creative writing, and while they’re good at fixing my most embarrassing grammar errors, none of them have helped me in my effort to bridge the gap between my humble talent as a creative and my aspirations for my effort.
There’s a meme going on Pinterest that I believe sums up this moment: “We wanted robots to clean the dishes and do our laundry, so we could draw pictures and write stories. Instead they gave us robots to draw pictures and write stories, so we could clean dishes and do laundry.” This feels very true in the sense that human talent is getting valued not for the time it took to gain it and the ingenuity it proves, but for how well it feeds the greed of those who can afford to invest in bulk. But art in capitalism has always been this way, hasn’t it? If we don’t have a patron, we might as well eat our paint, and AI only tightens that grip that the privileged have held us in for centuries.
I’ve never been so fortunate to consider the work that funds my DoorDash addiction to be my passion’s output, and perhaps that’s why I’m not afraid of what I’ll lose. But it’s that same work that has me sharing notes with fellow programmers, and many of them will say with blunt honesty that they’re worried they’ll be replaced by AI. This is a vulnerability I rarely see from the group of people who often elevated their work as valuable and practical, as opposed to my efforts to learn how to make music and poetry, which were wasteful and useless. But I am like a plant that learned how to grow on rocks and eat insects. In a meeting soon, I’m going to level with them:
Don’t you understand? This work, what we do day in and day out for a soulless organization that drives profit from stealing our essence, this is the laundry! And if they think I’ll just throw that work into a machine and let it do all the work for me, they’re right. But it’s a machine that automates the work of running machines that automates the work that people used to do by hand, while constantly stealing glances at the clock, just waiting for the moment when they could be out from under the gaze of some righteous egomaniac.
Maybe this is just the perspective of someone who’s seen her work, of almost any type, get devalued with such regularity that it’s hard to imagine the robots making it any more difficult than it already is. No one’s ever really cared about my Instagram posts. No one pretends that my code will change the world. Perhaps, someday, I’ll make more money while babysitting on the weekends. I spend a lot of time thinking about things that haven’t worked out for me, and for us, as a society, and I think some of our worst failures come from moments when we can’t differentiate between the ability to use machines and our abilities as machines.
Last week I made a pie for my family, and I obviously didn’t get paid for it. Somewhere off in the offices of the illuminati, an account will calculate the value of the oven that baked the crust, the refrigerator that cooled the filling, the bougie pie dish that made my effort look food-blog ready. But there’s no monetary value in the work I did that literally put food on the table, and I rarely, if ever, get paid to perform the music I love, or receive more than pocket change for the short stories I publish. I keep thinking that the solution for both problems exist in some future innovation, but I can’t imagine what that invention would be, and I can’t find proof of a real connection between the two.
Maybe ChatGPT knows the answer to this riddle? I can throw a penny into our new philosophy vending machine, but I might come up with a better answer myself if I think about it while I unload the dishwasher.
PS I didn’t use ai to write this, also didn’t even bother to push it through an ai extruder to check the grammar. I guess I’m just feeling too lazy today to push that button! Have a nice weekend.
[If your job has been impacted by AI, and you would like to share your story as part of this project, please do so at [email protected].]
“AI-native high school interns”
Fintech worker.
Hello! I am a tech worker at a fintech. My workplace has been pushing AI really hard this year.
Here's the latest thing they thought up:
It 100% feels like testing the waters for just how unqualified and underpaid your workforce can be. Just as long as they can work the shovel of LLM they're good right?
The children yearn for the (LLM) mines!
“CrowdStrike”
Current CrowdStrike employee.
I work for CrowdStrike, the leading cybersecurity company in the United States. As a current employee, I can't reveal specific details about myself.
As you may have heard, CrowdStrike laid off 500 employees on May 7th, 2025. These were not underperformers. Many of them were relatively new hires. This action was presented as a strategic realignment with a special focus in "doubling down on our highest-impact opportunities," to quote CEO George Kurtz.
In the internal email, he states further:
AI investments accelerate execution and efficiency: AI has always been foundational to how we operate. AI flattens our hiring curve, and helps us innovate from idea to product faster. It streamlines go-to-market, improves customer outcomes, and drives efficiencies across both the front and back office. AI is a force multiplier throughout the business.
So, AI has literally killed many jobs at CrowdStrike this week. I'm fortunate to be among the survivors, but I don't know for how long.
Generative AI, particularly LLMs, is permeating every aspect of the company. It's in our internal chats. It's integrated into our note-taking tools. It's being used in triage, analysis, engineering, and customer communications. Every week, I'm pinged in an announcement that some new AI capability has been rolled out to me and that I am expected to make use of it. Customers who are paying for live human service packages from us are increasingly getting the output of an LLM instead. Quality Assurance reviewers have started criticizing reviewees for failing to run things through AI tools for things as trivial as spelling and grammar. Check out the front page and count the number of times "AI" is mentioned. It didn't used to be like this.
CrowdStrike is currently achieving record financials. At the time I write this, CRWD is trading at $428.63 in striking range of the stock's 52-week high. The efforts of my colleagues and I to rebuild from the incident of July 19, 2024 have been rewarded with shareholder approval and 500 layoffs. Some of the impacted individuals were recent graduates of 4-year schooling who, in addition to student loans, have moving expenses because they physically relocated to Texas shortly before this RIF occurred.
Many lower-level employees at CrowdStrike are big fans of generative AI; as techy people in a techy job, they fit the bill for that. Even so, many of them have become wary… of what increased AI adoption means for them and their colleagues. Some of the enthusiastic among them are beginning to realize that they're training the means of additional layoffs—perhaps their own.
CrowdStrikers have been encouraged to handle the additional per capita workload by simply working harder and sometimes working longer for no additional compensation on either count. While our Machine Learning systems continue to perform with excellence, I have yet to be convinced that our usage of genAI has been productive in the context of the proofreading, troubleshooting, and general babysitting it requires. Some of the genAI tools we have available to us are just completely useless. Several of the LLMs have produced inaccuracies which have been uncritically communicated to our customers by CrowdStrikers who failed to exhibit due diligence. Those errors were caught by said customers, and they were embarrassing to us all.
I would stop short of saying that the existence of genAI tools within the company is directly increasing the per capita workload, but an argument could be made of it indirectly accomplishing that. The net result is not a lightening of the load as has been so often promised.
Morale is at an all-time low. Many survivors have already started investigating their options to leave either on their own terms or whenever the executives inevitably decide an LLM is adequate enough to approximately replace us.
The company is very proud of its recognitions as an employer. As CrowdStrikers, we used to be proud of it too. Now we just feel betrayed.
“Coding assistants push”
Software engineer, health tech startup.
I work as a software engineer and we've been getting a push to adopt AI coding assistants in the last few months. I tried it, mostly to be able to critique, and found it super annoying, so I just stopped using it. But I'm starting to get worried. Our CEO just posted this in an internal AI dedicated Slack channel. The second message is particularly concerning.
[It’s a screenshot of a message containing a comment from another developer. It reads:]
"I am sufficiently AI-pilled to think that if you aren't using agentic coding tools, then you are the problem. They are good enough now that it's a skills issue. Almost everyone not using them will be unemployed in 2 years and won't know why (since they're the ones on Hacker News saying "these tools never work for me!" and it turns out they are using very bad prompts and are super defensive about it)."
We've had some layoffs long before this AI wave and the company has not picked up the pace in terms of hiring since. I'm sure now they're thinking twice before hiring anyone though. The biggest change was in how the management is enthusiastically incentivizing us to start using AI. First they offered coding assistants for everyone to use, then the hackdays we had every semester turned into a week long hackathon specifically focused on AI projects.
Now we have an engineer, if you can call him that, working on a project that will introduce more than 30k lines of AI generated code into our codebase, without a single unit test. It will be impossible to do a proper code review on this much code and it will become a maintenance nightmare and possibly a security hazard. I don't need to tell you how much management is cheering on that.
“My job hasn't been killed, yet”
Front end software engineer at a major software company.
My job hasn't been killed yet, but there's definitely a possibility that it could be soon. I work for a major software company as a front end software engineer. I believe that there's been AI-related development for about a year and a half. It's a little hard to nail down exactly because I'm one of the few remaining US-based developers and the majority of our engineering department is in India. The teams are pretty siloed and the day-to-day of who's on what teams and what they're doing is pretty opaque. There's been a pretty steady increase of desire and pressure to start using AI tools for a while now. As a result, timelines have been getting increasingly shorter, likewise the patience of upper management. They've tried to create tools that would help with some of the day-to-day repeatable UI pieces that I work on, but the results were unusable from my end and I found that I can create them on my own in the same amount of time.
The agents themselves had names and AI-generated profile pictures of minorities that aren't actually represented in the upper levels of the company, which I find kind of gross.
Around October/November of last year, the CEO and President (who's the former head of Product) had decided to go all-in on AI development and integrate it in all aspects of our business. Not just engineering, but all departments (Sales, Customer Operations, People Operations, etc). Don't get a ton of insight from other departments other than I've heard that Customer Ops is hemorrhaging people and the People Ops sent an email touting that we could now use AI to write recognition messages to each other celebrating workplace successes (insulting and somewhat dystopian). On the engineering side, I think initially there was a push to be an AI leader in supply chain, so there were a lot of training courses, hackathons and (for India) AI-focused off-sites where they wanted to get broad adoption of AI tools and ideas for products that we can use AI in.
Then in February, the CEO declared that what we have been doing is no longer a growth business and we were introducing an AI control tower and agents, effectively making us an AI first company. The agents themselves had names and AI-generated profile pictures of minorities that aren't actually represented in the upper levels of the company, which I find kind of gross. Since then, the CEO has been pretty insistent about AI in every communication and therefore there's an increased downward pressure to use it everywhere. He has never been as involved in the day-to-day workings of the company as he has been about AI. Most consequential is somewhere he has gotten the idea that because code can now be generated in a matter of minutes, whole SAS applications, like the ones we've been developing for years, can be built in a matter of days. He's read all these hype articles declaring 60-75% increase in engineering productivity. I guess there was a competitor in one of our verticals that has just come on the scene and done basically what our app can do, but with more functionality. A number things could explain this, but the conclusion has been that they used AI and made our app in a month. So ever since then, it's been a relentless stream of pressure to fully use AI everywhere to "improve efficiency" and get things out as fast as possible. They've started mandating tracking AI usage in our JIRA stories, the CEO has led Engineering all-hands (he has no engineering background), and now he is mandating that we go from idea to release in a single sprint (2 weeks) or be able to explain why we're not able to meet that goal.
I've been working under increasingly more compressed deadlines for about a year and am pretty burned out right now, and we haven't even started pushing the AI warp speed churn that they've proposed recently. It's been pretty well documented how inaccurate and insecure these LLMs are and, for me, it seems like we're on a pretty self-destructive path here. We ostensibly do have a company AI code of conduct, but I don't know how this proposed shift in engineering priority doesn't break every guideline. I'm not the greatest developer in the world, but I try to write solid code that works, so I've been very resistant to using LLMs in code. I want my work to be reliable and understandable in case it does need to be fixed. I don't have time to mess around and go down rabbit holes that the code chatbots would inevitably send me down. So I foresee the major bugs and outages just sky-rocketing under this new status quo. How they pitch it to us is that we can generate the code fast and have plenty of time to think about architecture, keep a good work/life balance, etc.
But in practice, we will be under the gun of an endless stream of 2 week deadlines and management that won't be happy at how long everything takes or the quality of the output. The people making these decisions love the speed of code generation but never consider the accuracy and how big the problem is of even small errors perpetuated at scale. No one else is speaking up to these dangers, but I feel like if I do (well, more loudly than just to immediate low-level managers), I'll be let go. It's pretty disheartening and I would love to leave, but of course it's hard to find another job competing with all the other talented folks that have been let go through all this. Working in software development for so long and seeing so many colleagues accept that we are just prompt generators banging out substandard products has been rough. I'm imagining this must be kind of what it feels like to be in a zombie movie. I'm not sure how this all turns out, but it doesn't look great at the moment.
The one funny anecdote during all this AI insanity is they had someone from GitHub demo do a live presentation on Co-Pilot and the agents. Not only was everything he demoed either unreliable or underwhelming, but he could not stop yawning loudly during his own presentation. Even the AI champions are tired.
Less than a month later, the engineer emailed me a followup.
And I just got laid off yesterday. The reason cited was they need full stack developers and want engineers that are in India, and not for performance. My front-end-focused position was rendered obsolete. Very plausible since they definitely prefer hiring young and less expensive developers abroad. So AI is not technically the direct cause, but definitely a factor in the background. They'll hire a bunch of new graduates to churn out whatever AI solutions that they think they can hype. Annoyingly, they did announce two new AI agents yesterday, again with faces and names of women. The positive is that they did give me a decent severance, so in the short term I'm fine, financially but also that I don't have to deal with the pressure of ridiculous deadlines.
“AI experience”
Edtech worker.
I work for a small edtech startup and do all of our marketing, communications, and social media. I've always enjoyed doing our ed policy newsletter and other writing related projects. My boss absolutely loves AI, but until recently I'd been able to avoid it. A few weeks ago, my boss let me know that all of my content writing would now be done on ChatGPT so I would have more time to work on other projects. He also wants me to use AI to generate images of students, which I've luckily been able to push back on.
Although he says it's a time saver, I don't actually have other projects, so not only am I creating complete slop, but I'm also left with large amounts of time to do nothing. Being forced to use AI has turned a job I liked into something I dread. As someone with a journalism background, it feels insulting to use AI instead of creating quality blog posts about education policy. Unfortunately, as a recent grad, I haven't had much luck finding another job despite applying to hundreds, so for now I have to make do with the situation, but I will say that having to use AI is making me reconsider where I'm working.
“AI makes everything worse”
Senior developer at a cloud company.
I work for a cloud service provider (who will retaliate if you don't post this anonymously, unfortunately), and they're absolutely desperate for the current AI fad to be useful for something.
They're completely ignoring the environmental costs (insane power requirements, draining lakes of freshwater for cooling, burning untold CPU and GPU hours that could be dedicated to something useful instead) because there's a buck to be made. They hope. But they're still greenwashing the company of course.
For cloud companies, AI is a gold rush; until the bubble bursts, they can sell ridiculous amounts of expensive server time (lots and lots of CPU/GPU/memory/storage) and tons of traffic to and from the models. They're selling shovels to the gold miners, and are in a great position to charge rent if someone strikes a vein of usefulness.
I can see a scenario coming fast that's going to set back software development by years
But they're desperate for this to keep going. They're demanding we use AI for literally everything in our jobs. Our managers want to know what we're using AI for and what AI "innovations" we've come up with. If we're not using AI for everything, they want to know why not. I don't think we're quite at the point of this being part of our performance evaluations, but the company is famously opaque about that, so who knows. It's certainly something the employees worry about.
My work involves standards compliance. Using AI for any part of it will literally double our work load because we'll have to get it to do the thing, and then carefully review and edit the output for accuracy. You can't do compliance work with vibes. What's the point of burning resources to summarize things when you need to review the original and then the output for accuracy anyway?
I can see a scenario coming fast that's going to set back software development by years (decades? who knows!):
C-suite: we don't need these expensive senior developers, interns can code with AI
C-suite: we don't need these expensive security developers, AI can find the problems
senior developers are laid off, or quit due to terrible working conditions (we're already seeing this)
they're replaced with junior developers, fresh out of school... cheap, with no sense of work-life balance, and no families to distract them
all the vibe coding goes straight to production because, obviously, we trust the AI and don't know any better; also we've been told to use AI for everything
at some point, all the bugs and security vulnerabilities make everything so bad it actually starts impacting the bottom line
uh oh, the vibe coders never progressed beyond junior skill levels, so nobody can do the code reviews, nobody can find and fix the security problems
if all the fired senior developers haven't retired or found other jobs (a lot of these people want to get out of tech, because big tech has made everything terrible), they'll need to be hired back, hopefully at massive premiums due to demand
If these tools were generally useful, they wouldn't need to force them on us, we'd be picking them up and running with them.
At first, the exec’s AI speech was greeted by the typical heart-eyes and confetti emojis, but then I saw there were a few thumbs-down emojis thrown into the mix. This was shocking enough on its own, but then the thumbs-downs multiplied, tens and hundreds of them appearing on the screen, making those few little confettis seem weak and pathetic. I was already floored at this point, and then someone posted the first tomato…
“then came the tomatoes”
Tech worker at a well-known tech company.
I work at a fairly well-known tech company currently trying to transform itself from a respected, healthy brand to a win-at-all-costs hyperscaler. The result has mostly been a lot of bullshit marketing promises pegged to vaporware, abrupt shifts in strategy that are never explained, and most of all, the rapid degrading of a once healthy, candid corporate culture into one that is intolerant of dissent, enforces constant positivity, and just this week, ominously announced that we are “shifting to a high-performance culture.”
The company leadership also recently (belatedly) declared that “we are going all in on AI.”
I don’t use AI. I morally object to it, for reasons I hardly need to explain to you. And now I feel like I’m hiding plain sight, terrified someone will notice I’m actually doing all my own work.
We’re hiring for new roles and have been explicitly told that no candidate will be considered for *any* job unless they’re on board with AI. Every department has to show how they’re “incorporating AI into their workflows.” I heard through the grapevine that anyone so much as expressing skepticism “does not have a future with the company.”
It is pretty bleak. I’d leave, but I keep hearing it’s the same everywhere.
But then something insane happened.
At the most recent company all-hands, typically the site of the post painful sycophancy, one of our executives gave a speech formally announcing our big AI gambit. The meeting is so big that there is no Zoom chat, so people can only directly react via emojis. At first, the exec’s AI speech was greeted by the typical heart-eyes and confetti emojis, but then I saw there were a few thumbs-down emojis thrown into the mix. This was shocking enough on its own, but then the thumbs-downs multiplied, tens and hundreds of them appearing on the screen, making those few little confettis seem weak and pathetic. I was already floored at this point, and then someone posted the first tomato. It caught on like wildfire until there were wave after wave of virtual tomatoes being thrown at the executive’s head—a mass outcry against being forced to embrace AI at gunpoint. He tried to keep going but his eyes kept darting to the corner of his screen where the emojis appeared, in increasing panic.
It was goddamn inspiring. And while the executives didn’t immediately abandon all their AI plans, they are definitely shaken by what happened, and nervous about mass dissent. As they should be.
Thanks again to every tech worker who shared their story to me, whether it was included here or not—and to every worker who has written in to [email protected], period. I intend to produce the next installment in coming weeks, so subscribe if below if that’s of interest. And if you’d like to support this work, and receive the paywalled Critical AI reports and special commentary, please consider becoming a paid subscriber. My wonderful paid subscribers are the only reason I am able to do any of this. A million thanks.
Finally, one more time with feeling: If your job has been impacted by AI, and you would like to share your story as part of this project, please do so at [email protected]. If you’re willing to participate in an on-camera interview, contact us at [email protected]. Thanks everyone—until next time.
| 2025-06-25T00:00:00 |
https://www.bloodinthemachine.com/p/how-ai-is-killing-jobs-in-the-tech-f39
|
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{
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{
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{
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{
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{
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{
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{
"date": "2025/06/25",
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{
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{
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{
"date": "2025/06/25",
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},
{
"date": "2025/06/25",
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"query": "artificial intelligence employment"
},
{
"date": "2025/06/25",
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},
{
"date": "2025/06/25",
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}
] |
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|
Applying to Jobs Has Become an AI-Powered Wasteland - Futurism
|
Applying to Jobs Has Become an AI-Powered Wasteland
|
https://futurism.com
|
[] |
Applying to Jobs Has Become an AI-Powered Wasteland. "It's an ... If you're one of millions of job seekers struggling to find stable employment, ...
|
If you’re one of millions of job seekers struggling to find stable employment, just know it’s probably not you.
With the onslaught of so-called "generative AI" — Silicon Valley’s term for complex prediction algorithms that can be used to create new content based on vast amounts of material that they gathered without the permission of its creators — the job search has become a veritable gauntlet of fake job listings, automated application bots, and computer-generated interviews.
Though it’s only been a little over two years since consumers got their hands on ChatGPT — the first widely available generative AI model — the tech has already caused devastating harm to the digital job market.
Per the New York Times, the number of applications sent via LinkedIn has surged over 45 percent since 2024; the rate now stands at a dizzying 11,000 apps per minute on the site. One HR worker was gobsmacked when her fully-remote job posting received 400 applications in just 12 hours, surging to over 1,200 apps 36 hours later.
Access to AI makes it incredibly easy for legit applicants and scammers alike to spam employers with résumés, often uniquely tailored to the job's details. That makes standing out as a purely human applicant — which was already difficult before AI — a Sisyphean task.
"It’s an 'applicant tsunami' that’s just going to get bigger," one recruiter told the NYT, often devolving into an "AI versus AI type of situation."
But the problem didn’t start with job seekers. The trouble can be traced back to the mass adoption of AI HR bots, with 99 percent of Fortune 500 companies admitting to the use of AI to filter applicants, and 40 percent anticipating using AI to conduct interviews.
And as job seekers turn to AI to level the playing field, companies — which hold almost all of the power in the labor market — are cranking the lever to dump more AI on the problem. Employers are now unleashing AI to verify applicant identities, administer computer-generated skilled assessments, and auto-generate messages to applicants — all deployed with essentially zero recourse for anyone wrongfully rejected or subject to bias by the faceless bot.
Case in point, LinkedIn is unleashed a so-called "AI agent" to help HR managers keep up with the flood of AI-assisted job applications — essentially fighting fire with gasoline.
It’s a labor arms race to the bottom, and until regulations like the EU’s Regulation on Artificial Intelligence become universal, applicants lacking the funding, resources, and techno-savvy of organized companies are bound to lose.
More on labor: AI Is Replacing Women's Jobs Specifically
| 2025-06-25T00:00:00 |
https://futurism.com/job-applications-ai-slop
|
[
{
"date": "2025/06/25",
"position": 52,
"query": "AI employment"
},
{
"date": "2025/06/25",
"position": 65,
"query": "ChatGPT employment impact"
},
{
"date": "2025/06/25",
"position": 42,
"query": "artificial intelligence employment"
}
] |
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|
Closing the AI Skills Gap Through Upskilling and Reskilling
|
Closing the AI Skills Gap Through Upskilling and Reskilling
|
https://www.globalknowledge.com
|
[] |
The AI skills gap stems from the disconnect between the rapid advancement of technology and the workforce's ability to keep pace. According to ...
|
The rapid growth of artificial intelligence has revolutionized industries, creating new opportunities while also exposing a critical challenge: the widening skills gap. In the third installation of our LinkedIn poll series, we asked our followers how important they think upskilling and reskilling are for closing the AI skills gap.
The results painted a nearly unanimous picture, with 68% of respondents deeming it “Extremely Important” and 15% ranking it as “Very Important.” Though some selected “Somewhat Important” (9%) or “Not Important” (9%), the takeaway is clear: upskilling and reskilling are pivotal to ensuring that individuals and organizations remain competitive in an AI-driven future.
Why the AI Skills Gap Matters
The AI skills gap stems from the disconnect between the rapid advancement of technology and the workforce’s ability to keep pace. According to Skillsoft’s 2024 IT Skills and Salary Report, two-thirds of IT decision-makers report skills gaps on their teams, with nearly as many forecasting them in the next few years.
While AI technologies like machine learning and natural language processing proliferate, many professionals lack the specialized expertise required to work with or alongside these systems. The cost of skills gaps burdens teams, increasing their stress and hampering their ability to meet business objectives.
Our poll results highlight widespread acknowledgement of this issue. With the majority of participants indicating upskilling and reskilling as extremely important, it’s clear that these strategies are viewed as a critical response.
How Upskilling and Reskilling Can Bridge the Gap
The poll’s findings demonstrate several key points, including resounding support for skills development and a recognition of urgency. With individuals and industry leaders alike recognizing skills development as fundamental to successfully navigating the AI-driven future, organizations must ensure that they are able to progress in the face of change, rather than falling behind.
WATCH OUR WEBINAR ON MASTERING AI TRANSFORMATION
To address the skills gap effectively, organizations need a multi-pronged approach that both empowers their workforce and adapts to rapid technology shifts. Here are our strategies for closing the gap:
AI Learning Solutions: As an industry-recognized training provider, Skillsoft Global Knowledge helps our learners develop their AI expertise with premier learning solutions to position them as leaders equipped to drive AI adoption and shape the future of innovation. Our broad curriculum spans essential AI-related domains like machine learning, data analysis, and cloud computing, as well as complementary areas such as design thinking, ethical AI, and technology leadership. View all AI courses. Promoting a Culture of Lifelong Learning: Skillsoft Global Knowledge champions continuous learning by providing scalable and flexible options for organizations. With annual training plans, industry-recognized certifications, and partnerships with leading technology providers like Cisco, AWS, and Microsoft. These resources allow employees to upskill regularly, staying current as technology evolves. Find your certification path. Facilitating Cross-Sector Collaboration: By partnering with industry leaders, Skillsoft Global Knowledge creates learning ecosystems that benefit all stakeholders. Our collaborations enable us to design training programs aligned with real-world needs, ensuring organizations have access to ready-to-use solutions that address their unique requirements, regardless of industry. Find the perfect course for you. Supporting Diverse Learners with Flexible Options: Skillsoft Global Knowledge offers accessible and inclusive learning formats, such as virtual instructor-led training, on-demand content, and certification prep. This flexibility supports professionals with varying learning preferences and backgrounds. Programs like our bootcamps also provide immersive experiences to fast-track skill development in high-demand areas. Explore our course delivery formats.
The poll results underscore the overwhelming importance on investing in AI skills. With a total of 83% recognizing the critical need for upskilling and reskilling, the message is clear—this is not just a trend, but a necessity for ensuring long-term success in an AI-driven professional landscape.
By taking action now and leveraging top-level training solutions, organizations can build a workforce that isn’t just prepared for the challenges of today, but is also ready to thrive in the opportunities of tomorrow.
At Skillsoft Global Knowledge, we help professionals stay ahead by offering up-to-date courses designed to prepare them for both current and emerging roles in AI-integrated industries.
UNLOCK THE POWER OF AI
| 2025-06-25T00:00:00 |
https://www.globalknowledge.com/us-en/resources/resource-library/articles/closing-the-ai-skills-gap-through-upskilling-and-reskilling/
|
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] |
|
Why Robots Will Displace Managers — and Create Other Jobs
|
Why Robots Will Displace Managers — and Create Other Jobs
|
https://sloanreview.mit.edu
|
[
"Massachusetts Institute Of Technology",
"About The Authors",
"Bryan Hong",
"Lynn Wu"
] |
While robot-adopting companies may shed some management and middle-skilled jobs, research shows that robots will increase employee head counts ...
|
Carolyn Geason-Beissel/MIT SMR | Getty Images
Summary: Companies’ increased use of robots is changing the skills employees need and how their performance is measured. Research shows that the efficiencies that the use of robots delivers are reducing the need for some middle management jobs. Meanwhile, roles for nonmanagerial employees who can support robot technologies or perform tasks robots can’t yet do are expanding faster than middle-skilled jobs — those that robots can do — are being lost.
Recent, dramatic growth in robot adoption across an increasing number of global industries has sparked avid interest in the impact robots will have in the workplace — particularly which jobs they will replace and whether any new jobs will be created for humans.1 Our recent research focused primarily on physical robots, including both industrial and collaborative robots, used in production processes. Our data confirms that companies are indeed eliminating some human jobs in favor of robots — but that robot adoption is increasing the total number of nonmanagerial employees while reducing the number of middle managers needed.2
Even with rapid technological advancements, robots aren’t yet capable of managing human employees. So why are managerial positions being eliminated when the robots arrive? Our research highlights two significant changes robots bring to the workplace that can explain this shift. One is the radical transformation in managers’ ability to measure and reward the performance of individual employees who work with robots. The other is a change in the skills required of nonmanagerial employees, which is affecting the nature of managerial work itself. When companies invest in robots, the combined effect of these two changes leads to reductions in managerial head count that can be dramatic.
How Efficiency Gains Impact Managers
In a previous MIT SMR article, we described how robot adoption is transforming organizations by making human performance measurement easier, thus enabling organizations to reward and manage talent more easily and effectively.
More accurate performance measurement enabled by robots makes supervisors much more efficient at managing employee performance.
Managers expend a significant amount of effort on people management — almost a third of their time, according to a recent McKinsey survey. When work is primarily done in teams, each individual employee’s contribution to group performance can be hard to discern.3 But robot adoption reduces the amount of time and effort required to compare individuals’ productivity levels, in many cases substantially so. This can be explained by a simple stylized example: If two humans work with the same type of robot but their levels of productivity differ, the consistency and transparency of the robot’s performance when working with both employees allows a manager to more easily observe the contribution of each person in isolation.
About the Authors Bryan Hong is an associate professor of entrepreneurship and management in the Bloch School of Management at the University of Missouri-Kansas City. Lynn Wu is associate professor of operations, information, and decisions at the University of Pennsylvania’s Wharton School of Management.
| 2025-06-25T00:00:00 |
https://sloanreview.mit.edu/article/why-robots-will-displace-managers-and-create-other-jobs/
|
[
{
"date": "2025/06/25",
"position": 23,
"query": "robotics job displacement"
}
] |
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Why AI is now an imperative for business leaders - USA Today
|
From buzzword to must-have: Why AI is now an imperative for business leaders
|
https://www.usatoday.com
|
[] |
“Most leaders at the moment are using AI to find productivity boosts, to save costs, to reduce headcount,” said Amy Webb, CEO of the Future ...
|
Carolyn Said
Special to USA TODAY
Artificial intelligence is no longer a futuristic buzzword − it’s a strategic imperative. For today’s C-suite executives, AI offers far more than just automation. It’s a tool to unlock growth, spark innovation, and empower smarter decision-making − if deployed wisely.
“Most leaders at the moment are using AI to find productivity boosts, to save costs, to reduce headcount,” said Amy Webb, CEO of the Future Today Strategy Group, a New York consulting firm specializing in strategic foresight. “But the real opportunity is top-line growth” − identifying the next waves of innovation and creativity, executing those ideas, and planning for the future more effectively.
To use AI strategically, leaders must first understand what kind they’re dealing with.
What's the difference between analytical AI and generative AI?
There are two main types, said Tom Davenport, professor of IT and management at Babson College in Wellesley, Massachusetts: analytical AI, which makes predictions based on structured data, and generative AI, which creates content such as text, images or product ideas.
Need a break? Play the USA TODAY Daily Crossword Puzzle.
For companies in manufacturing or logistics, analytical AI can predict equipment failures or optimize pricing, he said. For those in media, law, or marketing, generative AI can drastically boost content creation.
For instance, Colgate-Palmolive uses generative AI to simulate customer reactions to new products, while Kroger’s analytic AI predicts nightly inventory needs for every grocery store, said Davenport, co-author of “All-in On AI: How Smart Companies Win Big with Artificial Intelligence.”
Why AI should also be people-powered or The human side of artificial intelligence
Despite AI’s power, experts argue for always keeping humans in the loop.
Viewing AI just as a job killer is short-sighted, said Thomas Malone, Patrick J. McGovern professor of management at the MIT Sloan School of Management and founding director of the MIT Center for Collective Intelligence. He sees it as a collaborator, not a competitor.
Executives should be thinking about “how can I use this technology (along with its generation of) new ideas about new kinds of products and services to create new jobs and make more profit?” said Malone, author of “Superminds: The Surprising Power of People and Computers Thinking Together.”
Davenport calls for an augmentation mindset – deploying AI to empower employees, rather than to replace them. “Most of these technologies are not powerful enough or accurate enough to use without some human intervention,” he said.
Beyond the rewards, what are the risks of AI?
Embracing AI brings risks – but they’re not the pop-culture notions that robots will take our jobs and murder us in our sleep, said Webb, author of “The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity.”
One top risk is data decay – the way information can quickly become obsolete, undermining the effectivenes of AI that depends on it, she said.
Over-reliance on external partners is another danger.
“I see a lot of organizations, big and small, bringing in armies of consultants,” a short-term win, that sets up a long-term deficiency, Webb said. “It creates a huge vulnerability, because that company won't have developed any skills (and remains) reliant on these consultants going forward.”
A third risk centers on policy and regulatory uncertainty, she said, meaning companies may have to constantly change gears as laws evolve.
AI should be rooted in business strategy, not just handed off to IT, experts say.
Embedding it throughout a company is more effective than trying to manage it from above, Malone said. Letting lots of employees experiment with AI, while offering support and training, may yield opportunities both big and small, and get more AI knowledge spread throughout a company.
“There's more risk of trying to steer it top down than trying to have a lot more flowers blooming,” he said.
With AI’s rapid-fire evolution, leaders need to make sure they don’t get boxed into just today’s capabilities, Webb said. Rather, they should factor AI into strategic foresight – building scenarios for long-term, data-driven planning, rather than a narrow focus on the next few quarters or years.
“Decisions that are made on artificial intelligence today will have a reverberating effect for decades into the future, at a business level, at a societal level,” she said.
Leaders need to plunge into AI now without waiting for others to show the way, Davenport said. That means training people, developing good data and figuring out how AI fits into your business.
“Don’t think you can be a fast follower in this area,” he said. “The idea that you can catch up really quickly without having to make some of the early mistakes that your competitors do, is probably not going to be a good idea. It takes too long to get really good at it – so you should start now.”
AI is one case where the hype about transformation may be real.
“This technology has the potential to change business at least as much as the internet did, maybe quite a bit more,” Malone said.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.usatoday.com/story/money/business/2025/06/25/ai-business-tool-for-success/84289855007/
|
[
{
"date": "2025/06/25",
"position": 84,
"query": "AI business leaders"
},
{
"date": "2025/06/25",
"position": 53,
"query": "AI business leaders"
}
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] |
What the labor market isn't telling you—yet - McKinsey
|
What the labor market isn’t telling you—yet
|
https://www.mckinsey.com
|
[
"Brooke Weddle",
"Bryan Hancock",
"Svenja Gudell",
"Senior Partner",
"Washington Dc",
"Partner"
] |
AI is fast transforming work as we've known it—and the latest data on jobs doesn't always reflect the changes underway. “One word sums it up ...
|
AI is fast transforming work as we’ve known it—and the latest data on jobs doesn’t always reflect the changes underway. “One word sums it up best: ‘uncertainty,’” says Svenja Gudell, chief economist of global employment platform Indeed. In this episode of McKinsey Talks Talent, Svenja joins McKinsey talent leaders Brooke Weddle and Bryan Hancock, along with Global Editorial Director Lucia Rahilly, to help leaders make sense of the current collision of labor market trends: generative AI, agentic AI, an aging workforce, shifting priorities, and more.
The following transcript has been edited for clarity and length.
Uncertainty in today’s labor market
Lucia Rahilly: Svenja, welcome to McKinsey Talks Talent.
Svenja Gudell: Thanks so much for having me. It’s a pleasure to be here.
Lucia Rahilly: Let’s start with a quick overview of what your role as chief economist of Indeed’s Hiring Lab entails.
Svenja Gudell: As chief economist for Indeed, I run the Indeed Hiring Lab, which is Indeed’s economics and research arm. Our mission is to be at the forefront of everything to do with the labor market. If there’s a particular trend happening, we want to know about it and to inform our stakeholders and audiences.
Lucia Rahilly: There is a lot of uncertainty in the macroeconomic environment right now. What are the most surprising trends you see emerging in the data for 2025, and how do they compare with what you’ve seen in previous years?
Svenja Gudell: One word sums it up best: “uncertainty.” The level of uncertainty we’re dealing with in today’s economic market is incredibly high. That’s because a few trends are colliding at the same time: politics and where economic policy is going, leftover impacts from the pandemic, and demographic shifts that are larger and more long term. Many industrialized countries have aging economies and shrinking labor forces, particularly in places like Japan, where this is happening acutely already. Then there’s AI, particularly generative AI, and how it is impacting all those trends.
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Brooke Weddle: Svenja, as an economist, you look at a lot of data. How do you cut through the noise and say, “These are the two to three metrics that give me a sense for how any given labor market, whether in the US or another region, is changing”?
Svenja Gudell: We have an amazing playground of data. We’re able to look not only at the demand side—job postings, what employers are looking for, what kinds of skills are important, and how jobs are changing—but at the supply side as well—what job seekers are doing, what their behaviors are, what they’re bringing to the table, how they’re upskilling or reskilling themselves, and what they are expecting of work nowadays. Looking at that intersection is really important.
The level of uncertainty we’re dealing with in today’s economic market is incredibly high. Svenja Gudell
Then you have the larger macroeconomic environment. Particularly in the US, consumption is a big driver of what has made our economy historically so strong. That’s a nice forward-looking indicator. Sentiment is one of the big things we look at. And then standard stuff like unemployment, layoffs—particularly in this environment, where I feel like many of us are sitting at the edge of our seats and thinking, “Oh, what’s going to happen next? How are we going to react to this?” We have to look at the data to see, “Is there anything that’s telling us what might be upcoming?” The number of layoffs is, right now, one of the things we’re watching closely. Immigration numbers and general migration numbers are super important.
From churn to return
Bryan Hancock: What have you seen about people who are marginally attached to the labor market—the ones who are first to exit, first to come back in when the job market either gets weaker or stronger?
Svenja Gudell: Let me give you a little background, which helps frame where we are today. Initially, we had, of course, the COVID-19 shock to the labor market, and a lot of people exited the labor market.
Then we got vaccines. Things started speeding up again. And a lot of people reentered the market. We saw a whole lot of “unretiring,” if you will. People had said, “Alright, I’m retired.” And then either their nest egg wasn’t going as far as they thought, or they said, “Wages are climbing quite a bit right now. There’s a lot of upside to reengaging in the labor market.” So we saw really strong labor force participation again. And it carried all groups. Women started participating again, despite having to juggle—and still having to juggle—a lot of home and childcare duties.
Now we’re entering a slightly different market—and oftentimes a very different market, with return-to-work mandates and less flexibility. And as flexibility is removed, we’re not seeing the same wage increases. Now we’re in a steadier phase, and we’re not seeing as many people flow back into the labor market.
AI and jobs—from generative to agentic
Lucia Rahilly: Svenja, let’s get a sense of the holistic picture of the labor market that your data helps inform, starting with AI. Talk about how you see AI changing the game for job seekers. Are you seeing signs of displacement? Is AI reshaping the demand you see on your platform for certain kinds of skills?
Svenja Gudell: I’ll start on the macroeconomic side. The Hiring Lab team has done some extensive research trying to answer what I think is the number-one question out there: “How is generative AI impacting the labor market?”
We saw, particularly in the early days—three years ago—a lot of surveys that asked, “How will this impact different jobs? How are different skills and tasks going to be impacted?” We really wanted to take the wealth of data that we have at Indeed to bring a more quantitative approach to that question. So we dug in and tried to see, “Given all the skills in the Indeed skills taxonomy—close to 3,000 that basically describe the skills every single job needs—how are those skills impacted by generative AI?”
We looked not only at the general knowledge generative AI will bring to a certain skill but also at problem-solving abilities, as well as the need to be physically present. For example, as a nurse, if you’re taking blood, you have to be there to perform that action. So generative AI, at least currently, is not very good at doing something like that—although ten years from now, I fully expect a robotic nurse to take blood.
Bryan Hancock: How is generative AI changing the work of economists? How are you using gen AI in your work in looking at labor markets?
Svenja Gudell: It’s the next thing. Taking all that data, we were able to see that generative AI does not replace any job completely. There wasn’t a single job where generative AI was particularly good at all of it. However, it’s particularly good at doing a few things really well—for example, coding. Employers are adjusting how many software developers they hire or what kinds of efficiencies they’re starting to see in terms of how much code is written by generative AI.
The interesting outcome of that research was that we’re seeing a lot of augmentation of jobs. And the traditional list of impacted jobs was suddenly turned on its head. Automation impacted a lot of manual jobs. Generative AI impacted a lot of knowledge worker jobs: marketers, HR professionals, accountants, software developers. If you’re a bus driver or childcare professional or dentist, you saw less impact. If we have this conversation three years from now, I bet the landscape for jobs will have changed even more. And then, of course, there’s the other side: How is hiring changing, and what are the tools available to employers and job seekers as they go on their journey of finding that perfect job match or perfect candidate?
The usual thing for me to say for job security is that economists will never be extinct. I’m happy to report that so far, most generative AI tools aren’t really good at forecasting, or doing some of what we do daily, or even analyzing different trends and pulling them together. What it is really good at is summarizing research, for example. It’s faster now for me to do a literature review or get a sense of what the landscape is—what existing research is out there and where we might want to go.
Brooke Weddle: Svenja, what about agentic? Are you seeing any early signs of AI displacement, particularly among entry-level candidates entering the job market?
Svenja Gudell: Absolutely. We are seeing fewer internships, fewer entry-level jobs. We are also starting to see less demand for the highly impacted job functions, such as software developers. Interestingly, if you dig a little deeper, you’ll see a fair bit of demand for, say, data engineers—people who work with the data. You still need to feed your large language model a lot of data. But for pure coders, especially entry level—less so on the architect side of things—if you’re impacting a third of all that workload for every single person, you can probably combine those jobs. Maybe you hire one less person, and then another person does the more human aspects of the job that the machine cannot do yet. It’s a rejiggering of skills for a single job. But that impacts the type of job that is then hired for.
Bryan Hancock: Given the challenge of reduced postings and reduced openings for entry-level workers, what’s happening to the unemployment rate for recent college graduates?
Svenja Gudell: Unemployment is creeping up a bit. And recent graduates are more impacted in some countries than in others. Some of that is driven not only by AI but also by macroeconomic trends. But it’s a good thing to pay attention to because it brings up the larger questions, “What will happen to the entry-level job as we incorporate more of these agentic experiences or more generative AI? Will we continue to see unemployment creeping up more than it currently is?”
The tricky part is, you can’t look at this in isolation. From the employer perspective, you’re thinking, “I have other tools to do a lot of these tasks that I used to have an entry-level hire do.” But from the perspective of someone looking for a job, there’s a lot of potential for uptraining or reskilling using these tools.
I think this is the first time we’ve seen a disruption be not only the disruptor but also potentially the vehicle to help you live through that disruption. And I expect that will feed into some of the capabilities job seekers bring to their applications and to jobs later on. We have a ton of profile data at Indeed—over four million—that we look at from a research perspective. And one of the things we’ve started to pick up on is that a lot of folks working at McDonald’s are listing generative AI skills on their résumé. So I think we’ll start to notice people are getting in there and saying, “How can I use this tool to help me perform better in the labor market?”
This is the first time we’ve seen a disruption be not only the disruptor but also potentially the vehicle to help you live through that disruption. Svenja Gudell
Lucia Rahilly: Svenja, we’ve been talking about generative AI obviating certain tasks or reducing and reconfiguring roles. Any hot new roles emerging as AI starts to advance toward greater scale?
Svenja Gudell: Certainly. And history is on our side here; we’ve seen this story before. Every time there is a big technological development, we see the destruction of jobs and then the creation of new ones.
We’ve all talked about the prompt engineer, which was a big thing—it’s not that new anymore. We’ve seen a pickup in AI consultants. We’ve seen more salespeople having to be trained on selling AI technology. So some of these worlds are colliding and new jobs are being created.
From an employer perspective, this can often be tricky. Employers think, “I have to find people who understand AI and can also sell a product. Where do I find those skills together?” That brings us back to that original point around uncertainty.
If you look at payroll data and the jobs report, a lot of new jobs have been part-time. We’re seeing employers reach for a tool that they have in times of uncertainty. Maybe they don’t want to increase by a full headcount, but they’ll hire a contractor or a part-time employee to keep their options open and really flex in this environment of uncertainty.
McKinsey Talks Talent Podcast Bryan Hancock, Brooke Weddle, and other talent experts help you navigate a fast-changing landscape and prepare for the future of work by making talent a competitive advantage.
Evolving priorities
Brooke Weddle: Svenja, I want to return to your interesting insight around more McDonald’s workers sharing that they have a skill set that includes generative AI. How have you seen the role of the résumé change over time? What should job seekers be emphasizing, or what should they be thinking about differently when it comes to that core tool of getting a job?
The résumé is still a handy tool, and it’s still very widely used. Svenja Gudell
Svenja Gudell: One of the really big trends is skills first. The résumé is still a handy tool, and it’s still very widely used. Does your résumé need to live on a piece of paper? Maybe not. Maybe it’s just a collection of things you enter on a website, so it’s faster for a recruiter to gain appreciation for everything a candidate brings to the table: “Can you actually do what is required of you? Do you bring the right skills?” versus “Where did you go to school? How many years of experience do you have?”
That shows up in our data by how many jobs still require a master’s degree or a BA, for example, or how many jobs specify “ten-plus years’ experience” or “two years’ experience.” That number is going down—not as rapidly as in a very competitive market, because it was also a way to expand your talent pool. But we’re still seeing that push toward skills first.
Lucia Rahilly: I’m wondering about return to office—a hot headline at the outset of 2025. Is talent still prioritizing hybrid and other kinds of flexibility? Any changes in what job seekers are optimizing for?
Svenja Gudell: If you’re looking at the preferences and needs that a lot of job seekers have, number one is always compensation. Everyone wants a better pay package. No surprise there.
If you’re looking at the preferences and needs that a lot of job seekers have, number one is always compensation. Svenja Gudell
But particularly for women, the number-two reason for switching jobs remains flexibility—including either remote or hybrid working arrangements. We’re still seeing that as really important to a lot of job seekers. However, the number of jobs that offer remote work in the US has been steadily declining—perhaps not as much as the headlines might suggest, but from a high of somewhere around 10 percent to, I think, below 8 percent.
Some of that has to do with job mix. Right now, you have fewer openings in tech-type jobs, which tend to have a remote angle. We’ve seen a decrease in availability of remote and hybrid jobs on the supply side but not in terms of demand from job seekers.
We’ve seen a decrease in availability of remote and hybrid jobs on the supply side, but not in terms of demand from job seekers. Svenja Gudell
Lucia Rahilly: I want to pick up on something you said about the aging population. How does generation factor into the way workers are engaging with the labor market? Everyone’s focused on Gen Z. Does the data show that Gen Z has demonstrably different priorities in the jobs they’re pursuing?
Svenja Gudell: I think generational differences are not necessarily about the types of jobs candidates are searching for but rather what they’re hoping to find on the job. For example, we’ve done quite a bit of research on how political issues creep into life at work. Employees have expected companies to take more of a stance on certain issues. But there can be a lot of different viewpoints within the company itself, so the research is really interesting.
We also ran a survey that looked at how different generations look at diversity, equity, and inclusion—how they think about diversity among their senior leaders, how they think about bringing their whole selves to work. And there’s definitely a trend where younger generations care about this more than older generations. Part of that could be just what you’re used to and the trends that have been predominant at different times in the labor market.
What leaders are missing—and why it matters
Brooke Weddle: This gets me thinking. We’ve talked about a couple of headlines: return to office, AI. Are you looking at any trends and saying, “Gosh, why aren’t people talking about this or spending more time on this from a thought leadership perspective?”
Svenja Gudell: A lot of people really tend to focus on the short term—the now—and not really on having a good, long-term approach. And to survive, you have to have a short-term view on some things. You want to be able to open up your doors tomorrow as an employer. But having long-term trends in mind is also really important. So that’s always surprising to me, how headline driven we are.
A lot of people really tend to focus on the short term—the now—and not really on having a good, long-term approach. Svenja Gudell
And then as an economist, one of the really surprising things to me is, every time new data releases come out, we ask, “Oh, is this going to be the one that shows the impact, for example, of tariffs?” A lot of these trends take months to show up in official data, which makes us reach for other data sources. And then people are like, “Oh, we’re good—no inflation impact yet” or, “Consumption looks just fine.” But that data is three months old. It won’t show the impact.
With the onset of AI, one of the things we’ve looked at quite a bit is the “technification” of jobs. We have an AI tracker that looks at how many job postings mention AI in the job description. That could be for a creator of AI, someone who codes it, or a user of AI—someone in marketing or HR who uses that technology. And our tracker still has less than 1 percent of all jobs on Indeed that mention any sort of generative AI keywords. So it’s a really low number but really strong growth. Then you look at the technical skills most jobs require. And surprise, surprise: Microsoft Office is still the number-one-mentioned technological tool that every job wants out there. It’s really surprising.
Lucia Rahilly: Svenja, you mentioned seeing some slowing in the labor market, particularly in certain segments like entry-level jobs, as well as slowing attrition due to uncertainty. Acknowledging those dynamics, the labor market is still relatively tight. What are the biggest challenges you see for employers looking to attract and retain good talent in today’s marketplace?
The number-one thing to recognize is that the labor market is not a giant monolith. Svenja Gudell
Svenja Gudell: To me, the number-one thing to recognize is that the labor market is not a giant monolith. There are some really interesting things, particularly in the tighter market, that you can look at. Often, you might not have flexibility on base pay, but you have flexibility on benefits. We’re still seeing signing bonuses in the healthcare sector quite a bit. You can offer different training programs that help attract talent. Remote work is still a big thing that carries weight. A lot of different tools that an employer has in their toolbox can help in a tight market—beyond just paying more money.
The labor market of tomorrow
Lucia Rahilly: As you’re looking out beyond 2025, do you see any nascent trends or disruptions that business leaders should be aware of or act on now to get ahead of?
Svenja Gudell: Absolutely. The big one, again, is the race against an aging workforce. We’re going to start to see people still demanding goods and services without being active in the labor force anymore. So the number of workers actually available to take jobs is going to start to come down.
Balance that with AI. Are we going to see some of these promised productivity increases along the way? Which path will win out? Will we get AI up and running? It’s easy to have the technology, but you have to be able to use it productively inside your firm. Will that happen before we start to see these impacts of an aging workforce?
Those are the big ones. And then digging deeper there, I think every employer should—and many do—ask the questions, “How should I hire differently today? I hired a person five years ago, and this was their profile. Should that profile look different? Should I not even hire this person anymore, because these skills won’t be needed or won’t need to be performed by a human a year from now?”
That workforce-planning aspect, I think, is super important. And for that, you’ve really got to have more than your big toe dipped into the AI pool to understand what’s really happening.
Brooke Weddle: That really resonates. As you think about trends and the adoption of AI, how will that impact employee sentiment?
Svenja Gudell: I’ve had the really cool opportunity to go to Davos for the past two years. In 2024, generative AI was the talk of the town. Everyone was kind of fearful, on the side of both the employer—“How can I integrate this and make the most of it?”—and the employee—“Is my job going to go away?” This year had much more of a flavor of, particularly for agentic AI, “This will be a partner for you. You work alongside the tool to produce things.” And some of that is driven by the fact that generative AI still lacks some very important human traits like empathy, leadership, parts of communication.
So how do you marry those two? That is a really interesting path to go down: “Have employees taken that opportunity to be able to use the tool to their advantage?” We see this in the data; they’re slightly less afraid of it as they’ve learned more about it.
Lucia Rahilly: Thanks so much for joining us, Svenja.
Svenja Gudell: I very much enjoyed the conversation. Thank you.
| 2025-06-25T00:00:00 |
https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/what-the-labor-market-isnt-telling-you-yet
|
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{
"date": "2025/06/25",
"position": 40,
"query": "AI labor market trends"
}
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|
Juniper Networks, Now Part of HPE – Leading the ...
|
Juniper Networks, Now Part of HPE – Leading the Convergence of AI & Networking
|
https://www.juniper.net
|
[] |
Proven AI for your network. Mist, the AI-native networking platform makes every connection more reliable, measurable, and secure for businesses.
|
Gartner Magic Quadrant for Enterprise Wired and Wireless LAN Infrastructure, Mike Leibovitz, Christian Canales, Nauman Raja, Tim Zimmerman 25 June 2025.
Gartner, Magic Quadrant for Data Center Switching, Andrew Lerner, Simon Richard, et al., 31 March 2025
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates and are used herein with permission. All rights reserved.
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Juniper Networks.
| 2025-06-25T00:00:00 |
https://www.juniper.net/
|
[
{
"date": "2025/06/25",
"position": 90,
"query": "AI employers"
}
] |
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] |
|
The End of Publishing as We Know It
|
The End of Publishing as We Know It
|
https://www.theatlantic.com
|
[
"Alex Reisner"
] |
... AI companies than blog and social-media posts. (Ziff Davis is suing OpenAI ... Investigative journalism that exposes corruption and malfeasance by ...
|
When tech companies first rolled out generative-AI products, some critics immediately feared a media collapse. Every bit of writing, imagery, and video became suspect. But for news publishers and journalists, another calamity was on the horizon.
Chatbots have proved adept at keeping users locked into conversations. They do so by answering every question, often through summarizing articles from news publishers. Suddenly, fewer people are traveling outside the generative-AI sites—a development that poses an existential threat to the media, and to the livelihood of journalists everywhere.
According to one comprehensive study, Google’s AI Overviews—a feature that summarizes web pages above the site’s usual search results—has already reduced traffic to outside websites by more than 34 percent. The CEO of DotDash Meredith, which publishes People, Better Homes & Gardens, and Food & Wine, recently said the company is preparing for a possible “Google Zero” scenario. Some have speculated that traffic drops resulting from chatbots were part of the reason outlets such as Business Insider and the Daily Dot have recently had layoffs. “Business Insider was built for an internet that doesn’t exist anymore,” one former staffer recently told the media reporter Oliver Darcy.
Not all publishers are at equal risk: Those that primarily rely on general-interest readers who come in from search engines and social media may be in worse shape than specialized publishers with dedicated subscribers. Yet no one is totally safe. Released in May 2024, AI Overviews joins ChatGPT, Claude, Grok, Perplexity, and other AI-powered products that, combined, have replaced search for more than 25 percent of Americans, according to one study. Companies train chatbots on huge amounts of stolen books and articles, as my previous reporting has shown, and scrape news articles to generate responses with up-to-date information. Large language models also train on copious materials in the public domain—but much of what is most useful to these models, particularly as users seek real-time information from chatbots, is news that exists behind a paywall. Publishers are creating the value, but AI companies are intercepting their audiences, subscription fees, and ad revenue.
Read: The unbelievable scale of AI’s pirated-books problem
I asked Anthropic, xAI, Perplexity, Google, and OpenAI about this problem. Anthropic and xAI did not respond. Perplexity did not directly comment on the issue. Google argued that it was sending “higher-quality” traffic to publisher websites, meaning that users purportedly spend more time on the sites once they click over, but declined to offer any data in support of this claim. OpenAI referred me to an article showing that ChatGPT is sending more traffic to websites overall than it did previously, but the raw numbers are fairly modest. The BBC, for example, reportedly received 118,000 visits from ChatGPT in April, but that’s practically nothing relative to the hundreds of millions of visitors it receives each month. The article also shows that traffic from ChatGPT has in fact declined for some publishers.
Over the past few months, I’ve spoken with several news publishers, all of whom see AI as a near-term existential threat to their business. Rich Caccappolo, the vice chair of media at the company that publishes the Daily Mail—the U.K.’s largest newspaper by circulation—told me that all publishers “can see that Overviews are going to unravel the traffic that they get from search, undermining a key foundational pillar of the digital-revenue model.” AI companies have claimed that chatbots will continue to send readers to news publishers, but have not cited evidence to support this claim. I asked Caccappolo if he thought AI-generated answers could put his company out of business. “That is absolutely the fear,” he told me. “And my concern is it’s not going to happen in three or five years—I joke it’s going to happen next Tuesday.”
Book publishers, especially those of nonfiction and textbooks, also told me they anticipate a massive decrease in sales, as chatbots can both summarize their books and give detailed explanations of their contents. Publishers have tried to fight back, but my conversations revealed how much the deck is stacked against them. The world is changing fast, perhaps irrevocably. The institutions that comprise our country’s free press are fighting for their survival.
Publishers have been responding in two ways. First: legal action. At least 12 lawsuits involving more than 20 publishers have been filed against AI companies. Their outcomes are far from certain, and the cases might be decided only after irreparable damage has been done.
The second response is to make deals with AI companies, allowing their products to summarize articles or train on editorial content. Some publishers, such as The Atlantic, are pursuing both strategies (the company has a corporate partnership with OpenAI and is suing Cohere). At least 72 licensing deals have been made between publishers and AI companies in the past two years. But figuring out how to approach these deals is no easy task. Caccappolo told me he has “felt a tremendous imbalance at the negotiating table”—a sentiment shared by others I spoke with. One problem is that there is no standard price for training an LLM on a book or an article. The AI companies know what kinds of content they want, and having already demonstrated an ability and a willingness to take it without paying, they have extraordinary leverage when it comes to negotiating. I’ve learned that books have sometimes been licensed for only a couple hundred dollars each, and that a publisher that asks too much may be turned down, only for tech companies to take their material anyway.
Read: ChatGPT turned into a Studio Ghibli machine. How is that legal?
Another issue is that different content appears to have different value for different LLMs. The digital-media company Ziff Davis has studied web-based AI training data sets and observed that content from “high-authority” sources, such as major newspapers and magazines, appears more desirable to AI companies than blog and social-media posts. (Ziff Davis is suing OpenAI for training on its articles without paying a licensing fee.) Researchers at Microsoft have also written publicly about “the importance of high-quality data” and have suggested that textbook-style content may be particularly desirable.
But beyond a few specific studies like these, there is little insight into what kind of content most improves an LLM, leaving a lot of unanswered questions. Are biographies more or less important than histories? Does high-quality fiction matter? Are old books worth anything? Amy Brand, the director and publisher of the MIT Press, told me that “a solution that promises to help determine the fair value of specific human-authored content within the active marketplace for LLM training data would be hugely beneficial.”
A publisher’s negotiating power is also limited by the degree to which it can stop an AI company from using its work without consent. There’s no surefire way to keep AI companies from scraping news websites; even the Robots Exclusion Protocol, the standard opt-out method available to news publishers, is easily circumvented. Because AI companies generally keep their training data a secret, and because there is no easy way for publishers to check which chatbots are summarizing their articles, publishers have difficulty figuring out which AI companies they might sue or try to strike a deal with. Some experts, such as Tim O’Reilly, have suggested that laws should require the disclosure of copyrighted training data, but no existing legislation requires companies to reveal specific authors or publishers that have been used for AI training material.
Of course, all of this raises a question. AI companies seem to have taken publishers’ content already. Why would they pay for it now, especially because some of these companies have argued in court that training LLMs on copyrighted books and articles is fair use?
Perhaps the deals are simply hedges against an unfavorable ruling in court. If AI companies are prevented from training on copyrighted work for free, then organizations that have existing deals with publishers might be ahead of their competition. Publisher deals are also a means of settling without litigation—which may be a more desirable path for publishers who are risk-averse or otherwise uncertain. But the legal scholar James Grimmelmann told me that AI companies could also respond to complaints like Ziff Davis’s by arguing that the deals involve more than training on a publisher’s content: They may also include access to cleaner versions of articles, ongoing access to a daily or real-time feed, or a release from liability for their chatbot’s plagiarism. Tech companies could argue that the money exchanged in these deals is exclusively for the nonlicensing elements, so they aren’t paying for training material. It’s worth noting that tech companies almost always refer to these deals as partnerships, not licensing deals, likely for this reason.
Regardless, the modest income from these arrangements is not going to save publishers: Even a good deal, one publisher told me, won’t come anywhere near recouping the revenue lost from decreased readership. Publishers that can figure out how to survive the generative-AI assault may need to invent different business models and find new streams of revenue. There may be viable strategies, but none of the publishers I spoke with has a clear idea of what they are.
Publishers have become accustomed to technological threats over the past two decades, perhaps most notably the loss of ad revenue to Facebook and Google, a company that was recently found to have an illegal monopoly in online advertising (though the company has said it will appeal the ruling). But the rise of generative AI may spell doom for the Fourth Estate: With AI, the tech industry even deprives publishers of an audience.
In the event of publisher mass extinction, some journalists will be able to endure. The so-called creator economy shows that it’s possible to provide high-quality news and information through Substack, YouTube, and even TikTok. But not all reporters can simply move to these platforms. Investigative journalism that exposes corruption and malfeasance by powerful people and companies comes with a serious risk of legal repercussions, and requires resources—such as time and money—that tend to be in short supply for freelancers.
If news publishers start going out of business, won’t AI companies suffer too? Their chatbots need access to journalism to answer questions about the world. Doesn’t the tech industry have an interest in the survival of newspapers and magazines?
In fact, there are signs that AI companies believe publishers are no longer needed. In December, at The New York Times’ DealBook Summit, OpenAI CEO Sam Altman was asked how writers should feel about their work being used for AI training. “I think we do need a new deal, standard, protocol, whatever you want to call it, for how creators are going to get rewarded.” He described an “opt-in” regime where an author could receive “micropayments” when their name, likeness, and style were used. But this could not be further from OpenAI’s current practice, in which products are already being used to imitate the styles of artists and writers, without compensation or even an effective opt-out.
Google CEO Sundar Pichai was also asked about writer compensation at the DealBook Summit. He suggested that a market solution would emerge, possibly one that wouldn’t involve publishers in the long run. This is typical. As in other industries they’ve “disrupted,” Silicon Valley moguls seem to perceive old, established institutions as middlemen to be removed for greater efficiency. Uber enticed drivers to work for it, crushed the traditional taxi industry, and now controls salaries, benefits, and workloads algorithmically. This has meant greater convenience for consumers, just as AI arguably does—but it has also proved ruinous for many people who were once able to earn a living wage from professional driving. Pichai seemed to envision a future that may have a similar consequence for journalists. “There’ll be a marketplace in the future, I think—there’ll be creators who will create for AI,” he said. “People will figure it out.”
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.theatlantic.com/technology/archive/2025/06/generative-ai-pirated-articles-books/683009/
|
[
{
"date": "2025/06/25",
"position": 28,
"query": "AI journalism"
},
{
"date": "2025/06/25",
"position": 14,
"query": "artificial intelligence journalism"
}
] |
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Ethics & standards - journalismAI.com
|
Ethics & standards
|
https://journalismai.com
|
[] |
AI in the Newsroom. Ethics & Standards. Explainers. Trust. journalismAI.com is an independent database of developments in journalism ...
|
journalismAI.com is an independent database of developments in journalism and AI. All items are human-curated and summarized. The archive has 600+ stories dating from 2014.
Click on a subject above or use the search box in the masthead.
| 2025-06-25T00:00:00 |
https://journalismai.com/category/ethics/
|
[
{
"date": "2025/06/25",
"position": 59,
"query": "AI journalism"
}
] |
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] |
|
Journalism and AI: attitudes in the UK 2024
|
Journalism and AI: attitudes in the UK 2024
|
https://www.statista.com
|
[
"Amy Watson",
"Jun"
] |
Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024.
|
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Press Gazette. (April 11, 2024). Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024 [Graph]. In Statista . Retrieved July 15, 2025, from https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
Press Gazette. "Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024." Chart. April 11, 2024. Statista. Accessed July 15, 2025. https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
Press Gazette. (2024). Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024 . Statista . Statista Inc.. Accessed: July 15, 2025. https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
Press Gazette. "Attitudes to How Acceptable It Would Be for Artificial Intelligence to Complete Selected Journalism Tasks among Adults in The United Kingdom as of January 2024." Statista , Statista Inc., 11 Apr 2024, https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
Press Gazette, Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024 Statista, https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/ (last visited July 15, 2025)
Attitudes to how acceptable it would be for artificial intelligence to complete selected journalism tasks among adults in the United Kingdom as of January 2024 [Graph], Press Gazette, April 11, 2024. [Online]. Available: https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
| 2025-06-25T00:00:00 |
https://www.statista.com/statistics/1462596/journalism-tasks-completed-by-ai-uk-attitudes/
|
[
{
"date": "2025/06/25",
"position": 61,
"query": "AI journalism"
},
{
"date": "2025/06/25",
"position": 43,
"query": "artificial intelligence journalism"
}
] |
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|
Webinar - Using AI to Help Reporters
|
Using AI to Help Reporters
|
https://www.inma.org
|
[
"Pepe Cerezo Gilarranz",
"Lucy Kueng",
"David Murphy",
"Jeff Elgie"
] |
How Hearst Newspapers and Polaris Media are using AI to help reporters find information, discover patterns in data, and brainstorm ideas is the focus of ...
|
Using AI to Help Reporters Presented by Tim O'Rourke, Vice President, Editorial Innovation and AI Strategy, Hearst Newspapers, and Rune Ytreberg, Head of iTromsø's Data Journalism Lab, Polaris Media Group
About this Webinar
How Hearst Newspapers and Polaris Media are using AI to help reporters find information, discover patterns in data, and brainstorm ideas is the focus of this INMA Generative AI Initiative Webinar.
We are pleased to welcome two leaders with remarkable stories to share as our guest speakers:
Tim O'Rourke, vice president of editorial innovation and AI strategy for Hearst Newspapers, where he leads the group's DevHub editorial engineering, visual and data storytelling, and AI+Automation teams;
Rune Ytreberg, who leads iTromsø's data journalism lab, where he has been developing AI-driven editorial solutions for 70 local newspapers within the Polaris Media Group since 2020.
The Webinar will be moderated by Sonali Verma, INMA's Generative AI Initiative Lead.
About Hearst Newspapers
Hearst Newspapers publishes 28 dailies and 50 weeklies and is home to famed brands such as The San Francisco Chronicle. Hearst Newspapers has more than 2,300 employees across the nation and is part of Hearst Corporation, one of the largest media, information and services companies in the United States.
About Polaris Media
Polaris Media owns 77 local and regional news brands, of which 60 are in Norway and 17 in Sweden, including Göteborgs-Posten. They reach over a million readers on digital platforms every day. It also has six printing houses and five distribution companies in Norway, as well as one distribution company in Sweden. The group's roots stretch back to 1767.
| 2025-06-25T00:00:00 |
https://www.inma.org/webinars/using-ai-to-help-reporters
|
[
{
"date": "2025/06/25",
"position": 69,
"query": "AI journalism"
}
] |
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|
CCM TRAININGS - Newmark J-School
|
Newmark J-School
|
https://www.journalism.cuny.edu
|
[
"Newmark J-School"
] |
If you have any suggestions for trainings, please let us know at [email protected]. ... AI for SEO can dramatically increase your visibility, grow ...
|
Whether you're a newsroom of one or part of a larger ethnic media collective, learning to leverage AI for SEO can dramatically increase your visibility, grow your audience, and ensure your brand ranks in search. With shrinking newsrooms and rising automation, mastering AI-driven SEO is no longer optional — it's essential for survival and growth.
| 2025-06-25T00:00:00 |
https://www.journalism.cuny.edu/centers/center-community-media/ccm-trainings/
|
[
{
"date": "2025/06/25",
"position": 82,
"query": "AI journalism"
}
] |
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|
AI layoffs pose risk: Build strength, not weakness
|
AI layoffs pose risk: Build strength, not weakness
|
https://hrzone.com
|
[
"Quentin Millington",
"Read More Quentin Millington",
"Susan Bright",
"Kate Palmer",
"Becky Norman",
"Paul O Donnell"
] |
Here, Quentin Millington of Marble Brook considers four ways leaders can ensure artificial intelligence strengthens – rather than weakens – their team's value.
|
Let us resist scaremongering and the bashing of company executives. Of the 40 to 55,000 job losses planned for the decade and announced by former BT Group chief Philip Jansen in 2023, the roll-out of Full Fibre accounted for over half. Some 10,000 layoffs were to come from digitisation and automation.
Still, the claim made to the Financial Times earlier this month by Jansen’s successor Allison Kirkby, that advances in artificial intelligence (AI) might by 2030 allow the telecoms giant to be “even smaller”, gives pause for thought.
Kirkby’s view that the group’s original ambitions “did not reflect the full potential of AI” shows how the technology is disrupting operations across the sector. Her words also raise general questions about how AI is recasting the lives of employees, customer experiences and society at large.
AI is no panacea
Thinking about the redundancies that AI is now causing across many industries, what is the full potential of AI? Many corporate decision-makers remain unsure.
Research by Orgvue suggests that over half of companies that fired people in favour of AI now regret the decision. Gartner predicts that by 2027 many businesses will shelve their plans to reduce customer-facing teams given how ‘agent-less’ staffing initiatives have failed to meet expectations.
Whilst Silicon Valley bullies, blackmails and bribes the world to jump on its bandwagon of artificial intelligence, executive teams are discovering – many to their cost and embarrassment – that AI is no panacea for the challenges of good performance.
The value that employees bring is complex and not easily quantified.
Four practical ways to make sense of AI
How, then, can organisations avoid the pitfalls of hasty implementation and instead make the technology work for them and their stakeholders?
1. Clarify your vision of ‘good’
Without doubt, AI is a force for disruptive change. Whilst we know what we are moving away from – our present circumstances – how clear are we on what we are moving toward? When not guided by a coherent vision of the future, AI strategies will be rudderless, ineffective or downright harmful.
A first step is to describe what ‘good’ looks like, by stating what your AI ambitions mean, in truth, for the workplace, employees’ jobs and lives, customers, and wider society. It is also important to explain what will be lost as the future unfolds. If diverse stakeholders cannot agree that your picture is enriching, then the plans may be unsound.
2. Think value, not cost
Silicon Valley’s AI discourse is dominated by the rhetoric of efficiency, speed and cost. But such strategies rarely yield long-term advantage. Worse, powered by AI, the relentless drive for efficiency risks creating workplaces, businesses and whole societies stripped of richness and meaning: few people want to be surrounded by bots.
Spreadsheets will always favour AI over human resources, so cost metrics skew the conversation. Instead, explore how AI both adds to, and subtracts from, value the business exists to create.
Trade-offs are a factor in this decision-making process: to illustrate, redundancies ease the financials yet mean a loss for individuals, their families and society. Where is the gain for such stakeholders that offsets a firm’s “opportunity” to be smaller?
3. Automate tasks, don’t replace people
The value that employees bring is complex and not easily quantified. Consider, for example, the hotel doorman, whose role is not simply to open doors but to champion the human experiences that guests appreciate; this ‘invisible’ responsibility secures rack rates and repeat custom.
Competitors can replicate the work of your bots and, unlike the contributions of human employees, AI outputs bring neither meaning nor stickiness to relationships with customers and employees. As such, questions about replacing jobs likely miss hidden value and are almost certainly premature.
Ask colleagues and customers, rather, what tasks they find tedious and would like to automate. This helps secure buy-in and reveals practical ways forward.
The world cannot cherry-pick the upside of cost-efficiency and neglect AI’s impact on employees.
4. Let your AI strategy evolve
Decisions made about AI today will not suffice for the long term: workplaces are complex, roles evolve, people grow, markets shift and appetites change. Technology also advances at pace. We cannot know, as Kirkby intimates, the full potential – or, let us add, the full harm – of AI.
Small steps reveal the surest path to beneficial use of new technology. Again, involve stakeholders in a dialogue, not a one-off research exercise, about how automation may be used to augment value.
The important thing during early disruption is to turn the corner, as we call it, and give everyone a more assured view of the future, which is as yet unknown. Learn from experience as you go along.
Call for leadership strength
The world cannot cherry-pick the upside of cost-efficiency and neglect AI’s impact on employees, customers or (especially for large firms) society. Thoughtful executive teams will bring intelligence, empathy and care to think through consequences, relate to people and make sound choices.
A friend of mine who runs technology for a global bank last week said, “Most AI strategies are confidently designed on a spreadsheet, and that’s a disaster for everyone”. No one can make full sense of AI in the areas above, for definitive answers are impossible. What matters is that we ask the right questions.
And as the world grapples with this complex yet vital reality, I wish for Kirkby – and her peers across global industry – imagination, courage and, not least, luck, as they shoulder the burden to create value from AI.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://hrzone.com/ai-layoffs-pose-risk-build-strength-not-weakness/
|
[
{
"date": "2025/06/25",
"position": 34,
"query": "AI layoffs"
}
] |
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ChatGPT use among Americans roughly doubled since 2023
|
34% of U.S. adults have used ChatGPT, about double the share in 2023
|
https://www.pewresearch.org
|
[
"Olivia Sidoti",
"Colleen Mcclain",
".Wp-Block-Prc-Block-Bylines-Display Background Inherit Box-Sizing Inherit Color Inherit Color Var --Wp--Preset--Color--Text-Color",
"Font-Family Var --Wp--Preset--Font-Family--Sans-Serif",
"Font-Size Font-Weight Gap Important Line-Height",
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".Wp-Block-Prc-Block-Bylines-Query Background Inherit Color Inherit"
] |
In two years, the share of employed adults who say they use ChatGPT for work has risen by 20 percentage points to 28%. That includes an 8-point increase since ...
|
The share of Americans who have used ChatGPT, an AI chatbot released in November 2022, has roughly doubled since summer 2023. Today, 34% of U.S. adults say they have ever used ChatGPT, according to a Pew Research Center survey. That includes a 58% majority of adults under 30.
Still, 66% of Americans have not used the chatbot, including 20% who say they’ve heard nothing about it.
Below, we explore the following questions:
How we did this Pew Research Center conducted this analysis to understand Americans’ use of ChatGPT. For this analysis, we surveyed 5,123 U.S. adults from Feb. 24 to March 2, 2025. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), a group of people recruited through national, random sampling of residential addresses who have agreed to take surveys regularly. This kind of recruitment gives nearly all U.S. adults a chance of selection. Interviews were conducted either online or by telephone with a live interviewer. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other factors. Read more about the ATP’s methodology. Here are the questions used for this analysis, the topline and the survey methodology.
Who has used ChatGPT?
Use of ChatGPT is up across age groups and education levels, but some groups remain more likely than others to have used it.
Differences by age
As in previous years, young adults stand out in their ChatGPT use. Today, 58% of adults under 30 say they have used it, up from 43% in 2024 and 33% in 2023. While use is rising in older age groups as well, they remain less likely to have used ChatGPT:
41% of adults ages 30 to 49 have used it.
25% of those 50 to 64 say the same.
10% of those 65 and older report ever using ChatGPT.
Differences by education
Adults with higher levels of formal education are more likely than those with less education to have used ChatGPT. About half of those with a bachelor’s degree only (51%) or a postgraduate degree (52%) say they have used ChatGPT, compared with smaller shares of those with some college experience (33%) or a high school degree or less education (18%).
How have Americans used ChatGPT?
Since March 2023, we’ve also asked about three ways people might use ChatGPT: for work, to learn something new or for entertainment. We see growth in all three areas.
In two years, the share of employed adults who say they use ChatGPT for work has risen by 20 percentage points to 28%. That includes an 8-point increase since last year.
Other Center research shows workers have mixed feelings about its use and expect it to have a major impact on jobs.
Looking at other use cases for ChatGPT among U.S. adults overall:
26% have used it for learning, up from 8% in March 2023.
up from 8% in March 2023. 22% have used it for entertainment, up from 11%.
Differences by age
Use of ChatGPT for these reasons has risen since March 2023 across age groups. But younger adults are more likely than older adults to use ChatGPT in these ways. For example, 38% of employed adults ages 18 to 29 say they have used ChatGPT on the job. This compares with:
30% of those ages 30 to 49
18% of those 50 and older
Some 46% of all adults under 30 have used it to learn something new. And 42% have used it for entertainment.
Still, some older adults have used ChatGPT in these ways. About three-in-ten adults ages 30 to 49 say they’ve ever used the chatbot for learning and entertainment. The share of adults 50 or older who say the same drops further.
Differences by education
Adults with higher levels of formal education also stand out in using ChatGPT at work. Some 45% of employed adults with a postgraduate degree say they have used it this way, compared with:
36% of those with a bachelor’s degree
25% of those with some college experience
17% of those with a high school education or less
Among all U.S. adults, those with a bachelor’s degree only (34%) or a postgraduate degree (39%) are the most likely to use the chatbot for learning.
How aware are Americans of ChatGPT?
Awareness of ChatGPT has risen over time: When we first asked about it in March 2023, 58% said they had heard at least a little about it. Now, most Americans – 79% – have heard at least a little about it, including 34% who have heard a lot about it.
Differences by age
Majorities of adults of all ages have heard about the chatbot. But adults under 30 stand out for hearing a lot about it – 53% say this, compared with 15% of those 65 and older.
Differences by education
Regardless of education level, majorities of adults have heard at least a little about ChatGPT. But about half of adults with a postgraduate degree say they’ve heard a lot about it. That compares with 19% of those with a high school degree or less education.
Note: This is an update of a post originally published on March 26, 2024. Here are the questions used for this analysis, the topline and the survey methodology.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/
|
[
{
"date": "2025/06/25",
"position": 1,
"query": "ChatGPT employment impact"
}
] |
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White‑Collar Job Losses Rise, But Don't Blame ChatGPT
|
White‑Collar Job Losses Rise, But Don’t Blame ChatGPT
|
https://www.aol.com
|
[
"Aol Staff",
"Joe Riley",
"June",
"At Am"
] |
Employees that take advantage of the latest AI tools reported a 40% boost in their productivity, according to a new report from freelancing platform Upwork. C- ...
|
Over the last year, it's been hard to open a news app or scroll social media without seeing some headline claiming artificial intelligence is gunning for your job. If you've been laid off from a desk job recently—or know someone who has—it's easy to jump to conclusions. But while AI is certainly reshaping workplaces, the real reasons behind the white-collar job cuts of 2024 and 2025 have more to do with corporate strategy, economic tightening, and good old-fashioned belt-tightening than a chatbot coming for your paycheck.
After all, ChatGPT did not tell your boss to fire you. It didn't push the layoff button or delete your role from the org chart. What's really happening is more complicated and a lot more human.
The Layoff Landscape: It's Not Just Tech
Image via Unsplash/Greg Bulla
White-collar job cuts aren't isolated to Silicon Valley, although big tech has definitely been setting the tone. Microsoft, Google, Amazon, and Meta all made headlines this year for laying off thousands of employees, many of them in high-paying roles like software development, sales, human resources, and even middle management. But they weren't the only ones. Corporations across industries, from media to finance to FMCG, followed suit, often without much public explanation.
According to the U.S. Bureau of Labor Statistics, professional and business services, a sector that typically houses white-collar jobs, saw a dip in hiring activity in both 2024 and early 2025. In May alone, the sector reported a -0.4% decline in job growth. Meanwhile, fields like healthcare and construction saw solid gains, with healthcare alone adding 62,000 jobs.
So while some corners of the job market are humming along, the corporate cubicle crowd is feeling the pinch.
What's Actually Behind the Layoffs
For now, economists who study labor trends aren't placing the blame squarely on AI. Cory Stahle, an economist with job search site Indeed, put it plainly: "This is more of an economic story and less of an AI disruption story, at least so far." Alí Bustamante, from the Roosevelt Institute, agreed, noting that job creation in white-collar roles has been slowing down for years, long before ChatGPT became a household name.
In other words, the slowdown was already in motion. What we're seeing now is a mix of companies adjusting to post-pandemic growth bubbles, trying to cut costs after overhiring in 2021 and 2022, and responding to investor pressure.
The Middle Manager Problem
One of the more visible targets of recent layoffs is middle management. A trend that started quietly in 2023 has picked up steam. Meta CEO Mark Zuckerberg even commented on it directly, saying he didn't want "managers managing managers managing managers." At companies like Microsoft, Salesforce, and Amazon, mid-level leaders have been quietly thinned out, many replaced by smaller, more autonomous teams with flatter reporting structures.
Data from McKinsey shows that nearly half of middle managers spend less than 25% of their time actually managing people. The rest is tied up in reporting, meetings, and process-heavy tasks that aren't as essential in a streamlined setup. This has made them an easy target during restructuring, and not because AI is writing their performance reviews.
Yes, AI Is In the Room—But It's Not Running It
Image via Freepik/rawpixel.com
That's not to say AI hasn't played a role at all. It's just not the boogeyman it's made out to be. Companies like Amazon and Klarna have been vocal about how they're using generative AI to increase efficiency, and in some cases, reduce headcount. Amazon CEO Andy Jassy has spoken about using smaller teams powered by AI tools. Klarna's CEO noted that their company has trimmed its workforce by 40%, thanks in part to AI adoption.
AI tools can now handle tasks like data entry, initial drafts of written content, and basic customer support responses. That's a big help for teams stretched thin. Still, these tools don't manage projects, build trust with clients, or set strategy. They help with the grunt work, not the big picture.
A 2024 report from Indeed backs this up. Researchers found that out of more than 2,800 unique job skills analyzed, fewer than 1% were considered "very likely" to be fully replaced by generative AI. Over two-thirds of those skills were labeled "very unlikely" or "unlikely" to be automated anytime soon.
Specialization, Not Automation, Is the Bigger Deal
A lesser-discussed reason behind the white-collar crunch is the growing emphasis on specialization. Job postings increasingly call for experience with specific tools, niche certifications, or expertise in emerging fields like AI ethics or data science.
The hiring slowdown is also about roles sitting unfilled because companies don't want to train up generalists anymore. As one tech recruiter bluntly put it, "Nobody wants to hire someone they have to train for six months." This shift means many well-qualified workers are now competing for fewer jobs that require much narrower skill sets.
While some firms are still shelling out massive salaries to lure elite candidates—like Meta, which offers multimillion-dollar packages to AI researchers—those roles are the exception, not the rule. For the average corporate employee, the path forward looks a lot more competitive.
There's also a psychological shift happening behind the scenes. Post-pandemic optimism gave way to a more cautious mindset as interest rates rose and market growth slowed. Companies that once prioritized "growth at all costs" are now pivoting to efficiency and profitability.
That means fewer new roles, slower hiring, and yes, some job cuts that would've been unthinkable just a couple of years ago.
So, What Now?
If you're sitting in a white-collar job that feels suddenly less stable, you're not imagining things. But you're also not being replaced by a chatbot. The current wave of job losses stems from a tangle of economic caution, company restructuring, and a shift toward specialized hiring.
In fact, generative AI tools like ChatGPT are still limited by what they don't know. They can summarize, automate, and suggest, but they can't replace decision-making, emotional intelligence, or original thought. Not yet—and possibly not for a long time.
If anything, the real challenge might be adjusting to the pace of change in corporate culture and keeping your skills fresh enough to ride it out.
| 2025-06-25T00:00:00 |
https://www.aol.com/white-collar-job-losses-rise-130048679.html
|
[
{
"date": "2025/06/25",
"position": 34,
"query": "ChatGPT employment impact"
}
] |
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|
The Batch | DeepLearning.AI | AI News & Insights
|
AI News & Insights
|
https://www.deeplearning.ai
|
[] |
The Batch AI News and Insights: AI's ability to make tasks not just cheaper, but also faster, is underrated in its importance in creating business value.
|
Jun 18, 2025
Apple Sharpens Its GenAI Profile, Hollywood Joins Copyright Fight, OpenAI Ups Reasoning Quotient, LLM Rights Historical Wrongs
The Batch AI News and Insights: One of the most effective things the U.S. or any other nation can do to ensure its competitiveness in AI is to welcome high-skilled immigration and international students who have the potential to become high-skilled.
| 2025-06-25T00:00:00 |
https://www.deeplearning.ai/the-batch/
|
[
{
"date": "2025/06/25",
"position": 82,
"query": "artificial intelligence journalism"
}
] |
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|
Informatica CEO: How to future-proof your career in the age ...
|
Informatica CEO: How to future-proof your career in the age of AI
|
https://fortune.com
|
[
"Amit Walia"
] |
Employees need to raise their AI IQ and exercise more left-brain thinking, says Amit Walia, to survive workplace upheaval.
|
There’s a lively debate underway about the impact artificial intelligence will have on the workplace, from worries about a “job apocalypse” at one extreme to a shorter workweek at the other. It’s too early to know how it will play out, but one thing is clear: AI will require most everyone to learn new skills—and quickly.
Retraining, reskilling, upskilling, and AI-aware professional development are the new norm in many jobs, from entry-level to senior executives. Maybe I shouldn’t say “new norm” because workers have been down this career path many times before. When telephone operators were displaced by switching systems 100 years ago, they branched into new areas like directory assistance and customer service. Similar transitions happened in printing plants, branch banks, and elsewhere as new technologies transformed the workplace.
What is new is the dizzying pace of change with AI and the sense that this time the stakes are higher. So don’t be surprised by it; be ready.
Nurture the technologist within
A good starting point for many people is to raise their AI IQ by getting hands-on experience with generative-AI tools like ChatGPT, Gemini, Claude, or Perplexity. I recently tinkered with text-to-image creation, and I’ve experimented with using gen AI as a personal coach. Once we’ve chalked up these types of rudimentary learnings, the next steps into things like agentic AI will feel more familiar.
Another suggestion: Try to foresee where and how AI will impact your profession and industry. Design and content creation are already in the throes of AI disruption. Customer support is another major area of activity. Likewise in manufacturing, financial services, and health care. The more we can anticipate these AI-driven changes, the better prepared we can be.
Today’s college graduates may feel especially vulnerable, having spent the past few years learning a vocation only to confront a topsy-turvy job market. One way to adapt is to embrace the principle of continuous learning. For Gen Z, who are digital natives, that may mean becoming early adopters of AI technologies, which can give them an edge.
Of course, the challenge of AI readiness isn’t limited to entry-level positions. Across the board, skills for “AI-exposed” jobs are changing 66% faster than other jobs, according to PwC. So even experienced workers and managers need to think about ways to advance their AI know-how. And here’s an upside: AI-powered jobs pay more.
Bite-sized learning breaks
How do people stay sharp in the AI-driven workplace? Don’t underestimate the power of left-brain thinking. Valuable skills include data fluency, AI literacy, complex problem solving, and critical thinking, according to Harvard University’s Division of Continuing Education.
AI certifications can be a way to come up to speed on complex technologies such as APIs, machine learning, language models, and frameworks. However, not everyone has the time or budget for these programs. Harvard recommends self-directed development through online learning, project-based learning, and even “micro-learning” with bite-sized content during breaks or between tasks.
At Informatica, we’re doing everything we can to help employees quickly ascend the AI learning curve. Our IT organization developed an AI literacy class that has been widely attended. That’s given us a common vocabulary, so terms like LangChain (an open-source framework), retrieval augmented generation (RAG), and vectors (an emerging data type) are more widely understood across teams and departments.
We also created an AI Center of Excellence to establish best practices and synergies across departments and ensure that legal, privacy, and security issues are top of mind for everyone.
Human skills still matter
As these first-hand experiences show, AI learning and skills development happen best when employees take some of the responsibility on themselves, yet within an organizational culture that values, encourages, and provides career-building opportunities.
This imperative—for both individual and business development—is here and now. LinkedIn, based on analysis of its members, determined that 70% of the skills in most jobs will change by 2030, driven by AI.
That doesn’t mean we all need advanced degrees in AI. LinkedIn also found that “human skills”—things like curiosity, creativity, communication, and courage—may matter the most in today’s workplace.
Frankly, that’s wonderful to see because it signals that the future of work will be an eclectic mix of human skills and AI skills. So, while it’s important to recognize that we must raise our AI proficiencies, it’s equally vital that we bring our best versions of ourselves to work every day.
The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.
Read more:
| 2025-06-25T00:00:00 |
2025/06/25
|
https://fortune.com/2025/06/25/careers-ai-future-work/
|
[
{
"date": "2025/06/25",
"position": 40,
"query": "future of work AI"
}
] |
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] |
US Robot Density in Car Industry Ranks 7th Worldwide
|
US Robot Density in Car Industry Ranks 7th Worldwide
|
https://ifr.org
|
[
"Ifr International Federation Of Robotics"
] |
Automation allows manufacturers to nearshore production without sacrificing cost efficiency. 5 – Robots Addressing Labor Shortage. The global manufacturing ...
|
The World Robotics 2021 Industrial Robots report shows a record of 3 million industrial robots operating in factories around the world – an increase of 10%. Sales of new robots grew slightly at 0.5% despite the global pandemic, with 384,000 units shipped globally in 2020. This trend was dominated by the positive market developments in China, compensating the contractions of other markets. This is the third most successful year in history for the robotics industry, following 2018 and 2017.
“The economies in North America, Asia and Europe did not experience their Covid-19 low point at the same time,” says Milton Guerry, President of the International Federation of Robotics. “Order intake and production in the Chinese manufacturing industry began surging in the second quarter of 2020. The North American economy started to recover in the second half of 2020, and Europe followed suit a little later.”
“Global robot installations are expected to rebound strongly and grow by 13% to 435,000 units in 2021, thus exceeding the record level achieved in 2018,” reports Milton Guerry. “Installations in North America are expected to increase by 17% to almost 43,000 units. Installations in Europe are expected to grow by 8% to almost 73,000 units. Robot installations in Asia are expected to exceed the 300,000-unit mark and add 15% to the previous year’s result. Almost all Southeast Asian markets are expected to grow by double-digit rates in 2021.”
Asia, Europe and the Americas - overview
Asia remains the world’s largest market for industrial robots. 71% of all newly deployed robots in 2020 were installed in Asia (2019: 67%). Installations for the region´s largest adopter China grew strongly by 20% with 168,400 units shipped. This is the highest value ever recorded for a single country. The operational stock reached 943,223 units (+21%). The 1-million-unit mark will be broken in 2021. This high growth rate indicates the rapid speed of robotization in China.
Annual shipments by country © World Robotics
Japan remained second to China as the largest market for industrial robots, though the Japanese economy was hit hard by the Covid-19 pandemic: Sales declined by 23% in 2020 with 38,653 units installed. This was the second year of decline following a peak value of 55,240 units in 2018. In contrast to China, demand from the electronics industry and the automotive industry in Japan was weak. Japan’s operational stock was 374,000 units (+5%) in 2020.
The outlook for the fiscal year 2021 is positive with an expected GDP growth rate of 3.7%. The Japanese robotics market is expected to grow by 7% in 2021 and continue to do so by 5% in 2022. Independent of the domestic market for robotics, the major export destinations will secure demand for Japanese robotics. Even though a major share of production today takes place directly in China, 36% of the Japanese exports of robotics and automation technology were destined for China. Another 22% of the exports were shipped to the United States.
The Republic of Korea was the fourth largest robot market in terms of annual installations, following Japan, China and the US. Robot installations decreased by 7% to 30,506 units in 2020. The operational stock of robots was computed at 342,983 units (+6%).
The export-oriented economy has coped with the pandemic remarkably well so far. In 2020, GDP was down by just 1%, and for 2021 and 2022 strong GDP growth of +4% and +3% is expected. The electronics industry and the semiconductor industry, in particular, are investing heavily. An investment support program launched in May 2021, will further boost investment in machinery and equipment. The demand for robots both from the electronics industry as well as from the automotive suppliers is expected to grow substantially by 11% in 2021 and by 8% annually on average in the next years following.
Europe
Industrial robot installations in Europe were down by 8% to 67,700 units in 2020. This was the second year of decline, following a peak of 75,560 units in 2018. Demand from the automotive industry dropped by another 20%, while demand from the general industry was up by 14%.
Germany, which belongs to the five major robot markets in the world (China, Japan, USA, Korea, Germany) had a share of 33% of the total installations in Europe. Italy followed with 13% and France with 8%.
The number of installed robots in Germany remained at about 22,300 units in 2020. This is the third highest installation count ever - a remarkable result given the pandemic situation that dominated 2020. The German robotics industry is recovering, driven by strong overseas business. Robot demand in Germany is expected to grow slowly, mainly supported by demand for low-cost robots in the general industry and outside of manufacturing.
In the United Kingdom, industrial robot installations were up by 8% to 2,205 units. The automotive industry rose by 16% to 875 units - representing 40% of the installations in the UK. The food and beverage industry almost doubled their installations from 155 units in 2019 to 304 units in 2020 (+96%). The food and beverage industry had a high share of foreign workers, often from Eastern Europe, is facing a massive labor shortage. With continued Covid-19-related travel restrictions as one reason and Brexit another, the demand for robots in the United Kingdom is expected to grow strongly at two-digit percentage rates in 2021 and 2022. [struggling to connect] The modernization of the UK manufacturing industry will be boosted by a massive tax incentive. The newly installed 2,205 units in the UK are about ten times less than the shipments in Germany (22,302 units), about four times less than in Italy (8,525 units) and less than half the number in France (5,368 units).
North America
The USA is the largest industrial robot user in the Americas, with a share of 79% of the region´s total installations. It is followed by Mexico with 9% and Canada with 7%.
New installations in the United States slowed down by 8% in 2020. This was the second year of decline following eight years of growth. While the automotive industry demanded substantially fewer robots in 2020 (10,494 units, -19%), installations in the electrical/electronics industry grew by 7% to 3,710 units. The operational stock in the United States increased by 6% CAGR since 2015.
The overall expectations for the North American market are very positive. A strong recovery is currently in progress and the return to pre-crisis levels of industrial robot installations can be expected for 2021. Robot installations are expected to grow by +17% in 2021. A post-crisis boom will create additional growth at low double-digit rates 2022 and beyond.
Shipments by industries © World Robotics
Outlook
The “boom after crisis” is expected to fade slightly in 2022 on a global scale. From 2021 to 2024, average annual growth rates in the medium single-digit range are expected. Minor contractions may occur as a statistical effect, ‘catch-up’ occurs in 2022 or 2023. If this anomaly takes place, it will not break the overall growth trend. The notable mark of 500,000 units installed per year worldwide is expected to be reached in 2024.
World Robotics 2021 edition
Orders for World Robotics 2021 Industrial Robots and Service Robots reports can be placed online. Further downloads on the content are available here.
Video
FACTS ABOUT ROBOTS on our YouTube channel.
Downloads
Graphs, presentations and press releases on the German, Japanese, Chinese, Korean, US, UK, Swedish and Spanish/Brazilian/Latin American market are available below. All graphs are also part of the presentations.
Press Contact
Carsten Heer
phone +49 (0) 40 822 44 284
E-Mail: [email protected]
#WorldRobotics
| 2025-06-25T00:00:00 |
https://ifr.org/news
|
[
{
"date": "2025/06/25",
"position": 82,
"query": "job automation statistics"
}
] |
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|
Artificial intelligence isn't hurting workers—It might be helping
|
Artificial intelligence isn’t hurting workers—It might be helping
|
https://www.sciencedaily.com
|
[] |
A new study provides early evidence suggesting AI exposure has not, thus far, caused widespread harm to workers' mental health or job satisfaction.
|
As artificial intelligence reshapes workplaces worldwide, a new study provides early evidence suggesting AI exposure has not, thus far, caused widespread harm to workers' mental health or job satisfaction. In fact, the data reveals that AI may even be linked to modest improvements in worker physical health, particularly among employees with less than a college degree.
But the authors caution: It is way too soon to draw definitive conclusions.
The paper, "Artificial Intelligence and the Wellbeing of Workers," published June 23 in Nature: Scientific Reports, uses two decades of longitudinal data from the German Socio-Economic Panel. Using that rich data, the researchers -- Osea Giuntella of the University of Pittsburgh and the National Bureau of Economic Research (NBER), Luca Stella of the University of Milan and the Berlin School of Economics, and Johannes King of the German Ministry of Finance -- explored how workers in AI-exposed occupations have fared in contrast to workers in less-exposed roles.
"Public anxiety about AI is real, but the worst-case scenarios are not inevitable," said Professor Stella, who is also affiliated with independent European bodies the Center for Economic Studies (CESifo) and the Institute for Labor Economics (IZA). "So far, we find little evidence that AI adoption has undermined workers' well-being on average. If anything, physical health seems to have slightly improved, likely due to declining job physical intensity and overall job risk in some of the AI-exposed occupations."
Yet the study also highlights reasons for caution.
The analysis relies primarily on a task-based measure of AI exposure -- considered more objective -- but alternative estimates based on self-reported exposure reveal small negative effects on job and life satisfaction. In addition, the sample excludes younger workers and only covers the early phases of AI diffusion in Germany.
"We may simply be too early in the AI adoption curve to observe its full effects," Stella emphasized. "AI's impact could evolve dramatically as technologies advance, penetrate more sectors, and alter work at a deeper level."
Key findings from the study include:
No significant average effects of AI exposure on job satisfaction, life satisfaction, or mental health.
Small improvements in self-rated physical health and health satisfaction, especially among lower-educated workers.
Evidence of reduced physical job intensity, suggesting that AI may alleviate physically demanding tasks.
A modest decline in weekly working hours, without significant changes in income or employment rates.
Self-reported AI exposure suggests small but negative effects on subjective well-being, reinforcing the need for more granular future research.
Due to the data supply, the study focuses on Germany -- a country with strong labor protections and a gradual pace of AI adoption. The co-authors noted that outcomes may differ in more flexible labor markets or among younger cohorts entering increasingly AI-saturated workplaces.
"This research is an early snapshot, not the final word," said Pitt's Giuntella, who previously conducted significant research into the effect of robotics on households and labor, and on types of workers. "As AI adoption accelerates, continued monitoring of its broader impacts on work and health is essential. Technology alone doesn't determine outcomes -- institutions and policies will decide whether AI enhances or erodes the conditions of work."
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.sciencedaily.com/releases/2025/06/250623072753.htm
|
[
{
"date": "2025/06/23",
"position": 20,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/23",
"position": 16,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/23",
"position": 17,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/23",
"position": 4,
"query": "artificial intelligence worker well-being"
}
] |
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How to Pay Yourself in an S Corp (Salary vs Distribution Explained)
|
How to Pay Yourself in an S Corp (Salary vs Distribution Explained)
|
https://freedomtaxaccounting.com
|
[] |
You will be filing payroll tax forms like the 941, W-2s, W-3s, etc. And no, you can't just take money out of the business without paying ...
|
How do S Corporation owners pay themselves legally and efficiently? In this video, we break down the difference between salary and distribution, and explain exactly how to pay yourself as an S Corp owner, while staying compliant with IRS rules.
Whether you’re a small business owner, freelancer, or run an LLC taxed as an S Corp, understanding how to balance W-2 wages and shareholder distributions is crucial for tax savings and legal compliance.
🔍 In this video, you’ll learn:
What the IRS requires for reasonable compensation
How to calculate your S Corp salary
How distributions work and when they’re taxed
Salary vs. distribution: What’s better?
Common mistakes S Corp owners make
Tips to avoid IRS red flags and audits
💼 This video is perfect for:
S Corporation owners
LLCs taxed as S Corps
Small business owners
Entrepreneurs and tax-savvy professionals
📞 Need expert help with your S Corp setup or payroll strategy?
Click here to schedule a consultation with our team with Carmen Huertas.
☎️ CONTACT US
Phone: 407-344-1012
Email: [email protected]
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Explore our range of services tailored to meet your needs:
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⚠️ DISCLAIMER
This video is intended for education purposes and should not be taken as legal, financial or tax advice. You should consult with a professional about your unique situation before acting on anything discussed in these videos. Freedomtax Accounting and Multiservices Inc., Freedom Insurance Financial Inc., Freedom Realty Source Inc., and Freedom Immigration International Inc. are providing educational content to help small business owners and individuals become more aware of certain issues and topics, but it cannot give blanket advice to a broad audience. Things are always changing, therefore, this channel may not contain the most up-to-date information. Neither Freedomtax Accounting and Multiservices Inc., Freedom Insurance Financial Inc., Freedom Realty Source Inc., and Freedom Immigration International Inc. nor its members can be held liable for any use or misuse of this content.
TRANSCRIPTION
Congratulations, you are on your way to reducing your tax liability. Your election has been approved and your business is now an S-Corp. How does this change things when it comes down to paying yourself and other officers in the business? In this video, that’s what we’re going to be diving into in order to shed some light on this topic.
Our dear viewers, welcome back to the channel. If you’re an officer or owner of an S-Corporation, you’re probably wondering or you should be wondering, how am I supposed to pay myself? This is a super important topic because if you do it wrong, the IRS could come knocking. In this video, we’re going to attempt to explain to you what the IRS expects from S-Corp officers, what reasonable compensation means, how to pay yourself properly through payroll, and how to combine salary with distributions.
First of all, let’s clarify one thing. When you form an S-Corporation, you’re not just the business owner anymore. You’re also considered to be an employee of your company if you’re actually working in it and you’re not a passive owner.
According to the IRS, if you’re providing services to your S-Corp, then you must pay yourself a reasonable salary through payroll, just like you would pay any other employee. This means that your pay will be subject to the withholding of federal and state income taxes. You will be subject to payroll taxes like Social Security and Medicare.
You will be filing payroll tax forms like the 941, W-2s, W-3s, etc. And no, you can’t just take money out of the business without paying yourself a proper salary first. Why is that? Well, because the reason S-Corp tax treatment is so attractive to begin with is because the profits are not subject to self-employment taxes.
In other words, you save 15.3% on your profits. But the idea of the strategy is not for you to evade these taxes altogether, but rather so you only pay them on your salary and not on all of the business profits unnecessarily. The IRS wants to make sure that you’re not avoiding employment taxes by only taking owner distributions.
In this video, we are only going to address the owner’s salary or salaries. If you have people working in your business that fall into the definition of employee and not subcontractors, then they need to be on payroll as well. That’s actually a good idea for another video.
What’s the difference between an employee and a subcontractor? I’ll keep that in mind. Now, let’s talk about the biggest question. What exactly counts as reasonable compensation? Unfortunately, the IRS doesn’t give a specific number, but they do give us guidelines.
A reasonable salary should be what you would pay somebody else that you hire to do your job in your business. Here are some factors you should consider. What are your duties and responsibilities? What’s your experience and your qualifications? What time and effort do you put into the business? And what similar businesses pay for similar roles in your area? The company’s gross income and profitability is another thing you should consider.
So let’s take a look at an example. Say you’re running an accounting office and you’re doing all the work yourself, and someone in your role typically earns maybe about $90,000 a year. Then that means an $18,000 annual salary isn’t going to cut it.
There have been court cases where the owners were penalized for taking unreasonably low salaries and large distributions instead, because the IRS knows the game. We have seen many audits over this. I specifically remember a physician that we were warning for years that he needs to take a reasonable salary.
It was required by law. We warned the individual that a physician, a $20,000 annual salary was way too low with a business netting over $200,000 in profits. So think about it.
Payroll taxes on a $20,000 salary is $3,060. The salary should have been more like $100,000, which would pay $15,300 in payroll taxes. That would still leave around $90,000 of the profits that are not subject to payroll taxes.
So you’d still be saving $13,770 even if you paid yourself a reasonable salary. You better believe the IRS will pursue that difference. So it’s better to play it safe and, well, be reasonable.
Pay yourself fairly. Now, here’s where S-Corps can really be valuable. After you establish and pay yourself a reasonable salary, you can take distributions of the remaining profits.
And those are not subject to the self-employment tax. And that’s where you save 15.3%. This is the main tax benefit of being an S-Corp owner. So the usual approach is you run payroll for yourself, whether it’s monthly, bi-weekly, whatever you choose.
You withhold taxes and pay employer taxes. Take distributions of the remaining profit after your salary and expenses. So let’s take a look at another example.
Say your S-Corp makes $120,000 in profit. So you pay yourself a $60,000 salary. The remaining $60,000 can be taken as owner distributions that are not subject to the payroll tax.
This saves you thousands in taxes legally, but only if you set the reasonable salary first. So to pay yourself correctly, you’re going to need to set up a payroll account. That means registering with the IRS and state tax agencies.
You’re going to have to file Form 941 quarterly, and this is to report federal payroll taxes. You’re going to have to issue yourself a W-2 at the end of the year. And using payroll like software or a service like Gusto or ADP, QuickBooks, there’s a lot of companies out there, can really help the process.
It takes a bit of a setup, but once it’s in place, it keeps you compliant and it helps you avoid tax penalties. And especially if you’re currently doing it all manually or as a one-person operation, using a payroll service can really simplify things. And even more so if you have multiple employees.
Okay, now, so here are some common mistakes S-Corp owners make. You only take distributions and you skip the payroll altogether. You set an unrealistically low salary for yourself.
Paying contractor payments to themselves instead of running the payroll. Missing payroll tax filings. All of these things can trigger IRS audits and back taxes plus the penalties.
So if you’re unsure about what your salary should be, you should consult a CPA, an accountant, or use industry compensation data sites like Glassdoor or the Bureau of Labor Statistics. So let’s do a quick recap. If you are working actively in your S-Corp, you must pay yourself a salary.
You may get away with not doing so for a few years, but it will catch up to you. That salary must be reasonable and based on your role and industry. Once that’s done, you can take tax redistributions of the remaining profits and always use payroll software or a service to stay compliant.
And when in doubt, talk to a tax professional. Paying yourself the right way protects your business, keeps the IRS happy, and helps you take full advantage of the S-Corp tax benefits. So thank you for watching once again.
If you found this video helpful, please don’t forget to like, subscribe, and leave any questions that you have in the comments. And of course, share it to anybody who you think would benefit from it. See you guys next time.
Summary: How to Pay Yourself in an S Corp (Salary vs Distribution)
When your business elects to be taxed as an S-Corporation, it unlocks a powerful strategy for reducing tax liability—but only if handled correctly. In this video, Tax Accounting Advisor Carmen Huertas explains how S-Corp owners must properly pay themselves a reasonable salary through payroll and then take distributions from the remaining profits.
A common mistake is skipping payroll entirely and taking only distributions, which can trigger IRS audits and lead to penalties. According to the IRS, if you’re actively working in your S-Corp, you must be treated as both owner and employee. That means issuing yourself a salary that reflects your job duties, industry norms, experience, and time commitment. Only after that can you take tax-free distributions of profit.
For example, if your S-Corp earns $120,000 and you pay yourself a $60,000 salary, the other $60,000 can be taken as distributions—saving you 15.3% in payroll taxes on that second half. But if your salary is too low, you risk audit exposure.
Carmen outlines steps for staying compliant, including setting up payroll with IRS/state accounts, using software like Gusto or QuickBooks, filing Form 941 quarterly, and issuing W-2s. She also identifies common red flags like paying yourself as a contractor or setting salaries that are too low.
Ultimately, paying yourself the right way protects your business and helps you enjoy the full benefits of S-Corp taxation. Consult a CPA and use compensation benchmarks to determine the right numbers for your role.
Learn More
About Freedom Tax Accounting
At Freedom Tax Accounting, we specialize in helping individuals, entrepreneurs, and small business owners across Central Florida—and beyond—maximize their financial potential with smart, compliant strategies. Since day one, our mission has been to provide honest, expert tax and accounting services rooted in integrity, faith, and client-first values.
Whether you’re forming an S-Corporation, navigating payroll setup, or planning your year-round tax strategy, our experienced advisors are here to guide you every step of the way. Located in Kissimmee, Florida, we serve clients locally and nationwide with personalized attention and professional expertise you can trust.
Ready to get your S-Corp compensation strategy right?
📞 Call us at 407-344-1012 or visit freedomtaxaccounting.com to schedule your consultation today.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://freedomtaxaccounting.com/how-to-pay-yourself-in-an-s-corp-salary-vs-distribution-explained/
|
[
{
"date": "2025/06/25",
"position": 85,
"query": "corporate taxes wage distribution"
}
] |
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] |
Will the U.S. economy enter the “R” zone this year?
|
Will the U.S. economy enter the “R” zone this year?
|
https://business.bankofamerica.com
|
[] |
Chances of a recession are fading, says the Chief Investment Office. ... equity securities include the possibility that the value of the ...
|
Important Disclosures and Information
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Investments have varying degrees of risk. Some of the risks involved with equity securities include the possibility that the value of the stocks may fluctuate in response to events specific to the companies or markets, as well as economic, political or social events in the U.S. or abroad. Bonds are subject to interest rate, inflation and credit risks. Treasury bills are less volatile than longer-term fixed income securities and are guaranteed as to timely payment of principal and interest by the U.S. government. Investments in a certain industry or sector may pose additional risk due to lack of diversification and sector concentration. There are special risks associated with an investment in commodities, including market price fluctuations, regulatory changes, interest rate changes, credit risk, economic changes and the impact of adverse political or financial factors.
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Opinions are as of the date of these articles and are subject to change.
This information should not be construed as investment advice and is subject to change. It is provided for informational purposes only and is not intended to be either a specific offer by Bank of America, Merrill or any affiliate to sell or provide, or a specific invitation for a consumer to apply for, any particular retail financial product or service that may be available.
These materials have been prepared by Bank of America Institute and are provided to you for general information purposes only. To the extent these materials reference Bank of America data, such materials are not intended to be reflective or indicative of, and should not be relied upon as, the results of operations, financial conditions or performance of Bank of America. Bank of America Institute is a think tank dedicated to uncovering powerful insights that move business and society forward. Drawing on data and resources from across the bank and the world, the Institute delivers important, original perspectives on the economy, sustainability and global transformation. Unless otherwise specifically stated, any views or opinions expressed herein are solely those of Bank of America Institute and any individual authors listed, and are not the product of the BofA Global Research department or any other department of Bank of America Corporation or its affiliates and/or subsidiaries (collectively Bank of America). The views in these materials may differ from the views and opinions expressed by the BofA Global Research department or other departments or divisions of Bank of America. Information has been obtained from sources believed to be reliable, but Bank of America does not warrant its completeness or accuracy. Views and estimates constitute our judgment as of the date of these materials and are subject to change without notice. The views expressed herein should not be construed as individual investment advice for any particular person and are not intended as recommendations of particular securities, financial instruments, strategies or banking services for a particular person. This material does not constitute an offer or an invitation by or on behalf of Bank of America to any person to buy or sell any security or financial instrument or engage in any banking service. Nothing in these materials constitutes investment, legal, accounting or tax advice.
| 2025-06-25T00:00:00 |
https://business.bankofamerica.com/en/resources/economic-market-briefs
|
[
{
"date": "2025/06/25",
"position": 65,
"query": "economic recession equity in the workplace"
},
{
"date": "2025/06/25",
"position": 11,
"query": "economic recession equity in the workplace"
}
] |
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Top AI Tools for Employee Wellbeing and Work-life Balance
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Top AI Tools for Employee Wellbeing and Work-life Balance
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https://www.valuex2.com
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Here are the best AI tools that ensure employee wellbeing and work-life balance, which organizations can utilize to establish a happy and efficient work ...
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Reading Time: 6 minutes
Here are the best AI tools that ensure employee wellbeing and work-life balance, which organizations can utilize to establish a happy and efficient work culture.
An environment where employees work and feel valued, supported, and empowered is no longer a dream. Organizations that have achieved this exist. Such organizations are equipped with the tools and resources needed to succeed. Consider doing personal research, you will find that the employees in such organizations can maintain a healthy balance between work and their personal life. Thank you Artificial Intelligence (AI)! Why are we thanking AI? Read on, you’ll get to know by yourself.
Why Employee Wellbeing and Work-Life Balance Matter
Are you part of an organization? Do you know how crucial a healthy work-life balance and happy employees are to a company? Together, we can comprehend the significance of AI development before we take you on this adventure. In 2023, the Society for Human Resource Management (SHRM) conducted a study and reported that 74% of employees reported feeling worn out and unmotivated. This resulted in a drop in production. However, the problems don’t stop there; they can also lead to greater rates of employee turnover and increased absenteeism inside the company.
So, for an employer to avoid such challenges, they must prioritise employee wellbeing. They will notice a jump in employee engagement, higher retention rates, and a happier, more productive staff.
What is AI and How is it Helping?
AI is a well-structured and developed intelligence machine that can perform specific human functions making it simpler to achieve the end results of the function, for better understanding, here is a guide for you. So, you may be asking yourself, how does AI impact the realm of employee wellbeing and work-life balance? Below, are the top AI tools that revolutionize how companies support their workforce by transforming HR strategies and empowering employees.
Top AI Tools Championing Employee Wellbeing
1. Lyra Health
Lyra Health is an AI-driven tool that provides mental and behavioural care for employees. This tool analyzes data (roles at work, demographics, and self-reported well-being) to come up with the desired most appropriate response. For example, Lyra can recommend mental health resources, therapy, coaching, and medication management. Employees have unique needs; the individual focus of AI tools allows them to address the different needs.
Further, it can also integrate with employee assistance programs (EAPs), simplifying the ability of companies to provide thorough mental health support. Isn’t that enough reason to make Lyra Health your top tool for promoting employee well-being?
2. Ginger
This is a tool that incorporates natural language processing to understand employee conversation and pick out potential signs of stress, depression, or even anxiety. Detecting such issues early in an employee’s work life enables the organization to control the rate of occurrence of more serious mental health-related problems.
Ginger does not rest; it offers 24/7 access to mental health support services that include text-based coaching and video therapy sessions. For sure Ginger is a must-have tool for most organizations. It is a useful tool that can preserve employee mental health because of its proactive approach and accessibility.
3. WYSA
WYSA is a chatbot designed to provide mental health support and resources. Employees can interact with this tool and learn more about mental health conditions, gain access to coping strategies, and find support groups. The chatbot has a friendly user interface with a conversational layout making it easy for employees to seek out help without the fear of being overwhelmed.
WYSA offers a lot. It has techniques for managing stress, anxiety, and depression, for example; cognitive-behavioural therapy (CBT) and mind-related exercises, this makes it a good tool for building a workplace wellness program.
4. Fitbit
Tools come in different forms, Fitbit, is a famous wearable device that uses AI to track down the activities of its users and provides personalized fitness recommendations. By connecting the Fitbit data with employee wellness programs, an organization can generate fitness challenges, rewards, and coaching to improve physical activity and improve overall well-being. Fitbit has detailed insights on physical activities, sleep, and heart rate for easy tracking of individual fitness goals. Stunningly, it can sync with other health and wellness apps making it versatile for encouraging a healthier lifestyle among workers.
5. Mint
Mint is a super handy personal finance management tool that uses AI to specifically help you keep track of spending. You can also set a spending budget and reach financial goals. When an organization uses Mint and connects it to employee benefits programs, it can provide resources that can be used to lower financial stress and boost employee well-being.
What does Mint offer?
Offering financial advice Alerts for unusual spending Tools for managing debts
Due to its user-friendly interface and financial planning features, they make Mint a great friend in enhancing employee financial health.
6. Workday: workload optimization
Being a cloud-based human capital management platform, Workday uses AI to analyze employee workloads and identify potential burnout risks. How does Workday help prevent burnout and improve work-life balance? Through optimizing how tasks are allocated among employees and providing tools for time management, yes that’s how!
Need help turning insights into action? Our deep dive on top AI tools for employee engagement and retention shows how to translate wellbeing data into programmes that keep people thriving.
The Agility Advantage!
We have looked at the power of AI but let us not forget the magic Agility holds. Agile methodologies such as Scrum and Kanban, are changing the game. They have proven to be better options compared to the traditional methodologies. They tend to emphasize flexibility, collaboration, and iterative progress. The agile approach aligns perfectly with the evolution of AI tools and employee needs.
Traditional methodologies, waterfall, are not only linear and rigid, but they also struggle to adapt to the changing needs of the workforce. Check out the Agile vs Waterfall methodology to understand the differences between both and what each has to offer.
Implementing Agile HR practices ensures your organization can:
React quickly to the evolving demands and preferences of your employees. Easily adjust to and incorporate new AI tools. Make constant improvements to your HR strategy using feedback and real-time data.
Where AI Meets Agile
Agile frameworks—Scrum, Kanban, and the like—thrive on rapid feedback and continuous improvement. AI adds the missing piece: data-driven foresight. If you’re also upgrading comms platforms, browse our round-up of AI tools for employee communications to keep every voice heard, wherever your teams sit.
Fun fact: As stated in the APA 2025 Work in America Survey, employees who reported being listened to were 3× as likely to report wellbeing scores in the top quartile, showing that a combination of smarter tools plus humane practices truly pays off.
Train with ValueX2 Today
At ValueX2, we have a team of well-trained dedicated instructors who can nurture your Agile qualities and assist you become better. We have an expanded catalogue of well-known agile certification courses that you need to look at. For example, our Agile HR Certification Course can provide knowledge on Agile HR principles and their importance in the present time workplace. Training with ValueX2 ensures you can better your strategic human resource management skills and discover a more adaptable, efficient HR team.
Conclusion
Embracing these AI tools and Agile methodologies can change your HR strategy to foster a work environment that prioritizes employee well-being and work-life balance. Take your time and look at these innovative solutions. You will be able to come up with a supportive and flexible environment that empowers your employees to succeed.
FAQs: Enhancing Employee Wellbeing and Work-life Balance with AI
Q: How can AI improve work-life balance?
AI can improve the work-life balance by trying to address the emotional needs of employees, and managing how tasks are to be allocated and scheduled. By controlling these aspects, then AI will have helped you conquer burnout occurrence and reduce stress as a result of work. The end result will be a good workforce that has achieved a work-life balance.
Q: How is AI used in good health and Wellbeing?
AI technologies enable remote patient monitoring, highly targeted treatment administration, and the assimilation and analysis of vast amounts of medical data when combined with networked equipment. These capabilities improve general health outcomes and contribute to better well-being for all employees.
Q: What is the best AI for HR professionals?
The Effy AI is among the best free AI tools for HR performance management. What does it do? It improves team productivity and engagement through its 360 response and performance capabilities that simplify the worker’s review process.
Q: How can AI improve workplace efficiency?
At the workplace, bringing in AI to help run things, can be of great benefits, such as enhanced productivity and employee engagement. Here’s what AI tends to do:
Makes the tasks automated Offers personal learning Provides awareness into morale and efficiency
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.valuex2.com/top-ai-tools-for-employee-wellbeing-and-work-life-balance/
|
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"date": "2025/06/25",
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"query": "artificial intelligence worker well-being"
},
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"date": "2025/06/25",
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Geopolitical disruption and the future of work: what does this mean ...
|
Geopolitical disruption and the future of work: what does this mean for employers?
|
https://www.lewissilkin.com
|
[
"James Davies Alessandro De Arcangelis"
] |
So-called right wing populist parties face a conflict between traditional right-wing deregulatory instincts and the interests of their working- ...
|
For years, surveys have ranked technology as the most significant factor shaping the world of work. Recently, however, geopolitics has surged up the agenda, driven by conflict, rising populism, and trade-related tensions.
Growing challenges to globalisation and weakened international trade relationships are forcing businesses to rethink their strategies, workforce planning, and operations. Meanwhile, domestic politics have also become more volatile, with traditional centre-left and centre-right parties facing competition from populist movements that defy conventional ideological left/right labels and often challenge existing policies around employment, migration, and diversity.
Our panel explored these trends through three case studies, illustrating how employers can take steps to prepare for rapidly shifting policy landscapes, anticipate new legal obligations, and support their people through uncertainty, while safeguarding company culture and ensuring workforce resilience.
Canada: trade, tariffs, and people impact
The first case study focused on Canada, where the Trump administration’s trade policies have created an uncertain environment for businesses. Sonia Regenbogen, Partner at Toronto-based Mathews, Dinsdale & Clark LLP, Ius Laboris’ Canadian member firm, underscored the deep economic ties between Canada and the United States, and how the imposition of steep tariffs on steel, aluminium, and other goods has tested Canadian employers’ resilience.
The US tariffs’ impact is already clear: they have driven up costs and dampened confidence across key sectors, with knock-on effects for jobs and investment. In response, the Canadian government has introduced targeted support packages for affected industries and strengthened skills training programmes at both federal and provincial levels. Ontario, for instance, recently introduced legislation allowing for extended temporary layoffs and additional career transition support to help workers cope with the disruption.
This highlights the need for businesses to prepare for sudden shocks. Stress-testing exposure to geopolitical risks can help organisations adjust their workforce plans and business strategies as circumstances change. Close collaboration with government-backed programmes can also retrain workers and keep skills up to date if redundancies or restructuring become unavoidable. In this context, investment in employees’ cross-training and upskilling is a practical way to build the flexibility that companies may need as they pivot to new markets or shift their service offerings.
Italy: populist government and employment policy
Valeria Morosini, Partner at Toffoletto De Luca Tamajo, Ius Laboris’ Italian member firm, in Milan, reflected on how the past three years under a populist government have shaped Italy’s employment landscape, and on what this experience can teach employers elsewhere. Contrary to expectations that a right-wing populist party might overhaul worker protections or defy European regulations, the Fratelli d’Italia (Brothers of Italy) administration has taken an unexpectedly cautious and pragmatic approach.
Rather than pursuing sweeping reforms, it has opted to pass modest legislation focusing on narrow administrative matters, such as probationary periods and resignation procedures. Union relations have been left largely undisturbed, and traditionally controversial topics, such as minimum wage, have been kept off the table. Similarly, in other areas often marked by an equally polarising rhetoric, such as DEI and ESG, the government has left existing frameworks intact.
The Italian example demonstrates that political branding doesn’t always predict policy action, especially in times of global uncertainty. So-called right wing populist parties face a conflict between traditional right-wing deregulatory instincts and the interests of their working-class base support who benefit most from workers’ rights. Under populist leadership, therefore, employment law can remain stable and consistent as populist governments steer clear from major change in any direction.
This gives businesses a valuable window of opportunity to focus on long-term people and culture strategies. That said, while this kind of policy continuity is valuable, it also comes with a reminder not to become complacent. Businesses must therefore keep a close eye on emerging policy and regulatory debates and build flexibility into their workforce strategies, so that they can respond and adapt quickly if future political tides produce more substantive change.
Poland: military tensions and workforce resilience
Finally, Katarzyna Dobkowska, Partner at Raczkowski Law Firm in Warsaw, Ius Laboris’ Polish member firm, discussed the challenges facing Poland, a country at the epicentre of European security concerns, where the war in neighbouring Ukraine has already had a disruptive impact on the labour market and society.
Government initiatives have prompted increased military training and preparedness, creating novel obligations and challenges for employers. While Poland doesn’t have compulsory military service, it requires men (and, in certain professions, women) to attend qualification processes, in exchange for strong legal protections. This means that employees can be called up at short notice, and often for extended periods, yet they cannot be dismissed while they serve or for a period afterwards.
Katarzyna explained that most Polish businesses have coped well thus far, but the overall climate of uncertainty requires unprecedented efforts to build resilience into their people strategies. This includes planning for potential long-term absences by cross-training teams, creating succession plans for key roles, and ensuring that policies can adapt quickly as circumstances evolve. Furthermore, the steady influx of Ukrainian refugees, who have filled vital roles in sectors such as logistics, transport, and hospitality, also highlighted the value of policies that support integration and diversity within the workforce.
The Polish case sends employers a clear message: geopolitical instability can have concrete, and highly disruptive, workforce implications, so it pays to stay ahead of the curve. Forward-thinking employers can’t afford to be reactive. By investing early in resilience, flexibility, and integration, companies operating in volatile contexts will not just manage disruption but also strengthen their long-term competitiveness.
Looking ahead: emerging themes for employers
Reflecting on these three case studies, our panel concluded that navigating unpredictable geopolitical circumstances requires employers to be both proactive and adaptable.
The most resilient organisations put flexibility at the heart of their workforce strategy and planning, spreading risk across geographies, developing contingency plans, and preparing to pivot quickly whenever geopolitical events take them by surprise.
At the same time, responding to ongoing disruption will depend in large part on developing the right skills. Investing in upskilling and cross-training not only equips people to adapt to new technologies and evolving roles, but also reduces dependence on any single expertise, making the entire business more flexible and adaptable. It also reinforces a culture of continuous learning, which empowers employees to embrace change, rather than fear it.
But preparing for geopolitical disruption isn’t just a question of people and skills. Employers must also become more proactive in how they scan and respond to policy and regulation. This could mean dedicating resource to political and legal horizon-scanning, setting up regular briefings with expert advisers, or building internal capabilities so that business can anticipate and adapt quickly when new rules and frameworks emerge. Treating regulatory and geopolitical awareness as a core strategic skill will certainly give leaders more room to manoeuvre as the landscape shifts.
Finally, culture matters. Even the most robust strategies can come undone whenever workplaces fracture along political or social fault lines. These fault lines have grown with the rise of geopolitical conflict and intolerance.
Addressing these challenges means creating safe spaces for dialogue, setting clear expectations for respectful behaviour and communication, and making sure company values support inclusion and understanding. By weaving this kind of cultural resilience into their people strategy, employers will help teams stay united and engaged, even as turbulence grows outside.
As the panel made clear, geopolitical disruption isn’t going away. Rather than waiting for stability to return, the key is to embrace resilience as a core part of workforce strategy. By doing so, HR and business leaders can help their organisations navigate the world of work with confidence, no matter what geopolitical shifts lie ahead.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.lewissilkin.com/our-thinking/future-of-work-hub/insights/2025/06/25/geopolitical-disruption-and-the-future-of-work-what-does-this-mean-for-employers
|
[
{
"date": "2025/06/25",
"position": 8,
"query": "geopolitics diplomacy worker rights"
}
] |
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] |
The Transformative Impact of Artificial Intelligence
|
The Transformative Impact of Artificial Intelligence
|
https://www.agilebusiness.org
|
[
"Agile Business"
] |
Digital workers including AI agents and bots are set to replace certain jobs ... creative – this in turn leads to increased employee retention. We have ...
|
Shaping the Future of Work and Organisational Value Architecture
Artificial intelligence (AI) has evolved from its conception in 1950, when Alan Turing introduced the concept of machine intelligence, to becoming a revolutionary force in modern society. While the term "artificial intelligence" was first coined in 1956, the advent of generative AI tools, such as ChatGPT, has marked a significant turning point, dramatically transforming the way individuals and organisations approach work, creativity, and decision-making.
Unlocking the Business Potential of Generative AI Tools
Generative AI tools have brought unparalleled opportunities to enhance productivity, creativity, and efficiency. By asking targeted questions, users can unlock vast reservoirs of intelligence to augment research, create multimedia content, analyse data, and more; all within a highly accessible and cost-effective framework. These tools have democratised AI capabilities, offering profound benefits at our fingertips.
However, the accuracy of AI-generated results requires careful scrutiny. Generative AI tools, such as ChatGPT, are estimated to have a Mensa IQ score above 100 and this figure continues to improve. The average human IQ score ranges from 90 to 1101. Despite concerns around hallucinations (where AI produces unwarranted or false information) these tools can still serve as powerful aids when their outputs are critically assessed and contextualised.
Understanding the Accuracy Gap Between AI and Human Input
Interestingly, the above research on IQ highlights that management consultants, a profession often relied upon for high-level strategic advice, will sit in the IQ range of 90 to 110 – sometimes operating at a lower level than the GenAI tools2. This comparison underscores the potential of generative AI as a complementary tool, amplifying human capabilities while enabling better-informed decision-making. AI should not replace human judgment but rather serve to augment it, ensuring that both consultants and AI are utilised as resources to guide effective outcomes.
The Development of Ask Milo
With the realisation of AI's transformative potential, tools such as Ask Milo have emerged to enhance user experience. Ask Milo builds on the capabilities of ChatGPT, offering a pre-engineered suite of over 162,000 questions spanning 100 business categories designed to deliver better outcomes. Users can tailor these prompts to their circumstances, execute them using LLaMA 3.1, translate results into almost any language, and export data seamlessly into Word, PDF, or clipboard formats – all in a single platform. Ask Milo acts as a GPS that navigates the vast opportunities presented by ChatGPT's blank canvas, empowering users to ask better questions and achieve quality outputs.
The Growing Influence of AI in the Modern Workforce
AI's integration into work delivery architectures is reshaping the concept of collaboration between humans and machines. Digital workers including AI agents and bots are set to replace certain jobs while simultaneously creating a host of new, enriching opportunities. The World Economic Forum’s Future of Jobs Report 20253 predicts that while 92 million jobs may be displaced by advancing technologies, 170 million new positions will emerge, resulting in a net gain of 78 million jobs globally.
Organisations must embrace this change by adopting strategic capability planning, preparing for the creation of new roles, and equipping employees with the skills needed to thrive in these evolving environments. This process involves fostering a mindset that values adaptability and innovation, ensuring readiness for the opportunities that lie ahead.
The change management required to do this must not be underestimated; it is a significant shift for executives, managers and employees alike.
AI and Human Collaboration
AI augments human capabilities by enhancing prediction, iteration, and adaptation, while humans excel at leadership, empathy, and creativity. Together, humans and machines can train, sustain, and amplify each other’s strengths, fostering an environment of mutual collaboration. The synergy between these entities transforms the workplace, enabling humans to embrace "superpowers" while machines efficiently handle transactional and repetitive tasks.
Redefining Organisational Models for Value Delivery
One of AI’s most profound impacts is its ability to influence how organisations deliver value. Traditional job architectures often impose artificial breaks in the horizontal flow of value, leading to inefficiencies and added costs. While the agile movement sought to address these challenges through value streams and self-regulating teams, its success has been hindered by inflexible organisational structures and command-and-control leadership paradigms.
Organisations now face a choice: to either fit new value architectures into outdated operating models or to create entirely new frameworks optimised for value delivery.
From Traditional Structures to AI Enabled Operating Models
In traditional models:
Managers focus heavily on coordination tasks, such as status meetings and resource negotiations.
Teams remain anchored in hierarchical structures, with insights often siloed within individuals.
Knowledge departs with employees, creating inefficiencies in value flow.
In blue sky models:
AI orchestrates seamless information flows, allowing humans to focus on judgment, trust-building, and client insight.
Expertise flows directly to problems, bypassing silos and political constraints.
Institutional intelligence compounds daily, transforming knowledge into infrastructure.
Value flows directly to teams leveraging AI systems, eliminating coordination layers.
Shifting Focus to Skills-Based Organisations
The shift toward skills-based organisations prioritises capabilities over traditional qualifications and job descriptions.
Companies are identifying the skills necessary to deliver horizontal value and aligning their workforce accordingly. By moving skills to work rather than fitting work into rigid job structures, organisations foster dynamic, cross-skilled teams that deliver more impactful results.
This transition reflects the broader movement away from formal roles into fluid, outcome-oriented models. At the heart of this shift is business agility, which empowers organisations to respond quickly to change, deliver value continuously, and foster innovation across teams. Skills-based approaches align perfectly with this mindset, agile organisations build dynamic, cross-skilled teams that can flex and reconfigure as priorities evolve, replacing conventional cross-functional teams.
Embracing Change with AI and Human Innovation in Sync
AI continues to redefine the landscape of work and organisational value delivery. By embracing the transformative power of AI, fostering human-machine collaboration, and shifting toward skills-based structures, organisations can unlock unprecedented opportunities.
The key lies in adaptability, strategic planning, and the willingness to innovate. Together, humans and machines can thrive, creating richer and more rewarding futures for individuals and organisations alike.
References
1 https://www.visualcapitalist.com/ranked-the-smartest-ai-models-by-iq/
2 https://www.visualcapitalist.com/ranked-the-smartest-ai-models-by-iq/
3 https://www.weforum.org/publications/the-future-of-jobs-report-2025/
| 2025-06-25T00:00:00 |
https://www.agilebusiness.org/resource/article-the-transformative-impact-of-artificial-intelligence.html
|
[
{
"date": "2025/06/25",
"position": 84,
"query": "artificial intelligence creative workers"
}
] |
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|
Fostering Wellbeing at Work in the UK
|
Fostering Wellbeing at Work in the UK
|
https://hcdlab.carey.jhu.edu
|
[] |
The research findings underscore the importance of fostering the right fundamentals for employee thriving, including a psychologically safe and healthy work ...
|
The “Fostering Wellbeing at Work in the UK” report outlines organizational factors that may affect employee well-being in the workplace. The research findings underscore the importance of fostering the right fundamentals for employee thriving, including a psychologically safe and healthy work environment, healthy job designs with built-in safeguards, and a supportive, collaborative culture.
| 2025-06-25T00:00:00 |
https://hcdlab.carey.jhu.edu/resources/fostering-wellbeing-at-work-in-the-uk/
|
[
{
"date": "2025/06/25",
"position": 64,
"query": "economic recession worker well-being"
}
] |
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|
White‑Collar Job Losses Rise, But Don't Blame ChatGPT
|
White‑Collar Job Losses Rise, But Don’t Blame ChatGPT
|
https://www.workandmoney.com
|
[] |
... white-collar jobs, saw a dip in hiring activity in both 2024 and early 2025. In May alone, the sector reported a -0.4% decline in job growth. Meanwhile ...
|
White‑Collar Job Losses Rise, But Don’t Blame ChatGPT
Over the last year, it’s been hard to open a news app or scroll social media without seeing some headline claiming artificial intelligence is gunning for your job. If you’ve been laid off from a desk job recently—or know someone who has—it’s easy to jump to conclusions. But while AI is certainly reshaping workplaces, the real reasons behind the white-collar job cuts of 2024 and 2025 have more to do with corporate strategy, economic tightening, and good old-fashioned belt-tightening than a chatbot coming for your paycheck. After all, ChatGPT did not tell your boss to fire you. It didn’t push the layoff button or delete your role from the org chart. What’s really happening is more complicated and a lot more human.
The Layoff Landscape: It’s Not Just Tech White-collar job cuts aren’t isolated to Silicon Valley, although big tech has definitely been setting the tone. Microsoft, Google, Amazon, and Meta all made headlines this year for laying off thousands of employees, many of them in high-paying roles like software development, sales, human resources, and even middle management. But they weren’t the only ones. Corporations across industries, from media to finance to FMCG, followed suit, often without much public explanation. According to the U.S. Bureau of Labor Statistics, professional and business services, a sector that typically houses white-collar jobs, saw a dip in hiring activity in both 2024 and early 2025. In May alone, the sector reported a -0.4% decline in job growth. Meanwhile, fields like healthcare and construction saw solid gains, with healthcare alone adding 62,000 jobs. So while some corners of the job market are humming along, the corporate cubicle crowd is feeling the pinch.
What’s Actually Behind the Layoffs For now, economists who study labor trends aren’t placing the blame squarely on AI. Cory Stahle, an economist with job search site Indeed, put it plainly: “This is more of an economic story and less of an AI disruption story, at least so far.” Alí Bustamante, from the Roosevelt Institute, agreed, noting that job creation in white-collar roles has been slowing down for years, long before ChatGPT became a household name. In other words, the slowdown was already in motion. What we’re seeing now is a mix of companies adjusting to post-pandemic growth bubbles, trying to cut costs after overhiring in 2021 and 2022, and responding to investor pressure.
The Middle Manager Problem One of the more visible targets of recent layoffs is middle management. A trend that started quietly in 2023 has picked up steam. Meta CEO Mark Zuckerberg even commented on it directly, saying he didn’t want “managers managing managers managing managers.” At companies like Microsoft, Salesforce, and Amazon, mid-level leaders have been quietly thinned out, many replaced by smaller, more autonomous teams with flatter reporting structures. Data from McKinsey shows that nearly half of middle managers spend less than 25% of their time actually managing people. The rest is tied up in reporting, meetings, and process-heavy tasks that aren’t as essential in a streamlined setup. This has made them an easy target during restructuring, and not because AI is writing their performance reviews.
Yes, AI Is In the Room—But It’s Not Running It That’s not to say AI hasn’t played a role at all. It’s just not the boogeyman it’s made out to be. Companies like Amazon and Klarna have been vocal about how they’re using generative AI to increase efficiency, and in some cases, reduce headcount. Amazon CEO Andy Jassy has spoken about using smaller teams powered by AI tools. Klarna’s CEO noted that their company has trimmed its workforce by 40%, thanks in part to AI adoption. AI tools can now handle tasks like data entry, initial drafts of written content, and basic customer support responses. That’s a big help for teams stretched thin. Still, these tools don’t manage projects, build trust with clients, or set strategy. They help with the grunt work, not the big picture. A 2024 report from Indeed backs this up. Researchers found that out of more than 2,800 unique job skills analyzed, fewer than 1% were considered “very likely” to be fully replaced by generative AI. Over two-thirds of those skills were labeled “very unlikely” or “unlikely” to be automated anytime soon.
Specialization, Not Automation, Is the Bigger Deal A lesser-discussed reason behind the white-collar crunch is the growing emphasis on specialization. Job postings increasingly call for experience with specific tools, niche certifications, or expertise in emerging fields like AI ethics or data science. The hiring slowdown is also about roles sitting unfilled because companies don’t want to train up generalists anymore. As one tech recruiter bluntly put it, “Nobody wants to hire someone they have to train for six months.” This shift means many well-qualified workers are now competing for fewer jobs that require much narrower skill sets. While some firms are still shelling out massive salaries to lure elite candidates—like Meta, which offers multimillion-dollar packages to AI researchers—those roles are the exception, not the rule. For the average corporate employee, the path forward looks a lot more competitive. There’s also a psychological shift happening behind the scenes. Post-pandemic optimism gave way to a more cautious mindset as interest rates rose and market growth slowed. Companies that once prioritized “growth at all costs” are now pivoting to efficiency and profitability. That means fewer new roles, slower hiring, and yes, some job cuts that would’ve been unthinkable just a couple of years ago.
| 2025-06-25T00:00:00 |
https://www.workandmoney.com/s/white%E2%80%91collar-job-losses-rise-but-dont-blame-chatgpt/
|
[
{
"date": "2025/06/25",
"position": 50,
"query": "economic recession blue collar workers"
},
{
"date": "2025/06/25",
"position": 100,
"query": "labor regulation white collar workers"
}
] |
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|
Labor & Employment Executive Webinar: Wage & Hour ...
|
Labor & Employment Executive Webinar: Wage & Hour Changes and Making Unions Unnecessary
|
https://www.alston.com
|
[
"View All Contributors"
] |
Please join us for our next Labor & Employment Executive Webinar, where we will provide important updates on wage and hour regulations as well as an outlook ...
|
Please join us for our next Labor & Employment Executive Webinar, where we will provide important updates on wage and hour regulations as well as an outlook on union activity. During the webinar, we will cover the following:
Wage & Hour Changes
Under the new Trump administration, several significant changes have been made to wage and hour regulations, particularly regarding the Fair Labor Standards Act (FLSA), independent contractors, and federal contractors.
In April 2024, the Department of Labor (DOL) issued regulations raising the salary threshold amounts required for the FLSA’s white-collar exemptions. On November 15, 2024, the U.S. Eastern District of Texas vacated and set aside the DOL’s final regulation. The order was initially appealed by the DOL, but on April 24, 2025, the DOL filed a motion to hold the pending appeals in abeyance, noting the agency is reconsidering the rule.
The DOL also recently announced that it is reconsidering the current independent contractor rule under the FLSA.
The Trump administration also issued an executive order undoing a regulation that raised the minimum wage for federal contractors.
Making Unions Unnecessary
Although union membership overall continues to decline, unions remain aggressive. In recent years, unions have been more active and more successful – since 2019, union elections are up 49%, with a 74% win rate for unions. Employers are also seeing many NLRB unfair labor practice charges involving noncompete agreements, claims of retaliation, and unlawful handbook policies. Unions have also shown that they are not afraid of striking – in 2024, 271,500 workers were involved in 31 major work-stoppages. We will discuss avoiding legal risks regarding union activity in this insightful webinar.
CLE
CLE Credit will be applied for, where applicable.
Questions?
Please contact Amanda Vercruysse at [email protected] or +1 202 239 3068.
| 2025-06-25T00:00:00 |
https://www.alston.com/en/insights/events/2025/06/labor-and-employment-executive-webinar
|
[
{
"date": "2025/06/25",
"position": 28,
"query": "worker organization labor unions wage distribution"
},
{
"date": "2025/06/25",
"position": 47,
"query": "labor regulation white collar workers"
}
] |
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Natural Monopoly: Definition, How It Works, Types, and ...
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Natural Monopoly: Definition, How It Works, Types, and Examples
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https://www.investopedia.com
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A natural monopoly involves a single player that serves the market efficiently at a lower cost. · This monopoly has high start-up costs and significant economies ...
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A natural monopoly occurs when a single company can produce a good or service at a lower cost than its competitors, which results in low competition in the market.
What Is a Natural Monopoly?
A natural monopoly occurs when one company can efficiently serve the market at a lower cost compared to its competitors. As such, the industry or sector comes with high barriers to entry and startup costs for new players. As such, a natural monopoly has only one efficient player. Natural monopolies can arise in industries that require unique raw materials, technology, or similar factors to operate.
Key Takeaways A natural monopoly involves a single player that serves the market efficiently at a lower cost.
This monopoly has high start-up costs and significant economies of scale.
Natural monopolies may be permitted but are often heavily regulated to protect consumers.
Understanding Natural Monopolies
A natural monopoly becomes a monopoly over time due to market conditions and without any unfair business practices that might stifle competition. It generally happens when there are high startup costs or powerful economies of scale that come with conducting a business in a specific industry like telecommunications or infrastructure. These barriers can prevent potential competitors from entering the market.
Two main factors can lead to this type of monopoly:
When a company takes advantage of an industry's high barriers to entry to create a moat or protective wall around its business operations. The high barriers are often due to the significant amount of capital or cash needed to purchase fixed assets, which are physical assets a company needs to operate. When producing at a large scale is so much more efficient than small-scale production, that a single large producer is sufficient to satisfy all available market demands. Because their costs are higher, small-scale producers can simply never compete with the larger, lower-cost producers.
The natural monopoly of a single large producer is also the most economically efficient way to produce a good or service in question. This is not due to large-scale fixed assets or investments but the result of the simple first-mover advantage, increasing returns to centralizing information and decision-making or network effects. Consider how redundant setting up a second electrical grid to power homes in a community when one is already set up.
Important Some monopolies use tactics to gain an unfair advantage by using collusion, mergers, acquisitions, and hostile takeovers. Collusion might involve two rival competitors conspiring together to gain unfair market advantage through coordinated price-fixing or increases.
Special Considerations
Regulatory agencies in each region serve as a watchdog for the public when it comes to government-approved natural monopolies. Utilities are typically regulated by state-run departments of public utilities or public commissions.
The U.S. Department of Transportation has broad responsibilities for the safety of travel for railroads while the U.S. Department of Energy is responsible for the oil and natural gas industries.
Keep in mind, though, that no equivalent agencies in the U.S. have been empowered to similarly regulate tech and information monopolies, nor are they governed as common carriers, though this may be a trend in the future.
Fast Fact Just because a company operates as a natural monopoly does not explicitly mean it is the only company in the industry. The company might have a monopoly in one region of the country. Cable companies, for example, are often regionally-based, although there has been consolidation in the industry creating national players.
Advantages and Disadvantages of Natural Monopolies
Advantages
One of the benefits of natural monopolies comes from using an industry's limited resources efficiently to offer the lowest unit price to consumers. They can serve a good purpose when a single company can supply a product or service at a lower cost than anyone else, and at a volume that can service an entire market.
Natural monopolies have certain benefits. For instance, multiple utility companies wouldn't be feasible since there would need to be many distribution networks like sewer lines, electricity poles, and water pipes for each competitor. Since it's economically sensible to have utilities operate as natural monopolies, governments allow them to exist. But, the industry is heavily regulated to ensure that consumers get fair pricing and proper services.
Disadvantages
One of the main drawbacks is that it cuts out the competition and takes away choice from consumers. This means that customers can only get certain goods and services from one provider.
Having a natural monopoly in place bars other potential players from entering the market. This is due to the high startup costs associated with doing business.
Because there is only one player in the market, regulation may be an issue—especially when it comes to monopolies that aren't approved or run by the government. As such, entities may abuse their power, increase prices, and provide poor customer service.
Pros Lower costs goods and services than rivals
Economically sensible
Fair pricing and proper services Cons No competition
High startup costs and barriers to entry
Abuse of power and poor customer service
Examples of Natural Monopolies
Companies with a natural monopoly may sometimes exploit the benefits by restricting the supply of a product or service, inflating prices, or exerting their power in damaging ways other than through prices.
Under common law, many natural monopolies operate as common carriers, whose business is recognized as having risks of monopoly abuse but allowed to do business as long as they serve the public interest. Common carriers are typically required to allow open access to their services without restricting supply or discriminating among customers and in return are allowed to operate as monopolies and given protection from liability for potential misuse by customers.
The following are some industries that have natural monopolies:
Utility industry: This is a natural monopoly. Utility monopolies provide water, sewer services, electricity transmission, and energy distribution such as retail natural gas transmission to cities and towns across the country. The startup costs associated with establishing utility plants and the distribution of their products are substantial. As a result, the capital cost is a strong deterrent for potential competitors.
This is a natural monopoly. Utility monopolies provide water, sewer services, electricity transmission, and energy distribution such as retail natural gas transmission to cities and towns across the country. The startup costs associated with establishing utility plants and the distribution of their products are substantial. As a result, the capital cost is a strong deterrent for potential competitors. Internet providers: A service platform might use its monopoly power over information, online interactions, and commerce to exercise undue influence over what people can see, say, or sell online. Regulations over natural monopolies are often established to protect the public from any misuse by natural monopolies.
A service platform might use its monopoly power over information, online interactions, and commerce to exercise undue influence over what people can see, say, or sell online. Regulations over natural monopolies are often established to protect the public from any misuse by natural monopolies. Telephone companies: Companies that provide landline services are required to offer households within their territory phone service without discriminating based on the manner or content of a person’s phone conversations and are in return generally not held liable if their customers abuse the service by making prank phone calls.
Companies that provide landline services are required to offer households within their territory phone service without discriminating based on the manner or content of a person’s phone conversations and are in return generally not held liable if their customers abuse the service by making prank phone calls. Railroads: The railroad industry is government-sponsored, meaning their natural monopolies are allowed because it's more efficient and in the public's best interest to help it flourish. Further, the industry can't support two or more major players given the unique resources needed, such as land for railroad tracks, train stations, and their high-cost structures.
Modern examples of natural monopolies include social media platforms, search engines, and online retailing. Companies such as Meta, Google, and Amazon have built natural monopolies for various online services due in large part to first-mover advantages, network effects, and natural economies of scale involved with handling large quantities of data and information. Unlike traditional utilities, these types of natural monopolies so far have gone virtually unregulated in most countries.
How Will I Use This in Real Life
Natural monopolies can provide you with essential services like electricity, water, sewage services, public transportation, and other public services. This means they limit the amount of choice you have for these services because it doesn't make sense to have more than one provider offer these services. Service providers benefit from lower costs while providing you with reliable services.
How Do Natural Monopolies Work? A natural monopoly is a monopoly where there is only one provider of a good or service in a certain industry. It occurs when one company or organization controls the market for a particular offering. This type of monopoly prevents potential rivals from entering the market due to the high cost of starting up and other barriers.
How Is a Natural Monopoly Different From a Regular Monopoly? As the name implies, a natural monopoly exists naturally. Market forces allow one player in the market to become the only player in a certain industry without stifling the competition. Regular monopolies, on the other hand, are created when a company controls the market by eliminating the competition. This happens when a key player buys up the supply chain and buys its rivals. Monopolies may lead to the removal of substitute products and services, higher prices, and low-quality products.
What Are Some of the Most Common Types of Natural Monopolies? The most common types of natural monopolies include those found in the telecommunications center, the utility industry, oil and gas companies, and the railroad industry.
The Bottom Line
Monopolies can be a boon and a blessing to consumers and the market. Unlike regular monopolies, natural ones occur because market forces shape the industry to the point where there is only one key player that offers a specific good or service to the public. Even though this type of monopoly is allowed to exist, the barriers for potential rivals to enter the market can be high. Some of the most common examples of natural monopolies include utilities and railroads.
| 2025-06-25T00:00:00 |
https://www.investopedia.com/terms/n/natural_monopoly.asp
|
[
{
"date": "2025/06/25",
"position": 21,
"query": "market concentration and monopolies inflation rate"
}
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] |
|
Who pays the most income tax?
|
Who pays the most income tax?
|
https://usafacts.org
|
[] |
Corporate income taxes ($529.9B). Payroll taxes ($1.7T). Source: USAFacts ... SOI Tax Stats - Individual statistical tables by tax rate and income percentile.
|
How much income tax do the top earners pay?
Most of the government’s federal income tax revenue comes from the nation’s top income earners. In 2022, the top 5% of earners — people with incomes $261,591 and above — collectively paid over $1.3 trillion in income taxes, or about 61% of the national total.
If you include the top 10% — everyone who made at least $178,611 — that figure rises to $1.5 trillion, or 72% of the total.
The top 50% of earners contributed 97% of federal income tax revenue.
| 2025-06-25T00:00:00 |
https://usafacts.org/articles/who-pays-the-most-income-tax/
|
[
{
"date": "2025/06/25",
"position": 55,
"query": "corporate taxes inflation rate"
}
] |
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|
Mainers deserve better: Corporate tax breaks win while care ...
|
Mainers deserve better: Corporate tax breaks win while care workers, students, reproductive health services, and families at risk of eviction get left behind
|
https://www.mecep.org
|
[
"Maura Pillsbury",
"Maura Works On Tax Expenditures",
"Local Issues. After Over A Decade Of Working On Reviews Of Federal",
"State Programs To Help Improve Their Efficacy",
"She Spent Several Years As A Volunteer Organizer",
"Activist. Maura Graduated Johns Hopkins University With A Master S Degree In Public Policy",
"The University Of Chicago With A Bachelor S Degree In Political Science.",
"View All Articles"
] |
Lawmakers are poised to choose corporations over care workers, tax breaks over tenant protections, and profits over people.
|
In the final hours of the legislative session, lawmakers are poised to choose corporations over care workers, tax breaks over tenant protections, and profits over people.
While rejecting full funding for eviction prevention, direct care worker raises, and free community college, the Legislature is in the process of quietly handing out millions in corporate tax breaks — giveaways that will benefit wealthy investors and big businesses for years to come with little or nothing to show for it.
These business tax giveaways will cost millions in the future:
$15 million/year for the New Markets tax credit, $97.5 million in total 1
for the New Markets tax credit, $5 million/year for the Seed Capital tax credit 2
for the Seed Capital tax credit $1.7 million/year for Food Processing and Manufacturing tax credits (that benefit the largest potato processors in the state)
Meanwhile, these critical programs are underfunded now:
MaineCare cost-of-living adjustments: $132 million needed over the biennium; only $30 million delivered
$132 million needed over the biennium; only $30 million delivered Eviction prevention: $20 million needed over the biennium; $0 delivered
$20 million needed over the biennium; $0 delivered Family planning: $12 million needed over the biennium; one-time $6 million instead
$12 million needed over the biennium; one-time $6 million instead Free community college: $25 million requested over the biennium; $20 million delivered
$25 million requested over the biennium; $20 million delivered Shelters: $10 million annually requested; $4.5 million in one-time money delivered
Because of veto threats from the Governor, lawmakers abandoned the chance to raise revenue or close loopholes this session despite bipartisan support for LD 1879, a proposal that would increase the tax rate on big corporations by just over 1% and raise $50 million annually. Instead, they are going in the opposite direction, pursuing tax breaks that will deepen our budget shortfall in future years and make it even harder to sustain existing programs that Maine families and communities rely on.
This is trickle-down economics in action: tax breaks for the powerful, and an ever-shrinking pie for the rest of us. The fact that they are choosing this path while Washington is seeking to supercharge tax cuts for the ultra-rich paid for by cuts to health care, nutrition assistance, and other vital programs is doubly troubling. It’s the same failed approach that helped create the very crises we’re in — homelessness, poverty wages, student debt, and a care economy stretched to the brink.
Mainers deserve better. We need leadership at all levels willing to stand up to wealthy interests and invest in the people and workers who make our communities work — not in out-of-state shareholders or private equity firms.
The ink may be drying on these decisions, but the fight for a fairer future is just beginning.
Notes:
[1] MECEP testimony
[2] MECEP testimony
| 2025-06-25T00:00:00 |
https://www.mecep.org/blog/mainers-deserve-better-corporate-tax-breaks-win-while-care-workers-students-reproductive-health-services-and-families-at-risk-of-eviction-get-left-behind/
|
[
{
"date": "2025/06/25",
"position": 8,
"query": "corporate taxes healthcare workers"
}
] |
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] |
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Project Engineer Stf – Business Commonality (Digital ...
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Project Engineer Stf – Business Commonality (Digital Transformation)
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https://www.lockheedmartinjobs.com
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[] |
... Business Commonality (Digital Transformation) at Lockheed Martin Corporation ... At Lockheed Martin, we apply our passion for purposeful innovation to keep people ...
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Job ID: 694385BR
Space is a critical domain, connecting our technologies, our security and our humanity. While others view space as a destination, we see it as a realm of possibilities, where we can do more— we can innovate, invest, inspire and integrate our capabilities to transform the future.At Lockheed Martin Space, we aim to harness the full potential of space to cultivate innovation, reduce costs, and push the boundaries of what technology can achieve. We’re creating future-ready solutions, focusing on resiliency and urgency through our 21st Century Security® vision.We’re erasing boundaries and forming partnerships across industries and around the world. We’re advancing spacecraft and the workforce to fuel the next generation. And we’re reimagining how space can connect us, ensuring security and prosperity.
What does this role look like?
For over 60 years, the Fleet Ballistic Missile (FBM) team has supported the Navy’s mission to provide affordable and credible strategic defense. We offer unique career opportunities and challenges on a program with a rich history and exciting future. We help keep this nation and our allies secure.The FBM Program is experiencing significant growth and we need your expertise to deliver amazing new technologies to our customers while maintaining the technical requirements of the strategic deterrence.FBM is a reliable program that has been a part of the United States for over 60 years with many years to come. As we enter the next phase of FBM there are large opportunities for growth and career development.As a part of the FBM team, we can build, replenish, & modernize this crucial national asset with today’s tools & technology to benefit the world, the nation, our states, and our communities!
In this role will offer you the following daily key responsibilities:
be able to obtain and maintain a US DoD SECRET clearance
The FBM Digital Capabilities Organization is seeking a motivated and experienced Project Engineer Staff to support the Digital Transformation team. In this role, you will be responsible for the planning, coordination, deployment, and general administration of Digital Transformation capabilities to the Engineering Databases in use on the FBM Program. This role will ensure common practices, standards, and commonality requirements are being maintained across FBM Engineering Databases, in alignment with Space and 1LMX. This role requires strong communication skills, with the ability to relay complex concepts to a variety of audiences (end users to senior leadership) and lead/motivate cross-functional teams in accomplishing a common goal. This will include modernization as well as transformation efforts across the FBM Program lifecycle at all sites (SWFPAC, SWFLANT, ER, Denver, Valley Forge, Courtland, Titusville, and Sunnyvale). The FBM Digital Transformation team is looking for motivated individuals that can deliver high quality capabilities and communicate effectively to help bridge the program from its "legacy of yesterday" to its future of "development and sustainment" for continual improvement throughout the lifecycle of the program.• Bachelor's Degree in a STEM discipline,• Understanding of Engineering Database methods and processes for ensuring data/data product consistency, quality, and commonality,• Experience in the usage, administration, and/or deployment of Engineering Databases, such as Windchill (EPDM), DOORS, Teamwork Cloud, Teamcenter, etc.• Experience in project/program management methods, with proven success in executing project engineering responsibilities,• You will need to be a US Citizen, and, to support this government contract, as well as successfully pass a drug and background check, in order to meet eligibility requirements for access to classified information.
Please note:
PLEASE NOTE-Other important information:
Benefits of Employment:
• Experience with development, deployment or adoption of LM 1LMX and/or FBM Digital Transformation initiatives, strategies, and methods• Experience in the usage and administration of Engineering Databases in both Unclassified and Classified Environments• Experience as a LM Program Business Administrator for an Engineering Application and/or Database (Windchill, DOORS, Teamwork Cloud, Teamcenter, Cameo, Creo Parametric, etc.)• Active Secret Clearance.• By applying to this role, you are expressing interest in this position and could be considered for other career opportunities, within Lockheed Martin, where similar skills and requirements have been identified as a match.• Should this match be identified you may be contacted for this and future openings.• Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually.We are also committed to enabling transitioning veterans to connect with their communities and find new purpose as they reintegrate into civilian life. By clicking on the link, you can find out more on how we proudly support the Military/Veterans NetworkJoining Lockheed Martin Space means becoming part of a global network of passionate professionals dedicated to safety and shaping the future of defense capabilitiesAt Space we value your skills, training, and education. We believe that by applying the highest standards of business ethics and visionary thinking, everything is within our reach – and yours as a Lockheed Martin Space employee. …just to name a few reasons to joinand experience your future!This position requires a government security clearance, you must be a US Citizen for consideration.SecretBy applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.9x80 every other Friday offThe annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $104,500 - $184,115. For states not referenced above, the salary range for this position will reflect the candidate’s final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.This position is incentive plan eligible.At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.Experienced ProfessionalSPACENoProgram ManagementFull-TimeFirst
| 2025-06-25T00:00:00 |
https://www.lockheedmartinjobs.com/job/cape-canaveral/project-engineer-stf-business-commonality-digital-transformation/694/82975621648
|
[
{
"date": "2025/06/25",
"position": 58,
"query": "digital transformation creative workers"
}
] |
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|
how paperwork is holding the construction industry back
|
Resisting the inevitable - how paperwork is holding the construction industry back
|
https://mhrglobal.com
|
[
"Ellena Frost"
] |
... digital transformation. This could be related to the ageing workforce in this sector, as 32% of construction workers are over 50, but the resistance could ...
|
Within the construction industry, there has been a long-held resistance to digital transformation. This could be related to the ageing workforce in this sector, as 32% of construction workers are over 50, but the resistance could also be due to a “If it isn’t broken, why fix it?” mentality.
Construction digital transformation and new technology not only helps to keep a workforce connected, but can increasingly attract the digitally-savvy generation to the job market. This is increasingly important within construction for employers to keep hard-to-recruit specialist skills within their organisation.
Ensuring construction organisations have the correct tools to make their workers’ admin simpler, giving them more time to focus on the job at hand, is increasingly important. By providing online training and development tools, digital timesheets and job sheets, and automated processes, you can help engage your employees at work, keeping them satisfied in their job, which is a crucial element to retaining your workers. Based on the industry turnover rate of 29.5% according to the Office of National Statistics, it could cost organisations over £310,000 a year. Having the right tools to ensure employee satisfaction is critical for saving time searching for skilled workers and saving money in recruitment and training costs.
Drowning in paperwork
Admin
Admin and paperwork can take up a lot of a construction worker’s time. According to HR News, supervisors admitted that their available working time had halved due to various meetings and admin tasks, which leaves very little time to manage the performance and safety of their teams. This can lead to disastrous problems, such as health and safety failings, compliance breaches, and unhappy customers if the job is not to a high standard, affecting an organisation’s reputation.
Job sheets
Paper job sheets cause employees hassle and stress as they can’t be edited and changed once they have been written, meaning field workers have to complete a new sheet every time anything changes on the job or if they enter anything incorrectly. This doubles their time spent on admin tasks rather than focusing on the job and causes 21% of workers to feel stressed at work, according to Build.
Timesheets
Previous research found that over 50% of organisations are still using paper timesheets, which can lead to spending an extra £1,500 a year per employee. Not only is this an expensive and time-consuming task, but it can also lead to employees making fraudulent timesheets, resulting in time theft.
Employees can fill out their timesheets for the week just in time for payroll, whether that is weekly or monthly. This can lead to them having to remember the start and finish times, days when they worked overtime, and days when they left early. When workers add in a few hours here and there, they start to add up over the year. Construction organisations that implement a digital timesheet platform spent 2% less on employees’ annual wages on average.
Training
Not only do supervisors get bombarded with paper admin daily from ongoing jobs, but training new starters and reskilling workers also requires a considerable amount of admin, sometimes resulting in workers not getting the correct training before starting a job.
How can digital platforms remove your paper nightmare?
Using an integrated workforce management system as part of your HR and payroll solution supports your supervisors with rostering, automated timesheets, absence management, training and development, and processing flexi-time and TOIL, helping to reduce the administrative burden to let them focus on their team and the execution of the job.
Could there be a change around the corner?
We can see some change in the construction industry, with 61% of workers admitting to always carrying around a smartphone with them at work and 34% carrying around digital copies of work documents. This would allow organisations to integrate mobile and desktop-friendly HR software that allows their workers to carry around all the appropriate documents with them from site to site. This also ensures they don’t waste time looking for misplaced or forgotten documents and can simply search and find the relevant documents they need.
Only 7% of construction workers say they would resist using new software, even if it were more suitable for their job. With such a small percentage, it shows that the industry has a willingness to change. What better time is there than now?
Digital transformation solutions to help you move forward
With workers carrying their smartphones around whilst on-site, they can access a wide range of websites, apps, and tools at the click of a button. Why should HR and payroll be any different?
Our construction HR and payroll solutions not only reduce the burden of paper admin but help increase accuracy, organisation’s resilience, and flexibility. Our workforce management systems are available as part of an integrated HR and payroll solution, allowing you to create and edit rosters, supported by digital clock-ins to analyse your planned work times with actual time worked, and automatically send this information straight to payroll – no need to enter the data into multiple systems! Our solutions ensure your payroll is accurate and always delivered on time, no matter an employee’s wage or location, whilst keeping everyone connected, making it easier to manage your workforce.
Keep employees engaged and productive with our solutions, including the only integrated HR and payroll platform on the market to include social, collaboration, and communication tools alongside the standard HR and payroll features you need. You can get rid of multiple platforms and reduce your workload. Our solutions are available via mobile, tablet, or desktop 24/7, meaning workers can communicate with each other from anywhere at any time. With a great user interface, it’s easy to use and requires minimal training for employees, meaning it can be easily implemented into your organisation.
Our learning management system uses auto-enrolment features so you can define your criteria for enrolment, and the system will automatically invite and enrol any employees who fit the criteria set by you. Our system also highlights single points of failure, where only one person holds critical knowledge on particular topics and processes. Using our Learning Suite, we can help train and develop your workers in an online environment without the pain of admin. We have thousands of courses to choose from all-in-one place, including health and safety, compliance, management, and many more. Ensuring there is always someone on-site with training to manage the team and any changes or accidents that might occur whilst working.
| 2025-06-25T00:00:00 |
https://mhrglobal.com/uk/en/knowledge-hub/workforce-management/resisting-inevitable-how-paperwork-holding-construction-industry
|
[
{
"date": "2025/06/25",
"position": 99,
"query": "digital transformation creative workers"
}
] |
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] |
|
The Delicate Art of Natural-Resource Diplomacy
|
The Delicate Art of Natural-Resource Diplomacy
|
https://www.project-syndicate.org
|
[
"Daniel Litvin",
"Nina L. Khrushcheva",
"Mariana Mazzucato",
"Fausto Gernone",
"Yanis Varoufakis",
"Pinelopi Koujianou Goldberg",
"Bertrand Badré",
"Eric Hazan",
"Jan-Werner Mueller",
"Mohamed A. El-Erian"
] |
The most successful countries will approach natural-resource diplomacy with sensitivity, foresight, and balance.
|
As geopolitical tensions accelerate efforts to bolster defense capabilities and shift the AI race into high gear, competition for the critical minerals that power these industries is heating up. The most successful countries will approach natural-resource diplomacy with sensitivity, foresight, and balance.
LONDON – Resource competition has long underpinned international relations. But it seems to be taking center stage again, much like the nineteenth-century Scramble for Africa or Western grabs for Middle Eastern oil in the last century.
As demand rises for the critical minerals that power the industries of the future, many countries are rushing to gain an edge. The United States recently struck a high-profile minerals deal with Ukraine, which, for its part, wants to prevent a further hemorrhaging of US support for its war with Russia. US President Donald Trump has also talked of acquiring Greenland partly because of its potential mineral wealth, while his administration is negotiating deals with other mineral-rich countries, such as the Democratic Republic of the Congo.
Moreover, natural resources are increasingly being wielded as a foreign-policy weapon. In 2022, after Europe sanctioned Russia for its invasion of Ukraine, the Kremlin scaled back gas exports to the continent. And in the past few months, China has restricted exports of rare-earth elements as part of its trade war with the US, while India has suspended the Indus Water Treaty, a water-sharing agreement with Pakistan, following an attack on Hindu tourists in Kashmir. And the conflict between Israel and Iran has raised concerns among Israel’s Western allies that Iran could disrupt shipments of oil and gas from the Persian Gulf.
Controls of oil and gas flows has long shaped geopolitics, but critical minerals have lately taken on new importance because escalating geopolitical tensions are accelerating efforts to bolster defense capabilities and shifting the AI race into high gear, all while the global clean-energy transition continues apace. Constructing new missiles, data centers, and electricity grids requires enormous amounts of metals and minerals, such as copper, cobalt, lithium, and nickel. In an increasingly divided world where China dominates the refining and processing of many of these critical minerals, many countries understandably fear losing access to them.
Looking ahead, climate change seems certain to intensify disputes over resources, particularly water and food supplies. For example, if shifting weather patterns further reduce arable land in vulnerable regions, affected countries may act assertively to protect grain-export routes or to maintain access to international riparian systems. But it makes little sense for countries to adopt a muscular, take-no-prisoners approach to resource diplomacy. History has shown that success requires thoughtful, patient, and tempered tactics.
For starters, resource diplomacy takes careful long-term planning. China’s critical-mineral domination was not achieved overnight; it is the result of strategic foresight. Decades ago, the Chinese government adopted a forward-looking industrial policy and began investing in mining projects abroad and forging alliances with resource-rich countries. By contrast, many Western governments, having only recently woke up to the dangers of dependency on other countries for critical minerals, have made little headway in securing their own supply chains for these raw materials, despite introducing multiple initiatives to achieve this goal.
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European governments were similarly shortsighted when they allowed themselves to become dependent on Russian gas in the years prior to the Ukraine war. As the continent learned in 2022, scrambling to diversify suppliers during or after a crisis can be highly costly and disruptive.
Moreover, countries must focus less on concluding impressive-sounding deals, and more on getting the boring details right. Understanding the technical and economic aspects of resource extraction and processing will determine whether these agreements achieve their long-term aims.
For example, mining executives have criticized the US-Ukraine resources deal for exaggerating the value of the country’s critical minerals and the potential for attracting private investment to exploit them. Likewise, US officials may be overestimating the commercial viability of the minerals under Greenland’s ice. In both cases, while Trump’s maneuvers have certainly garnered attention, they may do little to strengthen US mineral security.
Of course, countries should not exert too much control over others’ resources, at least not without ensuring significant local benefits. Otherwise, they risk generating resentment and fueling a backlash. In the 1960s and 70s, Western oil firms were booted out of much of the Middle East because host governments felt they were getting too little in return. Today, Western mining firms are being squeezed in some parts of Africa and Latin America, owing to similar local perceptions. While Chinese mining firms have gained ground in Africa by portraying themselves as more supportive of local development, they, too, are sometimes tarred with the same neo-colonialist brush. Securing resources without sowing suspicion is easier said than done.
Finally, resource-rich countries should recognize that weaponizing their exports may backfire: importers may shift away from the relevant commodity or retaliate in other ways. A striking historical example is the 1973 Arab oil embargo. While this delivered the intended short-term result – inflicting economic pain on Western countries – it also impelled those countries to develop new oil fields outside the Arab world, such as in Alaska and the North Sea.
In the same vein, Russia’s decision to cut gas flows to Europe caused initial pain, but ended up devastating a once-lucrative export market, which has now secured alternative energy supplies. And more countries are at risk of making the same mistake. India’s suspension of the Indus Water Treaty has raised fears that China, Pakistan’s ally, may weaponize the waterways under its control that flow to India. Likewise, in tightening global exports of its rare earths, China risks accelerating moves to open up rare-earth mining and processing facilities elsewhere in the world.
When it comes to securing access to natural resources or using them as geopolitical tools, headline-grabbing moves rarely produce the desired outcome, especially over the long term. Instead, effective resource diplomacy requires sensitivity, expertise, foresight, and balance – qualities that, unfortunately, are not prevalent among today’s political leaders.
| 2025-06-25T00:00:00 |
https://www.project-syndicate.org/commentary/securing-critical-minerals-requires-sensitive-diplomacy-by-daniel-litvin-2025-06
|
[
{
"date": "2025/06/25",
"position": 31,
"query": "geopolitics diplomacy worker well-being"
},
{
"date": "2025/06/25",
"position": 6,
"query": "geopolitics diplomacy creative workers"
}
] |
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IWI Hosts Online Presentation of “Blue-Collar Empire”
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IWI Hosts Online Presentation of “Blue-Collar Empire” – theory and praxis
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https://www.theoryandpraxis.eu
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The IWI hosted a compelling online presentation of Jeff Schuhrke's important book, Blue-Collar Empire: The Untold Story of US Labor's Global Anticommunist ...
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On June 23, the IWI hosted a compelling online presentation of Jeff Schuhrke’s important book, Blue-Collar Empire: The Untold Story of US Labor’s Global Anticommunist Crusade. The book showcases how, for decades, the AFL-CIO expended their energies to block militant class consciousness from taking hold in the workers’ movements of Europe, Latin America, Africa, and Asia.
The event drew the participation of over 50 trade unionists and cadres from 22 countries, reflecting broad international interest in this critical history. Below, you can find videos, photos, and the main speeches from the event.
Alexandra Liberi (IWI Public Relations)
Dear colleagues and friends, thank you all for joining another important initiative of the International Workers Institute. I am Alexandra Liberi, Greek Trade Unionist and Public Relations Organizer of the Institute.
I know you are used to have our sister Anda host the events, but we must excuse her as she is attending another important trade union mission.
Before I give the floor to comrade Chris Townsend, from USA to introduce todays key speaker, I would like to take a minute to express our condemnation against the war unleashed by the zionist entity and the US Government against the people of Iran. There is no excuse and no flag big enough to whitewash an imperialist war. We know very well the reasons behind these war. On the one hand Israel is continuing its long plans towards a “Greater Israel” continuing the genocide of the Palestinian people, the attacks in Lebanon, in Yemen and together with the US and NATO allies, they fight full force for the race towards domination, raw materials, roads of commerce and seafare.
We the workers of the world need to have it clear. To demand the disarmament of nuclear weapons everywhere, especially USA, France, Israel who have the most of them, and world peace is a noble cause but those are empty words unless we give all our forces at the same time to build the front that will allow us to continue and complete the class struggle to achieve social change in favor of the working class and the masses. So that we can build our own country, however we want it and however we dream of it. Without exploitation or capitalist barbarism.
We cannot say it better than our poet Bertolt Brecht wrote:
THOSE AT THE TOP SAY: PEACE AND WAR
Are of different substance.
But their peace and their war
Are like wind and storm.
War grows from their peace
Like son from his mother
He bears
Her frightful features.
Their war kills
Whatever their peace
Has left over.
Chris Townsend (Member of the IWI EC)
Hello to everyone across the WFTU family. I am Chris Townsend, the retired political action director for the United Electrical Workers Union (UE) in the U.S. Thanks first to the WFTU leadership, General Secretary Pambis Kyritsis, and comrade George Mavrikos from the IWI in particular, for sponsoring this event.
Jeff Schuhrke is an assistant professor at the Empire State University, part of the State University of New York, in New York City, U.S.A. He is the author of “Blue Collar Empire: The Untold Story of U.S. Labor’s Global Anticommunist Crusade.” Published by Verso books. His book has raised interest in this topic world-wide, and today’s event can attest to the popularity of his writing. Jeff’s book combines a clear and honest history of the foundation of the World Federation of Trade Unions. It also details the role played by U.S. imperialism in corrupting and capturing segments of the U.S. labor movement in order to undermine and oppose class struggle unionism all across the globe. For many decades reactionary elements within the U.S. labor movement used the “cover” of labor unions to assault and attack the WFTU, to give support to reactionary, fascist, and military regimes across the globe, and to engage in sordid alliances with U.S. intelligence agencies and anti-union corporations in dozens and dozens of countries. This disruption has changed forms over time, but continues up to the current period as a part of the aggressive and reactionary U.S. foreign policy. Jeff Schuhrke opens up new and recent chapters in this sordid story, picking up where previous investigations ended. Before beginning his academic career Jeff was a member of the Service Employees Union as well as the United Auto Workers Union. I first met Jeff 15 years ago during his association with my union, the United Electrical Workers Union. When he began this book a number of years ago I was very proud to provide him with whatever documents, archives, and personal experiences of my own to assist in his research of this critical story. His forthcoming book dealing with the role of Zionism in the U.S. labor movement is already generating great interest here. With that, I give you all my good friend and union comrade, Jeff Schuhrke, for his presentation on this critical book.
Main Presentation by Jeff Schuhrke – Author of the book “Blue Collar Empire -The Untold Story of US Labor’s Global Anticommunist Crusade”
Hello everyone, and thank you very much to the International Workers’ Institute and WFTU for inviting me to speak today about my historical research and about my book.
Blue-Collar Empire tells the story of US labor officialdom’s quest to control the workers’ movements of Europe, Latin America, Africa, and Asia between the 1940s and 1990s. It is important to understand that “the Cold War” was not only an East-West struggle between rival superpowers, but also a series of imperial, often grotesquely violent intrusions by the Global North into the Global South. The AFL-CIO’s international agents carried out their own imperial intrusions, expending incredible energy and resources to block revolutionary ideologies and militant class consciousness from taking hold in foreign labor movements.
In practice, this meant meddling in the internal processes of other countries’ unions, stoking internecine rivalries, creating and financially propping up splinter labor organizations, grooming cadres of conservative unionists, and occasionally using the power of the strike to sabotage left-wing governments. American labor officials usually carried out such activities without the full knowledge or approval of the rank-and-file union members they purported to represent. In the few instances where US unionists became aware of what their national leaders were up to in foreign lands, they forcefully protested.
Union activists, journalists, and scholars first began documenting US labor’s Cold War intrigues in the late 1960s, at the height of the Vietnam War. Early studies and exposés characterized the AFL-CIO as being little more than a puppet of the US government. The spotlight was especially shone on labor’s shadowy ties to the CIA. Many assumed the spy agency was corrupting hapless union leaders, while many others mockingly called the labor federation the “AFL-CIA.” More recent studies have demonstrated how the CIA was only the most notorious government entity that organized labor partnered with. In reality, the AFL-CIO became closely allied with almost the entire US foreign policy apparatus—not only the CIA, but also the State Department, the US Agency for International Development, and National Endowment for Democracy.
American labor officials were not mere dupes of the government, but instead were aggressive cold warriors in their own right. In striving for respectability and legitimacy over the years, the leaders of the American Federation of Labor (AFL) were often at odds with radicals within their own union ranks, making them increasingly defensive against leftist influence in the labor movement. This led to bruising internal union conflicts that helped shape the intense anticommunism of many twentieth-century US labor officials, many of whom spent their early years maneuvering to expel leftists from their own unions. They therefore did not need to be corrupted by the CIA, as they were willing to wage the Cold War with or without the government’s cooperation.
By the mid-1940s, the US labor movement had become entwined with the American state through the experiences of the Great Depression and two world wars. Becoming more reliant on the US government went hand-in-hand with surrendering collective power at the workplace. Labor officials therefore came out of World War II believing that maintaining the state’s favor, in part by demonstrating intense patriotism and hatred for foreign enemies, was crucial to the continued growth of their unions.
I begin the story in 1945, at the end of the Second World War. At that time, the labor federations of the Allied nations — including the American Congress of Industrial Organizations (CIO), the Soviet All-Union Central Council of Trade Unions, the British Trades Union Congress, the French Confédération Générale du Travail, and several others — sought greater cooperation with each other in the hope of strengthening working-class influence over economic and social policy in the postwar international order. They particularly sought to establish a new World Federation of Trade Unions (WFTU) to function as a kind of United Nations for labor.
Like the incipient UN, the proposed WFTU would include both communists and progressive noncommunists with different political systems and ideologies, but all with a shared opposition to fascism and commitment to multilateral diplomacy.
Notably absent was the American Federation of Labor (AFL) — the older and larger US trade union center — whose leaders vowed to boycott the WFTU because it included the Soviets. While the CIO had always been relatively tolerant of communists, and several of its affiliated unions were led by members or allies of the Communist Party USA, the AFL’s more conservative officials were uncompromisingly anticommunist, as they had been for decades.
As the CIO and the rest of the Allied nations’ unions were trying to build world labor unity, the AFL launched a new international arm in 1944–45 called the Free Trade Union Committee, which was determined to divide foreign labor movements into rival camps of communists and anticommunists. The term “free trade unionism” was used by the AFL as a synonym for anticommunist unionism. In other words, even if a union were autonomous and democratic, the AFL would still consider it illegitimate and “unfree” if it happened to be led or influenced by communists.
In the first few years after World War II, the AFL’s Free Trade Union Committee would deliberately provoke debilitating splits in the French and Italian labor movements along nascent Cold War battle lines, eventually becoming a willing partner and financial beneficiary of the Central Intelligence Agency (CIA).
At the same time, anticommunist hysteria overtook the United States. The 1947 Taft-Hartley Act—a law meant to restrict the further growth of unions—required that US union officials sign affidavits swearing they were not members of the Communist Party. The controversy over whether to comply with this requirement drove a wedge between the CIO’s communists and noncommunists. Similarly, the WFTU became divided over whether to support the Marshall Plan, Washington’s program to integrate postwar Western Europe into the emerging US-managed international capitalist system and sideline the region’s popular communist parties in the process.
In 1946, Walter Reuther — a young and ambitious union official — was narrowly elected president of the United Auto Workers. Eager to consolidate his control over the autoworkers’ union, Reuther proceeded to oust communists and their allies from union leadership positions, and soon began a campaign to rid the CIO of communists altogether.
In January 1949, in part thanks to Reuther’s influence, the CIO withdrew from the WFTU, ostensibly due to disagreements with the Soviet trade unions over the Marshall Plan. Alongside the AFL, British Trades Union Congress, and other Western-aligned labor federations, the CIO co-founded the International Confederation of Free Trade Unions (ICFTU) later that same year to be an anticommunist rival to the WFTU — officially killing the vision of postwar international labor unity. Soon afterward, the CIO expelled eleven of its communist-led unions, greatly weakening itself in the process. In 1955, the husk of the CIO was folded into the AFL, becoming the AFL-CIO.
With the World Federation of Trade Unions, communist and noncommunist labor organizations attempted to build the kind of international unity that might have served as a powerful rebuke to the Cold War, but the AFL and CIO tried sabotaging this vision.
Rather than a hapless victim of Cold War politics, then, American labor encouraged and exacerbated the Cold War. Wanting to see the success of the emerging, US-managed international capitalist order because they believed it would economically benefit their members, AFL and CIO officials essentially made the labor movement an appendage of Washington’s foreign policy apparatus by becoming willing partners of the State Department and CIA.
To offer one example from the book: After the 1949 Communist revolution in China, the AFL’s Free Trade Union Committee sent a representative to Taiwan. With resources provided by the CIA, the AFL representative established the “Free China Labor League,” which served as a front for espionage and sabotage activities. Teams of anticommunist Chinese agents secretly traveled from Taiwan to mainland China, where they not only reported intelligence back via radio transmitters, but also blew up fuel supplies (causing substantial civilian casualties) and attempted to stir up worker unrest in state-owned factories.
Through the Free Trade Union Committee’s China operation, the AFL became complicit in CIA-sponsored terrorist activities, straying far from its basic purpose of empowering workers.
Later, in the 1960s, the AFL-CIO further cemented its foreign policy alliance with Washington by creating new foreign “institutes” funded by the US Agency for International Development, to bring anticommunism to the labor movements of the Global South. The first, largest, and most consequential of these institutes was the American Institute for Free Labor Development (AIFLD), which was established after the Cuban Revolution to bring so-called “free trade unionism” to Latin America.
AIFLD trained hundreds of thousands of Latin American unionists in the ways of conservative business unionism, trying to buy their loyalty through development projects like the construction of low-cost worker housing. AIFLD and its trainees became important instruments of US imperialism in the region, working to push progressive political leaders out of power.
For example, AIFLD also played an important role in the US-backed military coup against Brazil’s left-wing president, João Goulart. Like their friends in the US government, AFL-CIO leaders believed Goulart was too close to the Brazilian Communist Party and needed to be ousted. In 1963, AIFLD’s training program hosted a special class of thirty-three Brazilian unionists. Their course included fifty hours’ worth of instruction on how to fight communist influence in their unions.
When the coup against Goulart was executed on April 1, 1964, the AIFLD graduates helped ensure it went smoothly. While leftist unionists called for a general strike to disrupt the coup, the US-trained union officials convinced their fellow workers to ignore these calls and allow the military takeover to proceed unobstructed. The new military regime put allegedly communist-led unions into trusteeships, sending “intervenors” — some of them AIFLD graduates — to purge these unions of leftists and Goulart sympathizers.
In the first days after the coup, an estimated 10,000 to 50,000 suspected leftists were arrested, including union members and student activists. At least many hundreds suffered brutal torture.
Three months later, an AFL-CIO official boasted in a radio interview that AIFLD’s Brazilian trainees “became intimately involved in some of the clandestine operations” of the coup. “Many of the trade union leaders — some of whom were actually trained in our institute — were involved in… the overthrow of the Goulart regime,” he said.
The criminal US war on Vietnam was a crucial turning point in the Cold War. Fought in the name of “containing” communism and modernizing South Vietnam, the war revealed to much of the American public the brutal and imperial nature of US foreign policy. The war opened new political space to challenge anticommunist orthodoxy in the United States, but AFL-CIO leaders would have none of this. Instead of using its economic muscle or close relationship with Washington to call for a swift end to the conflict, the AFL-CIO enthusiastically supported the war, even participating in it by aiding South Vietnam’s anticommunist labor leader, Tran Quoc Buu. The formal support of what was then one of the country’s largest mass membership organizations gave Presidents Lyndon Johnson and Richard Nixon political cover and helped allow the slaughter in Southeast Asia to continue, while domestic divisions over the war became ever more intense.
After the Vietnam War, journalists exposed more and more details about organized labor’s partnership with the US foreign policy apparatus, shocking many rank-and-file union members. But the AFL-CIO plowed ahead with its international intrigues, most notoriously by supporting the bloody military coup against socialist president Salvador Allende in Chile. This only further alienated a younger generation of more progressive rank-and-file union members who already felt that labor leaders were out of touch, undemocratic, and unwilling to fight the growing power of multinational corporations.
Meanwhile, amid increasing foreign competition, technological change, and upheavals in international finance, Corporate America moved to protect its profits in the 1970s by outsourcing jobs and offshoring production, accelerating a process of deindustrialization that would gut much of the AFL-CIO’s membership in the proceeding decades.
The AFL-CIO’s major focus in this period was not organizing new workers or listening to younger members, but joining with neoconservatives in reigniting superpower tensions in the face of détente. The AFL-CIO repeatedly demonstrated that it was an instrument for waging the Cold War first, and a vehicle to advance the lot of the working class second.
Partnering with Ronald Reagan—the most anti-labor US president in over fifty years—the AFL-CIO escalated its anticommunist crusade in the 1980s. With additional government funding through the newly created National Endowment for Democracy (NED), US labor intervened inside the communist world itself by financially supporting Solidarność in Poland. In the Philippines, the AFL-CIO’s Asian institute gave financial support to the corrupt and conservative labor federation that was tied to the Marcos dictatorship while trying to undercut the more militant and class-conscious trade union center—the KMU (May First Movement).
But when AFL-CIO officials went along with Reagan’s violent counterinsurgency policy in Central America, dozens of US union presidents and tens of thousands of rank-and-file members loudly protested.
These union dissidents were driven not only by a concern for the human rights of people in countries like El Salvador and Nicaragua, but also by a fear that Reagan’s efforts to crush progressive movements in Central America would only make it easier for US corporations to move production there. Indeed, by the end of the decade, Cold War anticommunism gave way to neoliberalism’s “race to the bottom,” with multinationals emboldened to move operations to wherever they found workers most exploitable. Celebrating the collapse of world communism, AFL-CIO leadership had no real plan for how to respond to this new geopolitical and economic reality.
For decades, American labor officials had been close partners of the US government in waging the Cold War around the world. While Washington’s foreign policy goals were often realized thanks to this arrangement, US workers ultimately did not benefit. The same federal government that generously gave the AFL-CIO hundreds of millions of dollars to interfere in foreign labor movements—supposedly in the name of “free” trade unionism—did little to promote union freedom at home. The anti-union Taft-Hartley Act was not repealed, labor law was not reformed to make it easier for American workers to join unions, the right to strike was not protected, and union jobs were not safeguarded from elimination. Instead, by the Cold War’s conclusion, Washington only made it easier for corporations to exploit workers both at home and abroad by facilitating free trade agreements like North American Free Trade Agreement (NAFTA).
In 1997, after the Cold War had ended and new leadership had taken control of the AFL-CIO, AIFLD and the other foreign institutes were shut down and reorganized into a new organization called the American Center for International Labor Solidarity, or Solidarity Center, which continues to be the AFL-CIO’s operational arm around the world.
Like its predecessor institutes, the Solidarity Center is primarily funded by Washington. Of its nearly $42 million in total support and revenue in 2020, $38.8 million came from federal grants, including $22.6 million from the NED and $14.9 million from USAID. Just $300,000 came from the AFL-CIO itself. Funding for the Solidarity Center’s programs has tended to mirror US foreign policy priorities. For example, when President George W. Bush invaded Iraq in 2003, the Solidarity Center simultaneously received $860,000 from the NED for its Middle East programs, up from $292,000 the year before. Or when the socialist Hugo Chávez was elected president of Venezuela in 1999 much to the concern of Washington, the NED’s annual funding for the Solidarity Center’s programs in that country suddenly jumped from $54,289 to $242,926. Soon after, the Solidarity Center was implicated in the failed coup attempt against Chávez in 2002.
Unfortunately, within the US labor movement there has been little to no discussion or debate about the Solidarity Center and its close ties to Washington.
If they are ever to be serious vehicles for strengthening and protecting the working class both at home and around the world in this era of overlapping crises, today’s AFL-CIO and its affiliated unions must adopt the kind of principled labor internationalism that would inevitably bring them into conflict with US foreign policy instead of reflexively serving it. But a labor movement that places class struggle and anti-imperialism ahead of deference to Washington’s international designs will not come into being unless workers build it ourselves.
Thank you.
| 2025-06-25T00:00:00 |
https://www.theoryandpraxis.eu/iwi-hosts-online-presentation-of-blue-collar-empire/
|
[
{
"date": "2025/06/25",
"position": 2,
"query": "geopolitics diplomacy blue collar workers"
}
] |
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] |
|
New Analysis: List of State AI and Tech Protections ...
|
New Analysis: List of State AI and Tech Protections Impacted by Cruz Moratorium
|
https://www.citizen.org
|
[] |
Public Citizen is releasing a preliminary analysis of state consumer, worker, and public safety protections that would be voided under Senator Ted Cruz's ...
|
June 25, 2025 New Analysis: List of State AI and Tech Protections Impacted by Cruz Moratorium
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WASHINGTON, D.C. — Today, Public Citizen is releasing a preliminary analysis of state consumer, worker, and public safety protections that would be voided under Senator Ted Cruz’s proposed 10-year moratorium on state and local AI laws—tucked into the budget reconciliation bill now moving through the Senate.
The sweeping moratorium would block state and local AI and tech safeguards for the next decade. It is a devastating policy at a time when AI and tech harms are accelerating like never before and these technologies continue to move far too quickly for Congress to attempt to regulate. States would also lose their share of $42.5 billion in essential broadband funding if they refuse to surrender their right to regulate AI systems.
“This is a blatant attack on states’ abilities to protect consumers, workers, and creators,” said J.B. Branch, Public Citizen’s Big Tech accountability advocate. “The moratorium gives Big Tech a decade-long free pass to unleash whatever new technologies they want to without any form of legal accountability. It destroys common sense safeguards that state legislatures have passed with overwhelming and bipartisan support. Congress should focus on enacting strong baseline federal AI protections, not on tying states’ hands for the next 10 years”
Public Citizen’s preliminary analysis found that laws in states like Kentucky, Utah, Tennessee, and North Dakota, led and supported by Republican and Democratic lawmakers alike, could be wiped out by the moratorium. For example:
Kentucky’s AI data privacy law—which requires government disclosure when AI is used in decisions that affect a person’s life—blocked.
Utah’s Artificial Intelligence Policy Act, led by Republican lawmakers, which establishes key consumer safeguards for AI in healthcare, legal services, mental health chatbots, and financial services—invalidated.
Tennessee’s ELVIS Act, protecting musicians and creators from AI-generated impersonations—voided.
North Dakota’s first-in-the-nation AI healthcare law, requiring that prior authorization decisions be reviewed by a human and not left solely to AI—a commonsense protection—preempted.
Laws nationwide banning deepfake pornography, requiring disclosure when consumers interact with AI, and preventing algorithmic discrimination in housing, employment, and credit—all gone.
Public Citizen joins a bipartisan chorus of opposition that includes 40 state attorneys general, the National Conference of State Legislators, 260 state lawmakers, and Americans across the country.
A copy of Public Citizen’s preliminary analysis of state laws can be found here. The list is not exhaustive; however it does reflect the broad language found in Sen. Cruz’s AI moratorium language.
| 2025-06-25T00:00:00 |
https://www.citizen.org/news/new-analysis-list-of-state-ai-and-tech-protections-impacted-by-cruz-moratorium/
|
[
{
"date": "2025/06/25",
"position": 27,
"query": "technology regulation creative workers"
}
] |
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|
Regulatory Healthcare Compliance | MLS at Western State
|
Regulatory Healthcare Compliance
|
https://www.wsulaw.edu
|
[
"Sophia Gad-Nasr"
] |
Advance your career in regulatory healthcare compliance with the MLS at Western State—flexible and designed for working professionals.
|
Written by: WSCL Marketing Team
We all rely on healthcare to stay healthy and safe. However, this also means more personal information must be stored: every visit, test result, and diagnosis. That makes patient privacy and safety paramount, which is why healthcare is one of the most heavily regulated industries in the United States. With rules and regulations constantly changing as the healthcare system evolves and grows more complex, compliance is absolutely essential. Failing to comply with regulations can be very costly. It can result in financial penalties, legal troubles, and, worse still, reputational damage. Staying on top of healthcare compliance has never been more critical.
The Growing Challenges of Navigating Healthcare Regulations
If you work in healthcare, you know just how complicated regulations have become. The industry is growing rapidly. Every new technological advancement seems to bring with it an increasing number of new rules or updates to existing ones. Healthcare providers across the country are expected to stay on top of national laws, like HIPAA (Health Insurance Portability and Accountability Act), HITECH (Health Information Technology for Economic and Clinical Health Act), and various anti-fraud statutes like the False Claims Act.
In addition to federal laws, each state adds its own state-specific regulations. For example, agencies like the California Department of Public Health (CDPH) set their own regulations. Meanwhile, new legislation, such as Senate Bill 525, which sets a new minimum wage for healthcare workers as of October 2024, raises the bar even higher on compliance. Staying ahead requires current, up-to-date knowledge of both state and federal laws. For healthcare professionals, compliance isn’t just a box to check—it’s a moving target that requires constant attention.
Importance of Effective Compliance Training
Okay, we know compliance professionals are essential. But why is compliance training so important? Simply put, strong compliance training is one of the best defenses healthcare organizations have against non-compliant activities. Think of it as a fire drill, keeping everyone prepared to act quickly and confidently when compliance issues arise. Effective training helps professionals understand how to protect patient information and spot potential compliance issues before they escalate. This way, they ensure their organization is following ethical and legal standards. When training is proactive, ongoing, and reinforced regularly, the odds of accidental breaches drop significantly. Mistakenly sending records to the wrong person, or intentional breaches like internal theft or cyberattacks, become less of a risk.
A good training program covers the essentials: HIPAA, best practices in cybersecurity, and workplace safety. The best programs emphasize fraud prevention, accurate billing, documentation, ethical decision-making, and fostering a culture where compliance is second nature. And since every state has its own rules, additional training on state-specific laws is a must. Organizations such as the Health Care Compliance Association (HCCA) offer extensive training resources, webinars, and certifications. These resources help professionals stay up-to-date as the regulatory landscape evolves.
Addressing the Needs of Aging Americans and Expanding Healthcare in Rural Areas
As America’s population ages, the healthcare system faces growing pressure to deliver compliant, high-quality care to older adults. More seniors require long-term care, help managing chronic conditions, and access to sensitive health services. Compliance becomes particularly important with Medicare and Medicaid billing, elder abuse prevention, and ensuring that providers meet the ethical and legal standards established by the Older Americans Act. Healthcare professionals need to understand these regulations to avoid mistakes that could lead to penalties or harm older populations.
At the same time, healthcare is expanding into rural areas where services have often been hard to find. With more federal and state funding being funneled into making healthcare more accessible in these underserved areas, compliance professionals need to keep up with evolving rules, especially around telehealth services, rural health clinic certification, and federal grant reporting. In either case, the work of compliance experts helps ensure that high-quality care reaches everyone, no matter where they live.
Fraud & Privacy Challenges in Compliance
Fraud prevention is one of the most critical aspects of healthcare compliance. From accurate billing and documentation to maintaining a strong workplace culture where ethics and accountability come first, compliance professionals are tasked with identifying, addressing, and preventing abuse. This is especially important in the context of Medicare and Medicaid. Improper billing and fraudulent claims in these cases can lead to major penalties and harm vulnerable populations. Many of those affected are aging Americans who depend on these programs for care.
Consider the case of Dr. Farid Fata, a Michigan oncologist who made headlines in 2015. He prescribed unnecessary chemotherapy to hundreds of patients in order to fraudulently bill Medicare for over $225 million. The impact of his actions was devastating. Many of his patients suffered lasting harm, and he ultimately received a 45-year prison sentence. The case exposed major gaps in oversight and sparked calls for stronger Medicare and Medicaid safeguards. It also demonstrates how fraud can exploit regulatory weaknesses, inflict real harm on patients, and waste critical resources. That’s why compliance professionals are so crucial: they play a key role in preventing such abuse by promoting ethical billing practices, conducting internal audits, and staying alert to potential red flags.
Privacy brings its own set of challenges. As more patient data is stored and shared digitally, following federal HIPAA regulations while also maintaining state-specific privacy laws becomes a daily balancing act. Understanding how to navigate these overlapping legal frameworks is essential for maintaining compliance and protecting patient trust.
Cybersecurity and Privacy Threats in Compliance
Cyberattacks have become a fact of life in healthcare, with the numbers growing more alarming each year. In 2023, more than 168 million patient records were exposed, more than triple the number compromised the year before. In 2024, the overall number of breaches went down, but the fallout was even more severe. A single attack at Change Healthcare breached 190 million patient records, pushing the annual total to a staggering 276 million. The scale of these breaches is changing how the industry views privacy, risk, and what it takes to safeguard patient information.
With digital threats on the rise, regulators are now calling for stricter safeguards: data encryption, multifactor authentication, and ongoing compliance audits are becoming standard. Compliance professionals need to stay sharp, understand the risks that come with new technology, learn from past breaches, and figure out ways to close the next potential loophole.
The Role of Artificial Intelligence in Compliance
Artificial Intelligence (AI) has increasingly become integrated into everyday life, and healthcare is no exception. Hospitals and clinics now rely on AI for everything from spotting patterns in medical scans to streamlining paperwork behind the scenes with administrative automation. While AI can boost efficiency and improve patient outcomes, it also raises tricky legal and ethical questions about data privacy, fairness, and transparency. Algorithms only follow the instructions they’re given; if they’re not intentionally designed to do so, they might overlook patient rights or ethical considerations. That’s why human oversight is critical.
As technology races ahead, regulatory frameworks will need to evolve. How should the law handle decisions made by a computer? What happens if a hidden bias in an algorithm leads to the wrong diagnosis? These are the kinds of questions that shape real outcomes for patients. Professionals trained through the MLS at Western State learn to anticipate these challenges, ask the right questions, and apply legal reasoning to new technologies. They are essential in helping healthcare organizations use AI responsibly, ensuring that innovation never comes at the cost of patient trust or safety.
Western State College of Law’s MLS Program: Addressing the Demand for Healthcare Compliance Experts
As healthcare compliance constantly evolves, so must the professionals who guide organizations through the changes. To meet the rising demand for trained compliance professionals, Western State College of Law now offers a Master of Legal Studies (MLS) program with a focus on healthcare compliance. This program is built for working professionals who want to stay ahead of the curve, providing a comprehensive education in regulatory frameworks, risk management, fraud prevention, HIPAA compliance, and laws that shape today’s healthcare organizations.
What sets Western State’s MLS program apart is that it blends legal theory with practical skills, preparing students to become experts in healthcare compliance and put their knowledge to work from day one. You’ll cover key regulations and laws like the False Claims Act, Anti-Kickback Statute, and Stark Law. You will also explore timely topics such as telehealth and digital health regulations—areas where the rules are still evolving. Graduates leave prepared for the challenges facing today’s healthcare industry.
This program is an excellent fit for healthcare professionals who want to advance their careers or transition into compliance roles. The curriculum is designed with working professionals in mind, allowing you to balance work with school while learning the skills that set you apart in a competitive and rapidly changing field.
The Benefits of a Career in Healthcare Compliance
A career in healthcare compliance offers you a chance to make a real difference. There are many career opportunities in compliance, each providing job stability, potential for higher-paying positions, and, perhaps most importantly, the opportunity to make a meaningful impact on the integrity and quality of patient care. Compliance professionals are the ones who safeguard patient data, guide organizations through complicated regulations, and prevent minor mistakes from becoming major problems by staying current with the evolving landscape of healthcare compliance.
The need for qualified healthcare compliance professionals continues to rise. With the state’s strict and evolving healthcare regulations, organizations are looking for skilled compliance professionals who can navigate both state and federal laws, avoid costly fines, and uphold the highest ethical standards in patient care. If you’re looking for a field where your knowledge can create positive change and open doors to new career opportunities, healthcare compliance might be the perfect fit.
The Consequences of Non-Compliance
The consequences of non-compliance for healthcare providers can be devastating. These include heavy fines, lawsuits, and harming their reputation. For example, recently, Montefiore Medical Center had to pay a $4.75 million settlement as a result of potential HIPAA violations linked to data security failures. St. Joseph’s Medical Center faced penalties of $80,000 for inadequate staff training leading to a significant privacy breach.
Cases like these demonstrate how important it is to keep up-to-date with compliance training and proactive risk management. When organizations cut corners on proper compliance training or risk management, they expose themselves to financial and legal repercussions and risk losing the trust of the patients and communities they serve. This is why compliance professionals are more important than ever today.
New Trends and Challenges in Healthcare Compliance
Change is the only constant in healthcare compliance. As technology advances and cybersecurity threats become increasingly sophisticated, the regulatory landscape continues to evolve, with laws becoming more nuanced, complex, and overlapping in ways that are challenging to untangle. That means organizations must be proactive, continually reviewing their practices, looking ahead to new requirements, and adapting quickly as standards change.
Professionals who invest in specialized training, like the MLS program at Western State, are positioning themselves for long-term success. Building a strong foundation in both legal knowledge and real-world compliance skills puts professionals ahead of the curve. Graduates are ready to tackle any challenges that come their way and become indispensable assets to the organizations that rely on them.
Empowering Professionals to Lead in Healthcare Compliance
Today’s healthcare compliance landscape isn’t just about checking boxes—it’s about stepping up to lead in a world where the rules keep changing. Success in this field requires critical thinking, adaptability, and the ability to make sense of a complex and constantly evolving legal environment. From protecting patient privacy and preventing fraud to staying ahead of new regulations and emerging technologies like AI, true leaders in compliance combine expertise with integrity.
That’s why ongoing education and specialized training are essential. Western State College of Law’s MLS in Healthcare Compliance gives professionals the tools and confidence to navigate this complex world, so they can help their organizations do the right thing, meet legal obligations, uphold ethical standards, and deliver safe, high-quality care in a rapidly changing world.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://www.wsulaw.edu/news/why-regulatory-compliance-in-healthcare-is-more-important-than-ever/
|
[
{
"date": "2025/06/25",
"position": 6,
"query": "technology regulation healthcare workers"
}
] |
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] |
What is the IMF?
|
WHAT IS THE IMF?
|
https://www.imf.org
|
[] |
... job creation, and economic well ... exchange rate policies, financial system supervision and regulation, and legislative frameworks.
|
The International Monetary Fund (IMF) works to achieve sustainable growth and prosperity for all of its 191 member countries. It does so by supporting economic policies that promote financial stability and monetary cooperation, which are essential to increase productivity, job creation, and economic well-being. The IMF is governed by and accountable to its member countries.
The IMF has three critical missions: furthering international monetary cooperation, encouraging the expansion of trade and economic growth, and discouraging policies that would harm prosperity. To fulfill these missions, IMF member countries work collaboratively with each other and with other international bodies.
| 2025-06-25T00:00:00 |
https://www.imf.org/en/About/Factsheets/IMF-at-a-Glance
|
[
{
"date": "2025/06/25",
"position": 76,
"query": "financial crisis stock exchange employment rate"
}
] |
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] |
|
Johnson & Johnson: Changing health for humanity
|
Johnson & Johnson: Changing health for humanity
|
https://www.jnj.com
|
[] |
We're building a world where complex diseases are prevented and cured, treatments are smarter and less invasive—and solutions are personal.
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Learn about the advances Johnson & Johnson is making to help turn heart failure into heart recovery for the millions of adults in the U.S. living with the condition, which occurs when the heart muscle isn’t able to pump blood as well as it should.
| 2025-06-25T00:00:00 |
https://www.jnj.com/
|
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"date": "2025/06/25",
"position": 96,
"query": "financial crisis stock exchange employment rate"
},
{
"date": "2025/06/25",
"position": 67,
"query": "financial crisis stock exchange healthcare workers"
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|
Is the healthcare sector ailing or getting over the worst of its ...
|
Is the healthcare sector ailing or getting over the worst of its ills?
|
https://www.trustnet.com
|
[
"Jonathan Jones"
] |
This year, global healthcare stocks have tumbled 7.2% (as represented by the MSCI World/Health Care index), some 6 percentage points lower than the broader MSCI ...
|
25 June 2025
Experts look at why healthcare stocks have struggled over the past year and examine if there is hope for this to change.
Healthcare stocks have been in the mire for the best part of a decade and are facing an ‘annus horribilis’ over the past 12 months. Despite hopes of a turnaround, Garry White, chief investment commentator at Charles Stanley, said investors are wise to be cautious.
This year, global healthcare stocks have tumbled 7.2% (as represented by the MSCI World/Health Care index), some 6 percentage points lower than the broader MSCI World.
But this is not a new phenomenon. From 2015 to 2024, the healthcare sector has outperformed the wider market in just three years (2022, 2018 and 2015).
It may have left investors sorely disappointed, as over the past decade healthcare stocks have made half the returns of the wider market, as the below chart shows.
Performance of indices over 10yrs
Source: FE Analytics
Yet it is a sector of great importance, not only for the wellbeing of the world but also in particular for UK investors, with pharmaceutical giants GSK and AstraZeneca among the six stocks that make up some 12.7% of the FTSE 100 index.
So why has the sector so badly struggled recently?
The most recent bout of poor performance has been driven by a mix of regulatory uncertainty, pricing pressures and investor rotation into higher-growth sectors such as technology and artificial intelligence (AI), said White.
“One of the key drags on performance has been concerns over drug pricing reforms and patent cliffs. The Biden-era Inflation Reduction Act (IRA) allowed Medicare to negotiate prices on select drugs,” he said.
“Signed into law in 2022, the IRA granted Medicare – for the first time – the authority to negotiate prices for certain high-cost prescription drugs. This long-contested provision aims to curb federal spending and reduce out-of-pocket costs for millions of Americans.”
In response, pharmaceutical giants, such as AstraZeneca, launched legal battles against the policies but a May 2025 landmark ruling in the court of appeals upheld the law and dismissed the claims.
Additionally, president Donald Trump signed an executive order in April that expanded Medicare’s negotiating power and introduced a controversial ‘most favoured nation’ pricing model, meaning drugmakers selling into the US would be pushed to match the lowest price paid by other countries.
“Industry groups argue that pegging US prices to international benchmarks could stifle innovation and lead to drug shortages if companies pull out of less profitable markets. Still, the Trump administration appears undeterred,” said White.
Janus Henderson research analyst Luyi Guo said last month the “sheer lack of detail” makes it “difficult to assess the immediate impact”.
“For example, the order cites no obvious legal authority to mandate lower drug prices, so it remains to be seen how effectively the Trump administration would be able to enforce the new policy. And it is unclear which insurance programs would be targeted and to what extent,” she said.
Then there are the ‘Liberation Day’ tariffs, which would impact the profits made by international pharmaceutical companies that export drugs to the US.
“The administration argues that foreign price manipulation and supply chain vulnerabilities have left the US exposed, especially in times of crisis,” said White.
“However, the move has sparked concern among healthcare providers and policy experts. Critics warn that tariffs could exacerbate drug shortages, raise costs for patients and disrupt access to essential medicines.”
While some are lobbying for exemptions, none have been forthcoming at present.
Despite all of this, “analysts remain cautiously optimistic about the long-term fundamentals of the healthcare sector”, said White, citing ageing populations, rising chronic disease burdens and technological innovation as likely to underpin demand.
Although there are short-term price pressures from the policies above, biotech innovation – particularly in gene therapy, oncology, and AI-driven drug discovery – is a long-term theme that could boost the industry, he added.
“M&A activity is also expected to pick up, as large companies seek to replenish pipelines and diversify revenue streams. A wave of strategic acquisitions is likely,” the Charles Stanley chief investment commentator said.
This is in addition to the rapid rise of weight-loss drugs such as Ozempic, which David Goodman, fund manager in the Liontrust Global Equities team, described earlier this year as “pioneering treatments”.
He pointed to data from Scott Galloway, professor of marketing at the NYU Stern Business School, which suggested the health phenomenon could have a bigger economic impact on the US than AI.
“These drugs have the potential to be a transformative force for good in healthcare, the economy and society as a whole,” he concluded.
So what should investors do now?
In the short-to-medium term, the outlook is mixed, said White, with the healthcare sector “at a crossroads”.
“Share-price underperformance, policy uncertainty and the threat of tariffs have created a challenging environment for investors and operators alike. Yet the sector’s long-term drivers – demographics, innovation and global demand – remain intact,” he said.
“As the Trump administration’s trade and healthcare policies take shape, the coming months will be critical in determining whether this is a temporary setback or a structural shift. For now, caution – and close attention to Washington – remain the order of the day.”
Guo agreed, suggesting healthcare stocks may “continue to be prone to volatility”, but added that we could be “slowly nearing the end of the regulatory uncertainty”.
For those who do want to invest, she suggested investors should “stay focused on the attractive fundamentals” and those companies with both defensive characteristics and future growth opportunities.
And there could be a good reason to get in now, with Janus Henderson’s Guo noting the sector is trading at a nearly 20% discount to the benchmark versus the long-term average of a 4% premium.
“The entry point for long-term investors has rarely been this attractive. Starting from such low valuations, we believe healthcare stocks are primed for gains when there’s positive news,” she concluded.
| 2025-06-25T00:00:00 |
https://www.trustnet.com/news/13451258/is-the-healthcare-sector-ailing-or-getting-over-the-worst-of-its-ills
|
[
{
"date": "2025/06/25",
"position": 87,
"query": "financial crisis stock exchange healthcare workers"
}
] |
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|
Build Global Teams in 2025: From White-Collar to Field- ...
|
Build Global Teams in 2025: From White-Collar to Field-Based Roles
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https://expressglobalemployment.com
|
[
"Natalia Pro"
] |
White-collar work came to signify education, prestige, and intellectual labour — office-bound, clean-handed, upwardly mobile. Blue-collar roles were physical, ...
|
Every global deal talks about value creation, but few address the real pivot: how do you secure and activate the teams behind the assets, especially when politics, economics, and supply chains are all in flux? Traditional mergers and acquisitions (M&A) playbooks were built for a world where assets sat still and entities led the way. […]
Over the past decade, working for a company in another country has become increasingly common. Whether you’re supporting a US startup from Mexico, managing operations for a Dutch company in Colombia, or leading design for a UK firm while living in Georgia, you’re part of a global workforce that no longer fits inside traditional legal […]
This month, the pattern is clear: immigration and compliance are moving faster, going digital, and demanding immediate employer action. From biometric entry checks at EU borders to new eVisas and electronic pre-approvals in the UK and Malaysia, the pace of regulatory change leaves less margin for delay or error. Some countries are also clamping down […]
AI is changing the rules — here’s how leaders can diversify, innovate, and stay ahead. The recruitment industry is undergoing one of the most significant transformations in its history. Artificial Intelligence (AI) has moved from being a buzzword to a daily reality. Companies are increasingly turning to AI-powered tools to streamline sourcing, automate candidate screening, […]
Paid annual leave is a core legal right for employees worldwide. Yet holiday accruals remain one of the most misunderstood and inconsistently managed obligations in global employment. As a Global Employer of Record (EOR), Acumen regularly receives questions from clients who are unclear about how these entitlements are calculated, funded, and settled, especially when payroll […]
When companies talk about “going global,” they’re often thinking in terms of knowledge workers: software engineers, analysts, consultants — roles that fit neatly into laptops, contracts, and payroll systems. But global hiring doesn’t stop at the edge of the desk.
Across industries, critical work happens in the field: infrastructure crews, rotational engineers, logistics teams, marine technicians. These roles operate under entirely different legal, safety, and logistical conditions. And yet, they’re part of the same workforce, often engaged on the same project, bound by the same delivery timelines.
To build truly global teams, employers need to understand how role type shapes legal exposure, infrastructure needs, and operational design. The question isn’t just where you’re hiring — it’s who, how, and under what obligations.
This article explores the distinct realities of hiring white-collar and blue-collar workers across borders:
What employers are responsible for;
What varies jurisdiction by jurisdiction;
And why global workforce models must adapt not only to geography, but to the work itself.
White-Collar Hiring Across Borders: Structured, Scalable, and Legally Contained
White-collar international hiring is often the entry point for global workforce expansion. These roles are typically professional, technical, or managerial, and while they come with jurisdiction-specific compliance obligations, they tend to operate in controlled environments: offices, home setups, client sites, or co-working hubs.
What makes white-collar roles easier to support globally is not just the nature of the work, but the predictability of the employment structure. Employment contracts, tax registrations, and benefits can usually be managed remotely. Immigration may still apply, especially in regulated fields like fintech or life sciences, but the overall model is repeatable.
Common Hiring Triggers
Supporting clients or partners in-country without legal entity setup
Enabling remote technical teams to deliver in local time zones
Hiring ahead of expansion into new markets
Onboarding regional compliance, operations, or delivery leads
Typical Functions and Job Types
Technology : software engineers, cybersecurity consultants, AI/ML leads
: software engineers, cybersecurity consultants, AI/ML leads Finance & Risk : compliance officers, payment operations analysts
: compliance officers, payment operations analysts Consulting & Services : strategy consultants, project managers
: strategy consultants, project managers Life Sciences & Clinical Ops: field application specialists, clinical research associates
Key Employer Responsibilities
Drafting and maintaining jurisdiction-specific employment contracts
Registering the employee for payroll, tax, and statutory benefits
Managing probation, performance reviews, and compliant offboarding
Handling immigration sponsorship where local presence is required
Ensuring IP protection, confidentiality, and post-employment restrictions
The structure may be standardised, but the stakes are still high. White-collar hiring across borders touches employment law, tax compliance, and reputational risk.
For global employers, the priority is ensuring consistency without oversimplifying the local legal framework.
Rethinking the Divide: When Collar Colours Stop Being Useful
We still divide work into colours — white for the thinkers, blue for the doers — as though the 21st-century workforce can be cleanly split along a factory line drawn in 1950.
For decades, we’ve sorted jobs into categories that felt useful: white-collar or blue-collar, office-based or on-site, remote or physical.
White-collar work came to signify education, prestige, and intellectual labour — office-bound, clean-handed, upwardly mobile. Blue-collar roles were physical, often unionised, and historically lower-paid. These divisions weren’t just descriptive; they carried assumptions about prestige, education, risk, structure, and complexity.
But that model was built for an economy that no longer exists. Today, those labels have outlived their utility.
The global workforce no longer fits in the boxes we built for it. Roles that combine high skill with legal exposure, physical presence with compliance oversight, or cross-border activity with site-specific regulation do not map neatly onto traditional classifications.
Global employment today isn’t defined by shirt colour, it’s defined by context, risk, and delivery. Understanding what each role requires from the employer is far more important than what it’s called.
This isn’t just a problem of outdated vocabulary. It’s a deeper operational failure. Because when your global employment system assumes a knowledge worker in Berlin and a rotational engineer on a North Sea oil platform can be hired the same way, something will eventually break, and what breaks is usually compliance, cost control, or liability.
Beyond the Desk: Blue-Collar Hiring and the Reality of On-the-Ground Work
White-collar employment can often be structured cleanly on paper. But global hiring doesn’t end with compliant contracts and digital onboarding. For many industries — energy, infrastructure, logistics, maritime, mining — the real complexity begins when the work is physical.
Deploying blue-collar talent across borders introduces layered legal, safety, and logistical responsibilities that can’t be abstracted away. These workers are often in motion: on sites, in the field, between countries. The employer’s duty of care becomes tangible, sometimes literally life-critical.
Where Blue-collar International Hiring Arises
Infrastructure rollouts where project crews shift across markets
Rotational work in extractive industries or offshore operations
Field-based technical support in telecom, energy, and utilities
Cross-border logistics and transport team mobilisation
Typical Job Types
Construction & Engineering : crane operators, equipment technicians
: crane operators, equipment technicians Oil & Gas / Mining : drill crews, heavy machinery operators, HSE officers
: drill crews, heavy machinery operators, HSE officers Telecom & Utilities : fibre installers, grid maintenance teams
: fibre installers, grid maintenance teams Marine & Transport: welders, divers, ground crew, freight coordinators
What Changes for Employers
Unlike office-based roles, blue-collar hiring activates employer obligations that extend far beyond contracts or payroll systems. These include:
Safety and protective equipment : Helmets, gloves, boots, flame-retardant clothing — supplied, maintained, and replaced by the employer under local law
: Helmets, gloves, boots, flame-retardant clothing — supplied, maintained, and replaced by the employer under local law Transport to site : When work is remote or hazardous, employers may be required to provide compliant transport (e.g. boats, helicopters, 4x4s), and in many jurisdictions, transport time must be compensated
: When work is remote or hazardous, employers may be required to provide compliant transport (e.g. boats, helicopters, 4x4s), and in many jurisdictions, transport time must be compensated Accommodation and subsistence : Lodging, meals, sanitation, particularly for rotational or remote teams are often regulated by labour codes or collective agreements
: Lodging, meals, sanitation, particularly for rotational or remote teams are often regulated by labour codes or collective agreements Medical checks and emergency coverage : Pre-deployment health screening, on-site medical access, evacuation insurance in high-risk zones
: Pre-deployment health screening, on-site medical access, evacuation insurance in high-risk zones Training and certification : Many roles require locally recognised qualifications; employers must verify, renew, and track credentials
: Many roles require locally recognised qualifications; employers must verify, renew, and track credentials Work permits linked to function: Immigration compliance is stricter in safety-critical roles, and some permits are tied to sector-specific approvals
This is not just employment, it’s physical deployment. Employers are expected to maintain not only compliance, but operational infrastructure: from insurance and site readiness to cross-border coordination and local legal interpretation.
Why Employment Infrastructure Must Support Both Ends of the Workforce
Too many global employment systems are built around uniformity — one contract template, one onboarding path, one assumption about where and how work is done.
That simplicity is seductive. It makes for cleaner user interfaces, faster sales cycles, and smoother funding narratives. But it also creates blind spots. Because when the employment model is built to serve only knowledge workers, the rest of the workforce, and the risks they carry, get abstracted away.
This isn’t about blaming platforms. It’s about understanding their design. Platform-led models are optimised for repeatability, not specificity. They work well for hiring remote software engineers or digital marketers. But they struggle, structurally, when the work is regulated, physical, licenced, or exposed to local safety regimes.
And here’s the core issue:
Not every company can legally act as an employer for roles tied to national licensing, sector-specific regulation, or restricted site access.
You cannot compliantly employ:
A marine welder without recognised safety clearance
A field technician in a government-regulated infrastructure zone
A medical advisor involved in clinical trials without licensure validation
A telecom installer in a jurisdiction with permit-linked insurance coverage
In these cases, the employment model must integrate with regulatory bodies, local employer registries, professional accreditation systems, and sector-specific onboarding.
That level of role-specific compliance can’t be standardised or automated at scale. In most cases, it requires local legal alignment, sector-specific protocols, and employment structures that go beyond templated workflows. This is where many providers rely on third-party arrangements, and where the chain of accountability becomes less visible.
This is where Acumen’s global employment infrastructure model stands apart.
We deliver employment capability through a partner network designed for role-specific compliance, not just geographic reach.
Our in-country partners are fully equipped to support licensed, regulated, and field-based roles, managing credential verification, safety requirements, onboarding conditions, and sector-specific obligations with full legal accountability.
Global employment isn’t a software function. It’s a legal undertaking — one that must align with real-world operational, regulatory, and jurisdictional realities.
Immigration and Global Mobility: One More Layer of Difference
Role type doesn’t just impact onboarding and employment structure, it also shapes immigration requirements.
For white-collar roles, immigration pathways are often built around professional qualifications, salary thresholds, and sponsorship by licensed employers. Many jurisdictions offer streamlined or points-based routes for high-skilled or critical occupations. Processing can be centralised, and documentation is often employer-led but relatively standardised.
But for blue-collar or site-based roles, the picture is very different.
Permits may be tied to specific locations, employers, or project types — particularly in infrastructure, mining, and energy.
Many roles require occupational licences or sector-specific clearances before a visa can even be issued.
Short-term or rotational work can complicate visa validity, national quota restrictions, or renewal conditions.
Health, safety, and accommodation requirements are often embedded into immigration law, not just labour code.
Some countries simply do not allow foreign nationals to perform certain manual or high-risk jobs or they may impose additional scrutiny, site access restrictions, or insurance obligations.
These immigration differences can affect:
Who can legally be hired
How quickly a project can be staffed
What kind of visa or permit the worker qualifies for
Whether the employer takes on legal sponsorship and full liability
Global mobility is not uniform, and compliance risk increases when employers treat it as if it is. The right hiring model must reflect both the legal pathway into the country and the operational reality of the role once on the ground.
Final Thought
The future of global hiring won’t be built on outdated categories or oversimplified models. It will be led by those who understand that every role, from strategic leadership to site-based engineers, carries its own legal and operational requirements.
At Acumen, we bring deep industry expertise and a global partner network built to meet those demands.
Whether you’re launching a clinical team in West Africa, a telecom crew in Southeast Asia, or a fintech function in Europe, we’re structured to help you employ the right talent — legally, securely, and anywhere in the world.
| 2025-06-25T00:00:00 |
2025/06/25
|
https://expressglobalemployment.com/blog/build-global-teams-in-2025-from-white-collar-to-field-based-roles/
|
[
{
"date": "2025/06/26",
"position": 43,
"query": "labor regulation white collar workers"
}
] |
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] |
Artificial Intelligence projects & news
|
Artificial Intelligence
|
https://designwanted.com
|
[] |
Filippo Spiezia, founder and CEO of Digital Design Days, leads one of the most influential events in the digital design […] Visual design. 16/09/2024.
|
TOPIC
Artificial Intelligence
Delve into the transformative power of Artificial Intelligence (AI) as it reshapes the creative landscape, enabling designers to push the boundaries of innovation and reimagine the way we interact with the world. Groundbreaking projects that harness the potential of AI to create captivating designs and uncover new frontiers of expression. Gain invaluable insights from thought leaders and visionaries who illuminate the intersection of Artificial Intelligence and design, shedding light on the possibilities, challenges, and ethical considerations that come hand in hand with this rapidly evolving field. An enlightening journey, where we uncover the fusion of intelligence and design, and discover its potential to shape a future that seamlessly blends human creativity with the limitless capabilities of technology.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://designwanted.com/tag/artificial-intelligence/
|
[
{
"date": "2025/04/23",
"position": 46,
"query": "AI graphic design"
}
] |
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Overview on the Sustainable and Responsible Educational ...
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Overview on the Sustainable and Responsible Educational Technology Efforts Using Artificial Intelligence for the Workers of the Future
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https://wap.hapres.com
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[
"Zita Kaszalik",
"Viktória Gősi Kövecses",
"Márta Konczos Szombathelyi"
] |
... artificial intelligence, educational technology, ESG, and the labor market were examined. ... International Labor Organization. Global Employment Trends ...
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Article
Received: 23 Jan 2025; Accepted: 28 May 2025; Published: 24 Jun 2025
The purpose of the research is to review how artificial intelligence is integrated into the education of employees, emphasizing that the rapid application of artificial intelligence significantly affects the development of the workforce and the achievement of sustainability goals. The European Commission also continuously monitors changes in the field of digitization and artificial intelligence. Among other things, the European Union uses ESG (environmental, social, governance) aspects to measure sustainability performance, relying on domestic and international literature to reveal how education, investments and international cooperation can lead to social development and market competitiveness. As a research method, we use the analysis of annual reports, training and conference reports, company websites, and databases on corporate ESG commitment, employee development, and digitalization. Based on the decision of the European Commission, the continuous and rapid progress of the development of digitization and artificial intelligence is an issue to be monitored with reporting obligations. Analyzes of ESG reports help to understand the sustainability practices and environmental effects of a given organization, help to reveal social responsibility, interpret the company's long-term value creation potential and risks, measure and compare the sustainability performance of different companies and organizations. Analyzing ESG reports is key to promoting transparency and responsible business practices. Based on the developments, in addition to the economic results, the realization of the sustainability goals is becoming more and more tangible in the context of the ESG framework, the investigation of digitalization and artificial intelligence, as well as the labor market and education.
ABBREVIATIONS AI, artificial intelligence; ESG, environmental, social, governance; OECD, Organization for Economic Co-operation and Development; EU, European Union; SME, small and medium-sized enterprises; SDG, sustainable development goals; CSRD, corporate sustainability reporting directive; CSR, corporate social responsibility; EdTech, education technology; CAGR, compound annual growth rate; AR, augmented reality; VR, virtual reality; GDPR, general data protection regulation; MOOC, massive open online course; UNESCO, United Nations Educational, Scientific and Cultural Organization; ESRS, European Sustainability Reporting Standards; STEM, science, technology, engineering and mathematics; LLM, large language models; Cedefop, European Centre for the Development of Vocational Training
INTRODUCTION The study does not contain an in-depth analysis of a single company or event, nor does it focus exclusively on market and economic data. Rather, an exploratory scientific study combines data and perspectives from multiple sources, formulates research questions, draws conclusions, and makes suggestions for future research directions. The study examines companies’ compliance with social sustainability for the sake of future employees, in relation to digitized education and the application of artificial intelligence (AI). The rapid development of AI has a clear impact through the workforce factor on economic results and the realization of sustainability goals [1]. Due to the reporting obligations imposed by the decision of the European Commission, the realization of sustainability goals, digitalization and the application of AI have become factors designated for monitoring [2]. The perspectives of ESG as the means of measuring sustainability are increasingly prestigious evaluation criteria for investors and financial actors during risk analysis studies, and education for the sake of development, investments and international cooperation overall motivate the social development and market competitiveness [3–5]. Legislation is a central element in addition to financial capital, it is a base for changing lifestyles, increasing opportunities for equal opportunities, and combined with education, it has a significant impact on the development of the workforce [6]. Based on the expectations, the growth of educational investments and the transformation of traditional classrooms can be predicted, instead of the further training of the own workforce, retraining is manifested due to the shortened time interval, and international partnership can also help to catch up with the results achieved in the field of the knowledge-based society [7]. AI has emerged as a fundamental element of knowledge sharing, a chance to increase productivity and improve living standards [8]. The purpose of the study is to explore educational technology efforts embedded in sustainable and responsible AI applications used by companies, which represent a new path for future workers [9]. The study focuses on AI applications, as this technological development can provide a solution for further productivity growth, efficiency gains, and positive financial performance in the future. AI is now a systemic transformational force, identified as a catalyst for its profound labor market shaping impact, automation potential, personalized learning opportunities, efficiency-enhancing potential, and both risk and opportunity potential [10]. The Research method is based on analyses of annual reports, training and conference reports, company websites, and company ESG reports on employee development, digitalization and AI database analyzes [11–17]. The World Economic Forum, Eurostat, OECD, European Commission, UNESCO reports are complemented by statements from Audi, Bosch, IBM, BDO, Piac&Profit, Eurofound, Cedefop, Grand View Research, W3Tech, WebTechnology Surveys, typically covering the period 2019–2024. During the data collection, 18 company analyses, 12 international policy studies and 6 statistical databases were processed. The quantitative research approach was also assisted by database research and index research. The companies were selected based on size, sector and level of AI application in order to compare SMEs and large companies. Company reports can also be used for marketing purposes, so unfortunately, positive distortion of the data cannot be ruled out. Based on the decision of the European Commission, digitalization and the use of AI are part of the reporting obligation of companies. The analysis of ESG reports is authoritative from the point of view of promoting transparency and responsible business practices, based on the developments, economic results and the realization of sustainability goals can be verified [18,19]. According to the 1987 report of the World Commission on Environment and Development, we must meet the needs of the present so that the next generation can their own needs. Based on this, the companies are compared objectively not from a financial and economic point of view, but from a sustainability point of view [20]. In 2015, the basic idea of the United Nations was added to the objectives of the European Union (EU) to be achieved by 2030 through the formulation of 17 sustainable development goals, together with the discussion of the issues of innovation, equal opportunities, job creation and education, the universality of “leaving no one behind” following its principle [18,21,22]. Based on Hungarian surveys, 83% of the surveyed companies claim that ESG will be important to them because of their reputation and expectations. 40% of the respondents would spend more, 50% would spend the same amount. Energy efficiency appears as the most frequented area (77%), in the case of SMEs, employee welfare, education, training and human rights are more prominent [23]. Solution diversities can provide an opportunity to avoid the homogenizing effect of institutional pressure on organizations [24]. In order to strengthen environmental awareness, based on the EU’s corporate sustainability reporting directive (CSRD), since January 2023, companies have been obliged to publish and report on the fulfillment of the standards based on reporting standards (European Sustainable Reporting Standards—ESRS) [25]. The reporting of non-financial information applies to all large companies and SMEs present in the markets, and supports the measures of the European Green Deal aimed at overcoming the climate crisis [15,26]. Corporate social responsibility (CSR) can generate decisive advantages for collaborators due to competitiveness. Based on the 2011 CSR strategy of the European Commission, cooperation is integrated into the basic strategies in social, environmental, ethical, human rights and consumer issues [27]. CSR practices can become suitable for raising the company’s reputation, attracting high-quality workforce and young talents, so organizations should pay special attention to this area [28]. Throughout history, the acceptance of new technologies, innovation, and the acquisition of new knowledge have always appeared as defining issues, which is how the issue of education was included among the 17 sustainability goals [29]. Responsible educational technology steps include the development of educational systems, the search and recognition of possible learning bases, and their transmission to students [30]. Sustainable and responsible educational technology efforts and AI work together effectively for the benefit of the workforce of the future. According to Bill Gates’ forecast, AI will induce significant changes even in everyday life within five years, but the IMF is concerned about the rapid evolution of AI, according to which approximately 40% of jobs may be affected by the extremely rapid development. It is clear that successful economies cannot exist without the widespread diffusion of digital capabilities. According to the founder of Microsoft, similar to the increase in agricultural productivity in the 1900s, AI can represent a chance to improve the standard of living, also for education, it can help remedy the shortage of teachers, it can start the process of realizing equal opportunities, but in the opinion of the doubters, it contributes even more to the increase of inequalities [31,32]. Research questions: What opportunities can digitalization bring to achieve sustainability goals? How do the labor market and education respond to this AI breakthrough? What impact does AI-based educational technology have on the skill level of employees? How sustainability is reflected in educational technology ESG reports? What factors influence the success of AI implementation in labor market-oriented education [11,12]?
MATERIALS AND METHODS A mixed methodological approach was applied during the research, combining qualitative and quantitative analysis techniques. A multi-stage criteria system was followed when analyzing the data sources. Regarding the relevance of the study, only company websites that are directly related to the topics of artificial intelligence, educational technology, ESG, and the labor market were examined. In terms of temporal validity, the analyzed documents originate from the period 2019–2024, thus providing an up-to-date picture of current trends. From a geographical perspective, the sources focus primarily on Europe, including Hungary, Germany, and the Nordic countries, but international comparisons were also made when examining OECD, UNESCO, and EU documents. We used two basic theoretical models for the analytical framework. The TAM (Technology Acceptance Model) was applied to examine the application of AI in education, with particular attention to the factors influencing acceptance (usefulness, usability, attitude), while SDG4 goal (Quality Education) was used to measure the contribution to the sustainable development goals. In order to ensure methodological rigor in data analysis, triangulation and comparison of multiple types of data sources were carried out when examining statistics from international organizations, corporate ESG reports, market research studies, and academic articles. Index-based analysis was performed to compare ESG performances. We applied filtered database analysis based on structured data collection tables, in which we used key indicators, such as the extent of education investments, the level of AI use, and digital skills development strategies. We also took into account the marketing biases of corporate reports and the reliability limitations of publicly available sources. An overview of sustainable and responsible educational technology efforts with the application of AI research for the workers of the future reveals the most important educational technology and labor market opportunities and results in order to realize them. As a market-leading solution in the field of education, the study discusses the opportunities offered by products associated with cloud services, machine learning and natural language processing, the implementations are completed with the help of cooperative learning and healthy collaboration. The exploration of educational technology innovations is justified by the intense industry competition, where the strengthening of traditional education with the position of distance education, the knowledge of emerging content languages, and the use of AI position the chances of competitiveness to a significantly higher level. The labor market and education represent a common line of sustainability, in which the most dynamically growing elements are technology, digitization and sustainability. How would companies change their ESG spending in the future? The future of work is the acquisition of new technologies, the correction of expected basic skills through education, lifelong learning, improving the employment rate of young people, and the practical application of AI. The explosive expansion of the study’s research area means research limitations, so data is not yet available in some areas. The findings of mixed-method research are valid within the time interval of the research and require continuous updating, as AI, digitalization, and educational technology are rapidly changing fields. However, the conclusions drawn from the available data are useful, especially for identifying trends and defining primary frameworks. The study communicates these limitations transparently, which increases its scientific credibility. The study analyzes the introduction of AI in the educational context using the Technology Acceptance Model (TAM) and the SDG framework. In addition to the government reports, the data of the educational technology studies are independent technological reports of the service providers Grand View Research, W3Techs, Web Technology Surveys, International Labor Organization, and BDO Hungary, secondary sources are other educational technology and labor market documents and publications. The collected data were explored to identify educational technology and labor market trends and opportunities. The formulation of the market, the normalization of the data, and the data representation were made only based on validated data. The purpose of sharing the reports is to understand the dynamics of the educational technology and labor market and global market forecasts. The individual regional prospects required a short-term, up to 2030, and long-term forecast interpretation, primarily compared to the AI and sustainability segment prospects. The limited database of reports may result in a percentage deviation of the results, but it is suitable for detecting market trends. The validity of the trends is limited at the time of writing the study; the data require continuous updating in case of further research. Although the limited data, geographical and organizational limitations of the research require future expansion of the research, even in its current state it can serve as a basis for comparison in an international context. Due to the broad outlook, triangulation was applied by involving scientific and policy sources (Figure 1). FIGURE 1 Figure 1. Methodological logic scheme of the research. (Source: Compilation of authors.)
RESULTS AND DISCUSSION Answering the research question, the first one is: What opportunities can digitalization bring to achieve sustainability goals? In order to eliminate inequalities, the 2030 development framework tries to use all innovation tools to achieve the 17 development goals. In order to achieve the goals, lifelong learning is necessary for the individual, which will become available in the future with new educational technology solutions, e-books, micro-training, intelligent classroom training and other developments that are still in their infancy [3]. Innovation tools pervade the examined modernized education system and changes in the labor market, their development is also supported by official follow-up reports [33,34]. The possible distortion of the results of the empirical research, which is the basis of the study, stems from the depth of immersion and the limitations of data availability, so the reference to various reports serves to illuminate and strengthen the data in several directions. The fourth Development Goal, the process of realizing quality education, is supported by market expansion in the field of education, the appearance of typically North American development-led digital classrooms, and the latest game-based learning [9]. AI has already appeared in the field of personalized education and catch-up. By using quality educational basic data, it is able to provide assistance in the segment of education and the labor market connection and in order to achieve sustainability goals. The use of this support significantly affects the reputation and economic results of the given company, especially in the case of SMEs, the issue of education and the appropriate fulfillment of employee expectations is emphasized [23]. Based on the summary report of Cedofop [7], the joint work of vocational training, quality education, and educational technology developers generates catch-up in the knowledge-based society. According to the report of the World Economic Forum [35], the use of AI in the relationship between workplaces and the future of work is the key to increasing efficiency and competitiveness, as it is suitable, among other things, for the immediate sharing of technological knowledge. From the corporate reports of BDO, Audi Hungaria, IBM and NOKIA, it is possible to report on already implemented ESG steps and digitalization experiences, in which the importance of new essential employee skills, retraining, innovations, and the injection of the industrial application of AI with conditions can be seen [13,16,23,26]. In Europe, the evaluation of the workplace is an extremely important workplace expectation. The emergence of AI also significantly influenced the need for workplace stability. With the fourth industrial revolution, the direction of automation, the application of AI, new types of work appear, the rapid acquisition of which can be achieved with quality education, adaptability, a positive employee attitude, and retraining. AI still poses certain risks for the industrial environment, it needs further development, but it can also serve as a future solution to labor shortages. European Commission reports [15,36–38] report on EU ESG activities, steps taken in ESG ratings, reveal a coordinated plan for artificial intelligence, and convey a strategy for the transition to a sustainable economy. The results show that training platforms integrated with AI significantly support lifelong learning and corporate tracking of ESG objectives [39]. The W3Techs database, as a reliable source of information independent of service providers, presents us with a new emerging order of server usage, in which the leading role of English is not threatened now, but in addition to Spanish, German and Japanese, Russian and French also appear as content languages of increasing importance [40]. Many corporate ESG reports paint an overly optimistic picture of AI integration in education and retraining. These reports often emphasize innovation and productivity while neglecting ethical and equal opportunities challenges, or even practical application challenges, while current OECD and UNESCO reports highlight digital divides, algorithmic biases, and access barriers in low-income regions. These divergent realities highlight the gap between corporate ambitions and actual readiness. Education Technology How do the labor market and education respond to this AI breakthrough? What factors influence the success of AI implementation in labor market-oriented education? In the near future, EdTech (education technology) will undergo a complete transformation under the influence of AI, skills and competencies essential for the labor market will change [41]. Its success precludes short-term thinking during digitization processes, cooperative cooperation and a unified collaborative intention are emphasized expectations [42]. Among the market-leading solutions in the education technology of the future are products associated with cloud services, machine learning, and natural language processing [43]. Learning the benefits of flexibility, digital routine, personalized, motivating education, and group, cooperative learning is justified. We need transformative competences and the ability to compromise. In a knowledge-based economy, the acceptance of lifelong learning, even with the use of micro training, is essential for systemic thinking [44]. Cloud services, machine learning and natural language processing are becoming the number one application among the tools that support education, and accordingly, a vigorous increase in value can be forecast in the field of the educational technology market. The market worth 123.40 billion dollars in 2022 and 142.37 billion dollars in 2023 is expected to grow at a compound annual growth rate (CAGR) of 13.6% between 2023–2030 and reach 348.41 billion dollars by 2030 [45]. The popularity of e-books is also increasing, as they are available anywhere, can be translated into different languages, and the possibility of tutoring online is becoming more and more popular [46]. The Texthelp Ltd.’s new development result—documents available in OrbitNote-pdf format with voice notes, also available for the visually impaired—represents an opportunity to create equal opportunities [32]. The “Intelligent Classroom” project is a digitization experiment, during which new technologies are used with virtual learning. The development and impact of interactive parts, augmented reality (AR) and virtual reality (VR), as well as AI and IoT (Internet of Things) are motivating. The concentration of the educational technology market and the prominence of its characteristics are illustrated in Figure 2, which shows the high level of innovation and the significant impact of technology on the change of education, as it can already serve individual needs. There is an increase in investment in the sector, and traditional classrooms are being transformed. The business share rate in the area is high, reaching 68.55% of global revenue. Concentration, partnerships between institutions and content developers represent new potential for digitization, industry competition in the field of educational technology market is becoming more intense [45] (Figure 2). FIGURE 2 Figure 2. Educational Technology Market—Industry Competition. (Own editing, based on [45].) A problematic point, the data protection of the students participating in the training, is also guaranteed by law, due to EU regulations, EdTech is subject to the GDPR (General Data Protection Regulation). During the Smart Classroom project, advanced technologies based on virtual learning are used [45]. The use of AI in education raises several ethical and data protection issues, such as excessive collection of student data, algorithmic bias, and lack of transparency in automated decision-making. Although the EU GDPR regulation contains strict requirements, many EdTech systems do not fully comply with these principles. The ownership and management of data collected by AI is a particularly sensitive issue, which also affects student rights and equal opportunities in education [46,47]. Open online courses (MOOC—Massive Open Online Course) that provide the opportunity for mass participation are mostly free and may require registration. These interactive forums appeared in the Anglo-Saxon areas in 2008 and spread from there in the field of distance education. The MOOC became really popular in 2012, and the reason for this is the quality of the material covered, the commitment of the instructors and the interaction between the participants in the training, but the issue of ethical use and free access is becoming an increasing problem [45,48,49] (Figure 3). FIGURE 3 Figure 3. Traditional education—distance-learning position. (Compilation of authors, based on [45].) As a result of digitization, digital classrooms play an increasingly important role in the education segment. In 2022, 36.64% of the profits of the EdTech sector were controlled by North America and according to the forecasts, it will maintain its primacy, the new trend will be game-based learning [45]. EdTech investors came from China, the United States, Europe and the United Kingdom, and the amount of their investments already reached 20 billion dollars in 2021 [48,50]. Since the server is essential for digitization, the popularity of server locations will also affect the technical development of the given country. According to the popularity ranking based on server usage, in 2024, 1st is the United States with 33.8%, second Germany with 11.3%, and 3rd France with a value of 5.5%. Where the most popular content languages are tied? Based on the February 2024 survey of the World Wide Web Technology Surveys, among the content languages, 1st English 51.2%, 2nd Spanish 5.6%, 3rd German 5.0%, 4th Japanese 4.6%, and 5th Russian with a usage value of 4.4%. The fastest growing content language since February 1, 2024 is German. As of June 1, 2024, French replaced Russian in the 5th place [40] (Table 1). TABLE 1 Table 1. Emerging content languages. The intersection of education and AI has countless possibilities, including personalized education and catch-up, but the risk factors are currently unknown [51]. Visualization according to individual needs can be created with the help of the Education Databot AI-enhanced data visualization tool, which uses SDG 4 data in order to present educational data with a higher quality. The data visualization of OpenAI GPT-3.5 Turbo and Azure OpenAI API is also specially based on UNESCO statistical data, using the data of the fourth sustainability goal (quality education) during its operation [52]. According to international research, educational technology developments related to SDG 4 objectives have produced a number of measurable results. In countries where AI-based, personalized learning platforms have been introduced to develop basic skills, students’ reading comprehension and mathematics performance have improved by up to 12%–20% compared to traditional teaching methods [53]. Another positive result is that distance-learning programs supported by digital tools, for example in Nigeria, have increased access to education for disadvantaged students, thereby reducing learning inequalities [54]. These results show that well-designed EdTech interventions actually contribute to the global advancement of quality education. Although market research data (e.g., Grand View Research, W3Tech) predict rapid growth in the sector, they do not sufficiently address the issue of regulatory and pedagogical integration. There is little information available on how these technologies will actually be implemented in educational practice, or how their impact will be measured beyond financial indicators. Despite the goal of quality education, studies on educational innovation rarely address ESG frameworks, while sustainability-focused research does not address the technological and pedagogical aspects of AI-based education. This is a significant interdisciplinary gap and may support the need for integrated models. The importance of SDG4 is emphasized by many sources, but few studies discuss the long-term risks, such as the decline of the teacher role, the lack of transparency in data collection for educational purposes, or even the suppression of critical thinking. These undervalued aspects reinforce the need to evaluate technological developments according to normative, value-based criteria, not just economic performance. Labor Market-Employees What impact does AI-based educational technology have on the skill level of employees? How sustainability is reflected in educational technology ESG reports? The intertwining of education and the labor market is not new, the formulation of a common sustainability direction is essential. The sustainable financing package adopted by the European Commission in 2021 is ESG tries to capture non-financial risks and opportunities through reporting obligations [37]. The EU's Corporate Sustainability Reporting Directive, which entered into force in 2023, and the Sustainability Reporting Standards, which govern reporting requirements, require companies to regularly disclosing information on the environmental and social impacts of their activities, sustainability operations and performance [55]. According to a survey conducted by BDO Hungary's financial consulting group, companies in the region believe that ESG points of view cannot be avoided either, but compliance is still in its infancy, although 83% of the surveyed companies predict that it will have a major impact on their business results and reputation. 40% of the regionally surveyed companies would be happy to spend even more money to achieve ESG goals. 77% of large companies focus on energy and green energy investments, SMEs focus more on social areas and 15% more consider education and further training to be more important areas [23] (Figure 4). FIGURE 4 Figure 4. How would companies change their ESG spending in the future? (Own editing, based on [23].) AI tools suitable for sharing the latest knowledge have also become unavoidable from the point of view of the labor market. ChatGPT is already suitable for increasing global GDP. The rate of growth can reach up to 7%, since ChatGPT can simultaneously replace up to 300 million full-time workers. AI greatly threatens the jobs of employees in higher positions, while previous forecasts clearly predicted the mechanization of physical jobs. Automation can appear only as a supplement to the workforce, it can increase demand and generate jobs, and the increase of capital and workforce stimulates modernization. Technical scientific possibilities are not equivalent to technological reality, the quantified value of human work will be determined by the entry limits of the given role, which are generated by education and training [56]. The AI designed by Artisian AI is already able to integrate into the work of human teams, and in the future, the “Ava” development, which is an improved version of Chatbots, is suitable for replacing what people call boring jobs, including sales jobs [57]. Market competitiveness can only be improved by rapid adaptation to new trends. In a world dominated by AI, interpersonal skills, empathic and creative skills are becoming more and more important, making the given employee valuable. Christopher Pissarides [17] in connection with the research of science, technology, engineering and mathematics (STEM) subjects warns that the summarization, comparison and innovative application of data will make AI even more advanced, so that developers will soon become indispensable for the first time. With the development of AI, the need to fill areas that cannot be replaced by AI may increase, since creativity, managerial approach; empathy cannot be replaced with technical solutions [55,58]. In order to create a competent layer of employees in the workplace, a quick reaction is necessary, further training is replaced by retraining, which requires a much shorter time [59]. Retraining must be included in the company's strategy, since efficiency and productivity can be increased together with raising the qualification level of the workforce. During mentoring, Generation Z expects individual talent management and challenges during international projects, research, and professional internships [60]. The management of the process, which is also a compulsion for employees, can only be achieved through effective cooperation between the state apparatus, companies, businesses and the education sector [61]. According to experience, company managers most often ask employees about workplace development, training, and digitalization through surveys and questionnaires [62]. Based on the results of the surveys, the company's commitment to the development of its employees becomes measurable, possible shortcomings and areas to be developed in the adaptation of new technologies are also revealed. Staff training and development programs, their efficiency and participation rate in the field of new technologies can be monitored. Most of the information can be found on the companies' websites, in their annual reports, in reserved places. It is of informational value what kind of training, training or other development opportunities companies offer to their employees in the fields of innovation, and it is also worth considering the opinions and research of industry analysts and experts [63]. According to Randstad's market survey (Employer Brand Research), the most important employee expectations in 2024 are wages and other benefits, work-life balance, workplace stability, workplace atmosphere, fairness initiatives, fair development and career opportunities. Based on the data, the content of the work and the general perception of the company are more important in Europe than in Hungary [64]. The transformation of the labor market is indicated by the fact that, as a result of the application and advance of the fourth industrial revolution, AI, every fifth job will disappear in the future. This tendency must be responded to quickly due to the macroeconomic trends, the increase in the cost of living, the lack of supply, rising input costs and the process of slow economic growth. It can be a solution that the most dynamically growing function is performed by technology, digitalization and sustainability [65]. By 2025, almost 50% of jobs will be automated if the given conditions are created, and 65% of students still studying in the education system today will work in a new type of work [35] (Figure 5). FIGURE 5 Figure 5. The future of work. (Compilation of authors, based on [35].) In the future, due to the important role of mastering new technologies and the skill defect of the workforce, a 10% increase in the education division can be forecasted in vocational education and in the university and higher education segment. Analytical and creative thinking, flexibility, motivation and self-awareness, curiosity and lifelong learning will become indispensable for the employees of the future. Adaptability, reliability, analyzing details, technical literacy, cooperation with others, empathy, leadership and quality control complete the top 10 list of expected basic skills, the level of the most important skills can be improved with education. Developing the workforce and attracting talent are definitely management tasks. The role of young workers in the economy would show enhanced value, but currently their potential lack of employment can be monitored. Negative values can still be detected in Eastern Europe, while a positive shift is already visible in Northern, Southern and Western Europe [65]. Compared to 2019, the employment deficit in Northern, Southern and Western Europe improved from −5.5% in 2020 to 1.0% in 2022, and in Eastern Europe, it changed from −7.2% to −5.3% in 2020. The above data are estimates until 2021 and forecasts for 2022. Young people represent the age group 15–24. The values show a favorable process, but the improvement is not yet at a sufficient level [66] (Table 2). TABLE 2 Table 2. Employment deficit of young people (15–24 years old) compared to 2019, 2020–2022, by region of Europe. According to the latest forecasts, the earth's population is expected to peak at 9.73 billion people by 2064, by 2100 it will decrease to 8.79 billion people, and by 2050, a third of the 15–24-year-olds will be of African origin, who will enter the labor market as employees [67]. Productivity is declining worldwide, which the use of AI can improve. Due to the aging of the population, the peculiarity of young people, the fluid intelligence necessary for creative problem solving, is also decreasing, digitization can be the solution to replacing the workforce and increasing efficiency [68]. In the past, aging already played a 35% role in the use of robots, especially in the extremely aging societies of Germany, South Korea and Japan, because demographic changes entail faster technological change [69]. Currently, AI may emerge as a strategic solution to alleviate labor shortages and sustain economic growth. There are regional differences in the impact of AI on the labor market. In North America, AI has been rapidly adopted, dominated by technology companies, and the survival of intellectual jobs is at a higher risk, while in Europe, the pace of AI adoption is slower and is implemented in a regulated environment. In China and Asia, AI operates with strong state support and plays a major role in manufacturing and education, while in the Global South and developing regions, the introduction of AI has been mostly delayed, and we can only talk about digital remote work [70–72]. The adoption of technological development fundamentally affects workplaces. Based on the analyzes of the Future of Jobs Survey, by 2023–2027 Digital platforms and applications are likely to be used by 86.4%, Education and workforce development technologies 80.9%, Big-data analysis 80%, and Artificial intelligence 74.9%, based on feedback [65]. The technological transformation of the workplace is not a future possibility, but a rapidly approaching reality. For companies and workers, technological adaptation is becoming an inevitable competitive factor, redefining the way work is done, organizational structures, and the skills required. The appearance of large language models (LLMs), is the next significant innovation change. Generative artificial intelligence (genAI), which will be important for businesses with new data generated based on previously created data, can increase productivity, but many people feel it is dangerous for society. According to Jensen Huang, the CEO of Nvidia, the development of artificial intelligence is reaching such a scale that within five years it will be able to pass tests that correspond to human thinking [73]. ChatGPT 4.5 may even surpass humans in the near future [74]. According to Nobel Prize-winning economist Christopher Pissarides, previously urbanization, then the entry of women into work, and now, on the threshold of the fourth industrial revolution, the emergence of a new resource (AI) are once again generating changes. First the power of steam, then electricity, the advent of computers and now automation, AI, which affects the transformation of the labor market. At the moment, robots cause an improvement in productivity, so the most sought-after employees will need IT skills, they must understand data processing, operations, logistics, and have engineering expertise. The reliable, creative employee who has sufficient self-discipline, but at the same time critical thinking, and thanks to his good communication skills can easily share his opinion with his colleagues and managers, continuous development and learning are valued, the love of new technology becomes indispensable [17,75]. Based on the interpretation of this forecast, education definitely forms the basis of economic growth due to higher productivity, innovation skills, and the diffusion of innovation, but a diploma is an increasingly less desirable condition. The attitude, ability to perform, potential inherent in the person, which is authoritative [76]. The application of AI in practice is no longer just a modernization tool, but a strategic tool for solving the most complicated problems [36]. Currently, however, AI is not yet suitable for the standards of industrial control systems (OT—operational technology), as it is not always accurate, which can be particularly risky for the industrial environment. Nokia’s MX Workmate, an industrial AI application developed for this problem, is able to perform an interpreter function, where, using the Generative AI Large Language Model technology, it will be able to translate technical language into common language and vice versa, colloquial expressions can also become suitable for control with its help, employees they will be able to control more complex systems even with lower professional knowledge. This factor can become one of the solutions to the labor shortage [16]. Although AI could potentially displace millions of jobs, it is more likely to play a primarily complementary role, as its introduction may be associated with high costs, social resistance, and ethical dilemmas. The issue of youth employment also requires significant regional studies based on the assumption of heterogeneous competence levels and employee diversity.
CONCLUSIONS The primary aim of this study was to examine sustainable and responsible educational technology efforts and the cooperation of artificial intelligence for the sake of future workers. The study helps to introduce new thinking frameworks, even if it does not offer strong statistical analysis. The empirical foundation was strengthened through a comparison of ESG strategies among Hungarian, German and Nordic companies. According to the results of this research, digital transformation fundamentally transforms the labor market. This is supported by Audi Hungaria’s annual report [13], which identifies flexibility, openness to new knowledge, lifelong learning, and the ability to adapt quickly as the most valued employee attributes in the production sector. In the organizational system, development is stimulated by employees who train themselves from internal motivation and motivate their environment, the role of retraining and further training is enhanced compared to traditional educational frameworks. Several practical proposals aim to stimulate development: the introduction of modular, micro-accredited training systems (e.g., EU DigComp, IBM SkillsBuild); AI-assisted learning path planning (Skill Navigator); the integration of technological and cultural practices (Tech+Humanity Labs); learning through practical experience (e.g., AI coaching), joint innovation incubators bridging education and industry (dual-innovation labs); AI mentoring programs for young people and early-career professionals; and the implementation of digital portfolio-based assessment (e.g., project work, blogs). The transformation of the educational technology market is also fundamentally influenced by regulations. Recognizing the influencing factors in the transformation is the company’s responsibility by creating organizational charts, using organizational network analysis, interactive joint work, and corporate synergies. As practical implications we can conclude, that the key to competitiveness is the ability to innovate, improve the portfolio, control efficiency, community engagement, and continuous motivation. Diversity is a key element of sustainability, and successful transformation requires flexibility, lifelong learning, the practical application of knowledge, and effective recruitment strategies within organizational development. It is in the self-interest of companies that wish to maintain their competitiveness to think about recruitment, primarily to develop with the help of dual training, even in the field of adult training and higher education, but important factors are the development of retraining, professional competences, soft skills, and shortened training programs. Universities are primarily looking for solutions and development results from a scientific point of view, while companies prioritize economic and industrial aspects. According to the research results, the theoretical process of digitization, AI, can make previous automated processes more efficient. From 2025, the report on ESG indicators will be verified by external auditors for compliance with CSRD. If the CSRD data is connected with the financial and production data, the formulation of correlations and directions in the primary stage will be successful. With the use of ESG data, it becomes necessary to localize the data points, connect the data, use AI, and then integrate the conclusions and measurement results into the planning processes. The most important research result of the study is that the fourth goal of the SDG (Quality Education), is compared with the latest educational technology, labor market, and AI-related current issues and the answers are supported by the latest practical data. The study provides evidence, supported by statistical data that the educational technology market is growing dynamically, the labor market is undergoing significant transformation, training is becoming shorter and more digitalized, and soft skills are gaining value. However, these developments alone are not sufficient. The literature review reveals additional challenges, such as the impact of AI on the workforce, the role of ESG in education, data limitations, regulatory lags, gaps in provision, skill shortages driven by AI, the digital divide, the ongoing need for educational reform, and new directions for research. The limitations of the research are that the results of the analyzes are specific to a narrow geographical area and only to specific organizations, and the data revealed for processing can accordingly only affect a small segment of the investigated areas. While the primary data reflect Central European trends, they can form the basis for broader comparative international studies. The future research direction is to expand the geographical boundaries of the research and the number of studied organizations in order to establish the most well founded conclusions. If we compare the test results with the existing literature, the novelty and the theoretical implication of the research is that the role of digitization is supported by a new, unique justification, which includes further innovative thinking and development ideas. AI is becoming an integral part of everyday life, but its use must be underpinned by responsible and ethical conduct from both developers and society. In the spirit of preparation for approaching full employment, effective competitiveness requires digitization developments, as well as the effective cooperation of innovative companies, educational institutions, and government agencies [60]. Developments designed to increase production volume are replaced by the management of labor shortages and the reduction of energy costs, the shift towards technological innovations, and the importance of retraining increases. Productivity within production can also provide a motivating force. Following the possession of system data suitable for the industrial use of AI, conclusions can be drawn and injected into the management process. Efforts concerning sustainable and responsible educational technology and labor market supply can become effective in cooperation with the use of artificial intelligence for the benefit of the workers of the future [11]. Future research should explore the long-term effects of AI on educational equity and corporate responsibility in different regions. In 2024, AI systems accounted for approximately 1%–1.3% of global electricity consumption, a figure projected to rise to 3% by 2030. This underscores the needs to explore energy efficiency and develop green AI strategies [77]. The study’s interdisciplinary approach to the future of education and he labor market transformation aims to address an existing research gap. Empirically, the critical comparison of secondary sources and the mapping of the literature all contribute to setting the direction of future research and point out the existing theoretical and practical shortcomings, according to which the full-scale introduction of AI has regional, industry, ethical, technological, and budgetary limitations, and the introduction of young people into the labor market may have varying results despite appropriate mentoring due to employee diversity and different levels of competence.
DATA AVAILABILITY All data generated from the study are available in the manuscript.
AUTHOR CONTRIBUTIONS Conceptualization and methodology, ZK, VGK and MKS writing—original draft preparation, ZK; writing—review and editing, VGK and MKS; visualization, ZK; supervision, VGK and MKS; All authors have read and agreed to the published version of the manuscript.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://wap.hapres.com/htmls/JSR_1750_Detail.html
|
[
{
"date": "2025/06/23",
"position": 61,
"query": "artificial intelligence labor union"
}
] |
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] |
Navigating Labor's Response to AI | Insight - Baker McKenzie
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Navigating Labor's Response to AI
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https://www.bakermckenzie.com
|
[] |
Some unions have begun negotiating their own safeguards to address growing concerns about the impact that AI may have on union jobs. For example ...
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As AI adoption accelerates across workplaces, labor organizations around the world are beginning to take notice—and action. The current regulatory focus in the US centers on state-specific laws like those in California, Illinois, Colorado and New York City, but the labor implications of AI are quickly becoming a front-line issue for unions, potentially signaling a new wave of collective bargaining considerations. Similarly, in Europe the deployment of certain AI tools within the organization may trigger information, consultation, and—in some European countries—negotiation obligations. AI tools may only be introduced once the process is completed.
This marks an important inflection point for employers: engaging with employee representatives on AI strategy early can help anticipate employee concerns and reduce friction as new technologies are adopted. Here, we explore how AI is emerging as a key topic in labor relations in the US and Europe and offer practical guidance for employers navigating the evolving intersection of AI, employment law, and collective engagement.
Efforts in the US to regulate AI's impact on workers
There is no specific US federal law regulating AI in the workplace. An emerging patchwork of state and local legislation (e.g., in Colorado, Illinois and New York City) address the potential for bias and discrimination in AI-based tools—but do not focus on preventing displacement of employees. In March, New York became the first state to require businesses to disclose AI-related mass layoffs, indicating a growing expectation that employers are transparent about AI's impact on workers.1
Some unions have begun negotiating their own safeguards to address growing concerns about the impact that AI may have on union jobs. For example, in 2023, the Las Vegas Culinary Workers negotiated a collective bargaining agreement with major casinos requiring that the union be provided advance notice, and the opportunity to bargain over, AI implementation. The CBA also provides workers displaced by AI with severance pay, continued benefits, and recall rights.
Similarly, in 2023 both the Writers Guild of America (WGA) and Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) negotiated agreements with the Alliance of Motion Picture and Television Producers (AMPTP) that include safeguards against AI reducing or replacing writers and actors. WGA's contract requires studios to meet semi-annually with the union to discuss current and future uses of generative AI—giving writers a formal channel to influence how AI is deployed in their industry. The SAG-AFTRA contract requires consent and compensation for use of digital replicas powered by AI.
The International Longshoremen's Association (ILA) has taken a more aggressive approach. In October 2024, the ILA launched a three-day strike that shut down all major East and Gulf Coast ports demanding, among other things, a complete ban on the automation of gates, cranes, and container-moving trucks. The ILA and US Maritime Alliance eventually reached agreement on the terms of a CBA a collective in early 2025, which includes a provision prohibiting the introduction of "fully automated" technology—equipment that operates without any human interaction. And any new tech implementation must be agreed upon by the union and employers; if they cannot reach consensus, the matter goes to arbitration.
Unions are also challenging the usage of AI before the National Labor Relations Board (NLRB). Recently, SAG-AFTRA filed an unfair labor practice charge to the NLRB against a video game maker, alleging the employer utilized AI-generated voices to replace bargaining unit work without providing the union with notice or the opportunity to bargain. The case is pending, and we are monitoring developments.
Across the pond, trade unions have been quick to react to the disruptive power of AI.
In Europe, AI is emerging as a key topic with trade unions and works councils
In the EU, AI in the workplace is a particularly sensitive issue—especially when it comes to its impact on jobs. The landmark EU AI Act is currently in its phased implementation stage, with key provisions such as a ban on prohibited AI systems and obligations on AI literacy under the AI Act taking effect in February 2025, and rules for general-purpose AI models and governance structures set to take effect by August 2025. While the EU AI Act does not ban job displacement by AI outright, it does contain several employee protections. Employers must consult with works councils before implementing AI, and in some jurisdictions, obtain their agreement. The Act also empowers individual employees by giving them the right to be informed when AI is used in decisions that affect them, to request explanations about how AI influenced those decisions, and to challenge outcomes.
In France, a court recently underscored the importance of treading carefully with employee representation rights with respect to AI in the workplace, even during testing and experimentation phases. In an interim order from the Nanterre Court of Justice in February, the court ruled that a company's early deployment of AI tools in a "pilot phase" occurred before the works council (CSE) consultation process had been completed. It therefore suspended the implementation until the consultation was completed and ordered the employer to pay damages to the CSE for the harm suffered.
In the UK, the conversation around AI and employment is gaining legislative traction. In 2024, the Trade Union Congress proposed an AI and Employment Rights Bill aimed at regulating how high-risk AI is deployed in the workplace. The bill would have required employers to consult workers before implementing such systems, ensure transparency, and provide personalized explanations for AI-driven decisions. Notably, the bill would classify dismissals based on unfair reliance on high-risk AI as "automatically unfair." Though the bill did not advance, it signals growing momentum in the UK toward incorporating worker safeguards into the AI adoption process. The independent AI Opportunities Action Plan commissioned by the UK government, published in January 2025, recognizes the change that AI will bring to the labor market. The report acknowledges the importance of developing life skills and educational opportunities for development, and also of diversity in the talent pool working in AI and data science.
In Germany, the deployment of AI in the workplace is closely tied to works council co-determination. While there is currently no specific AI-related co-determination, political discussions are ongoing about expanding the works council's authority in this area. In the meantime, existing IT co-determination standards apply. Under established case law, the works council has co-determination rights whenever an IT system is capable of monitoring employee behavior or performance—criteria met by most AI systems used in the workplace. Given this legal backdrop, employers are strongly advised to engage proactively with works councils and negotiate a framework agreement on AI which can help streamline co-determination procedures and provide legal certainty for future implementations.
Proactive strategies for multinational employers
In both the US and in Europe, partnering early with unions and employee representative bodies on AI can help employers avoid costly disputes and disruptions, including strikes. Proactive employers looking to reduce reputational risk and promote constructive labor relations can keep these best practices in mind:
Have a very clear understanding of the company's obligations under any applicable CBA and with respect to employee representative bodies. For US employers with unionized labor, implementation of technology (AI or otherwise) may be addressed in the CBA (whether in a management rights clause or elsewhere). Even if the CBA is not clear or does not explicitly address AI, partner with counsel to consider closely what the company's obligations may be, as it is conceivable there is no obligation to bargain.
For US employers with unionized labor, implementation of technology (AI or otherwise) may be addressed in the CBA (whether in a management rights clause or elsewhere). Even if the CBA is not clear or does not explicitly address AI, partner with counsel to consider closely what the company's obligations may be, as it is conceivable there is no obligation to bargain. Engage with labor early and anticipate concerns. Employers need not wait for contract negotiations. By way of example, in 2023, a global tech company formed a first-of-its-kind partnership with a union to address the impact of AI on workers. The initiative involved training union members on AI fundamentals and gathering their feedback to inform AI development, as well as both parties advocating for policies supporting AI-related workforce training amid growing concerns about job displacement and AI-driven inequality. Getting out ahead can eliminate the fear of the unknown and go a long way in building trust on issues related to job security, retraining and perceived fairness.
Employers need not wait for contract negotiations. By way of example, in 2023, a global tech company formed a first-of-its-kind partnership with a union to address the impact of AI on workers. The initiative involved training union members on AI fundamentals and gathering their feedback to inform AI development, as well as both parties advocating for policies supporting AI-related workforce training amid growing concerns about job displacement and AI-driven inequality. Getting out ahead can eliminate the fear of the unknown and go a long way in building trust on issues related to job security, retraining and perceived fairness. Promote transparency. Proactively involve unions and employee representative bodies in discussions about AI adoption, including its purpose, scope, and potential impact on jobs. Be prepared to articular the opportunities at stake clearly, including how AI tools can optimize work and working conditions.
Proactively involve unions and employee representative bodies in discussions about AI adoption, including its purpose, scope, and potential impact on jobs. Be prepared to articular the opportunities at stake clearly, including how AI tools can optimize work and working conditions. Collaborate on guardrails. Work with unions and employee representative bodies to establish boundaries on AI use that the employer may be comfortable with—such as limits on surveillance, algorithmic management, and automation of core job functions—while also exploring how AI can enhance, not replace, human roles.
Work with unions and employee representative bodies to establish boundaries on AI use that the employer may be comfortable with—such as limits on surveillance, algorithmic management, and automation of core job functions—while also exploring how AI can enhance, not replace, human roles. Conduct AI impact assessments and ensure compliance with applicable law. Before deploying AI tools, obtain legal advice on the application of emerging AI laws. Consider the tools' potential impact on job functions, employee rights and workplace dynamics. This can help identify areas where labor engagement is recommended.
Before deploying AI tools, obtain legal advice on the application of emerging AI laws. Consider the tools' potential impact on job functions, employee rights and workplace dynamics. This can help identify areas where labor engagement is recommended. Reskill and upskill. Consider offering training programs and career transition support to help workers adapt to AI-driven changes. Jointly developing and investing in these initiatives with unions and employee representative bodies can ensure alignment with workers' needs and alleviate fears of AI-related job displacement.
Consider offering training programs and career transition support to help workers adapt to AI-driven changes. Jointly developing and investing in these initiatives with unions and employee representative bodies can ensure alignment with workers' needs and alleviate fears of AI-related job displacement. Be prepared to bargain. Depending on whether AI tools materially impact working conditions, plan ahead, work with experienced counsel and solidify communication strategies to be ready if it becomes necessary to bargain with unions or consult with works councils.
For support developing your AI adoption strategies, including anticipating labor's response, please contact your Baker McKenzie employment lawyer.
--
1 New York's Worker Adjustment and Retraining Notification (WARN) online portal—used by employers with 50+ employees to submit the required 90-day notice of a mass layoff or plant closure—now includes a checkbox asking whether "technological innovation or automation" contributed to the job losses. If selected, employers are also asked to specify the type of technology involved, such as artificial intelligence or robotic machinery.
| 2025-06-24T00:00:00 |
https://www.bakermckenzie.com/en/insight/publications/2025/06/navigating-labors-response-to-ai
|
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] |
|
UK MHRA leads safe use of AI in healthcare as first country in new ...
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UK MHRA leads safe use of AI in healthcare as first country in new global network
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https://www.gov.uk
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[] |
... artificial intelligence (AI) in healthcare. The move puts the Medicines and Healthcare products Regulatory Agency (MHRA) at the centre of ...
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The UK has today (24 June) become the first country in the world to join a new global network of health regulators focused on the safe, effective use of artificial intelligence (AI) in healthcare.
The move puts the Medicines and Healthcare products Regulatory Agency (MHRA) at the centre of global efforts to get trusted AI tools safely into clinics faster – supporting earlier diagnosis, cutting NHS waiting times, and backing growth in the UK’s health tech sector.
By joining the HealthAI Global Regulatory Network as a founding ‘pioneer’ country, the MHRA will work with regulators around the world to share early warnings on safety, monitor how AI tools perform in practice, and shape international standards together – helping make AI in healthcare safer and more effective for patients around the world. Other countries are expected to join in the coming months.
The MHRA will draw on its leading work at home to help shape the network from the ground up. That includes AI Airlock, a global leading example of a regulatory sandbox for AI medical devices – which lets companies test new tools with the regulator before wider NHS roll-out. Early examples include AI models to help GPs spot lung conditions sooner and AI to support more personalised cancer care.
The MHRA has updated guidance and begun reforming medical device safety regulations, and continues to adapt them for fast-developing areas such as adaptive and generative AI. The MHRA is also working with researchers, National Institute for Health and Care Excellence (NICE) and the NHS to strengthen real-world evidence on how these tools perform in practice.
A signing ceremony to mark the UK’s membership took place today at Westminster with Science Minister Lord Vallance, MHRA Chief Executive Lawrence Tallon and Dr Ricardo Baptista Leite, CEO of HealthAI.
Health and Social Care Secretary Wes Streeting said:
“I’m delighted that the UK has been invited to become a Pioneer Country in HealthAI’s Global Regulatory Network.
“This recognition underscores our commitment to being at the forefront of responsible AI innovation in healthcare. As we implement our 10 Year Health Plan, cutting-edge technology will be crucial to transforming patient care and NHS efficiency.
“Working with international partners through this network will ensure we harness AI’s incredible potential, while maintaining the highest standards of safety and ethics.”
Science and Tech Secretary Peter Kyle said:
“The UK is leading the way in making sure AI delivers real-world benefits – from better care for patients to new opportunities for growth.”
“By shaping global standards and breaking down unnecessary regulatory barriers at home, we’re helping innovators to get trusted tools into the NHS faster, improving treatments for patients while growing our economy in support of our Plan for Change.”
MHRA Chief Executive Lawrence Tallon said:
“AI has huge promise to speed up diagnoses, cut NHS waiting times and save lives – but only if people can trust that it works and is safe. That’s why we’re proud to be leading the way, shaping how this powerful technology is used safely in healthcare here and around the world. From our AI Airlock testbed to new guidance on fast-moving tech like generative AI, we’re backing smart innovation that works for patients – and makes the UK the best place in the world to develop it.”
Dr Ricardo Baptista Leite, CEO of HealthAI, - The Global Agency for Responsible AI in Health, said:
“We are proud of this landmark collaboration with the UK Government and the MHRA. The UK has long been a trailblazer at the intersection of artificial intelligence and health, and we are honoured to welcome it as the first of ten pioneer countries in the HealthAI Global Regulatory Network, fostering global collaboration and shared learning in the regulation and scaling of AI for health. We believe the UK will both strengthen its leadership in this critical field and offer invaluable expertise to its peers, accelerating global progress toward equitable, AI-powered health systems that ultimately contribute to improving quality of life and well-being for all.”
Notes to editors
| 2025-06-24T00:00:00 |
https://www.gov.uk/government/news/uk-mhra-leads-safe-use-of-ai-in-healthcare-as-first-country-in-new-global-network
|
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] |
|
Bonus Episode: The AI Pivot: Seagate's Workforce Transformation in ...
|
Bonus Episode: The AI Pivot: Seagate’s Workforce Transformation in the Age of AI (with Patricia Frost & Ruslan Tovbulatov)
|
https://www.myhrfuture.com
|
[
"David Green"
] |
Bonus Episode: The AI Pivot: Seagate's Workforce Transformation in the Age of AI (with Patricia Frost & Ruslan Tovbulatov). What happens when ...
|
[0:00:00] David Green: Attend any conference and the key theme you'll hear rolling throughout will be about building a future-ready workforce. But what does that really look like when the pace of change outstrips traditional planning cycles? For Seagate technology, it meant making a decisive shift, pausing external hiring in favour of unlocking the potential already within, and it meant giving employees more than a platform. It meant giving them a map, a mindset, and the means to move.
I'm David Green, and in this episode of the Digital HR Leaders podcast, I'm joined by Patricia Frost, Chief People and Places Officer at Seagate, and Ruslan Tovbulatov, Chief Marketing Officer at Gloat, the platform partner helping to enable this shift. Together, we explore the story behind Seagate's internal talent marketplace, TalentLink, how they built trust and transparency across the organisation, and what it really takes to embed AI in ways that resonate with the workforce, not just leadership. This is a conversation about technology, yes, but more importantly about trust, purpose and building the conditions for people to thrive in a world of constant reinvention. So, what does it take to future-proof your talent strategy in a time of disruption, and how do you bring your people with you on that journey? Join us as we explore the answers together.
Patricia, Rus, welcome to the Digital HR Leader podcast and Rus, welcome back for the second time. To kick things off, please can each of you share with listeners an introduction about yourselves and your respective roles at Seagate and Gloat. Patricia, I'll come to you first.
[0:01:53] Patricia Frost: Oh, well, thank you, David. And first and foremost, just a little bit about myself. I would describe myself as a people leader. I'm a mum, an army veteran, outdoor enthusiast. That's where I get my passion, is being outside. And I have had the honour to lead people at all levels, all team sizes for over 40 years, and 32 of that being, of course, in the army. And now, I get the honour of leading at Seagate Technology. For those that don't know what Seagate Technology is, it's a global manufacturing company. We actually develop and produce hard disk drives. So, think mass capacity storage. Also think about external storage to your laptop or desktop. So, we pretty much probably touch everyone listening on this call, whether personally or professionally, because it's the world's data. So, just very excited to be here. And my role actually encompasses HR, communications, culture, community, occupational health and safety, environmental health and safety, sustainability, security. It's kind of anything that touches people, as soon as you walk in the door, or whether you're a remote worker, and it's just a fascinating job to have.
[0:03:06] David Green: Rus, if you'd like to give an introduction to yourself to listeners as well, that'd be great.
[0:03:11] Ruslan Tovbulatov: Yeah, thank you for having me again, David, and really great to be with you, Patricia. So, yeah, Ruslan Tovbulatov, I run the marketing here at Gloat. And not only do I have the privilege of telling Gloat's story, but I have the even bigger privilege of working with some of our top partners and some of the most forward-thinking companies on the planet, I would say, like Seagate and Patricia and all the work they're doing, and Gloat. And we've been really trying to help organisations navigate change through years, almost a decade now of disruptions that we, as enterprises, have to think about and endure and thrive through. In a way, started with COVID in a big way, where a lot of companies needed to redeploy talent, drive internal mobility, figure out how do we adapt to the changing environments and needs of a COVID in a post-pandemic world. Then, we went through the great resignation, helping companies retain talent and skills and grow that talent, so they can make sure they were prepared for the future. And now, increasingly the conversation is about the AI transformation that every company has to endure. And it's been a lot of fun, but also a huge challenge, obviously, every step of the way. How do we help enterprises like Seagate, and partner with them very closely, both from a technology and a change management standpoint, to thrive through all of these changes? So, we'll get into all of that, but I'm really excited for the conversation.
[0:04:31] David Green: Yeah, thanks, Ruz, thanks, Patricia. And actually, you've teed that up perfectly, Rus, because as you just talked about really, over the last six or seven years really, through the pandemic, immediately prior to the pandemic and then since, it's been a huge time of transformation and change, and obviously a lot of conversations around skills-based workforce planning. Internal mobility is a big focus, particularly as the labour market pool starts to shrink. They've taken centre stage and now obviously, as you said, the advancement of technology, AI, agentic AI, we're seeing more organisations really start to prioritise this. Patricia, I'd love to hear your take. What sparked the transformation that you've undertaken at Seagate?
[0:05:12] Patricia Frost: So, mine was, you come into a new position and you do an evaluation, and I was doing lots of listening sessions. And the number one thing that was being mentioned across our global company, and this was about five years ago, was a lack of transparency on requisitions that were open at Seagate. And Seagate managers tended to go externally first. And my objective was that I wanted our employees to be the first to see a requisition open. But we know, it's human nature, if an employee is looking for a new opportunity, they're already on LinkedIn, especially here in the United States, looking. So, I needed a platform where it was them looking within Seagate first. So, I wanted a platform that could kind of be our LinkedIn. And so, they could see their career, which is why we called it Career Discovery in its first phase, so they could discover career opportunities at Seagate. And managers had to be willing to allow them to depart their organisation to have that opportunity. That's another challenge.
But it really was to be transparent. And I had the support of our CEO and we had a mandate for how many days a requisition had to sit on the internal platform before a manager could even go externally. And I also knew that our employees, they knew our business processes, they knew our culture. They also knew we're a pretty large company, so they had teammates. And so, they knew how to get things done. If you bring in someone externally, yes, they'll bring new skills, new talent, but their learning curve is pretty steep, 90 to 120 days. So, just let's truly focus on the team we have and give them that opportunity first. So, that was my goal when we first rolled out the platform. And we went all in. Many companies did only projects first. We did projects and open positions. And we said, "If we're going to do it, we're opening the whole thing up. And we want everyone to see everything from projects to mentorship, to positions that were available".
[0:07:27] David Green: It's crazy, isn't it, that it's easier in some companies to get a job if you're an external candidate than it is if you're internal to the organisation and you've got a track record of success over a number of years. And I guess that your objective was to flip that effectively. And there's enough research out there that tells you that not only is it cheaper to hire internally, but the time to productivity, as you highlighted, Patricia, is less. These people are already embedded in the culture as well. Russ, I presume this is a common story that you heard from the companies that you've worked with at Gloat?
[0:08:04] Ruslan Tovbulatov: Yeah, Patricia has given me many quotes over the years that I proudly steal, but one of them, and I'm going to steal your thunder here, is that, "You have to win with the team you have". And you can hopefully share some of that story of where you got that quote, I won't steal your thunder on that. But it's just so core to the belief system that we have at Gloat. And I really believe that as a manager and a people leader myself. I think so many times, we think that we can solve the problems by some kind of external solution, whether that's a hire or a platform, or in the marketing world, it's always more technology. But in reality, it actually starts within. You have to really take advantage of the people and the technology increasingly that you already have. And that's the question, are we getting the most out of that?
So, for us, that's one of the reasons this relationship has worked so well, is I think from the beginning, Patricia really understood the value of not chasing some shiny object externally, but let's look at the people around us. Let's look at not even the skills they already have, but what skills are they willing to have? What are their passions and interests? And what is the capacity of those people? And we'll get into some of those conversations, but I think that philosophy almost has to underpin everything. I think even as we transition to the AI era, I actually think that becomes even more important, to make sure that our people are as equipped as possible to do their best work.
[0:09:24] David Green: That's really good. And Patricia, I'm going to let you expand on that story, because I think it sounds like definitely one our listeners will want to hear. So, I'll ask the next question as a two-part question, really. Please, obviously, expand on the win with the team you have; and then, maybe a wider, a big part of enhancing internal mobility is transparency. What are some of the barriers that you needed to break down to make that happen and win more with the team that you have; and how did your partnership with Gloat help that change?
[0:09:53] Patricia Frost: Right. So, it goes from being in the military. And in the military, you have to know the team you have. And we're going to talk about the next phase of Gloat and Mosaic. I'm so excited with where they're going and the opportunities. But to really know, managers have to know their team. They have to know the strengths of their team, they have to know what gaps they need to fill, and those gaps can be filled normally within the company itself. So, if you go to an army, platoon, company, battalion, we don't get to externally hire and say, "Oh, I'm missing a rifleman, I'm missing a sniper". No, you have to go train for that skill. That's not something you just throw someone into the mix.
So, you go to war with the team you have, I've been to combat several times, and you win with the team you have. And you're going to build on the strengths of that team. And that's signs of a good leader, that you're developing, you're growing, you're looking for those opportunities. Yes, you may have to pull people from different units, but you're still pulling from within the same organisation, the same company. Like, I could reach across to another function and pull someone with that skillset I need, but it's still from within seeking. And so, that's really powerful. And your team appreciates it when they know you're looking internally first, that you recognise their skills. Now, it does require you, as an individual, to want to upskill, to continue to be that learner, be curious, be challenged. That's what we're going to hit in this new era of AI, are you willing to learn a new way to work? It's not taking away your job, you're going to evolve how you do work.
So, for managers in the very beginning, if you focus on internal mobility, it is that kind of, "I want to hoard my talent. I have the best team, therefore, I don't want to let any of my team members go". But at the end of the day, your talent is, for us, it's Seagate's most precious asset. It's what makes us unique, the talent, the skills, the innovation, the hundreds of PhDs that we have in the company, those that don't even have the paper, but they're actually at the same skill set of someone with a PhD because they've done that learning through experience. I mean, you have to value your people. And I think if you get managers to let go and realise they will still be successful and you're actually helping the company grow by allowing that person to move, because if you don't, Seagate is going to lose that person. Not only you, the manager, are going to lose that person because they're going to go externally to the opportunity they're looking for, but Seagate's going to lose that person, your company's going to lose that person.
So, I think just getting managers to let go and realising that every time you bring on a new team member, gives you an opportunity to maybe lead a little differently.
[0:12:57] David Green: That's a shifting culture from maybe what you had before, where people would look outside. And obviously, as you said, for individuals, make them curious, make them focus on continual learning so they can develop their careers within the organisation. Within managers, it's to enable that and to not hoard talent, as you said. How did Gloat help you make that change?
[0:13:18] Patricia Frost: So, it gives you a platform to actually see your people. You can actually search. It does matching. So, it's already prompting individuals to say, "Hey, there's an opportunity, there's a project, there's a position". It allows managers to actually see it. And it's doing it where it's not just that paper resumé. There are things that if an employee puts in the information correctly in their profile, they can talk about passion. I could have an HR business partner who actually does Python programming in their personal time. They can input that into the platform. A manager would never know that. Or someone who is in sales and marketing, but is learning other things in law. Or it just goes across every function, which is just so powerful, because we all have our life that we were hired for, that we come to work, we were hired for this position; but we're all bigger than just that one position. We are all learning on the outside. We all have activities and passions, and the platform allows you to put all of that in there and enrich who you are as a person and who and what skills you can bring to work that go beyond what you were hired for.
I think also, it's a living platform. It's something that can be updated all the time, which is, again, very powerful.
[0:14:55] David Green: And, Rus, turning to you, I know you wanted to react to what you heard from Patricia there, talent mobility increasing. And Gloat really coined the term, Talent Marketplace, which has become more commonplace since you coined that, I don't know, back in 2017, I think it was. What are some of the other things that you've seen to solve that problem or challenge that Patricia's explained?
[0:15:23] Ruslan Tovbulatov: Yeah, David, you know your stuff. It was 2017, as early as back then where we started this talent marketplace movement. And we've evolved quite a bit since then, which we'll discuss. And Seagate's been a great partner for almost a large part of those years. But there are a number of things that Patricia said that I actually really want to underscore. One is this idea of the role of technology in all of this versus the mindset and the culture change that needs to happen. And I think it's really important for organisations to realise. I think that's increasingly happening. You're being forced to do that, I think, in the world of AI, where it's all shared talent. This idea of the traditional job structure or org chart, and that you report to one person or you have one career ladder. Anyone that was resisting that, I think it's all getting completely blown up now in the world of AI. You have no choice but to adapt to just say, "We have to approach things in a more agile way". We can't rely on the job architecture or traditional structures or the mindset that, "This is my team and no one else's". I think that's such an important piece of this, the culture change that needs to happen, I think it's going to be more important than ever.
Then the technology. What's interesting about this is in many ways, some of these conversations, you could say, "Well, we've had internal job boards forever". But what had to happen actually is the philosophy had to get implemented into technology, meaning you can't build a system that's built on a traditional job architecture and think it's going to be dynamic or agile. So, one of the first things we did, and I think all of the new breed of technologies that are AI first have to do, is to build with AI first from the foundation. So, we, from day one in 2017, actually built what we called the Self-Evolving Skills Ontology. Before skills-based organisations were a thing, we knew that the currency cannot be the job. It can't just be looking at a resumé and matching someone to a singular job in a full-time position. We needed to actually have more data to make more informed decisions. So, we started looking at things as basically, the workforce in the currency of skills, and we built an AI to match that, based on skills, the right opportunities to the right people.
But what was most fascinating, and Patricia alluded to this, is when organisations started seeing the power of breaking down work in new ways. So, if you start realising, wait, when someone goes on maternity or paternity leave, maybe we don't have to just backfill that entire role. Maybe we can break that up into five or six responsibilities and actually backfill parts of it. Or when you need to launch a new product in a new region, maybe we don't need to go through the entire hiring process to just launch that one new brand of ice cream, or improve our infrastructure -- it's a true story -- is improve the infrastructure of our trading platform. Maybe we just need some part-time help from experts. And once companies started doing that, you started seeing all this incredible data emerge around deconstruction of work, the skills, and then now increasingly, the technology that companies have to bring to bear. So, once the mindset is there, wait, we can use all of these things to get work done, the technology then enables a lot of that.
So, we're starting to do a lot of that work. Patricia alluded to this product, the suite that we're working on with them, called Mosaic, and we really see that as the next iteration of the talent marketplace. So, we'll get into some more of those details, but I wanted to underscore some of the points that Patricia made.
[0:18:53] David Green: This episode of the Digital HR Leaders podcast is brought to you by Gloat. A new kind of workforce is emerging, one of people and AI agents working side by side. But while every executive is investing in AI, few are unlocking its real value. Why? Because real transformation doesn't come from technology alone, it comes from the people who know how to harness it. That's why Gloat built the world's first work and workforce operating system for the AI era. It's how leading enterprises are evolving their workforce into exponential contributors, people who can orchestrate AI, tech and skills to work at 10x speed, operate with AI fluency and stay ahead of change. With Gloat, organisations like Seagate, Novartis and Standard Chartered are turning AI hype into real productivity, by embedding it directly into the work people do and unleashing the full power of human AI teams. To see how your organisation can thrive in the AI era, visit gloat.com.
What made you choose Gloat over any other vendor, and maybe continue that partnership in the long term as well?
[0:20:24] Patricia Frost: So, first, it's the people that encompass Gloat. So, they put the customer first, which we're the customer, right? They're trying to empower us. And they take all of our feedback, positive and negative. It's just this constant relationship of, "This is working, this isn't working. Why? Is it on our end? Is it on your end?" And they don't get defensive about it. I mean, they really want to grow the platform, and then AI is just constantly evolving. And the fact that they're not sold on just this one iteration of their product, they're actually helping us solve our most critical people problems, right?
But I will tell you, and I said this the last time we were together, this is not an HR tool. I have to say that just very strongly, emphatically. This is an employee tool, this is a people-leader tool. This empowers the individual and empowers the people manager. It is not something that sits very exquisitely over in the HR world. This is to empower an employee to own their career, to own their development, their talent, which gets to our new -- we went from Career Discovery to TalentLink, because it's about everyone's talent. And the link is how we connect everyone. So, this isn't just something sitting in HR. This is truly to empower down to our most junior employee, up to the top leader, to see the organisation, but to allow everyone to see themselves, to have a long and very, hopefully, what I hope, a prosperous career at Seagate.
[0:22:10] David Green: Rus, I've been fortunate to attend and speak at Gloat Live, and I've spoken to a number of your customers. And what Patricia highlighted there, the fact that you want to learn the good and the bad and the indifferent, and you're learning with your customers, I certainly see that as one of the reasons behind the growth of Gloat. Is there anything else that you'd like to highlight to listeners?
[0:22:32] Ruslan Tovbulatov: Well, Patricia and the team have been such a great partner. And I think her quote, that's another very prominent quote that I use often, because I think what Patricia has stated is what I think the leading companies that work well with us get, which is, "You can't approach this as an HR problem. You have to approach this as even a business problem". I think she said that at Gloat Live, our conference, and that really is near and dear to us, because the technology isn't built to be for HR and admins. It's meant for every employee, every manager and business leaders up to the C-suite. And what started absolutely as a career discovery and mobility tool, now all of that data is being used to power real work getting done. I look at some of these projects, they're not just developmental or fun things. It's not back-office stuff that people are doing just to put in. This is real work, like billions of dollars of productivity being unlocked, because you have people coming together to literally launch new products. In the pharma space, we've seen a project team actually come together to launch an entirely new drug on the platform. In technology companies and CPG companies, we see new products going to market. We see partnerships with third parties coming to life because of the platform.
So, I think Patricia's seen that and Seagate knew that from the beginning. Another thing that I always love, and I quote her, I think she was the first person to actually challenge us on the word 'project'. She said, "Guys, I think you're underplaying what the platform can do, because it's not a project, it's work. What you're doing is delivering work and work execution. And so, we need to almost rebrand this whole thing because it's not just about a project, it's about something more about getting work done". And so, that mindset, I think, has been so great with our relationship. And I think anyone that's been successful, I think, has that mindset.
Then quickly, the other piece, I think it's just important maybe now to say this, because Patricia reminded me. One of the reasons I think she's such a strong leader, and I just see the way they operate and how HR is positioned, not just as the HR department, but a core part of the business at Seagate, is partly because of the mindset that I think Patricia brings to her team. One of the things she said was, "It's not about perfection". And I think that's actually the problem with a lot of traditional HR processes. And I think it's actually what really hurt the skills movement, because people are still trying to get the perfect job architecture, the perfect career paths, and now the perfect skills ontology. But I think that is a futile exercise in a world of AI. The world is changing so much. It's impossible to actually build something that is perfect, because by the time it is, by the way, as I say, if you treat it like an academic exercise, it's going to be out of date. The book is already onto the next edition. And so, I think that mindset of agility and adaptability, I think is so important to anyone going on this journey. And Patricia has driven that in Seagate in spades, and I encourage everyone to really think about progress over perfection, especially in an AI world.
[0:25:57] David Green: I don't know if you want to respond to that a little bit, Patricia, because I'm certainly hearing that thirst for experimentation and continuing and doubling down on what works, but then maybe pulling back on stuff that doesn't work?
[0:26:11] Patricia Frost: So, we're going to roll out something new. So, when we're starting our fiscal year on 1 July, we do OKRs, Objectives and Key Results. So, as we roll out our OKRs, which is very manual, right, it's kind of static, they're not supposed to be static, but you write them up, you print them out. But as we put our OKRs as an individual, and then as a functional leader, into SAP SuccessFactors, we're then breaking down at the individual level, what are the tasks that you need to do? So, think about individual growing the company because it's all nested, it all links up. So now, that individual is looking at, "Okay, what do I need to do? How do I perform? What are my key results for this objective to be successful?" We're linking that with Gloat. I think Rus could talk about this. It will show us how you can get those tasks done with AI or where the human has to actually do the work.
But then we've also linked it to our learning platform, to Udemy, and if the individual needs to grow in a certain area for that OKR, for that key result to be successful, it will actually give them a learning path. So, think of that power. It's taking technology to empower you to be successful and what's going to grow the business. It still requires you to do the work. We may stumble a little bit as we launch this new aspect of doing the linking of the technologies, but we just rolled it out again. We did face-to-face rollouts in Thailand and Singapore just on TalentLink, because we need everyone to enrich their profile and go beyond just the resumé, enrich truly what they're passionate about, the skills they have, where they see themselves in the future.
We had, and I didn't get a chance to tell you this, I don't think you know, I think, so I got 90.7% updates in Thailand and our Thailand workforce. That's incredible, so that's first step. But then we need everyone, when they go in and do their OKRs, to actually see the prompts. And it's a one-click. They're in SAP SuccessFactors, they click, this will take them to a Gloat or into our TalentLink, or it'll take them to Udemy, it'll start to feed them. Because it's really about, people like to be in control, right, we know that. Humans like to be in control. So, what we're trying to do is give them that aspect where they control how they can be successful. But we're going to give them the tools to do that.
[0:28:50] David Green: I want to take a short break from this episode to introduce the Insight222 People Analytics Programme, designed for senior leaders to connect, grow, and lead in the evolving world of people analytics. The programme brings together top HR professionals with extensive experience from global companies, offering a unique platform to expand your influence, gain invaluable industry insight and tackle real-world business challenges. As a member, you'll gain access to over 40 in-person and virtual events a year, advisory sessions with seasoned practitioners, as well as insights, ideas and learning to stay up-to-date with best practices and new thinking. Every connection made brings new possibilities to elevate your impact and drive meaningful change. To learn more, head over to insight222.com/programme and join our group of global leaders.
You mentioned then, Patricia, TalentLink, and my understanding is you initially branded the platform, Career Discovery, internally but now it's TalentLink. Can you talk a little bit behind the reason for that shift?
[0:30:14] Patricia Frost: Yeah, I think in the beginning it really was about where we were on that journey of how do you see your career at Seagate, and it was very focused on internal mobility. And then, TalentLink is really everyone taking a moment to look at their talent, their skills, but talent means everyone. So, again, I go back to this isn't an HR platform, this is a platform for every employee. And then the link is, you can get matched with other people of similar interests, you can see that project's work that needs to get done, but it really is powerful for managers. And this goes back to my previous career of, managers have to be able to see their teams. And how do I empower a manager to go in and look at their team differently from a skills aspect, so they can really see what training do they need to bring to the team? Or if we have to go and externally hire, which we will do external hires, but we're doing that very surgically, what is it that we have a gap, and who are we trying that we think will augment and make our team better, not duplicative, but will actually grow our team, grow our talent base, help Seagate move with efficiency and effectiveness? So, I think for us, that's the TalentLink.
Then, Link to Me also links all the technology. So, we're not trying to throw a lot of technology at the employees. We're talking about three platforms we're linking together where it's one click. And it will show them the power of the technology that we're focused on. So, I think that's important, right?
[0:31:57] David Green: Yeah, it is. And, Rus, you might want to come in at this point, and just talk what that means from a globe perspective.
[0:32:04] Ruslan Tovbulatov: Yeah, I love this story actually, that Seagate has been on in the journey from Career Discovery to TalentLink. And one of the reasons I particularly love it is because I'm a marketer and I know the importance of positioning and what message that sends when a platform is launched, a technology is launched. And I think Career Discovery was the perfect name for the use case that Seagate had at the time. And if you think about what was happening post-COVID, great resignation, how do we empower people with the right careers, the advice I actually give to anyone doing any of these initiatives, whether it's with Gloat or anyone else, is think about the positioning to give yourself the most flexibility for the future. And so, I love MasterCard calls theirs Unlocked. Molson Coors just launched one called Untappd, which might be the most creative I've heard. And what that allows you to do, and that's why I love TalentLink, you just saw what Patricia did there.
When they renamed it TalentLink, I don't think we were even thinking about technology as part of the talent. But what that name allows us to do is we realise, wait, there are going to be technology agents as co-workers. That's talent. So now, this platform has this flexibility and the ability to actually adapt to whatever changes. Who knows what happens next, right? It's almost impossible to predict these days. So, I love that story and actually encourage anyone going on this journey, really be thoughtful of how you name the platform. You can always position it, and of course it's going to be about empowering employees and allowing them to discover opportunities and careers, all of that, but that can be a part of the story. As you think about all the different use cases for managers, for leaders, etc, the more flexibility you have at the top-level name, the better it is. And so, I'm really excited of the repositioning.
That kind of brings us to where we are now. What I think started, even for us at Gloat, as a platform to retain talent, to see opportunities within a company, it's become so much more, kind of like I was alluding earlier, where it's become a platform to get work done. And increasingly now, because of AI, the question of who gets the work done is as relevant as ever before, because it's not just about the talent on your team, the people on your team, or the people outside of your team, it's increasingly the technology that can support all of that. So, our belief there is the answer isn't just throwing more agents or more technology at the problem. It kind of is the same as we started the conversation with. It was never for us about external recruiting. I think actually, HR might have the same issue here to think, "Oh, well, we'll just get more agents or more technology". The key for us and in our partnership and how we're thinking about it is, how do you empower the talent you have and the people you have to wield this incredible superpower they've been given with AI?
So, what we're building, called Mosaic, is this new offering where it's taking the best of the talent marketplace. So, you see the skills, the ontology of skills, the ontology of the talent and the work, but also technology. And that technology, without getting too geeky, today might just be a foundation model, "Oh, we have access to Claude from Anthropic, or we have access to OpenAI, and that might help me with some writing or some creative". It could also be software, by the way. It could be Canva helping you with designs; it could be Copilot helping you actually as a partner thinking through things, or accelerating the work you're doing; and eventually, it becomes agents. And we're testing that even within Gloat, agents to actually automate entire workflows. But we really fundamentally believe that humans have to be the orchestrators of all of this. You almost have this orchestra. We believe humans are the conductors, but all of this is going to supercharge them.
So, we're really excited to be working with Seagate on this. And we have a lot of investment and thought going into this area, because we believe it's the logical, honestly, next iteration of what we've been doing for all these years, and is definitely what I think enterprises like Seagate could really benefit from, and people can benefit from, in this AI era.
[0:36:15] David Green: Really exciting, Rus, and thanks for laying it out. I actually think the two of you are both great marketeers, by the way, listening to the conversation over the last 30 minutes. Patricia, I'll let you respond to what you just heard from Rus as well, but I also maybe mix it with, let's double-down on the AI piece. I know you made a bold move at Seagate recently. You've paused hiring, particularly in the US, and reinvested that budget into AI tools for your people, as Rus explained there. I'm curious, what's the response been from your workforce so far?
[0:36:49] Patricia Frost: Maybe a little anxious, and I'm having a leadership team meeting next week to really lay out my strategy. And my strategy is like, "Before we go and do that external hire, let's take the resources from that rec, let's invest it in an AI toolset". So, for me, it's getting everyone the Office 365 license and the Copilot across all the platforms, because I need everyone to have the same advantage. So, right now for the last few months, we've had a team of 40 from my team and it's been really powerful, but I can get excited and I can go and say, "Hey, this is how I use AI as my thought partner, this is where it saved me so much time". I mean, literally I was doing a board presentation, it saved me over eight hours of work. I mean, it was incredible. And so, I can get excited, and then I look at my team and they're just staring at me and I go, "But you don't have the same capabilities that I have". So, it falls flat.
So, now is to say, okay, I need to uplift my entire team. I'm investing in this, and we are going to go on this AI Aware for another year that you all can envision, because it's the power of us. It's the power of every one of my employees to say, "You are going to rewrite how you work. This is not going to be pushed down from on high, we'll do it bottoms up. How do you look at your workflow? What are the tasks that you need to get done? Where can AI assist you? Where is it truly the human does the work? And let's rewrite our organisation and how we come to work". And I think that will take some of the fear away, because I think some of them are saying, "Well, if I take on these tools, my job's going to go away". No, your job is just going to evolve differently. And I need them to embrace agentic AI, and where do we feel comfortable that an agent can do work from one end to the next, and we are confident that it's delivering the right results? And so, I need them to think about their roles, because they're at the tactical edge. They're touching it, they're doing the work, so where can that AI truly assist them? And then we'll evolve what our work structure should look like and how we come to work and how our jobs evolve.
But I need everyone on the journey together and I want to be very transparent and I want to have these conversations. And I do think we'll have the laggers. I do think we'll have people who say, "I refuse". And unfortunately, we're a tech company, it's all about data for us. That may be a problem in the future. Like, if you just are going to be stubborn and say, "This is how I do my job", then that's another story, that's a different conversation we're having. But I need everyone to embrace it, and it's not going to be perfect, as Rus said, it's not going to be perfect. But let's look at where it can bring us the most value and empower us where we feel comfortable, and share, collaborate on the journey together. So, my goal, I hope, by the end of the year is we're really talking about how we're going to work differently. And to me, it's all about the growth of the company.
[0:40:34] David Green: And, Rus, just bringing you in here for a moment. Obviously, you're working with several organisations at Gloat, many of them also pioneering organisations, if I can say the word pioneering; I can now. What stands out about the way that Seagate has approached this transformation?
[0:40:53] Ruslan Tovbulatov: So, I love the way Patricia is talking about this. And honestly, it inspires me anytime I talk to her, and I talk to some amazing partners, like we have with Tanuj at Standard Chartered Bank, or the team at Mastercard, because the reality is, I think, HR is at a true inflection moment. We saw that during COVID, right? We said, how is HR going to step up during this digital transformation acceleration? And you saw that happen, right? HR leaders stepped up right next to the CEO. But this moment is a little bit more scary, I think, for HR, especially in the sense that I know this data I believe I saw from you, David, that only 7% of CEOs consider the CHRO AI-savvy. And what gives me hope, hearing people like Patricia, is that there are opportunities for HR to actually lead this transformation, not just get consumed by it. And let's be realistic here. There is a real battle going on between IT and HR right now. Because are you going to believe that the future of the workforce is all digital? Or do you believe that humans are going to be at the helm? You know what our belief is. We think humans have to be at the helm. But this interplay and collaboration between IT and HR and the business is so important.
So, when I hear Patricia speak, just the language she uses, the examples, the leading from the front, I think that's just so incredibly important for every leader listening to this and everyone in HR to really challenge themselves, how can we be the change agency and be partners to the business on a transformation that is happening, whether we like it or not, right? So, let's lead instead of being consumed by it. And then how we do it, I'll just quickly touch on two things and this could be a whole separate podcast, but I think the framework is actually still similar. I think there's a mindset and a technology thing here. On the mindset piece, Patricia again said this really well, and it's about people actually believing that this is something that can be good. And it's about the positioning, sure, top down, but it's people feeling empowered by this moment. And one of the terms we've been using is that we fundamentally believe that the age of the IC, the Individual Contributor, is over. Because every individual now can be an exponential contributor, because you now don't just have yourself or your knowledge, you have an army of resources around you.
I said, you have Canva for design, you have OpenAI to help you with copy, or CLAW to help you with copy with, if you prefer that. You have video creation tools that can create Super Bowl commercials now. I don't know if you saw that, but the NBA finals just showed a totally AI-generated commercial made in Google VEO. The world, if you just think about that as an individual, anything you dream up, you have the potential to do. So, there's a mindset thing that I think we need to support as leaders, but individuals also need to believe that this isn't about AI taking your job, it's about getting superpowers, and I really believe that. I know a lot of people will get impacted, there will be negative repercussions potentially, but if you approach it with the mindset, you can thrive through it and actually, I think, do more than you've ever imagined as an individual or even as a leader.
The second thing, and again I won't belabour this because we've been chatting for a while, but on the technology side, I think it's so important, as Patricia alluded, you have to create a, "What's in it for me?" for people. Just giving them more agents or saying, "Here's a Copilot license, figure it out", that's not how you drive literacy or mastery or inspire people to do it. You have to actually put it into the flow of work. One of the examples Patricia talked about is the prompting. Most people fail with AI, and there's a lot of data around this, of the millions, and actually tens of billions now being invested versus the actual impact companies are seeing and the actual adoption. There's a huge gap, which we're calling this AI productivity gap. And I think the reason for that is because people aren't being given these tools in the flow of work, or tied to the things they're trying to achieve. And so, that's our goal with Mosaic, is prompt a person, as they're trying to get work done they need to get done, with the right technology, and actually even give them the exact prompt to copy and paste. So, instead of them figuring it out on their own, here's a prompt you can copy and paste to get the outcome you want.
So, I think this idea of the leadership from the top down with people like Patricia really being the change agents here, not being afraid of it, but leading from the front, and then the mindset shift and the technology to power that, I think, are all really critical. And we're just really lucky to have a partner like Patricia and Seagate on this journey.
[0:45:32] David Green: Patricia, what does the next chapter of the journey look like? And actually, right at the start, you mentioned that you're not just responsible for people, you're responsible for places and communications, I think, at Seagate. Maybe you can talk a little bit to that as well, and how that helps you, as a Chief People Officer, maybe reach more parts of the organisation and its customers than it would as a more traditional Chief People Officer role.
[0:45:56] Patricia Frost: Yeah, I'm fortunate because I can see all aspects of an employee's life while at Seagate. And what Rus said, so we as CHROs, but everyone in the C-suite owns this, and I believe every people leader owns this, we own the employee experience. So, employee experience is the type of facilities you work in, the tools that you have, the technology, everything that's going to allow you to be productive and effective and efficient at work, right? That's not just a CHRO, we own the employee experience journey and every touch point, but that's every leader owns that. But I think this is where CHROs and their HR teams can really make an impact, is how is technology truly going to empower all these different jobs and functions that you have in the company? And if we look at ourselves first and show we're willing to change, and will people be impacted? Yes, they will, but what I'm hoping is they're impacted in a way because we're going to change their role.
Again, if you're not willing to grow, if you're not willing to learn, if you're not willing to develop into a new area, because the world is changing, that's on the individual. But I do think this is an area to where we can grow together. And I think we can. I'm hoping Seagate will be, in a year, that AI-driven company, and I hope we have developed AI-driven leaders and AI-driven employees, that they're not afraid, and we will give them the right tools. We're not going to throw so many tools at them, but give everyone the right tools. But you have to be willing to fail too. Like how many times do we add an app to our phone, and if within the first 15 minutes the app doesn't give us the right experience, we delete it? Well, employees will do that with software that we roll out in the company and AI tools that we roll out. So, just even with Gloat, as we went to TalentLink, we had to do those face-to-face sessions so they could feel the power of what it is.
So, really excited, because we rolled this out to our hourly workers, I call them manufacturing specialists because they do the bulk of the work at Seagate to produce our product, and this is really a passion of mine. We haven't solved it yet, Rus, you know this, is how do we get this technology into the hands of our workforce that doesn't sit at a laptop, doesn't have a desktop type device, and how we're going to lead them into this future? And we showed them TalentLink and the manufacturing specialists were so excited that they could see what skills do they need even at their level, because we are going to bring more factory automation and it's just going to keep evolving. Automation in the factories is going to keep changing. Well, they want to be on this journey too. So, that was really exciting to see them just get on. We had kiosks set up so they could log on and see what the future looked like. So, it impacts every worker, every type of worker. It's going to hit from our factory floor all the way up.
But I'm excited about the journey. I think we have to rewrite how we come to work. And I think companies, we have to be willing to fail, we have to be willing to not get it right the first time. But I always go back to what problem are we trying to solve, what technology we're going to try to use to solve it? After a year, if it doesn't work, toss it out, go try something else, right? And why have I been so excited about this relationship with Gloat? I mean, Gloat has been in the AI business for over a decade. You're seeing AI companies sprout, a lot of seeds have been planted and they're all sprouting right now and growing. But Gloat has been working in this space from the beginning, and they have evolved it and they have been learning, and it's not something that's a fly-by-night company. So, that's where I was so willing to make the investment. And they're willing to continue to modify. If they were sold on just, "This is it, this is the platform and you just deal with it", that's not who they are. And they're going to listen to us and give us feedback and we're going to keep automating things, like succession planning, how do we automate that? How do we automate our organisation talent reviews? I mean, there's so many opportunities to automate within the HR space, but that isn't just for HR. Those are for your people managers. That's for your teams to see themselves. So, I go, "This is us, as HR, to find the right technology that's going to help us get there".
[0:50:41] David Green: And Rus, before we wrap up, and I think you've talked a bit to this, as AI skills, talent marketplaces converge, maybe some insights on what you're seeing on other organisations, how Gloat is preparing for what's coming next. I know you've talked a lot to that at the moment. And maybe bring out something I think that I listened to there in Patricia's last answer around user experience. How are you thinking about user experience at Gloat?
[0:51:07] Ruslan Tovbulatov: Either way, everything we've been doing for the decade, as Patricia said, that we've been doing this with AI at the core, has almost led us to this moment where if you think about HR as a conduit to getting work done, to driving productivity in the organisation, to actually seeing and mitigating risk in the organisation, I think for the first time ever, AI is actually empowering HR in a way that has never existed before. And so, if you find a way to actually take all this hard work we've all been doing on this journey, right, understanding the skills of the workforce, trying to understand the work that's being done in the workforce, and now try and understand the technology, which by the way, is being modelled after people, we are the people leaders. So, when you think of that understanding, if you've built that core understanding, which we've been at hard work building what we call this multi-ontology workforce graph, to then put that in the hands of people and managers and leaders, I think the opportunity is massive for organisations to move, I said that it's the end of the individual contributor to the exponential contributor. We actually think it's the evolution from an incremental impact and change to exponential impact and change.
But I think companies can actually evolve and have disproportionate amount of impact now if they can leverage all of this foundation that we've built around skills and technology and with work at the centre. But it requires people like Patricia. It's the mindset. I just encourage every HR leader to really listen to the language Patricia uses, to the behaviours she role models, even the way that she inspires her team. I see her at conferences, putting the people first and her own people first and empowering them to try new things. You're not always going to be perfect, you might fail, but we'll learn fast and we'll adapt and we'll always be close to the business and always be empowering the business. I think that mindset is so, so critical. So, I'm just lucky that Patricia specifically has been on this journey with us and a brand as storied and respected as Seagate has been on this journey with us, and we're just excited for what's ahead.
[0:53:23] David Green: Fantastic. Well, Patricia, Rus, it's been a fantastic conversation. I've learned a lot, I know our listeners will as well. And I know that many will be inspired by what they've heard as well, and the fantastic work that you and the team are doing at Seagate, Patricia. Before we go, can you let listeners know how they can find you on social media and follow all the great work that you're doing? I'll come to you first, Patricia, and then to you, Rus, to wrap.
[0:53:50] Patricia Frost: The best way is on LinkedIn, Patricia Jones Frost. So, you can find me on LinkedIn. Feel free to reach out.
[0:53:56] David Green: Perfect. And Rus?
[0:53:59] Ruslan Tovbulatov: LinkedIn as well. If you can spell the name, you'll find me. Not many Ruslan Tovbulatovs out there, but also follow Gloat on LinkedIn and visit gloat.com. We publish a ton of great research and insights, and we just look forward to engaging with many of you. And hopefully, you found this conversation inspiring.
[0:54:18] David Green: And Rus, you make quite a lot of the videos from your Gloat Lives available as well, don't you, for people to watch? So, if you want to hear more from Patricia, you may be able to find some videos featuring Patricia on there.
[0:54:31] Ruslan Tovbulatov: Yes, there's a great video actually with Patricia, a couple of them actually, a little bit of another podcast we did, and her on stage. So, yeah, I encourage people to listen to that to go even a layer deeper on some of this.
[0:54:44] David Green: Perfect. Well, thank you, Patricia and Rus. Look forward to maybe seeing you both at a Gloat Live in the not-too-distant future.
[0:54:51] Patricia Frost: Thank you.
[0:54:52] Ruslan Tovbulatov: Thank you so much.
[0:54:54] David Green: A big thank you again to Patricia and Rus for joining me today. And a big thank you to you, our listeners, who tune in each week to learn more about this exciting, evolving field. If this episode inspired you, please consider subscribing and leaving us a five-star review on your favourite podcast platform. Your support enables us to keep bringing you powerful insights and engaging conversations every week. To connect with us at Insight222, please follow us on LinkedIn, check out our website at insight222.com. Also, if you're interested in the latest trends in HR and People Analytics, don't forget to sign up for our bi-weekly newsletter at myHRfuture.com. That's all for now, thank you for tuning in and we'll be back next week with another episode of the Digital HR Leaders podcast. Until then, take care and stay well.
| 2025-06-24T00:00:00 |
https://www.myhrfuture.com/digital-hr-leaders-podcast/the-ai-pivot-seagates-workforce-transformation-in-the-age-of-ai
|
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"date": "2025/06/24",
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|
Closing the AI skills gap - DataScienceCentral.com
|
Closing the AI skills gap
|
https://www.datasciencecentral.com
|
[
"Dan Wilson",
"Gaurav Belani",
"Shanthababu Pandian",
"Vincent Granville"
] |
AI Think Tank Podcast #23: Dan Wilson and USAII's Mike Spaeth share a 4-step plan to close the AI skills gap with certification, sovereign AI
|
Interview w/ Mike Spaeth, VP of United States AI Institute
The phrase “AI skills gap” gets thrown around so often that it risks becoming background noise. One thing that I hear often is “How do we bring everyone along, fast enough?”
That question framed our latest episode with Mike Spaeth, Global VP at the United States Artificial Intelligence Institute . Mike sits at the intersection of policy, workforce development, and enterprise strategy, so he’s uniquely positioned to talk solutions instead of soundbites.
Policy meets practice
Mike’s résumé reads like an atlas of AI milestones, Watson’s Jeopardy! victory at IBM, generative-AI leadership at EarthDaily, and advisory posts across Microsoft, Google, and government programs.
“I was lucky enough to be there when Watson beat Jeopardy!, it changed my sense of what was possible almost overnight,” Mike recalled.
His policy roots date back to Capitol Hill and the Clinton–Gore tech initiatives, giving him an instinct for translating fast-moving tech into concrete governance.
Defining the modern AI skills gap
We opened by stripping away the jargon.
“It doesn’t have to be a mystery or mystical,” Mike insisted, pointing out how buzzwords intimidate newcomers and stall adoption.
I added my own litmus test: if a tool boosts productivity but staff can’t explain its limits, context windows, hallucination risk, privacy thresholds, then we haven’t closed any gap; we’ve just buried it under automation.
Certification as an equalizer – Inside USAII
USAII’s catalog spans K-12 primers, practitioner tracks, vertical-specific certificates (HR, supply-chain), and C-suite strategy suites. Mike called the model vendor-agnostic by design.
“If you only train the C-level, you’ve got maybe 15 people who understand AI. We need the whole organization, the whole country,” he argued.
That mission resonates with my own work at Cyber Intel Training and R&D at Info Science AI , where neuromorphic memory systems only matter if end-users can exploit them safely.
Case study: Malaysia’s National AI Office
Both Mike and I are boots-on-ground advisors to AI efforts in Malaysia. I have been acting as an AI Sovereignty Advisory to Malaysia’s National AI Office . We compared notes on why Malaysia is already eclipsing certain aspects of Western practices.:
Clear national-level mandates to certify every citizen .
. Faster trust curves, surveys show lower AI skepticism in emerging economies.
Policy frameworks that bake in sovereignty from day one.
Upskilling the whole org, not just the C-suite
Mike illustrated the stakes with a vivid thought experiment:
“Put two neighboring towns side-by-side. One upskills every citizen; the other doesn’t. It’ll be obvious which town thrives and which falls behind.”
We both agreed that the car analogy still rings true: you wouldn’t teach only the mechanics how brakes work while ignoring the drivers.
Some tools we actually use
ChatGPT-4o (mobile) for just-in-time guidance, Mike even leaned on it after a car crash to walk him through filing claims:
“It asked, ‘Would you like me to do that for you?’, and given my concussion, that was exactly what I needed.” Deep Research function on various AI platforms and Semantic Scholar by AI2 for up to current, up to date research. (Dan mistakenly referenced Scholar AI which is an incredible tool worth adopting!) Local sovereign stacks at Kwaai AI to prototype agent frameworks without data leakage. Open-weights models (Olmo 2, Llama derivatives) for secure on-prem projects.
Key takeaway: every practitioner should master at least one cloud LLM and one local/edge alternative.
Cybersecurity, sovereignty & trust
Our security segment got candid. I described a demo where a fine-tuned small model “coughed up training emails”, a reminder that privacy disclaimers ≠ airtight protection.
We agreed on four principles for sovereign AI stacks:
Data-at-rest encryption with post-quantum algorithms ready for swap-in. Endpoint security as the weakest link, especially in home-lab scenarios. Transparent data-retention policies, no buried opt-in boxes. Federated or peer-to-peer compute fabrics (as in KwaaiNet) for community labs.
Quantum-era headwinds (and hype)
Mike toured IBM’s quantum lab; I countered with hard numbers: billions in cap-ex, helium-chilled qubits, and error-correction headaches. Until we hit room-temperature qubits, quantum remains a boutique attack surface, but leaders must budget for post-quantum key exchange now, not later.
Change-management lessons for leaders
I summarized the mindset shift this way:
“Old thinking says ‘replace people one-to-one.’ New thinking says ‘augment everyone and triple output with the same headcount.’”
Mike’s corollary:
“If you took AI away tomorrow, your team should feel handicapped, that’s when you know upskilling has stuck.”
Practical playbook:
Begin by assessing your current workflows, identifying the high-leverage tasks where AI could help, and calculating what share of all tasks is truly suitable for LLM support.
Next, skill up the workforce: roll out role-specific USAII training tracks and monitor progress through certification pass rates and the subsequent uptick in project velocity. For critical cyber-threat training, mitigation, and advisory, consider Cyber Intel Training.
Move on to the sandbox phase, where you pit sovereign (on-prem) models against cloud agents to gauge latency, cost, and any privacy incidents, choosing what best fits your risk profile.
Finally, scale what works by baking AI usage directly into OKRs and performance reviews, then track tangible business outcomes such as hours saved and revenue per employee.
Recommended resources & next steps
Closing thoughts
Bridging the AI skills gap isn’t a philanthropic side-project; it’s industrial hygiene. Every knowledge worker, coder, nurse, line-manager, city planner, will soon rely on AI the same way we rely on spreadsheets or search.
Mike’s reminder that “It doesn’t have to be mystical” echoes in my head each time I coach a team on their first prompt. The real magic isn’t in the model’s math; it’s in people discovering they can drive the car, maintain it, and, eventually, design the next model themselves.
I hope these pages give you both a strategic north star and a tactical map. Reach out if your organization wants to take the next step. The gap is closing fast; let’s make sure no one falls through it.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.datasciencecentral.com/closing-the-ai-skills-gap/
|
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"date": "2025/06/24",
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] |
What HR can learn from government layoffs in the age of AI
|
5 lessons from government layoffs the private sector can’t afford to ignore
|
https://hrexecutive.com
|
[
"Elin Thomasian",
"Serving As The Svp Of Workforce Strategy",
"Consulting At Talentneuron",
"Elin Thomasian Leads Initiatives Aimed At Optimizing Business Transformation",
"Strategic Workforce Planning",
"Talent Engagement",
"Development",
"Talent Attraction."
] |
The success or failure of the federal government's AI initiative won't hinge on the technology itself. It will depend on whether core workforce ...
|
The Trump administration’s efforts to reduce the size of the federal workforce are accelerating, from buyout offers and government layoffs to a clear push toward automation.
In June, reporting from The Register revealed that the General Services Administration (GSA), which oversees government software procurement, is ramping up for the launch of AI.gov, a new initiative aimed at implementing artificial intelligence across the federal government. At the same time, OpenAI has agreed to a $200 million contract with the U.S. Department of Defense to deliver AI-powered administrative and security services, including elements of military healthcare access and cyber defense. Palantir already has several contracts in place to provide AI-driven services and products across several government departments.
The implications of these projects are enormous and raise a timely question for the private sector: What actually happens when an organization cuts thousands of jobs with the expectation that artificial intelligence will fill the gap?
We’re about to find out.
While private sector leaders don’t often consider the government a model for innovation, this moment presents a rare opportunity. In real time, we are witnessing one of the largest case studies in workforce automation ever attempted. The stakes are high—not just for the government, but as a lesson for any organization considering large-scale AI deployment.
Why strategic workforce planning is crucial in the AI era
Every wave of workforce disruption feels unprecedented while you’re in it. But these aren’t wholly new dynamics; we’ve lived through versions of this before.
In 2020, as global head of talent acquisition at a major financial firm, I watched teams struggle to adapt overnight to pandemic-induced hiring freezes and sudden reorgs. In 2008, at the start of my career, I watched colleagues lose roles and companies lose capabilities as the financial crisis unfolded. In each case, what set resilient organizations apart wasn’t their budget; it was their ability to plan strategically, manage change intentionally and align people to purpose.
Now, as AI promises transformation, the same discipline is more important than ever.
Strategic workforce planning (SWP) is the discipline of aligning talent to business strategy through continuous analysis of skills, roles and organizational needs. It’s not a reactive, budget-led process; it’s a forward-looking capability that helps organizations navigate uncertainty and emerge stronger.
This planning becomes even more vital when automation enters the picture. The assumption that AI can seamlessly replace workers ignores a core reality: Most jobs are deeply contextual. Two employees with the same job title in different departments may perform entirely different tasks, using different tools, serving different objectives. Without a deep understanding of who does what, where critical expertise lives and how work actually gets done, attempts to automate will fall flat.
AI can add value when it augments human capability. But it is not a plug-and-play substitute for experience, context or adaptability. It is only as effective as the systems it operates within.
That’s why the federal government’s current approach should be seen not as a template, but as a warning. Job cuts, followed by discussion on the potential capacities of AI, are not a transformation strategy. This is the illusion of efficiency and futurism.
Planning for true transformation
The success or failure of the federal government’s AI initiative won’t hinge on the technology itself. It will depend on whether core workforce planning challenges, such as role clarity, knowledge capture, governance and cross-functional alignment, are addressed first.
The same principle applies to the private sector. While political motivations may influence public policy, enterprise leaders have a responsibility to ground transformation efforts in sustainable business value. That means serving the long-term needs of your workforce, your customers and your shareholders.
This depends on the ability to answer core strategic questions that underpin talent planning:
Do you understand your current workforce capabilities at a granular level?
Can you access real-time intelligence about external talent markets and competitive dynamics?
Are your transformation decisions based on an integrated analysis of internal and external data?
Do you have frameworks for continuous scenario planning and strategy adjustment?
If the answer to any of these is “no,” then you’re not ready to automate at scale. Even the most advanced tools can’t solve for organizational misalignment. AI cannot compensate for poor workforce architecture.
The biggest barriers to transformation today aren’t technical—they’re structural: legacy systems, fragmented data and unclear governance. That’s why workforce strategy must lead any conversation about AI.
What private employers can learn from government layoffs—and missteps
Every day, my team at TalentNeuron works with enterprise leaders who are trying to navigate the shift to AI with intention, clarity and care. The private sector has one major advantage right now: the ability to observe and learn from the federal government’s automation experiment without repeating its mistakes.
As federal workforce restructuring unfolds, these five lessons stand out for any business navigating transformation.
1. Plan now
Economic shifts, policy changes and AI disruption are not distant threats. They are immediate realities. Organizations that model potential scenarios and build flexible strategies in advance will be better prepared to respond without panic.
2. Build your talent pipeline from the inside out
Effective transformation doesn’t begin with hiring, but with identifying opportunities for development. By investing in internal skill-building and mobility, companies reduce the cost of change and strengthen organizational resilience. Skills-based hiring can complement this approach by ensuring alignment between talent and task.
3. Prepare to flex
Contractors, consultants and part-time workers can help cover gaps without destabilizing core teams. These models are especially useful during periods of transition, when continuity must be maintained while long-term strategies are still evolving.
4. Make data the foundation for every decision
Transformation without data is guesswork. Organizations need clear visibility into their internal talent landscape and access to external labor market data. This enables leaders to act with confidence, whether reorganizing teams, identifying skill gaps or piloting new technology.
5. Communicate change clearly and lead with purpose
In any workforce transition, trust is your most valuable asset. When employees are left in the dark, morale plummets and productivity suffers. Transparent communication, paired with a clear strategy, helps retain top talent and sustain culture through change.
Looking ahead at strategic workforce planning
We are living through a pivotal moment, where technology promises exponential gains but also exposes organizational vulnerabilities. AI offers enormous rewards, but only for companies with the foundation to support it.
The federal government’s rapid push to replace humans with machines, without clearly addressing the operational challenges beneath the surface, risks undermining the very outcomes it seeks. Private sector leaders should take note. This is a time for structure, strategy and execution, in that order.
If your workforce plan can’t support your technology vision, then no AI, no matter how advanced, will deliver what you need.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://hrexecutive.com/high-price-workforce-cuts-lessons-from-government-layoffs/
|
[
{
"date": "2025/06/24",
"position": 52,
"query": "government AI workforce policy"
},
{
"date": "2025/06/24",
"position": 52,
"query": "government AI workforce policy"
},
{
"date": "2025/06/24",
"position": 99,
"query": "AI layoffs"
}
] |
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Navigating Labor's Response to AI - Lexology
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Navigating Labor's Response to AI
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https://www.lexology.com
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... union to address the impact of AI on workers. The initiative involved training union members on AI fundamentals and gathering their feedback ...
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As AI adoption accelerates across workplaces, labor organizations around the world are beginning to take notice—and action. The current regulatory focus in the US centers on state-specific laws like those in California, Illinois, Colorado and New York City, but the labor implications of AI are quickly becoming a front-line issue for unions, potentially signaling a new wave of collective bargaining considerations. Similarly, in Europe the deployment of certain AI tools within the organization may trigger information, consultation, and—in some European countries—negotiation obligations. AI tools may only be introduced once the process is completed.
This marks an important inflection point for employers: engaging with employee representatives on AI strategy early can help anticipate employee concerns and reduce friction as new technologies are adopted. Here, we explore how AI is emerging as a key topic in labor relations in the US and Europe and offer practical guidance for employers navigating the evolving intersection of AI, employment law, and collective engagement.
Efforts in the US to regulate AI's impact on workers
There is no specific US federal law regulating AI in the workplace. An emerging patchwork of state and local legislation (e.g., in Colorado, Illinois and New York City) address the potential for bias and discrimination in AI-based tools—but do not focus on preventing displacement of employees. In March, New York became the first state to require businesses to disclose AI-related mass layoffs, indicating a growing expectation that employers are transparent about AI's impact on workers.1
Some unions have begun negotiating their own safeguards to address growing concerns about the impact that AI may have on union jobs. For example, in 2023, the Las Vegas Culinary Workers negotiated a collective bargaining agreement with major casinos requiring that the union be provided advance notice, and the opportunity to bargain over, AI implementation. The CBA also provides workers displaced by AI with severance pay, continued benefits, and recall rights.
Similarly, in 2023 both the Writers Guild of America (WGA) and Screen Actors Guild-American Federation of Television and Radio Artists (SAG-AFTRA) negotiated agreements with the Alliance of Motion Picture and Television Producers (AMPTP) that include safeguards against AI reducing or replacing writers and actors. WGA's contract requires studios to meet semi-annually with the union to discuss current and future uses of generative AI—giving writers a formal channel to influence how AI is deployed in their industry. The SAG-AFTRA contract requires consent and compensation for use of digital replicas powered by AI.
The International Longshoremen's Association (ILA) has taken a more aggressive approach. In October 2024, the ILA launched a three-day strike that shut down all major East and Gulf Coast ports demanding, among other things, a complete ban on the automation of gates, cranes, and container-moving trucks. The ILA and US Maritime Alliance eventually reached agreement on the terms of a CBA a collective in early 2025, which includes a provision prohibiting the introduction of "fully automated" technology—equipment that operates without any human interaction. And any new tech implementation must be agreed upon by the union and employers; if they cannot reach consensus, the matter goes to arbitration.
Unions are also challenging the usage of AI before the National Labor Relations Board (NLRB). Recently, SAG-AFTRA filed an unfair labor practice charge to the NLRB against a video game maker, alleging the employer utilized AI-generated voices to replace bargaining unit work without providing the union with notice or the opportunity to bargain. The case is pending, and we are monitoring developments.
Across the pond, trade unions have been quick to react to the disruptive power of AI.
In Europe, AI is emerging as a key topic with trade unions and works councils
In the EU, AI in the workplace is a particularly sensitive issue—especially when it comes to its impact on jobs. The landmark EU AI Act is currently in its phased implementation stage, with key provisions such as a ban on prohibited AI systems and obligations on AI literacy under the AI Act taking effect in February 2025, and rules for general-purpose AI models and governance structures set to take effect by August 2025. While the EU AI Act does not ban job displacement by AI outright, it does contain several employee protections. Employers must consult with works councils before implementing AI, and in some jurisdictions, obtain their agreement. The Act also empowers individual employees by giving them the right to be informed when AI is used in decisions that affect them, to request explanations about how AI influenced those decisions, and to challenge outcomes.
In France, a court recently underscored the importance of treading carefully with employee representation rights with respect to AI in the workplace, even during testing and experimentation phases. In an interim order from the Nanterre Court of Justice in February, the court ruled that a company's early deployment of AI tools in a "pilot phase" occurred before the works council (CSE) consultation process had been completed. It therefore suspended the implementation until the consultation was completed and ordered the employer to pay damages to the CSE for the harm suffered.
In the UK, the conversation around AI and employment is gaining legislative traction. In 2024, the Trade Union Congress proposed an AI and Employment Rights Bill aimed at regulating how high-risk AI is deployed in the workplace. The bill would have required employers to consult workers before implementing such systems, ensure transparency, and provide personalized explanations for AI-driven decisions. Notably, the bill would classify dismissals based on unfair reliance on high-risk AI as "automatically unfair." Though the bill did not advance, it signals growing momentum in the UK toward incorporating worker safeguards into the AI adoption process. The independent AI Opportunities Action Plan commissioned by the UK government, published in January 2025, recognizes the change that AI will bring to the labor market. The report acknowledges the importance of developing life skills and educational opportunities for development, and also of diversity in the talent pool working in AI and data science.
In Germany, the deployment of AI in the workplace is closely tied to works council co-determination. While there is currently no specific AI-related co-determination, political discussions are ongoing about expanding the works council's authority in this area. In the meantime, existing IT co-determination standards apply. Under established case law, the works council has co-determination rights whenever an IT system is capable of monitoring employee behavior or performance—criteria met by most AI systems used in the workplace. Given this legal backdrop, employers are strongly advised to engage proactively with works councils and negotiate a framework agreement on AI which can help streamline co-determination procedures and provide legal certainty for future implementations.
Proactive strategies for multinational employers
In both the US and in Europe, partnering early with unions and employee representative bodies on AI can help employers avoid costly disputes and disruptions, including strikes. Proactive employers looking to reduce reputational risk and promote constructive labor relations can keep these best practices in mind:
| 2025-06-24T00:00:00 |
https://www.lexology.com/library/detail.aspx?g=48777b20-b23f-4ffd-a950-a833b9e56ea9
|
[
{
"date": "2025/06/24",
"position": 80,
"query": "AI labor union"
},
{
"date": "2025/06/24",
"position": 76,
"query": "AI labor union"
},
{
"date": "2025/06/24",
"position": 89,
"query": "artificial intelligence labor union"
}
] |
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|
AI Strategy for the Federal Public Service 2025-2027: Overview
|
AI Strategy for the Federal Public Service 2025-2027: Overview
|
https://www.canada.ca
|
[
"Treasury Board Of Canada Secretariat"
] |
AI can streamline or automate routine tasks for public servants, freeing them to focus on more complex and critical work. It can increase the ...
|
AI Strategy for the Federal Public Service 2025-2027: Overview
Our vision to serve Canadians better through responsible AI adoption.
| 2025-06-24T00:00:00 |
https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/responsible-use-ai/gc-ai-strategy-overview.html
|
[
{
"date": "2025/06/24",
"position": 51,
"query": "government AI workforce policy"
}
] |
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|
Ep 3: Reskilling for the AI Era
|
Ep 3: Reskilling for the AI Era
|
https://hosanagar.substack.com
|
[
"Kartik Hosanagar"
] |
We discussed durable skills that will continue to matter, the need to redesign entire workflows around AI (versus the mere automation or ...
|
In Episode 3 of Creative Intelligence, we discuss how knowledge workers can approach the question of reskilling and upskilling around AI and what employers need to do to support that journey.
My guests were Keith Ferrazzi, best-selling author and executive team coach, and Gautam Tambay, CEO and co-founder of Springboard.
We discussed durable skills that will continue to matter, the need to redesign entire workflows around AI (versus the mere automation or augmentation of existing workflows), why such workflow redesign hasn’t yet happened, workers' fears around AI and how to manage them. If you are in the business of skilling or if you are thinking about how to approach your own reskilling/upskilling in the age of AI, this one is for you.
My own personal framework for the durable skills that matter post AI is inspired by the 6Cs framework. The 6Cs in education are content, collaboration, communication, critical thinking, creativity, and confidence. AI is getting incredibly good at content skills (reading, writing, math, science). This makes the other 5C skills more differentiated for humans. Does that mean content skills are not as important? AI can do those well but we still need to know them so we can stress test AI’s answers and evaluate them more critically (so AI is more an accelerator for our content skills). That tells me that 6Cs matter and we should know the content skills well and use AI to accelerate such content work.
A preview of our next episode: At one point in our conversation, Keith mentioned the oft-used phrase “You won't lose your job to AI, but to someone using AI.” I have often wondered about this statement. In some ways, the statement is true. Not having AI skills will make workers less competitive against those who know how to leverage AI in their work. But, in many ways, the statement can be misleading IMO. It can lull us into a false sense of security. In Episode 4, I’ll be discussing this theme with author Sangeet Paul Chaudhry.
Timestamps
Introduction (0:00 - 1:30)
Reskilling Knowledge and Frontline Workers in an AI-Enabled World (1:30 - 8:00)
Redesigning Workflows Around AI (8:00 - 17:30)
Why Are We Not Seeing Redesigned Workflows Yet? (17:30 - 24:10)
Managing Worker Fears: Leadership Advice & Personal Reflections (24:10 - 28:35)
Call Center Workers & Broader Implications (or How do I adapt)? (28:35 - 34:45)
Upskilling Strategies & Feedback Loop (34:45 - 43:15)
One Piece of Advise for Listeners (43:15 - 46:50)
Closing Segment & Kartik’s Reflections (47:05 - End)
| 2025-06-24T00:00:00 |
https://hosanagar.substack.com/p/ep-3-reskilling-for-the-ai-era
|
[
{
"date": "2025/06/24",
"position": 99,
"query": "reskilling AI automation"
}
] |
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|
AI Pilot Programs in K-12 Settings
|
AI Pilot Programs in K-12 Settings
|
https://www.ecs.org
|
[
"Tyler Vaughan",
"Author Profile",
"Sam Comai",
"More This Author",
"Ai Pilot Programs In Settings"
] |
The pilot introduces students in grades seven-12 to state-approved AI-powered tools and is aimed at providing hands-on learning experiences. Educators also ...
|
This post from Sam Comai, a recent graduate of the Education Policy and Leadership master’s program at American University, who generously provided research on artificial intelligence policy for Education Commission of the States. This is the second of two posts from recent American University graduates on artificial intelligence. Any views expressed in the post are those of the author.
As of March 2025, 28 states have published or adopted artificial intelligence (AI) guidance for K-12 education. As a majority of states have now set the groundwork for issuing guidance, many are looking toward integration of AI with specific instructional and support-related aims. Though new use cases in K-12 settings are likely to arise as this technology advances, states have focused their efforts primarily on instruction and support services so far.
Instruction and Curricula
At least five states have implemented or are in the process of developing pilot programs to foster integration and responsible use in the classroom. In the spring 2025, Connecticut launched an AI Pilot Program in seven districts. The pilot introduces students in grades seven-12 to state-approved AI-powered tools and is aimed at providing hands-on learning experiences. Educators also receive professional development on effective integration into the classroom. The development of Connecticut’s AI pilot was the result of Public Act 24-151, a large bonding and fiscal policy bill, which included a provision that required the State Department of Education to develop and implement the program.
Similarly, during the 2023-24 school year, the Indiana Department of Education launched the AI-Powered Platform Pilot Grant. This opportunity provided funding for a one-year implementation — covering subscription fees and professional development to facilitate high-dosage tutoring for students while reducing teacher workload with an AI platform. Of the teachers who participated, 53% indicated that their experience was either positive or very positive. The Indiana Department of Education lead this program by utilizing $2 million in federal COVID relief funds for the competitive grant awards. While this funding has dried up, some schools have chosen to continue their programs via the state’s Digital Learning Grant.
The Iowa Department of Education announced a $3 million investment to provide all Iowa elementary schools (public and nonpublic) with an AI reading tutor tool, which uses voice recognition to assist students as they read aloud. Rollout of this program will begin in the summer 2025.
Student Data Management
Some states have implemented AI technology for specific purposes like tracking and identification. For example, the Kentucky Department of Education has made an Early Warning Tool, which uses AI to mine student data with the goal of identifying students at-risk of dropping out or failing classes, available to every district. Through the data collected, every student is assigned a Graduation-Related Analytic Data Score, which teachers can access via an online platform. The this program predates the release of generative AI platforms like ChatGPT.
Four school districts in New Mexico are piloting Edia, an AI platform they hope will help with student absences. The platform automates tasks within student information systems to take over duties typically handled by attendance staff or robocalls. When a teacher marks a student absent, the system’s large language model (or chatbot), prompts the student’s parents or guardians to send additional information directly via text. This pilot program represents a district-led and funded initiative, driven by high rates of chronic absenteeism.
Looking Forward
While AI is increasingly prevalent and presents new opportunities for integration into classrooms, concerns related to equitable access and information has renewed longstanding conversations about the digital divide. An analysis of data from the 2018 American Community Survey conducted for All4Ed highlights that 16.9 million children lack access to high-speed internet and connected devices at home. Low-income, historically marginalized and rural students are more likely than others to face these barriers to access. In addition, some concerns have emerged about programs that track and identify students at risk of dropping out. A 2021 analysis of Wisconsin's longstanding early warning system found that when identifying a student for dropout, it was wrong nearly three quarters of the time, with those rates higher for Black and Hispanic students. As policymakers consider the opportunities and risk posed by AI, it is important ground programs in evidence-based practices that advance access and opportunity for all students.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.ecs.org/ai-artificial-intelligence-pilots-k12-schools/
|
[
{
"date": "2025/06/24",
"position": 15,
"query": "AI education"
}
] |
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] |
Beyond the Headlines: Getting Real About AI in Education ...
|
Beyond the Headlines: Getting Real About AI in Education Ebook
|
https://www.intel.com
|
[] |
This eBook discusses the benefits that AI brings to educators and students, including productivity and performance gains as measured by outcomes. It describes ...
|
Description
This eBook discusses the benefits that AI brings to educators and students, including productivity and performance gains as measured by outcomes. It describes exciting new experiences, supported by AI running on the PC, that streamline and personalize teaching and learning. In addition, it describes resources and best practices for adopting AI safely and securely in education systems.
| 2025-06-24T00:00:00 |
https://www.intel.com/content/www/us/en/content-details/830571/beyond-the-headlines-getting-real-about-ai-in-education-ebook.html
|
[
{
"date": "2025/06/24",
"position": 77,
"query": "AI education"
}
] |
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|
What Journalists Need to Know About AI—Right Now
|
What Journalists Need to Know About AI—Right Now - Kris Krüg
|
https://kriskrug.co
|
[] |
This isn't armchair theory or corporate PR. It's what actually matters, and what we're laser-focused on in our AI journalism workshops—because survival and ...
|
Cut through the noise. Here are the essential realities every journalist should be living, breathing, and building on in the AI era. This isn’t armchair theory or corporate PR. It’s what actually matters, and what we’re laser-focused on in our AI journalism workshops—because survival and success in this new world require a lot more than learning which tool has the flashiest launch video.
Community > Lecture
Forget passive learning. The old-school “listen and nod” model is dead weight in a field as volatile as AI. True mastery is forged in community—where open DMs, collaborative docs, and war stories matter more than any slide deck. When you join this ecosystem, you’re not just swapping business cards; you’re plugging into a global collective of pros who are actively wrestling with AI’s challenges. Newsrooms aren’t silos anymore—they’re fluid networks. The real upgrade? Real-time knowledge exchange, accountability, and the rare courage to say, “I have no idea—let’s figure it out together.”
Pro tip: Don’t just lurk. Share your scars and your hacks. This is the only way to not get left behind.
AI Tool Show & Tell
If your AI toolkit is stuck in 2022, you’re already a dinosaur. Real journalists aren’t just collecting shiny apps—they’re pressure-testing the best and worst of Notion, NotebookLM, Perplexity, Ollama, Jan, LM Studio, Fireflies, and whatever’s beta next week. The magic isn’t in the tool; it’s in your workflow. Every “assistant” is a blank slate—build them to suit your quirks, your beats, your obsessions.
Insider move: Treat every new AI release as a collaborative experiment. Make a mess. Share your template. If you’re waiting for the “perfect” platform, you’ll miss the revolution.
AI Policies Are (Finally) Happening
For years, the AI ethics conversation was all hand-waving and hypothetical doomscrolling. Now? Newsrooms are drafting real policies—sometimes messy, always evolving. Some are cribbing from the Swiss Press Council, others are taking cues from upstarts like Love Now Media who put radical transparency front and center.
Here’s the catch: There is no gold standard. Your org’s first draft will be flawed—and that’s exactly the point. Start small. Get it wrong. Update fast. A living policy is better than a perfect one that never ships. The only sin? Doing nothing.
Promptcraft: Where the Magic Happens
Lazy prompts = lazy journalism. The next-level unlock? Prompts that are as rich and contextual as your story itself: give the AI a persona, a specific role, constraints, and examples. A nuanced prompt can pull up gold—half-assed ones bring back sludge. And here’s a micro-lesson: “Refrain from” (as in, “Refrain from using academic jargon”) works way better than “never do X.”
Pro move: Feed your AI actual writing samples or model answers. Let it see your standard, not just read your rules. Promptcraft is the new reporting.
Voice is the New Keyboard
Journalists have always chased speed. Now, dictating prompts or riffing aloud is emerging as the ultimate creative unlock. Speaking is less filtered, more honest, and way faster than typing. AI loves a messy data stream—voice lets you bypass your own editorial firewall and get raw ideas out faster.
Caveat: The tech isn’t perfect (yet). Voice-to-AI has privacy hurdles, and deepfake risks are real. But for ideation and drafting? This is the new edge.
AI as Collaborator, Not Replacement
If you think AI is here to write your articles, you’re missing the point (and honestly, putting yourself on the chopping block). The real magic? AI as a second brain—your most relentless editor, toughest coach, and sharpest brainstorming partner. Tools like “Newsroom Ally” or “Ye Olde Bardic Quill” don’t write for you—they push you harder, force you to clarify, and save you from your own intellectual laziness.
Level up: Build assistants that challenge, not flatter. Train your bots to critique, to question, to spot your blind spots.
Don’t Trust, Verify
If you take AI output at face value, you’re just automating mediocrity. “Hallucinations” aren’t bugs—they’re features, built into the black box. Use NotebookLM and friends for research and summary, but always double-check. Assume every answer is one click away from disaster unless you’ve verified the source.
Journalist’s oath: Trust, but verify—now more than ever.
Real-World Hacks & Pain Points
The frontier is rough. NotebookLM mostly chews through government PDFs now—but don’t bet your deadline on it. Social media auto-posting? The cringe is legendary (think: AI suggesting a dove emoji for a bike fatality story). And if you’re building accountability bots to track politicians, brace yourself for platform TOS and legal potholes.
Wisdom: There are no silver bullets. The “pain points” are the real curriculum—learn them, share them, build on them.
Show Your Work, Share the Weird
This is where breakthroughs are born. Don’t hoard your experiments—good, bad, or beautifully broken. Document your hacks, publish your failures, and make your weirdest workflows visible. You’re not just building tools; you’re building a culture of radical transparency that lets everyone level up, together.
Mantra: Messy work shared publicly is a gift to the whole community.
This Isn’t Just a Course—It’s a Movement
You want a resume line? Go take a Coursera class. You want to rewire how journalism gets done? Join the movement. The Upgrade isn’t just about tools or theory—it’s a collective uprising of creators who refuse to let AI be another corporate black box. We’re bending it, breaking it, remixing it into workflows that honor the story, the audience, and the people at the center.
Ethos: Relentless experimentation. Mutual aid. Question everything. This is journalism at the edge.
Bottom line:
AI journalism is not tech tourism—it’s a radical, ongoing reimagining of how we work, create, and connect. Build your own toolkit. Refine your promptcraft. Share your messy process. Don’t wait for permission. The only rule that matters? The newsroom belongs to those who show up, ask better questions, and turn AI into an instrument for truth.
Now get out there—your skunkworks awaits. The old rules are dead. You get to write the new ones.
Like this: Like Loading...
Related
| 2025-06-24T00:00:00 |
2025/06/24
|
https://kriskrug.co/2025/06/24/what-journalists-need-to-know-about-ai-right-now/
|
[
{
"date": "2025/06/24",
"position": 22,
"query": "AI journalism"
}
] |
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] |
MCK Promotes Digital Innovation and AI Integration in ...
|
MCK Promotes Digital Innovation and AI Integration in Journalism
|
https://mediacouncil.or.ke
|
[] |
The Media Council of Kenya (MCK) has reaffirmed its dedication to advancing digital transformation while upholding ethical journalism standards.
|
The Media Council of Kenya (MCK) has reaffirmed its dedication to advancing digital transformation while upholding ethical journalism standards.
MCK’s Mombasa Regional Coordinator Maureen Mudi emphasised the importance of adopting emerging technologies, highlighting the urgent need to align with digital trends and integrate innovation into storytelling, newsroom practices and audience engagement.
“We must move beyond the traditional newsroom model and embrace digital journalism tools. AI is not here to replace journalists but to enhance storytelling and boost efficiency,” Mudi stated during an engagement at Lulu FM in Kilifi County.
Mudi referenced the recently revised Code of Conduct for Media Practice, noting that it includes provisions for digital media and emerging technologies. She urged journalists to familiarise themselves with the document, underscoring its role in fostering ethical journalism in a rapidly evolving media landscape.
She also encouraged journalists to formalise their work by joining the Kilifi Press Club, highlighting the Council’s commitment to supporting vibrant press clubs through conditional grants.
“Such clubs provide platforms for collaboration, peer learning, and content co-creation. They are essential for uniting journalists and amplifying professional voices in the region,” she added.
Mudi further called on journalists to cultivate a positive mindset and foster unity to advance the profession. She reiterated the Council’s focus on capacity building, citing upcoming training opportunities on AI and digital content monetisation to equip journalists with modern skills.
“We want you to tell compelling local stories while earning from your digital content. The internet, particularly AI, is expanding rapidly in Kenya,” she remarked.
Lulu FM’s Station Manager Kevin Tumaini, expressed gratitude for MCK’s ongoing support and reaffirmed the station’s commitment to ethical journalism and digital advancement.
“We are thankful to the Council for its continued engagement and look forward to further collaboration to enhance our capabilities in this dynamic media landscape,” he said.
| 2025-06-24T00:00:00 |
https://mediacouncil.or.ke/~mediaco7/index.php/media-center/mck-newsroom/news/mck-promotes-digital-innovation-and-ai-integration-journalism
|
[
{
"date": "2025/06/24",
"position": 99,
"query": "AI journalism"
}
] |
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|
Fellowships support AI accountability stories [Worldwide]
|
Fellowships support AI accountability stories [Worldwide]
|
https://ijnet.org
|
[] |
The program seeks to support journalists working on AI (artificial intelligence) accountability stories that examine governments' and corporations' uses of ...
|
Staff and freelance journalists can participate in a fellowship and receive up to US$20,000 to pursue a reporting project.
The Pulitzer Center is organizing the AI Accountability Fellowships. The program seeks to support journalists working on AI (artificial intelligence) accountability stories that examine governments' and corporations’ uses of predictive and surveillance technologies to guide decisions in policing, medicine, social welfare, the criminal justice system, hiring, and more.
Interested journalists must apply with a reporting project they wish to pursue during their fellowship.
Enterprise and accountability projects that use a variety of approaches—from data analysis, to records requests, and shoe-leather reporting—and delve into the real-world impact of algorithms on policy, individuals, and communities are preferred. This year, the program seeks to support at least one project that examines transparency and governance in relation to AI.
The 10-month fellowships are remote, begin in September and continue until July 2026.
Journalists can be based anywhere.
The deadline is Aug. 11.
| 2025-06-24T00:00:00 |
https://ijnet.org/en/opportunity/fellowships-support-ai-accountability-stories-worldwide
|
[
{
"date": "2025/06/24",
"position": 97,
"query": "artificial intelligence journalism"
}
] |
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|
AI and the Future of Work
|
AI and the Future of Work
|
https://nativeteams.com
|
[] |
Explore how AI is reshaping the future of work, creating new job opportunities while enhancing productivity and collaboration in various industries.
|
Every technological advancement has sparked burning questions for the future of work — will it complete problem-solving tasks? Or when will the takeover happen, leaving tons of professionals without jobs?
Let’s leave the guessing game aside and dive into how AI has impacted the workforce so far and contributed to the creation of new jobs. We’ll also cover tips on how you can prepare your business to thrive in the never-ending AI innovation sphere.
Why is AI important for the future of work
The shift towards AI implementation frees up space for higher-value activities that require creativity, emotional intelligence, and strategic thinking. As AI takes over repetitive tasks, the number of errors gets reduced, productivity will spike, and as a result, so will the speed of processes. This acceleration can be seen with the AI-powered chatbots, which significantly reduce the workload of customer support representatives.
For businesses, this change brings more operational efficiency and cost-effectiveness. At the same time, workers will need to develop new skills to work alongside AI systems, which could lead to hybrid roles that combine human judgment with AI-powered tools.
You might be interested in learning about top strategies for improving work productivity .
The impact of AI on the workforce
As businesses rapidly adopt AI technologies, workers must adapt to new realities that bring both challenges and opportunities. Here's how AI is reshaping the workforce.
Job displacement and creation
While it’s no secret that AI could replace many jobs, there’s also a high probability that it’ll create new ones in certain industries. With many companies embracing AI, roles in machine learning and data analysis are expected to be in growing demand. Industries from healthcare to manufacturing are also seeing new roles emerge that combine domain expertise with AI capabilities.
Upskilling and reskilling
Technical literacy, data analysis, and AI system management are becoming essential skillset across industries. Companies are investing in training programs to help employees transition to AI-augmented roles. The focus is shifting from memorising information to developing skills in critical thinking, creativity, and complex problem-solving.
Collaboration between humans and computers
The future workplace isn't about AI replacing humans – it's about effective human-AI collaboration. Workers are learning to use AI as a tool that improves their capabilities rather than threatens their jobs. This means understanding AI's strengths and limitations and developing workflows that optimise the strengths of both humans and machines.
What types of jobs will AI create?
Thanks to AI, workers can easily explore new career paths and opportunities across industries. Let’s take a look at the emerging job positions that have spurred in the AI era.
AI Specialists
AI Specialists are essential to designing, developing, and maintaining AI systems that drive modern businesses forward. Their expertise lies in solving complex issues, such as improving AI model accuracy and reducing computational costs.
Drawing from their technical knowledge of machine learning algorithms and programming languages, AI Specialists are often tasked with developing applications ranging from natural language processing to computer vision.
Data Scientists and Analysts
With AI generating massive amounts of data, these experts turn raw information into actionable insights. They clean and prepare data, build predictive models, and help businesses make data-driven decisions.
Data scientists combine statistical analysis with programming skills to extract patterns from complex datasets. They work closely with business teams to ensure AI solutions address real business needs.
AI Trainers
AI trainers bridge the gap between human behavior and machine learning. They teach AI systems to understand context, improve accuracy, and reduce biases in areas like language processing and image recognition.
This role requires a unique blend of technical understanding and human insight. AI trainers often work on improving chatbots, virtual assistants, and other AI interfaces to make them more natural and effective.
AI Integration Specialists
These professionals specialize in AI Integration Services , helping businesses seamlessly implement AI solutions into their existing workflows. They assess company needs, select the most suitable generative AI tools , and manage the entire integration process. They collaborate with various departments to ensure the smooth adoption of AI technologies and provide staff training on new AI-powered systems to maximize efficiency and effectiveness.
How are businesses preparing for the future with AI?
Companies are rapidly evolving their strategies to capitalise on AI's potential while managing its challenges. The transition requires careful planning, investment, and organisational change to ensure successful AI integration across operations.
Adopting AI technologies
Nowadays, most businesses start implementing AI with focused projects in areas like customer service chatbots, predictive analytics for sales, AI-powered eCommerce catalog management or inventory management. This helps build scalable cloud infrastructure and data pipelines to support decision-making and automate processes.
Investing in training and development
Launching comprehensive training programs is a great way for businesses to prepare their workforce for AI integration. This includes technical training on AI tools and platforms, data literacy courses, and workshops on AI-human collaboration. AI also brings to light certain skill gaps, which businesses can identify and create personalised learning paths for different roles.
Collaborating with AI experts
Staying current with the latest AI trends also requires networking with AI experts. This can be done through strategic partnerships with top artificial intelligence consulting firms, AI vendors, academic institutions, and industry experts. Many businesses even establish AI advisory boards to guide their strategy and implementation instead of outsourcing it or conducting the research themselves.
Changing organisational structures
Embracing AI integration means fundamentally reshaping organisational structures. New positions, such as Chief AI Officer and AI Ethics Officer, should be appointed, cross-functional AI teams created, and a different reporting structure implemented.
Establishing ethical AI policies
AI sets ethical questions about who is responsible for its decisions or how we can be sure they’re morally right. Hence, the need for creating clear guidelines for data handling, algorithmic fairness, and AI transparency is more important than ever. It’s also important to establish regular training so that all employees understand and follow these ethical guidelines.
Learn more about which technology has helped the gig economy grow .
Navigating the future of work with AI
With AI developing faster than the speed of light, success depends on working with these tools, not against them. Here are a few tips that can help you master AI and thrive in the modern workplace.
Embracing AI as a tool
Think of AI as an enhancer of your work rather than a replacement. Once you’ve mastered the prompts, you can use AI to automate repetitive tasks, analyse data, and generate initial drafts. This saves you a lot of time from manual work, which can now be used to polish up and add more creativity to the AI output.
Developing human-centric skills
The rise of AI makes distinctly human capabilities more valuable than ever. These include emotional intelligence, which drives effective leadership and relationship building, alongside the ability to think strategically and solve complex problems. The most successful professionals will be those who excel at these skills, which AI can’t replicate.
Ethical AI development
Success in ethical AI development comes from recognising when to rely on AI and when human judgment is essential while consistently protecting user privacy and maintaining fairness in AI-driven processes. This means establishing clear protocols for data privacy and actively monitoring for potential biases.
Looking for a trusted AI development company? Check out AI Development Companies & AI Developers in the USA
To wrap up
AI isn't just changing how we work — it's revolutionising entire industries and creating new opportunities. While some jobs will transform or disappear, new roles are emerging that combine human expertise with AI capabilities.
Success in this AI-driven future requires a balanced approach: embracing AI as a powerful tool, developing uniquely human skills, and ensuring ethical implementation. The future of work isn't about humans versus AI — it's about humans and AI working together to achieve greater potential.
| 2025-06-24T00:00:00 |
https://nativeteams.com/blog/ai-and-the-future-of-work
|
[
{
"date": "2025/06/24",
"position": 36,
"query": "future of work AI"
}
] |
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|
KnowBe4 Research Uncovers Disconnect Between AI ...
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KnowBe4 Research Uncovers Disconnect Between AI Adoption and Policy Awareness in the Workplace
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https://www.prnewswire.com
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[] |
Varying AI Adoption Rates: While the average percentage of employees using AI in the workplace is 60.2% globally, adoption rates varied by region. · Persistent ...
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A new KnowBe4 survey reveals that while employee adoption of AI is rising, understanding of AI-related policies remains low—leaving organizations vulnerable
TAMPA, Fla., June 24, 2025 /PRNewswire/ -- KnowBe4, the world-renowned cybersecurity platform that comprehensively addresses human risk management, shares new survey findings highlighting a severe AI governance gap. A new KnowBe4 survey of employees across Germany, South Africa, the Netherlands, France, the UK, and the US reveals that while a large majority of employees already engage with Artificial Intelligence (AI) tools at work, a strikingly low percentage are aware of their company's official policies governing its use.
The findings reveal that, on average, 60.2% of employees are using AI tools in the workplace. In contrast, only 18.5% are aware of their company's policy on AI usage. This significant gap suggests that the vast majority of AI activity within organizations is taking place without guidance or oversight. One in 10 employees (10%) have admitted to putting client data into an AI tool to complete a work task.
"An AI governance gap is like a ticking time bomb for organizations," said Roger Grimes, data-driven defense evangelist at KnowBe4. "When the majority of your workforce is using AI but fewer than 20% understand the rules of engagement, you have a massive problem. AI tools are powerful, but without clear policies and training, employees may unknowingly feed sensitive information, like client data, into systems that were not designed to handle it securely. We often think of cyber risk as external, but in the age of AI, internal misuse, however unintentional, could lead to serious data breaches, compliance violations, and reputational damage."
Other Takeaways Across Regions
Varying AI Adoption Rates: While the average percentage of employees using AI in the workplace is 60.2% globally, adoption rates varied by region. France shows the lowest adoption rate, with only 54.2% of employees saying they use AI tools at work, indicating a slower adoption rate. Conversely, South Africa records the highest at 70.1%, suggesting a more widespread use of AI.
While the average percentage of employees using AI in the workplace is 60.2% globally, adoption rates varied by region. shows the lowest adoption rate, with only 54.2% of employees saying they use AI tools at work, indicating a slower adoption rate. Conversely, records the highest at 70.1%, suggesting a more widespread use of AI. Persistent Policy Awareness Gaps: An average of 14.4% of employees reported being unaware of their company's AI policy. This lack of awareness is particularly notable in the Netherlands (16.1%) and the UK (15.8%), indicating a need for enhanced communication and training strategies.
An average of 14.4% of employees reported being unaware of their company's AI policy. This lack of awareness is particularly notable in (16.1%) and the UK (15.8%), indicating a need for enhanced communication and training strategies. Sanctioned AI Use is Lagging: Only an average of 17% of employees use AI at work with their IT/security team's knowledge. This figure, though highest in South Africa (23.6%), remains low overall, indicating a need for organizations to proactively provide and promote approved AI solutions.
The research emphasizes the critical need for organizations to bridge this awareness-usage gap. This requires not just establishing policies, but actively communicating them, providing comprehensive training on ethical and secure AI use, and offering approved, user-friendly AI tools to mitigate the significant risks posed by uncontrolled AI adoption.
For more insights and best security practices, visit https://www.knowbe4.com/.
About KnowBe4
KnowBe4 empowers workforces to make smarter security decisions every day. Trusted by over 70,000 organizations worldwide, KnowBe4 helps to strengthen security culture and manage human risk. KnowBe4 offers a comprehensive AI-driven 'best-of-suite' platform for Human Risk Management, creating an adaptive defense layer that fortifies user behavior against the latest cybersecurity threats. The HRM+ platform includes modules for awareness & compliance training, cloud email security, real-time coaching, crowdsourced anti-phishing, AI Defense Agents, and more. As the only global security platform of its kind, KnowBe4 utilizes personalized and relevant cybersecurity protection content, tools and techniques to mobilize workforces to transform from the largest attack surface to an organization's biggest asset.
The research was conducted by Censuswide, among a sample of 12,037 people across Germany, South Africa, the Netherlands, France, the UK, and the USA who are employed (and use a computer for any part of their work). The data was collected between 17.07.24 - 25.07.24. Censuswide abides by and employs members of the Market Research Society and follows the MRS code of conduct and ESOMAR principles. Censuswide is also a member of the British Polling Council.
Media Contact:
Kathy Wattman
SVP of Public Relations
[email protected]
727-474-9950
SOURCE KnowBe4 Inc.
| 2025-06-24T00:00:00 |
https://www.prnewswire.com/news-releases/knowbe4-research-uncovers-disconnect-between-ai-adoption-and-policy-awareness-in-the-workplace-302487586.html
|
[
{
"date": "2025/06/24",
"position": 19,
"query": "workplace AI adoption"
}
] |
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|
Employees are using AI in secret at work - WorkLife.news
|
Why employees are so secretive about using AI at work — and why they shouldn’t be
|
https://www.worklife.news
|
[
"Tony Case"
] |
Workplace experts say it's on leadership to create a culture of trust around AI at work to boost innovation and collaboration.
|
The AI revolution is happening at work whether people admit it or not. While leadership teams debate AI policies, employees are already using these tools, often in secret — and that can create an organizational blind spot that undermines innovation and oversight.
That’s the word from Justin Hale, master trainer at the professional training and consulting company Crucial Learning, who maintains that the problem isn’t that employees are using AI — it’s that they are afraid to talk about it. Leaders “need to go in thinking, I’m just going into the conversation expecting there’s going to be people that are fearful or unsure or uneasy, and so I need to double down on my invitation, my curiosity, my openness,” he said.
When employees use AI in stealth mode, they miss an important opportunity for professional development, he argues. “There is a risk that if people overuse AI for too many of their tasks, they outsource things that actually are muscles they should be working out themselves,” he said.
Furthermore, covert AI usage can erode team collaboration. “People start saying, well, rather than me asking people’s opinion on my team, I’m just going to ask AI,” he said. “And so now what happens is, we don’t have a collaborative team — we have a team of individuals all working collaboratively with AI.”
“When I asked you to write up a thought piece around this topic, I actually want you to come up with your ideas … I don’t want you to outsource it to AI.” Justin Hale, master trainer, Crucial Learning
Other workplace experts point to the benefits. “Let’s be honest: employees aren’t hiding their AI use because they’re trying to get away with something — they’re hiding it because they’re trying to get ahead without getting in trouble,” said David Torosyan, who heads HR and payroll for J&Y Law Firm in Los Angeles.
Torosyan has seen firsthand how AI has become more woven into the modern workplace — and how it has become a key tool in employee productivity. “People are using it to write faster, organize smarter and communicate clearer,” he said. “They’re solving problems in real time with tools that didn’t exist a few years ago. But they’re doing it quietly, often in the shadows — not because they lack ethics, but because they lack clarity and psychological safety.”
That’s on leadership, he maintains. “If we don’t create a culture where innovation is welcomed, employees will innovate anyway — just without us,” he said. “That’s how we lose visibility, oversight and trust.”
ZipRecruiter career expert Sam DeMase likewise puts the onus on management.
“Leadership has a responsibility to craft policies around practical and ethical AI usage on the job and communicate those policies with their team,” she said. “Leadership should share examples of practical ways to use AI and shine a light on areas where AI should not be used. This transparency takes away the fear and shame that some employees associate with using AI on the job. The reality is, AI is becoming increasingly prevalent and, when used effectively, can boost productivity and free up employees’ time for innovative thinking.”
For his part, Hale suggests a “facts-story-ask” framework: Start with objective observations about industry AI trends, then share your perspective and intentions and, finally, ask genuinely open questions.
The approach requires striking a delicate balance between oversight and innovation. Seeing that, he recommends using contrasting statements to clarify your intentions. “What I’m not saying is I want you guys to hold back because you’re afraid you’re going to get in trouble,” he said. “What I am saying is, let’s be honest so we can both see the opportunities and see the risks.”
"Let’s be honest: employees aren’t hiding their AI use because they’re trying to get away with something — they’re hiding it because they’re trying to get ahead without getting in trouble." David Torosyan, HR and payroll manager, J&Y Law Firm
The challenge for HR leaders is helping employees understand which tasks are appropriate for AI assistance and which require human judgment.
Administrative work might be perfect for AI support, but strategic thinking and creative problem-solving remain the domain of humans, Hale stresses. “When I asked you to write up a thought piece around this topic, I actually want you to come up with your ideas because you have experience, you have stories, you have examples that are unique to you — I don’t want you to outsource it to AI,” he said.
For organizations ready to make such a cultural shift, Hale emphasizes setting measurable outcomes rather than vague aspirations. Instead of saying merely you want to adopt AI in workflows, define specific goals with clear timelines and success metrics.
Perhaps most importantly, leaders themselves need education. “Outside of organizations where AI is part of their business, I would say [leadership AI knowledge] is still very rudimentary,” he said. His recommendation: executives should be reading one article daily about AI in the workplace.
The most effective approach frames AI adoption as a collaborative project rather than a top-down mandate. “Framing it as a ‘we’ problem and making it a project together … shows a lot more loyalty, a lot more connection, a lot more collaboration on the leader’s part,” he said.
When leaders position AI discussions as partnership rather than scrutiny, they create psychological safety. As Hale puts it, “Your job is to suck fear out of the air so that people feel like they could bring up any question, any concern.”
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.worklife.news/technology/why-employees-are-so-secretive-about-using-ai-at-work-and-why-they-shouldnt-be/
|
[
{
"date": "2025/06/24",
"position": 40,
"query": "workplace AI adoption"
}
] |
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Autonomous Vehicles and Job Market Disruptions
|
Autonomous Vehicles and Job Market Disruptions: Will AVs Kill or Create Jobs? (Labor Market Data)
|
https://patentpc.com
|
[
"Bao Tran",
"Patent Attorney"
] |
Get the latest labor market data on automation's impact. 1. 4.4 million U.S. jobs depend on driving, including truck, taxi, and delivery drivers. Driving jobs ...
|
The rise of autonomous vehicles (AVs) is shaking up industries and changing how people work. While some fear massive job losses, others see opportunities for new careers. This article breaks down the key labor market statistics and what they mean for workers, businesses, and policymakers.
1. 4.4 million U.S. jobs depend on driving, including truck, taxi, and delivery drivers
Driving jobs are the backbone of the U.S. economy. Millions rely on driving for their livelihood, whether it’s truck drivers hauling freight, taxi drivers serving cities, or delivery workers dropping off packages.
AVs threaten these traditional roles, but they also bring opportunities in new areas such as fleet management, AV maintenance, and logistics coordination.
To stay ahead, workers in the transportation industry should consider upskilling in technology, customer service, or logistics. Employers can support employees by providing training programs for AV-related jobs.
2. 94% of crashes are due to human error, which AVs could significantly reduce
Human mistakes cause the vast majority of accidents. AVs promise safer roads by eliminating distracted, impaired, and reckless driving. This shift could dramatically reduce the need for traditional auto repair jobs and first responders.
However, fewer crashes also mean lower demand for insurance claims adjusters, body shop technicians, and even emergency medical personnel. On the flip side, AVs will create demand for cybersecurity experts, software engineers, and AI specialists who maintain and improve vehicle safety systems.
3. AVs could cut 300,000 truck-driving jobs annually once fully adopted
Trucking is one of the largest employment sectors in the U.S. As AVs take over long-haul routes, many truck drivers could lose their jobs. However, the transition won’t happen overnight.
For those in the industry, now is the time to explore alternative roles like AV safety operators, logistics analysts, or even transitioning to local delivery jobs that still require human interaction. Companies should offer retraining programs to help workers move into emerging fields.
4. The autonomous trucking industry could save $100 billion per year in labor costs
Companies will save money by replacing human drivers with AVs. These savings will likely be reinvested into technology and infrastructure. However, job losses could hit hard if workers aren’t prepared for the shift.
Governments and businesses need to create policies that ensure workers benefit from these savings, such as wage subsidies for retraining or incentives for companies that hire displaced workers into tech-based roles.
5. 1.7 million heavy truck and tractor-trailer drivers in the U.S. face potential job displacement
Truck drivers are among the most vulnerable to automation. Many have built decades-long careers in the industry. The shift to AVs means these workers need to start thinking about the future.
One option is to specialize in areas that AVs can’t easily replace, such as hazardous material transport, which requires human oversight. Another option is to transition into fleet supervision or AV maintenance. Workers should begin learning digital skills and considering alternative career paths.
6. AV technology could create 100,000+ jobs in AI, robotics, and AV maintenance
The growth of autonomous vehicles (AVs) isn’t just transforming how we commute—it’s shaping entire new industries, especially in artificial intelligence (AI) and robotics.
As businesses prepare to integrate self-driving technology into their operations, we’re looking at an entirely new workforce that needs to be built from the ground up.
Roles in AI development, robotics engineering, data analytics, and machine learning are poised to boom. Companies that invest early in attracting and developing talent in these areas will position themselves as industry leaders and innovators, staying several steps ahead of their competition.
Skilled AV Maintenance Workers Will Be Highly Sought After
One area that often gets overlooked—but is absolutely crucial—is the AV maintenance sector. Autonomous vehicles are sophisticated, but like any advanced technology, they require specialized upkeep and regular monitoring to function safely and efficiently.
Businesses entering the AV space or adopting fleets of autonomous vehicles will need skilled maintenance personnel trained in both automotive and digital systems.
This opens substantial new employment pathways, ranging from vehicle diagnostics experts and AV technicians to remote fleet monitoring specialists. For businesses, proactively investing in training and certifying workers in AV maintenance today will mean smoother operations and reduced downtime in the future.
7. The AV industry is projected to be worth $1.2 trillion by 2030
The sheer size of the AV market means that businesses and workers who adapt early can benefit from massive growth. This market includes not just self-driving cars but also smart infrastructure, AV software, and mobility services.
Entrepreneurs should look into starting businesses that support AVs, such as sensor manufacturing, data analytics, or even AV-friendly urban planning. Investors should focus on startups that solve critical AV-related challenges.
8. 800,000 rideshare drivers (Uber, Lyft) could lose their jobs with AV adoption
As autonomous vehicle (AV) technology continues to evolve, many industries are bracing for significant changes. One of the most notable impacts will be felt in the rideshare industry, where around 800,000 drivers could lose their jobs as AV adoption gains traction.
Uber, Lyft, and other ridesharing platforms rely heavily on human drivers to provide their services. With the rise of AVs, however, the need for human drivers may drastically decline.
This disruption poses challenges for the workforce, but it also presents new opportunities for businesses and the labor market to adapt and innovate. Understanding the potential job loss in the rideshare sector and planning ahead can help businesses not only navigate this transition but also thrive in the changing landscape.
9. The autonomous vehicle market could create 500,000 new tech and engineering jobs
As the autonomous vehicle (AV) market continues to grow, one of the most exciting developments is the potential to create a significant number of new jobs in tech and engineering fields.
For businesses, understanding this shift is key to staying ahead of the curve, preparing for future needs, and attracting the talent required to drive innovation forward.
A Surge in Demand for Highly Skilled Workers
While it’s easy to focus on the potential job losses in traditional driving-related professions, the rise of autonomous vehicles brings about a surge in demand for highly skilled workers.
Engineers, data scientists, software developers, and cybersecurity experts are just a few examples of the roles that are becoming increasingly essential as autonomous technology matures.
The need for experts in these areas is only expected to grow as companies develop and implement AV technologies. With complex systems that require continuous innovation, testing, and safety improvements, businesses will find themselves in need of professionals who can navigate this highly technical landscape.
Additionally, industries that support AV technologies, such as AI, machine learning, and big data, will also experience job growth. For businesses, this opens the door to building more robust teams, enhancing capabilities, and tapping into the potential of the rapidly evolving tech space.
10. 25% of global driving jobs could be eliminated by full AV adoption
As autonomous vehicle technology accelerates, businesses must prepare strategically for substantial shifts in the global labor market. With studies projecting that around a quarter of global driving jobs could vanish due to AV adoption, now is the crucial time for companies to act.
Rather than waiting for disruption to unfold, savvy organizations can get ahead by proactively analyzing their workforce, identifying potential vulnerabilities, and initiating training or redeployment programs.
This approach not only helps protect your employees—it positions your company as responsible and forward-thinking in the eyes of customers, investors, and stakeholders.
Smart Workforce Transition Planning is a Must-Have Strategy
Companies that heavily rely on driving-based roles—such as logistics, delivery, and public transportation—need a clear, actionable plan for workforce transitions. Waiting until autonomous vehicles dominate the roadways will be too late, causing costly operational disruptions and reputational harm.
Instead, businesses should start mapping the skills of their current driving workforce today, identifying areas where retraining or reskilling could help employees transition into new roles within the company.
This strategic approach reduces future hiring costs, increases employee loyalty, and boosts company resilience in the face of technological disruption.
11. The AV software industry alone could generate $50 billion in revenue by 2030
As the autonomous vehicle (AV) sector continues to develop, one of the most promising areas for business growth lies in the AV software industry.
By 2030, this industry is projected to generate an estimated $50 billion in revenue, opening the door to immense opportunities for companies involved in technology, software development, and data analysis.
For businesses looking to capitalize on this growth, understanding the dynamics of the AV software industry and how it fits into the broader AV ecosystem will be critical.
The next few years could see a shift toward software-centric solutions that power self-driving vehicles, and businesses that strategically position themselves now stand to benefit from this wave of innovation.
12. 40% of logistics jobs may transition to supervisory roles rather than disappear
As autonomous vehicles (AVs) make their way into the logistics sector, one of the most significant impacts businesses can expect is a shift in the nature of many logistics jobs.
While automation may reduce the need for human drivers and delivery personnel, a large portion of the workforce is likely to transition into more supervisory and management-focused roles rather than face job displacement.
A Shift Toward Management and Oversight
For businesses, this transition presents both a challenge and an opportunity. As AVs become responsible for the heavy lifting of transporting goods, human workers will be needed more than ever to supervise the systems that ensure smooth operations.
Rather than simply driving trucks, employees will be tasked with overseeing the performance of automated fleets, managing technology interfaces, and ensuring that operations run efficiently.
Logistics companies will need to think strategically about this shift, investing in training programs to help their current workforce transition into these new roles.
These supervisory positions require workers to develop new skills, such as understanding AV systems, troubleshooting issues, and ensuring compliance with safety regulations.
This transition also opens up opportunities for employees to take on more decision-making responsibilities, such as route optimization and quality control.
13. 70% of Americans rely on driving jobs in some form for their livelihood
Businesses must come to terms with a powerful reality: driving-based jobs directly or indirectly support the livelihoods of approximately 70% of Americans. This staggering statistic signals a critical challenge—and opportunity—as autonomous vehicles (AVs) reshape the employment landscape.
For companies that rely on driving jobs, this is a wake-up call to proactively strategize and manage workforce transitions. Your business can either wait for disruption to unfold or take meaningful action now to safeguard both your employees’ livelihoods and your company’s future.
Strategic Workforce Mapping: A Vital Step for Companies Today
To navigate this immense employment shift successfully, strategic workforce mapping is essential. Businesses should promptly analyze how driving jobs connect to various aspects of their operations, from logistics and transportation to sales and customer service.
Understanding exactly where your company’s reliance on driving-based roles exists allows you to forecast potential disruptions and create targeted transition strategies.
Conducting a detailed skills assessment today will provide your business with a clear roadmap, ensuring smoother, less costly transitions as AV technology advances.
14. AVs could reduce transportation costs by 50%, impacting taxi and trucker wages
The promise of autonomous vehicles (AVs) isn’t just about revolutionizing how people travel or how goods are delivered—it’s also about drastically reducing transportation costs.
In fact, studies suggest that AVs could reduce transportation expenses by as much as 50%, leading to significant impacts on the wages of both taxi drivers and truckers.
While this cost reduction may bring numerous benefits to consumers and businesses, it could also create economic challenges for workers in these industries.
Understanding how AV technology can influence transportation costs, and how businesses can strategically navigate these changes, is critical for future-proofing your business and workforce.
Here’s a closer look at how AVs could lower transportation costs and affect workers’ pay, and how businesses can take proactive steps to adapt.
15. AVs could increase productivity by $1.3 trillion annually in the U.S. economy
The integration of autonomous vehicles (AVs) into the U.S. economy promises to be a game-changer, potentially increasing productivity by $1.3 trillion each year.
This substantial boost comes from a combination of enhanced efficiency, cost savings, and innovation. For businesses looking to stay competitive, understanding how AVs can impact productivity is critical for leveraging this transformative technology.
Driving Efficiency Across Multiple Sectors
One of the most immediate impacts of autonomous vehicles will be felt in industries where transportation and logistics play a central role. From freight transportation to personal delivery services, AVs will reduce the time and cost associated with human-driven transportation.
With autonomous systems operating 24/7, businesses can eliminate downtime, cut transportation costs, and increase throughput, leading to higher productivity across the board.
Moreover, AVs will streamline supply chains, creating more efficient routes, minimizing delays, and ensuring that goods arrive more reliably. This will not only reduce operational costs but also improve customer satisfaction, fostering stronger business relationships and repeat business.
For companies already operating in industries such as e-commerce, retail, and manufacturing, the adoption of AVs can create a massive competitive advantage, reducing overheads and maximizing output.
16. 60% of truck drivers are over the age of 45, making retirement-based job attrition likely
The trucking industry already faces a labor shortage as many drivers approach retirement. Instead of immediate job losses due to AVs, the industry may see a gradual shift where automation fills the gaps left by retiring workers.
This transition period presents an opportunity for younger workers to retrain for higher-paying tech-based roles within transportation. Companies should start offering retraining programs now to prepare their workforce for supervisory roles overseeing AVs rather than being displaced entirely.
For policymakers, this statistic suggests that workforce planning should focus on retraining rather than emergency relief measures. By gradually introducing AV technology alongside human workers, businesses can make the shift smoother and less disruptive.
17. AV-related industries could demand 250,000 new cybersecurity professionals
Self-driving vehicles rely on complex software systems that are vulnerable to hacking. As AVs become more common, cybersecurity threats will rise, creating new demand for professionals who can protect vehicle systems from cyberattacks.
This presents a huge opportunity for workers in the IT and cybersecurity fields. Those interested in future-proofing their careers should focus on ethical hacking, AI security, and network protection for autonomous vehicle systems.
Businesses investing in AV technology should also prioritize cybersecurity from the start, ensuring their fleets are protected from potential cyber threats. Governments may need to create new regulations for AV cybersecurity standards to keep both vehicles and passengers safe.
18. 85% of delivery jobs could be automated by 2040
Food, retail, and parcel delivery are among the most vulnerable jobs when it comes to automation. Self-driving delivery trucks and robots are already being tested, and their widespread adoption could drastically reduce the need for human couriers.
Workers in this sector should consider transitioning into roles related to AV fleet management, maintenance, or customer service. Instead of manually delivering packages, future delivery workers may oversee a fleet of AVs, ensuring deliveries are completed efficiently.
Retailers and logistics companies should begin preparing for this shift by investing in AV-compatible warehouse systems and training staff for new roles in an automated delivery ecosystem.
19. AV tech investment has exceeded $100 billion globally since 2015
The sheer scale of investment in AV technology highlights its inevitability. Major corporations, tech startups, and governments are pouring money into AV research, development, and infrastructure.
For entrepreneurs, this presents an opportunity to enter a fast-growing market. Whether through software development, AI training, or AV-related logistics solutions, there are countless ways to capitalize on this transformation.
Investors should also take note—companies that successfully integrate AV technology into their business models will likely see long-term financial gains. Startups focusing on AV infrastructure, such as smart traffic management systems or vehicle-to-vehicle communication, are particularly well-positioned for growth.
20. 5 million new high-skill jobs could emerge in AV manufacturing and programming
While AVs may replace some jobs, they will also create entirely new career opportunities. Engineers, software developers, and technicians will be in high demand to design, manufacture, and maintain these vehicles.
Workers looking to transition into this field should focus on acquiring skills in AI, machine learning, and AV hardware development. Universities and technical schools should also expand programs focused on AV-related disciplines to meet future labor demands.
Employers should consider hiring workers from adjacent industries, such as aerospace, robotics, and software development, to fill AV-related roles. By cross-training employees, companies can build a skilled workforce ready for the AV revolution.
21. AVs could reduce fuel consumption by 10-15%, altering jobs in fuel transport
Autonomous vehicles are designed to optimize fuel efficiency, which means the demand for fuel transport and distribution jobs may decline.
Gas station operators, fuel truck drivers, and oil industry workers should begin considering how to pivot into new roles. The growing electric vehicle (EV) market presents a strong alternative—jobs in battery production, EV charging infrastructure, and renewable energy are expected to increase.
For businesses in the fuel industry, adapting to this change means diversifying offerings. Investing in EV charging stations or alternative fuel technology could help them stay competitive in a rapidly shifting market.
22. 30% of public transit jobs could be impacted by AVs
Bus drivers, train operators, and transit maintenance workers may see significant job disruptions as AVs become more common. However, rather than eliminating these jobs entirely, AVs could shift these roles to system monitoring and control.
Public transit agencies should invest in workforce development programs that prepare employees for AV-related roles. Governments should also ensure that automation in public transit is introduced gradually, giving workers time to transition into new careers.
For transit workers, learning basic programming, maintenance, or AV fleet management skills could be the key to staying employed in an automated future.
23. $70 billion in potential annual savings from reduced traffic congestion
AVs could drastically reduce traffic congestion, leading to huge economic benefits. Less time stuck in traffic means lower fuel costs, fewer delays, and increased worker productivity.
Businesses should consider how to take advantage of these savings by optimizing logistics, reducing commuting times, or expanding remote work options. Governments should invest in smart infrastructure to maximize the benefits of AV technology.
Real estate markets could also shift as AVs make longer commutes more manageable, potentially increasing demand for suburban and rural housing. Entrepreneurs should look for opportunities in AV-adjacent industries, such as smart city planning and urban mobility solutions.
24. Over 50% of auto repair jobs could shift to AV software maintenance
Traditional auto mechanics will need to adapt as AVs replace conventional vehicles. Rather than fixing engines and transmissions, future repair jobs will focus on software updates, sensor maintenance, and AI troubleshooting.
Mechanics looking to future-proof their careers should start learning about AV technology now. Courses in automotive electronics, AI diagnostics, and cybersecurity can help workers stay relevant.
Auto repair shops should consider hiring software technicians or partnering with AV manufacturers to offer specialized maintenance services. By embracing AV technology early, businesses can stay ahead of the curve.
25. AVs could lower insurance industry revenue by $25 billion per year
Fewer accidents mean fewer insurance claims, which could disrupt the auto insurance industry. However, new types of insurance products will emerge, such as liability coverage for AV manufacturers and cybersecurity insurance for AV software.
Insurance professionals should consider specializing in AV-related policies, such as risk assessment for self-driving fleets or data privacy insurance. Companies should also prepare for regulatory changes that may shift liability from drivers to manufacturers.
26. 40% of food delivery jobs could be replaced by AV robots by 2035
Autonomous delivery robots and self-driving vehicles will change the food delivery industry. Restaurants, grocery stores, and delivery platforms should begin testing AV integration to stay ahead of competitors.
Workers in food delivery should look into transitioning into roles such as AV fleet monitoring, customer support, or logistics coordination. Businesses should offer training programs to help employees shift into tech-oriented roles rather than replacing them outright.
27. 3.5 million truck drivers could face job displacement in the U.S. alone
Long-haul trucking is one of the most vulnerable industries to AV automation. However, this transition will take time, allowing drivers to plan ahead.
Truck drivers should explore opportunities in local delivery, AV monitoring, or logistics management. Government programs should focus on reskilling workers before large-scale job losses occur.
28. 20-30% increase in demand for AV-related infrastructure jobs like sensor installation
AVs require significant infrastructure changes, including smart roads, traffic sensors, and communication networks. These upgrades will create thousands of new jobs.
Workers in construction, civil engineering, and IT should consider shifting toward AV infrastructure projects. Governments should prioritize funding for smart infrastructure to accelerate AV adoption.
29. AVs could create 200,000+ jobs in urban planning and smart city development
City planning will need to evolve to accommodate self-driving technology. This will create demand for urban planners, traffic engineers, and smart city developers.
Governments should invest in AV-friendly city planning now to ensure smooth integration. Urban planners should explore how AVs can improve city layouts, reduce congestion, and enhance public transit systems.
30. The transition to AVs could take 15-20 years, allowing gradual labor market adaptation
Despite concerns about job losses, AV adoption won’t happen overnight. This long timeline gives workers, businesses, and governments time to prepare.
Now is the time to invest in retraining, education, and policy planning. By acting early, industries can turn AV technology from a threat into an opportunity.
wrapping it up
The rise of autonomous vehicles is both an opportunity and a challenge. Millions of jobs that rely on driving could disappear, but at the same time, new industries and careers will emerge.
The key to navigating this shift is preparation. Workers must reskill, businesses must innovate, and governments must create policies that support a smooth transition.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://patentpc.com/blog/autonomous-vehicles-and-job-market-disruptions-will-avs-kill-or-create-jobs-labor-market-data
|
[
{
"date": "2025/06/26",
"position": 39,
"query": "job automation statistics"
}
] |
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] |
A 'White-Collar Blood Bath' Doesn't Have to Be Our Fate
|
A.I. Doesn’t Have to Mean a ‘White-Collar Blood Bath’ of Job Loss - The New York Times
|
https://www.nytimes.com
|
[
"Tim Wu"
] |
A scenario in the near future in which many college-educated workers are replaced by artificial intelligence programs that do their jobs faster and better.
|
The decision will depend on companies like Anthropic and OpenAI and whether they want to build ethical, sustainable technologies — as they say they do. In that case, they should design A.I. that works hand in hand with humans, rather than trying to build autonomous systems to replace us. Equally if not more important are the employers who adopt A.I. systems: If they really want productivity gains, they, too, must embrace A.I. programs that augment rather than replace.
The distinction between augmentation and replacement can be subtle. Any technology — from the stone ax onward — replaces some human work in the course of augmenting it. The key question is whether the tool enhances our abilities while still leaving us in control of how to use it. As Steve Jobs once put it, a computer can be “a bicycle of the mind.” Just as a word processor allows writers to write without having to laboriously correct and retype manuscripts, A.I. should help humans devote ourselves to our most significant and interesting challenges.
A simple example is Copilot, an A.I. tool offered by GitHub, an online service for computer programmers. When you write a line of code, Copilot suggests the next line of code, as with the “autocomplete” feature in texting. That can increase efficiency (when the suggestion is indeed what you had in mind) and spark new ideas (when the suggestion isn’t quite what you had in mind), while keeping the human user in the driver’s seat.
Another example is the A.I. technology that helps radiologists do their job better by refining images, automating routine tasks and flagging potential medical abnormalities. These are not autonomous systems that replace humans — as Geoffrey Hinton, a prominent A.I. scientist, predicted in 2016 they soon would be — but rather tools that make medical professionals better at their jobs.
The augmentation approach to A.I. isn’t just about preserving jobs, although that’s important, too. It’s also about keeping human interests central to our future. That may seem like an obvious goal, yet it is alarmingly easy to lose sight of. All systems are vulnerable to mission drift — when they gradually, often imperceptibly diverge from their original purpose — but the risk is compounded if we allow autonomous A.I. systems to run the show.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.nytimes.com/2025/06/24/opinion/ai-job-loss-white-collar.html
|
[
{
"date": "2025/06/24",
"position": 16,
"query": "artificial intelligence white collar workers"
},
{
"date": "2025/06/24",
"position": 15,
"query": "artificial intelligence white collar workers"
},
{
"date": "2024/07/01",
"position": 23,
"query": "artificial intelligence white collar workers"
},
{
"date": "2025/06/24",
"position": 22,
"query": "artificial intelligence white collar workers"
},
{
"date": "2025/06/24",
"position": 41,
"query": "artificial intelligence blue collar workers"
},
{
"date": "2025/06/24",
"position": 9,
"query": "artificial intelligence white collar workers"
}
] |
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Truckers left out of No Tax on Overtime bill - LandLine.media
|
Truckers left out of No Tax on Overtime bill
|
https://landline.media
|
[
"Mark Schremmer"
] |
The push by Trump and Hawley to eliminate taxes on overtime pay has been promoted as a way to help America's blue-collar workers. “The people ...
|
There is a bill in the Senate that would eliminate taxes on overtime wages. However, that benefit would not extend to truck drivers.
In March, Sen. Josh Hawley, R-Mo., introduced the No Tax on Overtime Act of 2025. The bill moves forward President Donald Trump’s campaign promise to “put American workers first.”
Although the Owner-Operator Independent Drivers Association supports the effort to end taxes on overtime pay, it is reminding lawmakers that current law would not allow truck drivers to receive the benefit.
That’s why OOIDA is encouraging Hawley and other lawmakers to support the Guaranteeing Overtime for Truckers Act, which would amend the Fair Labor Standards Act of 1938 to require that employee truck drivers receive overtime compensation when they work more than 40 hours in a week.
“America’s truckers are the backbone of our economy, keeping goods moving and ensuring our supply chain stays strong,” OOIDA President Todd Spencer said when the bill was introduced. “Yet despite their essential role, trucking remains one of the few professions in America denied guaranteed overtime pay. It’s long past time the hard work of the men and women behind the wheel is fairly compensated. By discounting a trucker’s time, ‘big trucking’ has driven wages downward, treating truckers as disposable rather than the skilled professionals they are.”
In addition to OOIDA, the bill is supported by the International Brotherhood of Teamsters, the Truck Safety Coalition and the Institute for Safer Trucking.
The push by Trump and Hawley to eliminate taxes on overtime pay has been promoted as a way to help America’s blue-collar workers.
“The people who work overtime are among the hardest-working citizens in our country,” Trump said during a campaign speech in September 2024.
The bipartisan GOT Truckers Act would not only enable employee truck drivers to receive overtime compensation but also allow them to receive a tax break if Hawley’s bill is passed into law. LL
| 2025-06-24T00:00:00 |
2025/06/24
|
https://landline.media/truckers-left-out-of-no-tax-on-overtime-bill/
|
[
{
"date": "2025/06/24",
"position": 95,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 97,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 95,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 93,
"query": "corporate taxes blue collar workers"
}
] |
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] |
Tax Compliance in White Collar Crime - Number Analytics
|
Tax Compliance in White Collar Crime
|
https://www.numberanalytics.com
|
[
"Sarah Lee"
] |
Corporate tax compliance is critical, as non-compliance can result in significant financial penalties and reputational damage. Individual Tax ...
|
A Comprehensive Guide to Avoiding Financial Penalties and Reputational Damage
Understanding Tax Compliance
Tax compliance is a critical aspect of any business or individual's financial obligations. It involves adhering to the tax laws and regulations set forth by the relevant authorities, ensuring timely and accurate submission of tax returns, and payment of taxes due. In this section, we will explore the definition and importance of tax compliance, its types, and the consequences of non-compliance.
Definition and Importance of Tax Compliance
Tax compliance refers to the process of ensuring that individuals and businesses meet their tax obligations in accordance with the tax laws and regulations of their jurisdiction. This includes filing tax returns on time, reporting all income accurately, and paying the correct amount of taxes due. The importance of tax compliance cannot be overstated, as it helps to maintain the integrity of the tax system, prevent tax evasion, and ensure that governments have the revenue needed to fund public goods and services.
Types of Tax Compliance: Corporate and Individual
There are two primary types of tax compliance: corporate and individual.
Corporate Tax Compliance : This involves ensuring that businesses comply with all relevant tax laws and regulations, including filing corporate tax returns, reporting income, and paying corporate taxes. Corporate tax compliance is critical, as non-compliance can result in significant financial penalties and reputational damage.
: This involves ensuring that businesses comply with all relevant tax laws and regulations, including filing corporate tax returns, reporting income, and paying corporate taxes. Corporate tax compliance is critical, as non-compliance can result in significant financial penalties and reputational damage. Individual Tax Compliance: This involves ensuring that individuals comply with all relevant tax laws and regulations, including filing personal tax returns, reporting income, and paying income taxes. Individual tax compliance is also crucial, as non-compliance can result in financial penalties, fines, and even imprisonment.
Consequences of Non-Compliance: Financial Penalties and Reputational Damage
The consequences of non-compliance with tax laws and regulations can be severe. Some of the potential consequences include:
Financial Penalties : Non-compliance can result in significant financial penalties, including fines and interest on unpaid taxes.
: Non-compliance can result in significant financial penalties, including fines and interest on unpaid taxes. Reputational Damage: Non-compliance can damage a business's or individual's reputation, leading to a loss of trust and confidence among stakeholders.
Risks Associated with Non-Compliance
Non-compliance with tax laws and regulations can have severe consequences for businesses and individuals. In this section, we will explore some of the risks associated with non-compliance.
Financial Penalties and Fines
One of the most significant risks associated with non-compliance is financial penalties and fines. Tax authorities can impose significant fines and penalties on businesses and individuals who fail to comply with tax laws and regulations. For example, in the United States, the Internal Revenue Service (IRS) can impose a penalty of up to 75% of the unpaid tax amount for cases involving tax evasion or fraud[^1](https://www.irs.gov/pub/irs-pdf/p17.pdf).
Reputational Damage and Loss of Business
Non-compliance can also result in reputational damage and loss of business. A business or individual found to be non-compliant with tax laws and regulations may suffer a loss of reputation, leading to a decline in business and revenue. According to a survey by the American Bar Association, 75% of respondents believed that a company's reputation is damaged when it is found to be non-compliant with tax laws and regulations[^2](https://www.americanbar.org/groups/taxation/publications/abataxbrief/2019-2020/january-2020/tax-compliance-reputation/).
Imprisonment and Other Legal Consequences
In severe cases, non-compliance can result in imprisonment and other legal consequences. For example, in the United States, tax evasion is a felony offense that can result in imprisonment for up to five years and a fine of up to _USD_250,000 for individuals[^3](https://www.irs.gov/irm/part9/irm_09-005-003r.html).
The following flowchart illustrates the potential consequences of non-compliance:
flowchart LR A["Non-Compliance"] --> B["Financial Penalties"] A --> C["Reputational Damage"] A --> D["Imprisonment"] B --> E["Loss of Business"] C --> E D --> F["Other Legal Consequences"]
Implementing Effective Compliance Measures
To avoid the risks associated with non-compliance, businesses and individuals must implement effective compliance measures. In this section, we will explore some of the steps that can be taken to ensure tax compliance.
Understanding Tax Laws and Regulations
The first step in implementing effective compliance measures is to understand the relevant tax laws and regulations. This includes staying up-to-date with changes to tax laws and regulations, as well as understanding the specific tax obligations of the business or individual.
Developing a Tax Compliance Program
A tax compliance program is a set of procedures and policies designed to ensure that a business or individual is in compliance with all relevant tax laws and regulations. A tax compliance program should include:
Tax Risk Assessment : A tax risk assessment is a process used to identify and assess potential tax risks.
: A tax risk assessment is a process used to identify and assess potential tax risks. Tax Policies and Procedures : Tax policies and procedures should be developed to ensure that tax obligations are met.
: Tax policies and procedures should be developed to ensure that tax obligations are met. Tax Training: Employees should be trained on tax compliance procedures to ensure that they understand their roles and responsibilities.
The following table illustrates the key components of a tax compliance program:
Component Description Tax Risk Assessment Identify and assess potential tax risks Tax Policies and Procedures Develop policies and procedures to ensure tax compliance Tax Training Train employees on tax compliance procedures
Training Employees on Tax Compliance Procedures
Training employees on tax compliance procedures is critical to ensuring that a business is in compliance with all relevant tax laws and regulations. Employees should be trained on the tax policies and procedures of the business, as well as their roles and responsibilities in ensuring tax compliance.
As noted by the Organisation for Economic Co-operation and Development (OECD), "tax compliance is not just about paying the right amount of tax, it is also about being transparent and cooperative with tax authorities"[^4](https://www.oecd.org/tax/forum-on-tax-administration/topics/compliance.htm). To achieve this, businesses and individuals must be proactive in implementing effective compliance measures.
The following mind map illustrates the key concepts related to tax compliance:
mindmap root((Tax Compliance)) Understanding Tax Laws Developing a Tax Compliance Program Training Employees Tax Risk Assessment Tax Policies and Procedures
In conclusion, tax compliance is a critical aspect of any business or individual's financial obligations. Non-compliance can result in significant financial penalties, reputational damage, and even imprisonment. To avoid these risks, businesses and individuals must implement effective compliance measures, including understanding tax laws and regulations, developing a tax compliance program, and training employees on tax compliance procedures.
Mathematical Representation of Tax Compliance
The probability of tax compliance can be represented mathematically as follows:
\[P(Compliance) = P(Understanding ; Tax ; Laws) \times P(Tax ; Compliance ; Program) \times P(Employee ; Training)\]
where $P(Compliance)$ is the probability of tax compliance, $P(Understanding ; Tax ; Laws)$ is the probability of understanding tax laws and regulations, $P(Tax ; Compliance ; Program)$ is the probability of having an effective tax compliance program, and $P(Employee ; Training)$ is the probability of employee training.
References
FAQ
Q: What is tax compliance?
A: Tax compliance refers to the process of ensuring that individuals and businesses meet their tax obligations in accordance with the tax laws and regulations of their jurisdiction.
Q: Why is tax compliance important?
A: Tax compliance is important because it helps to maintain the integrity of the tax system, prevent tax evasion, and ensure that governments have the revenue needed to fund public goods and services.
Q: What are the consequences of non-compliance with tax laws and regulations?
A: The consequences of non-compliance can include financial penalties, reputational damage, and even imprisonment.
Q: How can businesses and individuals ensure tax compliance?
A: Businesses and individuals can ensure tax compliance by understanding tax laws and regulations, developing a tax compliance program, and training employees on tax compliance procedures.
| 2025-06-24T00:00:00 |
https://www.numberanalytics.com/blog/ultimate-guide-tax-compliance-white-collar-crime
|
[
{
"date": "2025/06/24",
"position": 5,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 4,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 4,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 5,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 4,
"query": "corporate taxes white collar workers"
}
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|
The Role of Tax Compliance in Preventing White Collar Crime
|
The Role of Tax Compliance in Preventing White Collar Crime
|
https://www.numberanalytics.com
|
[
"Sarah Lee"
] |
... employees understand their roles and responsibilities in maintaining tax compliance. ... Ensuring business continuity and stability: Tax ...
|
Best Practices for Businesses and Individuals to Avoid Financial and Reputational Risks
White collar crime is a pervasive issue that affects businesses and individuals worldwide. One of the key strategies in preventing such crimes is ensuring tax compliance. In this article, we will explore the role of tax compliance in preventing white collar crime and discuss best practices for businesses and individuals to avoid financial and reputational risks.
The Importance of Tax Compliance
Tax compliance refers to the adherence to tax laws and regulations, including the accurate reporting of income and expenses, and the timely payment of taxes. It is essential for businesses and individuals to comply with tax laws to avoid financial penalties, fines, and reputational damage. Moreover, tax compliance plays a crucial role in preventing white collar crime, such as tax evasion, money laundering, and financial statement fraud.
Best Practices for Tax Compliance
To ensure tax compliance, businesses and individuals should adopt the following best practices:
Conducting regular tax audits and risk assessments : Regular tax audits and risk assessments help identify potential tax compliance issues before they become major problems. This involves reviewing financial statements, tax returns, and other relevant documents to ensure accuracy and compliance with tax laws.
: Regular tax audits and risk assessments help identify potential tax compliance issues before they become major problems. This involves reviewing financial statements, tax returns, and other relevant documents to ensure accuracy and compliance with tax laws. Implementing a tax compliance program : A tax compliance program outlines policies, procedures, and controls to ensure tax compliance. It should include guidelines for tax reporting, payment, and record-keeping, as well as procedures for addressing tax audits and disputes.
: A tax compliance program outlines policies, procedures, and controls to ensure tax compliance. It should include guidelines for tax reporting, payment, and record-keeping, as well as procedures for addressing tax audits and disputes. Providing training on tax compliance procedures: Providing training on tax compliance procedures ensures that employees understand their roles and responsibilities in maintaining tax compliance. This includes training on tax laws, regulations, and reporting requirements.
The following flowchart illustrates the steps involved in implementing a tax compliance program:
flowchart LR A["Establish Tax Compliance Program"] --> B["Identify Tax Risks"] B --> C["Develop Tax Policies and Procedures"] C --> D["Implement Tax Controls"] D --> E["Monitor and Review Tax Compliance"] E --> F["Update Tax Compliance Program"]
Common Tax Compliance Mistakes
Despite the importance of tax compliance, many businesses and individuals make mistakes that can lead to financial penalties, fines, and reputational damage. Some common tax compliance mistakes include:
Failure to report income or expenses : Failing to report income or expenses can result in inaccurate tax returns and potential tax evasion allegations.
: Failing to report income or expenses can result in inaccurate tax returns and potential tax evasion allegations. Inaccurate or incomplete tax returns : Submitting inaccurate or incomplete tax returns can lead to tax audits, penalties, and fines.
: Submitting inaccurate or incomplete tax returns can lead to tax audits, penalties, and fines. Failure to comply with tax laws and regulations: Failing to comply with tax laws and regulations can result in significant financial penalties and reputational damage.
The following table summarizes the potential consequences of common tax compliance mistakes:
Mistake Potential Consequences Failure to report income or expenses Tax evasion allegations, penalties, and fines Inaccurate or incomplete tax returns Tax audits, penalties, and fines Failure to comply with tax laws Financial penalties, reputational damage, and fines
Benefits of Tax Compliance
Ensuring tax compliance offers numerous benefits for businesses and individuals, including:
Avoiding financial penalties and fines : Complying with tax laws and regulations helps avoid financial penalties and fines associated with non-compliance.
: Complying with tax laws and regulations helps avoid financial penalties and fines associated with non-compliance. Reducing reputational risks : Tax compliance demonstrates a commitment to ethical business practices and reduces the risk of reputational damage.
: Tax compliance demonstrates a commitment to ethical business practices and reduces the risk of reputational damage. Ensuring business continuity and stability: Tax compliance helps ensure business continuity and stability by avoiding disruptions associated with tax audits and disputes.
As noted by the Organisation for Economic Co-operation and Development (OECD), "Tax compliance is essential for the integrity of the tax system and the economy as a whole." 1
"Tax compliance is not just about meeting legal obligations; it's also about maintaining a positive reputation and avoiding financial risks." - Tax expert
Mathematical Representation of Tax Compliance Benefits
Let's consider a simple mathematical representation of the benefits of tax compliance. Assume that the cost of non-compliance is represented by the following equation:
\[ C = P \times F + R \]
Where:
\( C \) is the total cost of non-compliance
\( P \) is the probability of being caught for non-compliance
\( F \) is the financial penalty associated with non-compliance
\( R \) is the reputational damage associated with non-compliance
By ensuring tax compliance, businesses and individuals can minimize the cost of non-compliance, thereby avoiding financial penalties and reputational damage.
Conclusion
In conclusion, tax compliance plays a vital role in preventing white collar crime and ensuring the integrity of the tax system. By adopting best practices for tax compliance, businesses and individuals can avoid financial penalties, fines, and reputational damage. It is essential to understand the importance of tax compliance and take proactive steps to ensure adherence to tax laws and regulations.
References
FAQ
Q: What is tax compliance?
A: Tax compliance refers to the adherence to tax laws and regulations, including the accurate reporting of income and expenses, and the timely payment of taxes.
Q: Why is tax compliance important?
A: Tax compliance is essential for preventing white collar crime, avoiding financial penalties and fines, and maintaining a positive reputation.
Q: What are the consequences of non-compliance?
A: Non-compliance can result in financial penalties, fines, reputational damage, and even tax evasion allegations.
Q: How can businesses ensure tax compliance?
A: Businesses can ensure tax compliance by conducting regular tax audits and risk assessments, implementing a tax compliance program, and providing training on tax compliance procedures.
| 2025-06-24T00:00:00 |
https://www.numberanalytics.com/blog/role-tax-compliance-preventing-white-collar-crime
|
[
{
"date": "2025/06/24",
"position": 61,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 77,
"query": "corporate taxes white collar workers"
}
] |
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|
President Trump's One Big Beautiful Bill Prevents the Largest Tax ...
|
President Trump’s One Big Beautiful Bill Prevents the Largest Tax Hike in History and Unleashes Economic Growth
|
https://www.whitehouse.gov
|
[
"The White House"
] |
Historic Tax Relief for Workers: 15% tax cut for Americans earning between $30,000 and $80,000 per year. No Taxes on Overtime or Tips: Saves ...
|
Articles President Trump’s One Big Beautiful Bill Prevents the Largest Tax Hike in History and Unleashes Economic Growth
THE ONE BIG BEAUTIFUL BILL DELIVERS FOR THE AMERICAN WORKER: The One Big Beautiful Bill delivers the largest tax cut for working- and middle-class Americans in history. Put simply, President Trump’s One Big Beautiful Bill will unleash our economy and deliver a Blue-Collar BOOM.
Bigger Paychecks: Hardworking Americans and families will see an average increase in take-home pay of OVER $10,000 per year.
Hardworking Americans and families will see an average increase in take-home pay of OVER $10,000 per year. Historic Tax Relief for Workers: 15% tax cut for Americans earning between $30,000 and $80,000 per year.
15% tax cut for Americans earning between $30,000 and $80,000 per year. No Taxes on Overtime or Tips: Saves overtime and tipped workers nearly $2,000 annually.
Saves overtime and tipped workers nearly $2,000 annually. Historic Tax Breaks for Seniors: Introduces unprecedented financial relief for seniors.
Introduces unprecedented financial relief for seniors. Made-in-America Tax Breaks: Interest deduction for loans on new American-made vehicles.
Interest deduction for loans on new American-made vehicles. Large Standard Deduction: Keeps the doubled standard deduction used by 91% of taxpayers, ensuring taxpayers keep more of their money with a simpler tax break.
Provides Historic Relief for Working Families
Bolsters Child Tax Credit: Increases and makes permanent the child tax credit, supporting over 40 million families.
Increases and makes permanent the child tax credit, supporting over 40 million families. Supports Working Families: Expands childcare access and makes the paid leave tax credit permanent.
Expands childcare access and makes the paid leave tax credit permanent. Establishes Trump Investment Accounts for Newborns: Creates savings accounts to secure financial futures for every American child from birth.
Creates savings accounts to secure financial futures for every American child from birth. Improves Housing Affordability: Expands the Low-Income Housing Tax Credit to incentivize the construction of affordable homes for American families.
Expands the Low-Income Housing Tax Credit to incentivize the construction of affordable homes for American families. Supports Family Farms: Raises death tax exemption, Increasing the amount family farms can inherit without paying taxes—protecting two million family farms from excessive taxation.
Raises death tax exemption, Increasing the amount family farms can inherit without paying taxes—protecting two million family farms from excessive taxation. Empowers School Choices: Enhances 529 savings accounts to make education affordable and empower American families and students to choose the education that best fits their needs.
Drives Economic Growth Through America First Tax Policies
Incentivizes Made-in-America Manufacturing: Full expensing for new factories and improvements to unleash domestic production.
Full expensing for new factories and improvements to unleash domestic production. Expands Opportunity Zones : Permanently renews program, unlocking $100B+ for rural and distressed communities.
: Permanently renews program, unlocking $100B+ for rural and distressed communities. Boosts American Businesses: The bill delivers full 100% expensing for new factories, equipment, and machinery.
Puts Main Street Over Wall Street
Promotes Growth: Helps small businesses keep more money by making permanent—and enhancing—the small business tax deduction, making it easier to grow and hire.
Helps small businesses keep more money by making permanent—and enhancing—the small business tax deduction, making it easier to grow and hire. Doubles Small Business Expensing: Raises the limit for small businesses to immediately deduct up to $2.5 million in equipment and property costs, helping them hire more workers and expand.
President Trump’s One Big Beautiful Bill lowers tax rates to keep more money in Americans’ pockets—PREVENTING THE LARGEST TAX HIKE IN HISTORY.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.whitehouse.gov/articles/2025/06/president-trumps-one-big-beautiful-bill-prevents-the-largest-tax-hike-in-history-and-unleashes-economic-growth/
|
[
{
"date": "2025/06/24",
"position": 74,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 5,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 53,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 61,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 6,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 52,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 4,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 7,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 52,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 1,
"query": "corporate taxes blue collar workers"
},
{
"date": "2025/06/24",
"position": 55,
"query": "corporate taxes white collar workers"
}
] |
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A guide to equity in the workplace | Achievers
|
A guide to equity in the workplace
|
https://www.achievers.com
|
[
"Iris Leung"
] |
Workplace equity means making sure every employee has fair access to opportunities, resources, and recognition — so they can fully contribute ...
|
What are the principles of equity in the workplace?
Workplace equity shouldn’t be an aspiration — it should be the norm. Everyone deserves fair access to opportunity, recognition, and a real sense of belonging. But the numbers? They’re still catching up. As of 2024, women hold just 29% of executive roles in S&P 100 companies — and only 9% of CEO positions.
That’s not just a pipeline problem. It’s a culture problem. Equity can’t live in a mission statement — it has to show up in the moments that matter: who gets recognized, who gets promoted, and who feels like they truly belong. When it’s consistent, inclusive, and tied to impact, recognition becomes a culture-shaping force that helps close equity gaps and drive results where they matter most.
So, what does equity in the workplace really mean — and how can organizations make it real? Let’s break it down.
What is equity in the workplace?
Workplace equity means making sure every employee has fair access to opportunities, resources, and recognition — so they can fully contribute and grow. It’s not about treating everyone the same; it’s about removing systemic barriers, addressing individual needs, and creating a culture where success feels possible for everyone, not just a select few.
Why is equity important in the workplace?
Fairness shouldn’t feel like a bonus. When people trust that they’ll be heard, recognized, and given a real chance to grow, they’re more likely to stay engaged — and show up with purpose.
Here’s what happens when equity is part of the everyday:
Higher engagement: When employees feel genuinely supported, engagement goes up — along with energy, purpose, and maybe even job satisfaction.
When employees feel genuinely supported, engagement goes up — along with energy, purpose, and maybe even job satisfaction. Stronger collaboration: Equitable workplaces make space for more voices, which means more collaboration, better decisions, and less side-eye.
Equitable workplaces make space for more voices, which means more collaboration, better decisions, and less side-eye. Better performance: When people have the right tools and support (not just the same ones), they’re set up to succeed — and they do.
When people have the right tools and support (not just the same ones), they’re set up to succeed — and they do. Talent attraction: A culture built on fairness and belonging doesn’t just retain talent — it attracts it. Insights from the 2024 Engagement and Retention Report tell us that 72% of employees would take support and value over a 30% raise (Translation: belonging > bigger paycheck.)
A culture built on fairness and belonging doesn’t just retain talent — it attracts it. Insights from the 2024 Engagement and Retention Report tell us that 72% of employees would take support and value over a 30% raise (Translation: belonging > bigger paycheck.) Healthier workplaces: Equity supports more than performance. It supports people — and that’s what builds a company culture worth staying for.
What are the principles of equity in the workplace?
Equity can’t be solved with a single policy or training session — it has to be part of how your culture works every day. That means looking beyond surface-level commitments and focusing on the principles that really shape employee experience.
Here’s what that looks like in practice:
Transparent communication: Trust grows when people understand how decisions are made — not through whispers, but through clear, open dialogue.
Trust grows when people understand how decisions are made — Education and awareness: Building equity starts with seeing the gaps. Ongoing education, bias training, and honest conversations help people become part of the solution.
Building equity starts with seeing the gaps. Ongoing education, bias training, and honest conversations help people become part of the solution. Leadership accountability: Equity needs action, not slogans. Leaders should set goals, track progress, and stay connected through tools that surface real-time feedback and recognition.
Equity needs action, not slogans. Leaders should set goals, track progress, and stay connected through tools that surface real-time feedback and recognition. Equal opportunities: Everyone deserves a fair shot at growth and leadership. People who see promotion equity in their workplace are more than twice as likely to say they can see themselves having a long career at the company.
Everyone deserves a fair shot at growth and leadership. People who see promotion equity in their workplace are more than twice as likely to say they can see themselves having a long career at the company. Inclusive practices: Equity should show up in every touchpoint — from hiring to performance reviews and frequent recognition. It’s not a side program; it’s how you operate.
Equity should show up in every touchpoint — from hiring to performance reviews and frequent recognition. It’s not a side program; it’s how you operate. Tailored fairness: Equity isn’t about treating everyone the same — it’s about giving people what they need to succeed. That might look different for each person, and that’s the point.
Equity isn’t about treating everyone the same — it’s about giving people what they need to succeed. That might look different for each person, and that’s the point. Removing systemic barriers: Equity means tackling the systems that quietly hold people back — from biased job descriptions to one-size-fits-all policies — and doing the work to break them down.
Equity means tackling the systems that quietly hold people back — from biased job descriptions to one-size-fits-all policies — and doing the work to break them down. Connection to DEIB: Equity is what turns good intentions into real outcomes by making sure everyone has the tools, support, and recognition they need to thrive.
Strategies to promote equity at work
Equity doesn’t fall into place just because you say it matters — it takes real work, every single day. It shows up in how you hire, how you champion your people, and how you build a culture where everyone feels like they belong (not just the ones who’ve figured out how to “fit in”).
Here are some people-first strategies to help turn equity into everyday action:
Diversity mentorship programs: Connect senior leaders with employees from underrepresented groups to support growth and break down career roadblocks. It’s about access, visibility, and opening doors that have been closed for too long.
Connect senior leaders with employees from underrepresented groups to support growth and break down career roadblocks. It’s about access, visibility, and opening doors that have been closed for too long. Employee Resource Groups (ERGs): ERGs give employees a place to connect, share, and advocate. But they’re more than social groups — they can influence policy, shape culture, and build real community.
ERGs give employees a place to connect, share, and advocate. But they’re more than social groups — they can influence policy, shape culture, and build real community. Diversity training: Forget the one-and-done workshops. Meaningful DEIB training should spark self-awareness, challenge assumptions, and give people the tools to lead more inclusively at every level.
Forget the one-and-done workshops. Meaningful DEIB training should spark self-awareness, challenge assumptions, and give people the tools to lead more inclusively at every level. Celebrate cultural holidays: Inclusion shows up in the details. Recognizing cultural and religious holidays — and giving people the space to celebrate them — is a small act that sends a big message: you belong here.
Inclusion shows up in the details. Recognizing cultural and religious holidays — and giving people the space to celebrate them — is a small act that sends a big message: you belong here. Promote accessibility: If people can’t fully participate, they can’t fully belong. Make sure your spaces — physical and digital — work for everyone, whether that means screen readers, ramps, or simply more thoughtful design.
If people can’t fully participate, they can’t fully belong. Make sure your spaces — physical and digital — work for everyone, whether that means screen readers, ramps, or simply more thoughtful design. Examine onboarding: Onboarding is your culture’s first impression. Make sure it’s welcoming, inclusive, and doesn’t assume everyone comes in knowing the unspoken rules of the office.
Onboarding is your culture’s first impression. Make sure it’s welcoming, inclusive, and doesn’t assume everyone comes in knowing the unspoken rules of the office. Update hiring practices: Using clear criteria, diverse panels, and consistent interviews helps reduce bias — and keeps the playing field level. Don’t wait for problems to show up before reviewing your process. Check in often to make sure it’s still working for everyone.
Using clear criteria, diverse panels, and consistent interviews helps reduce bias — and keeps the playing field level. Don’t wait for problems to show up before reviewing your process. Check in often to make sure it’s still working for everyone. Recognize unconscious bias: Bias isn’t always loud, but it’s always there. Help your people name it, check it, and move toward more objective, fair decisions — especially when it comes to hiring and promotions.
Bias isn’t always loud, but it’s always there. Help your people name it, check it, and move toward more objective, fair decisions — especially when it comes to hiring and promotions. Promote DEIB from the top: If leadership isn’t backing DEIB, it’s just lip service. Make equity a leadership priority by setting goals, tracking progress, and celebrating wins along the way.
Why recognition belongs in your workplace equity strategy
Equity isn’t just about who moves up — it’s about whose work gets noticed, whose voice gets heard, and who feels like they truly matter. Recognition plays a big part in that.
When it’s done well, recognition makes impact visible — not just for the loudest voices, but for everyone contributing in meaningful ways. It helps level the playing field and reinforces the idea that everyone belongs.
Recognition programs like Achievers make appreciation feel natural — not forced. They fit right into the tools your team already uses, offer rewards people actually want, and even help avoid the awkward “good job!” emails. And when recognition feels authentic — not automated — it does what it’s meant to do: make people feel like their work matters.
How to measure equity in the workplace
If equity is going to be more than a buzzword, you need a way to measure it. That means going beyond gut checks and looking at the data behind your decisions — who’s getting hired, promoted, paid, and supported.
Here’s where to start:
Look at pay equity: Break down compensation data across roles, experience levels, and demographics. People doing similar work should be paid fairly — no exceptions, no surprises.
Break down compensation data across roles, experience levels, and demographics. People doing similar work should be paid fairly — no exceptions, no surprises. Track promotion rates: Take a close look at who’s moving up. If certain groups are consistently underrepresented in leadership, it’s a sign your advancement pathways need rethinking.
Take a close look at who’s moving up. If certain groups are consistently underrepresented in leadership, it’s a sign your advancement pathways need rethinking. Run feedback surveys: Ask employees how they’re experiencing your culture. Do they feel included? Valued? Do they believe they have a fair shot at growth? The answers offer insight you won’t get from spreadsheets alone.
Ask employees how they’re experiencing your culture. Do they feel included? Valued? Do they believe they have a fair shot at growth? The answers offer insight you won’t get from spreadsheets alone. Audit your hiring practices: Check if your recruitment process is welcoming to a wide range of candidates — not just on paper, but in experience. Look at who’s applying, who’s advancing, and who’s getting offers.
Check if your recruitment process is welcoming to a wide range of candidates — not just on paper, but in experience. Look at who’s applying, who’s advancing, and who’s getting offers. Analyze recognition patterns: Recognition data offers a unique lens into equity. Are certain teams or demographics being recognized more often — or not at all? Are you using a recognition platform to help uncover those trends so you can close visibility gaps before they turn into retention issues?
Recognition data offers a unique lens into equity. Are certain teams or demographics being recognized more often — or not at all? Are you using a recognition platform to help uncover those trends so you can close visibility gaps before they turn into retention issues? Use insights to spot trends early: Tools like Achievers help uncover equity gaps through real-time recognition and engagement data — making it easier for leaders to respond with intention, not guesswork.
Tools like Achievers help uncover equity gaps through real-time recognition and engagement data — making it easier for leaders to respond with intention, not guesswork. Review and act on the data: Equity isn’t “set it and forget it.” Track trends over time, share the results openly, and use them to guide smarter, more inclusive decisions.
Turn equity into action with Achievers
Let’s be honest — equity doesn’t come from a one-time training, or a values slide buried in your onboarding deck. It’s built in the everyday: in who gets recognized, who gets heard, and who gets a real shot at growth.
It’s also messy sometimes. You won’t always get it right. But when you’re listening often, recognizing fairly, and checking your blind spots with intention (and a little humility), you’re moving in the right direction.
The goal isn’t to be perfect. It’s to be better — more aware, more inclusive, more human. That’s what turns equity from a line in your mission statement to something your people feel; not just during onboarding but on that random Tuesday afternoon.
And that’s exactly the kind of culture Achievers help companies build — one recognition, one insight, one intentional moment at a time.
Equity in the workplace FAQs How do you show equity at work? Showing equity at work is less about grand gestures, more about consistent choices. Equity shows up in how decisions are made, who gets recognized, and how support is offered. It’s about creating an environment where every employee has a real chance to succeed — not just the ones who already know how to navigate the system. What are examples of employment equity? Workplace equity shows up in the systems that shape day-to-day experience — not just in policy, but in practice. A few clear examples include: Pay equity: People doing equal-value work should be paid fairly — no matter their gender, race, or background.
People doing equal-value work should be paid fairly — no matter their gender, race, or background. Equitable promotion paths: Clear criteria and transparent processes help ensure promotions aren’t based on who’s in the inner circle — but who’s ready to grow.
Clear criteria and transparent processes help ensure promotions aren’t based on who’s in the inner circle — but who’s ready to grow. Access to resources: Equity means giving people the tools they need to succeed — whether that’s adaptive tech, extra training, or a mentor who gets it. What is the equity theory in the workplace? Equity theory in the workplace is a psychological framework that looks at fairness as a motivation driver. When people feel that what they put in (effort, time, skills) is matched by what they get back (recognition, growth, rewards), they’re more likely to stay engaged. When that balance feels off? Motivation tends to take a hit. What does it mean to work in equity? In startup or financial companies, “working in equity” usually means receiving part of your compensation as ownership — like stock options or shares. It’s a different kind of equity but still rooted in value: you’re betting on the company’s success, and they’re betting on yours. How to overcome common barriers to workplace equity Equity efforts often hit a wall because of hidden barriers — like unconscious bias, outdated policies, or a lack of good data. These issues don’t always shout; sometimes they quietly shape who gets hired, promoted, or encouraged. The fix? Start with awareness, then build systems that back it up. That means training to spot bias, using structured evaluations, and regularly reviewing policies to make sure they’re still serving everyone fairly. Strong leadership matters too — when leaders set the tone, model inclusive behaviors, and stay accountable, equity becomes more than a talking point. It becomes part of how your culture works.
| 2025-06-24T00:00:00 |
https://www.achievers.com/blog/equity-in-the-workplace/
|
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|
Stock Exchange Rules in White Collar Crime - Number Analytics
|
Stock Exchange Rules in White Collar Crime
|
https://www.numberanalytics.com
|
[
"Sarah Lee"
] |
Stock exchange regulations are designed to ensure fair and transparent markets, protect investors, and maintain the integrity of the financial ...
|
Understanding the regulations and laws governing stock exchanges in white collar crimes
Stock Exchange Rules in White Collar Crime
Introduction to Stock Exchange Rules
The stock exchange is a critical component of modern economies, facilitating the buying and selling of securities and enabling companies to raise capital. However, the stock exchange is also vulnerable to white collar crime, including insider trading and market manipulation. To prevent and detect these crimes, stock exchanges are governed by a complex set of rules and regulations. In this article, we will provide an overview of stock exchange regulations, their history, and their importance in preventing white collar crime.
Overview of Stock Exchange Regulations
Stock exchange regulations are designed to ensure fair and transparent markets, protect investors, and maintain the integrity of the financial system. These regulations govern various aspects of stock exchange operations, including listing requirements, trading practices, and disclosure obligations. The main regulatory bodies responsible for enforcing these regulations are government agencies, such as the Securities and Exchange Commission (SEC) in the United States.
History of Stock Exchange Regulations
The history of stock exchange regulations dates back to the early 20th century, when the first securities laws were enacted in response to the 1929 stock market crash. The Securities Exchange Act of 1934 established the SEC and gave it the authority to regulate the securities industry. Since then, numerous laws and regulations have been passed to strengthen stock exchange regulations, including the Sarbanes-Oxley Act of 2002 and the Dodd-Frank Wall Street Reform and Consumer Protection Act of 2010.
Importance of Understanding Stock Exchange Rules
Understanding stock exchange rules is crucial for investors, financial institutions, and companies listed on the stock exchange. Non-compliance with these rules can result in severe penalties, reputation damage, and financial losses. Moreover, stock exchange rules play a critical role in maintaining the integrity of the financial system and preventing white collar crime.
Key Players in Stock Exchange Regulations
Several key players are involved in stock exchange regulations, including regulatory bodies, stock exchanges, financial institutions, and investors.
Regulatory Bodies
Regulatory bodies, such as the SEC, play a crucial role in enforcing stock exchange regulations. Their responsibilities include:
Setting and enforcing rules and regulations
Monitoring trading activity and investigating suspicious transactions
Imposing penalties and fines on non-compliant entities
Providing guidance and education to market participants
Stock Exchanges
Stock exchanges, such as the New York Stock Exchange (NYSE) and NASDAQ, are responsible for operating and maintaining fair and orderly markets. Their responsibilities include:
Listing and delisting securities
Monitoring trading activity and enforcing exchange rules
Providing market data and other services to investors
Maintaining the integrity of the trading environment
Financial Institutions and Investors
Financial institutions and investors are also key players in stock exchange regulations. They must comply with stock exchange rules and regulations, including those related to insider trading and market manipulation.
Consequences of Non-Compliance
Non-compliance with stock exchange rules can have severe consequences, including penalties, reputation damage, and financial losses.
Penalties for Insider Trading and Market Manipulation
Insider trading and market manipulation are serious offenses that can result in significant penalties. The SEC can impose fines and penalties on individuals and entities found guilty of these crimes. For example, in 2020, the SEC imposed a _USD_65 million fine on a group of individuals for insider trading 1.
Reputation Damage and Financial Losses
Non-compliance with stock exchange rules can also result in reputation damage and financial losses. Companies found guilty of insider trading or market manipulation may suffer a loss of investor confidence, leading to a decline in stock price and financial losses.
Impact on Investors and the Broader Market
Non-compliance with stock exchange rules can also have a broader impact on investors and the financial market as a whole. Insider trading and market manipulation can distort market prices, leading to unfair outcomes for investors and undermining the integrity of the financial system.
The following flowchart illustrates the consequences of non-compliance with stock exchange rules:
graph LR; A["Non-Compliance"] --> B["Penalties"]; A --> C["Reputation Damage"]; A --> D["Financial Losses"]; C --> E["Loss of Investor Confidence"]; D --> F["Decline in Stock Price"]; E --> F; F --> G["Broader Market Impact"];
Insider Trading and Market Manipulation
Insider trading and market manipulation are two of the most significant white collar crimes that occur on stock exchanges. Insider trading involves the use of non-public information to trade securities, while market manipulation involves the manipulation of market prices through false or misleading information.
Detecting and Preventing Insider Trading
Detecting and preventing insider trading requires a combination of regulatory oversight, market surveillance, and education. The SEC uses various tools and techniques to detect insider trading, including data analytics and machine learning algorithms.
The following table summarizes the key characteristics of insider trading:
Characteristic Description Non-Public Information Information not available to the general public Trading Activity Buying or selling securities based on non-public information Intent Intent to deceive or manipulate the market
Detecting and Preventing Market Manipulation
Detecting and preventing market manipulation requires a similar combination of regulatory oversight, market surveillance, and education. The SEC uses various tools and techniques to detect market manipulation, including data analytics and machine learning algorithms.
The following equation illustrates the impact of market manipulation on stock prices:
\[ P = \frac{(D + M)}{S} \]
Where:
$P$ is the stock price
$D$ is the fundamental value of the stock
$M$ is the manipulation factor
$S$ is the supply of the stock
In conclusion, stock exchange rules play a critical role in preventing and detecting white collar crime, including insider trading and market manipulation. Understanding these rules is essential for investors, financial institutions, and companies listed on the stock exchange.
References
FAQ
Q: What is insider trading?
A: Insider trading is the use of non-public information to trade securities.
Q: What is market manipulation?
A: Market manipulation is the manipulation of market prices through false or misleading information.
Q: What are the consequences of non-compliance with stock exchange rules?
A: Non-compliance with stock exchange rules can result in penalties, reputation damage, and financial losses.
Q: How can insider trading and market manipulation be detected and prevented?
A: Detecting and preventing insider trading and market manipulation requires a combination of regulatory oversight, market surveillance, and education.
| 2025-06-24T00:00:00 |
https://www.numberanalytics.com/blog/stock-exchange-rules-white-collar-crime
|
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|
Cracking Down on Cartels: Antitrust Laws - Number Analytics
|
Cracking Down on Cartels: Antitrust Laws
|
https://www.numberanalytics.com
|
[
"Sarah Lee"
] |
A comprehensive guide to navigating the complexities of antitrust laws and their implications on white collar crime.
|
Understanding the intricacies of white collar crime and antitrust regulations in the business world
Understanding Antitrust Laws
Antitrust laws, also known as competition laws, are regulations designed to promote fair competition and prevent monopolies. The history of antitrust laws dates back to the late 19th century when the United States enacted the Sherman Antitrust Act in 1890.
Definition and History of Antitrust Laws
The Sherman Antitrust Act was the first federal law aimed at prohibiting trusts and monopolies. It was enacted to prevent the concentration of economic power and promote competition. Over the years, antitrust laws have evolved to address new challenges and complexities in the business world. The key legislation includes:
Sherman Antitrust Act (1890)
Clayton Antitrust Act (1914)
Federal Trade Commission Act (1914)
Key Principles and Objectives
The primary objectives of antitrust laws are to:
Promote competition and innovation
Protect consumers from anti-competitive practices
Prevent the concentration of economic power
Ensure fair market access for businesses
The key principles of antitrust laws include:
Prohibiting agreements that restrict competition
Preventing the abuse of dominance
Regulating mergers and acquisitions
Notable Cases and Their Impact
Some notable antitrust cases have shaped the landscape of competition law. For example:
Standard Oil Co. v. United States (1911): The Supreme Court ruled that Standard Oil's dominance in the oil industry was a monopoly and ordered its dissolution.
(1911): The Supreme Court ruled that Standard Oil's dominance in the oil industry was a monopoly and ordered its dissolution. United States v. Microsoft (2001): The court found Microsoft guilty of abusing its dominance in the software market.
These cases demonstrate the significance of antitrust laws in promoting competition and preventing anti-competitive practices.
Types of Antitrust Violations
Antitrust violations can take various forms, including:
Price-Fixing and Bid-Rigging
Price-fixing occurs when businesses collude to set prices, while bid-rigging involves manipulating the bidding process to favor a particular company. Both practices harm consumers and stifle competition.
Monopolization and Abuse of Dominance
Monopolization occurs when a company gains or maintains a dominant market position through anti-competitive means. Abuse of dominance involves exploiting a dominant position to stifle competition or harm consumers.
Cartel Formation and Operation
Cartels are agreements between businesses to restrict competition. Cartel formation and operation can involve price-fixing, bid-rigging, and other anti-competitive practices.
The following flowchart illustrates the different types of antitrust violations:
flowchart LR A["Antitrust Violations"] --> B["Price-Fixing and Bid-Rigging"] A --> C["Monopolization and Abuse of Dominance"] A --> D["Cartel Formation and Operation"] B --> E["Harm to Consumers"] C --> F["Stifling Competition"] D --> G["Restricting Competition"]
Consequences of Non-Compliance
Non-compliance with antitrust laws can result in severe consequences, including:
Fines and Penalties for Individuals and Businesses
Fines and penalties can be substantial, with some cases resulting in billions of dollars in fines. For example, in 2019, the European Commission fined Google €1.49 billion for abusing its dominance in the online advertising market.
Imprisonment and Other Criminal Sanctions
In some jurisdictions, antitrust violations can result in imprisonment. In the United States, for example, individuals can face up to 10 years in prison for violating antitrust laws.
Reputational Damage and Loss of Business
Non-compliance with antitrust laws can also result in reputational damage and loss of business. Companies found guilty of antitrust violations may face boycotts, loss of customers, and damage to their brand.
The following table summarizes the consequences of non-compliance:
Consequence Description Fines and Penalties Substantial fines for individuals and businesses Imprisonment Criminal sanctions, including imprisonment Reputational Damage Loss of reputation and brand damage Loss of Business Boycotts, loss of customers, and loss of business
The expected fine for a company can be modeled using the following mathematical expression:
\[ \text{Expected Fine} = \text{Probability of Detection} \times \text{Fine Amount} \]
Where:
Probability of Detection is the likelihood of being caught violating antitrust laws
Fine Amount is the potential fine imposed by regulatory authorities
To minimize the risk of non-compliance, businesses must implement effective compliance programs and monitor their market activities.
Best Practices for Compliance
To ensure compliance with antitrust laws, businesses should:
Develop and implement effective compliance programs
Conduct regular antitrust training for employees
Monitor market activities and report suspicious behavior
Cooperate with regulatory authorities during investigations
By following these best practices, businesses can reduce the risk of non-compliance and maintain a competitive edge in the market.
References
FAQ
Q: What are antitrust laws?
A: Antitrust laws are regulations designed to promote fair competition and prevent monopolies.
Q: What are the consequences of non-compliance with antitrust laws?
A: Non-compliance can result in fines, imprisonment, reputational damage, and loss of business.
Q: How can businesses ensure compliance with antitrust laws?
A: Businesses can develop and implement effective compliance programs, conduct regular antitrust training, monitor market activities, and cooperate with regulatory authorities.
| 2025-06-24T00:00:00 |
https://www.numberanalytics.com/blog/ultimate-guide-criminal-antitrust-laws-white-collar-crime
|
[
{
"date": "2025/06/24",
"position": 22,
"query": "market concentration and monopolies white collar workers"
},
{
"date": "2025/06/24",
"position": 21,
"query": "market concentration and monopolies white collar workers"
},
{
"date": "2025/06/24",
"position": 21,
"query": "market concentration and monopolies white collar workers"
},
{
"date": "2025/06/24",
"position": 22,
"query": "market concentration and monopolies white collar workers"
}
] |
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|
California Healthcare Minimum Wage Increase Effective July 1, 2025
|
Reminder: California Healthcare Minimum Wage Increase Effective July 1, 2025
|
https://www.californiaworkplacelawblog.com
|
[
"Jonathan A. Siegel",
"Allen F. Acosta",
"June",
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"Class",
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While several categories of healthcare employees will receive a minimum wage increase in July 2025. ... Focused on employment and labor law since ...
|
Employers in the healthcare industry in California are subject to a separate minimum wage from other employers.
Effective July 1, 2025, certain healthcare facilities will see an increase in their minimum wage rates. The following is a summary of the increases based on the type of employer.
Type of Healthcare Employer Current Rate Increased Rate Hospitals or Integrated Health Systems with 10,000 or more full-time employees, including skilled nursing facilities operated by these employers $23 $24 Dialysis Clinics $23 $24 Covered Health Care Facilities run by large counties with more than five million people as of January 1, 2023 $23 $24 Hospitals with 90% or more of their patients paid for by Medicare or Medi-Cal $18 $18.63 Independent Hospitals with 75% or more of their patients paid for by Medicare or Medi-Cal $18 $18.63 Rural Independent Covered Health Care Facilities $18 $18.63 Covered Health Care Facilities run by small counties with fewer than 250,000 people $18 $18.63
While several categories of healthcare employees will receive a minimum wage increase in July 2025. The following categories of healthcare employers will not have a minimum wage increase until July 2026:
Intermittent clinics, community clinics, rural health clinics, or urgent care clinics associated with community or rural health clinics
Covered Health Care Facilities run by Medium Sized Counties (250,000 to five million people as of 1/1/23)
Skilled Nursing facilities not owned, operated, or controlled by a hospital, integrated health care delivery system, or health care system
All other covered health care facilities not listed in the other categories and not run by Counties
Who is Covered?
The definition of “health care employee” is broad, encompassing a wide range of roles within healthcare facilities. This includes employees who provide patient care, health care services, or services supporting the provision of health care. Examples of covered roles include:
Nurses
Physicians
Caregivers
Medical residents, interns, or fellows
Patient care technicians
Janitors
Housekeeping staff
Groundskeepers
Guards
Clerical workers
Non-managerial administrative workers
Food service workers
Gift shop workers
Technical and ancillary services workers
Medical coding and billing personnel
Schedulers
Call center and warehouse workers
Laundry workers.
If you have questions about the healthcare minimum wage or related issues, contact a Jackson Lewis attorney to discuss.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.californiaworkplacelawblog.com/?p=5776
|
[
{
"date": "2025/06/24",
"position": 66,
"query": "labor regulation healthcare workers"
}
] |
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] |
Impact of AI on employee wellbeing, according to science
|
Impact of AI on employee wellbeing, according to science
|
https://www.hcamag.com
|
[
"Dexter Tilo"
] |
Artificial intelligence (AI) in workplaces has no significant negative effect on employee wellbeing, according to a new study.
|
Artificial intelligence (AI) in workplaces has no significant negative effect on employee wellbeing, according to a new study.
Researchers recently undertook a study on how workers in AI-exposed occupations have fared in contrast to workers in less-exposed roles.
"So far, we find little evidence that AI adoption has undermined workers' well-being on average," said Luca Stella of the University of Milan and the Berlin School of Economics, one of the researchers, in a statement.
| 2025-06-24T00:00:00 |
https://www.hcamag.com/us/specialization/employee-engagement/impact-of-ai-on-employee-wellbeing-according-to-science/540345
|
[
{
"date": "2025/06/24",
"position": 19,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/24",
"position": 24,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/24",
"position": 22,
"query": "artificial intelligence worker well-being"
},
{
"date": "2025/06/24",
"position": 5,
"query": "artificial intelligence worker well-being"
}
] |
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|
Tax Crimes in White Collar Crime - Number Analytics
|
Tax Crimes in White Collar Crime
|
https://www.numberanalytics.com
|
[
"Sarah Lee"
] |
Tax crimes can also result in significant reputational damage, affecting an individual's or business's ability to operate effectively in the ...
|
Understanding the complexities and consequences of tax-related offenses
Tax crimes are a significant component of white-collar crime, encompassing a broad range of illicit activities that involve the manipulation of financial information and tax laws. These crimes can be committed by individuals or businesses and often result in substantial financial losses for governments, as well as severe penalties for those found guilty. This article provides an in-depth examination of tax crimes, including their types, consequences, and defense strategies.
Types of Tax Crimes
Tax crimes can take many forms, but they generally involve the intentional evasion or avoidance of tax liabilities. The most common types of tax crimes include:
Tax Evasion and Avoidance Schemes
Tax evasion involves the use of illegal means to avoid paying taxes owed to the government. This can include underreporting income, overstating deductions, or failing to file tax returns altogether. Tax avoidance schemes, on the other hand, involve the use of legal means to minimize tax liabilities, but can sometimes cross the line into illegality if they involve aggressive or abusive tax planning.
Some common examples of tax evasion and avoidance schemes include:
Using offshore accounts or tax havens to conceal income or assets
Claiming false or inflated deductions for business expenses or charitable donations
Failing to report income or gains from investments or business activities
Engaging in complex financial transactions or structures designed to obscure income or assets
False Tax Returns and Fraudulent Claims
Filing false tax returns or making fraudulent claims is another common type of tax crime. This can involve:
Claiming false or inflated income or deductions
Failing to report or disclose required information
Misrepresenting tax credits or other benefits
Using false or stolen identities to file tax returns or claim refunds
Money Laundering Through Tax Havens
Money laundering through tax havens is a sophisticated form of tax crime that involves the use of offshore accounts or entities to conceal or disguise the source of funds. This can involve:
Using shell companies or other entities to hide income or assets
Transferring funds through multiple jurisdictions to obscure their origin
Claiming false or inflated expenses or losses to justify the movement of funds
The following flowchart illustrates the process of money laundering through tax havens:
flowchart LR A["Legitimate Income"] --> B["Offshore Account"] B --> C["Shell Company"] C --> D["Layering Transactions"] D --> E["Repatriation of Funds"] E --> F["Laundered Money"]
Consequences of Tax Crimes
The consequences of tax crimes can be severe and far-reaching, affecting not only the individuals or businesses involved but also the broader economy. Some of the most significant consequences include:
Financial Penalties and Fines
Tax authorities have the power to impose significant financial penalties and fines on individuals and businesses found guilty of tax crimes. These penalties can be substantial, often amounting to a significant percentage of the tax owed or even exceeding the amount of tax due.
For example, in the United States, the IRS can impose a penalty of up to 75% of the tax owed for cases involving fraud or willful neglect[^1]. In addition to these penalties, tax authorities may also charge interest on the outstanding tax liability, further increasing the financial burden on the taxpayer.
Imprisonment and Criminal Records
In severe cases, tax crimes can result in imprisonment or other forms of custodial sentences. This is particularly true for cases involving large-scale tax evasion or sophisticated tax avoidance schemes. A criminal record can have long-lasting consequences, affecting an individual's or business's reputation and future prospects.
Reputation Damage and Loss of Business Licenses
Tax crimes can also result in significant reputational damage, affecting an individual's or business's ability to operate effectively in the marketplace. In some cases, tax authorities may revoke or suspend business licenses, further exacerbating the financial and reputational consequences of a tax crime.
The following table summarizes the potential consequences of tax crimes:
Consequence Description Financial Penalties Significant fines and penalties imposed by tax authorities Imprisonment Custodial sentences for severe cases of tax evasion or avoidance Reputation Damage Loss of reputation and credibility in the marketplace Loss of Business Licenses Revocation or suspension of business licenses
Defending Against Tax Crime Allegations
Defending against tax crime allegations requires a comprehensive understanding of tax laws and regulations, as well as the procedures used by tax authorities to investigate and prosecute tax crimes. Some key strategies for defending against tax crime allegations include:
Understanding Tax Authority Investigations
Tax authorities typically conduct investigations into suspected tax crimes using a range of techniques, including audits, interviews, and document requests. Understanding the procedures used by tax authorities is critical to defending against tax crime allegations.
Strategies for Cooperation and Disclosure
Cooperating with tax authorities and making voluntary disclosures can be an effective way to mitigate the consequences of a tax crime. This can involve:
Making a voluntary disclosure of previously unreported income or tax liabilities
Cooperating with tax authorities during an investigation or audit
Implementing corrective actions to address any compliance issues or weaknesses
Role of Tax Lawyers in Defense and Negotiation
Tax lawyers play a critical role in defending against tax crime allegations, providing expert advice and representation throughout the investigation and prosecution process. Some key roles of tax lawyers include:
Advising on the legal and procedural aspects of tax investigations and prosecutions
Negotiating with tax authorities to achieve a favorable outcome
Representing taxpayers in court or other proceedings
The following mind map illustrates the key elements of defending against tax crime allegations:
mindmap root((Defense Strategies)) Understanding Tax Authority Investigations Procedures and Techniques Rights and Obligations Cooperation and Disclosure Voluntary Disclosure Corrective Actions Role of Tax Lawyers Expert Advice Representation and Negotiation
In conclusion, tax crimes are a serious and complex area of white-collar crime, with significant consequences for individuals and businesses found guilty. Understanding the types, consequences, and defense strategies for tax crimes is essential for mitigating the risks associated with these crimes.
Mathematical Representation of Tax Evasion
The economic impact of tax evasion can be modeled using the following equation:
\[ Tax Gap = Tax Liability - Tax Paid \]
Where:
Tax Gap represents the difference between the tax liability and the tax paid
Tax Liability represents the total amount of tax owed
Tax Paid represents the amount of tax actually paid
This equation highlights the importance of accurate tax reporting and compliance in minimizing the tax gap.
References
FAQ
Q: What is the difference between tax evasion and tax avoidance?
A: Tax evasion involves the use of illegal means to avoid paying taxes owed, while tax avoidance involves the use of legal means to minimize tax liabilities.
Q: What are the consequences of being found guilty of a tax crime?
A: The consequences can include financial penalties, imprisonment, reputation damage, and loss of business licenses.
Q: How can I defend against tax crime allegations?
A: Defending against tax crime allegations requires a comprehensive understanding of tax laws and regulations, as well as the procedures used by tax authorities. Strategies for cooperation and disclosure, as well as the role of tax lawyers, are critical to achieving a favorable outcome.
| 2025-06-24T00:00:00 |
https://www.numberanalytics.com/blog/ultimate-guide-to-tax-crimes
|
[
{
"date": "2025/06/24",
"position": 76,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 79,
"query": "corporate taxes white collar workers"
},
{
"date": "2025/06/24",
"position": 78,
"query": "corporate taxes white collar workers"
}
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|
Will Trump's war on Iran trigger inflation, a stock market crash and ...
|
Will Trump’s war on Iran trigger inflation, a stock market crash and recession?
|
https://www.taxresearch.org.uk
|
[
"Richard Murphy",
"Posted On"
] |
Stock markets are ignoring risk. And the Bank of England may react in all the wrong ways. This could spiral into inflation, recession, and even ...
|
The US bombing of Iran could have massive consequences. Oil prices are rising. Stock markets are ignoring risk. And the Bank of England may react in all the wrong ways. This could spiral into inflation, recession, and even a political crisis.
This is the audio version:
This is the transcript:
Trump attacked Iran on Saturday, and the consequences are going to be enormous.
On Sunday, the Iranian parliament authorised the closure of the Straits of Hormuz. The Straits of Hormuz are the stretch of water between Iran and the United Arab Emirates. They are only 30 miles wide but 20 % of all the world's oil and gas flows through that narrow passage.
Oil from Iraq, oil from Saudi Arabia, and from Kuwait, and Oman, and the UAE itself, all flows through there, plus some of Iran's oil as well, and they're threatening to shut that passage.
The reality is that if the Straits are shut, then Iran can effectively block all traffic through them. Oil tankers are slow, hard to manoeuvre, and very big, and that makes them incredibly hard to defend. So any Iranian missile could take one out. No one is going to want to take a ship through there.
The consequence is obvious. Alternative routes are going to be necessary, but they are limited and costly, and for the time being, at least, global energy markets are going to react to all of this by increasing prices.
We've already seen on the morning that we're recording this, that oil prices have risen by over $5 a barrel.
They were $75 a barrel, and have been on average for around three years, since things settled down after the Ukraine crisis. But Goldman Sachs is talking about them going above $100 a barrel now, and I think that's very likely as well.
We last saw this level very shortly after Russia invaded Ukraine, and we know what happened then.
There was, in practice, no real oil shortage at that time. There was just a disruption in the flow, and that may well be true now, by the way. There isn't necessarily going to be an oil shortage because of Iran's move, but there will undoubtedly be short-term disruption to markets. That's inevitable because it will take time for the world's oil supplies to find a new way to be delivered, and the result will be quite simple and quite straightforward.
The oil marketeers, those are the people who trade oil, will force the price up. And there will be profiteering on an enormous scale, which will benefit those marketeers to a great degree, most of whom are banks, by the way. And as a result, we are going to get inflation almost invariably. That will be exactly similar to what happened in 2022, when we had the same situation with regards to the oil crisis created by the Ukraine War.
And this will be an inflation of a similar type as well. This will be an imported inflation. This is not domestic demand driven. It's an external supply shock, and the consequence is that UK monetary policy, run by the Bank of England, has no answer to this type of inflation.
In fact, increasing interest rates now would be completely mistaken as a policy adjustment. Rate rises will not fix imported inflation any more than they did in 2022. Instead, they will double the hardship that results from this inflation.
First of all, people will have to deal with the fact that oil prices have gone up, and as a consequence, the price of so many other products will rise as well because oil is embedded in so many things that we buy, from food onwards.
And then on top of that, interest rates will be increased as well, even though there will be no reason to do so. The reason to increase the interest rates is to reduce demand, but the price increase on the products which oil will impact will be sufficient to do that. And yet I am quite sure that the Bank of England will be planning, as it did in 2022, to increase interest rates again.
This is going to be disastrous for the UK economy.
The UK economy is already fragile. Higher energy costs will simply kill demand.
The risk of a downturn now is really serious, and this will have enormous knock-on effects, not only for households with borrowing, and a large number have, but also for employment, and for companies who are marginal as to their profitability, and so much more.
What that means is that Rachel Reeves' current economic plans are now completely obsolete. Almost certainly, we are now talking about living in a wartime economy, and wartime economies are nothing like peacetime economies. And even if we are not at war with Iran, the consequences of that war with Iran will be felt here.
Right now, we don't need the sort of cuts that are already being planned by Labour. Yes, they're talking about increasing defence spending, and yes, I know they're talking about increasing spending on the NHS, but they are cutting almost everything else. And what we need at this moment is not a round of cuts, but we do instead need to have an immediate reaction to make sure that the economy can keep functioning.
How can we do this? We could temporarily cut the rates of tax on oil. That is entirely possible.
We could do as Alistair Darling did in 2009, and cut VAT, precisely to give the economy the sort of stimulus it needs to prevent it going into recession after an external economic shock, which of course happened in the 2008 financial crisis.
We could look at all of those issues, but there's another issue to consider as well, before deciding what to do. Stock markets, including the UK's FTSE 100, are at record highs around the world; literally at the highest levels they have ever been. And it's very interesting to note that Gillian Tett, who is one of the best economists working for the Financial Times, good as an economist because she is, in fact, a social anthropologist of origin, has described what she calls a social silence in financial markets.
She did this last Friday, and what she said is that no one was really talking about the real risks that existed in the world in financial markets, even last week. But behind the scenes, there's been growing fear about what might happen. And what she said was, and I entirely agree with this because I've said it myself on my own blog, geopolitical conflict plus an oil spike could create panic. I believe that's now the case.
I also believe, and it's very obvious to me, that this is the case, that stock markets are seriously overvalued at present.
There could be a tipping point. The sort of tipping point that Gillian Tett was describing, the point where suddenly everyone realises that this overvaluation exists, and what will we get? We'll get a crash.
There will be a stock market crash if this conflict continues for very long. And in particular, if the Iranians do, as they could, block the Straits of Hormuz. So, on top of inflation, we could have a stock market crash. The combination is horribly unattractive.
Just to add to that, there could be a serious backfire against Trump in the USA as a consequence of what he has done. Trump promised his own MAGA - Make America Great Again - supporters that he would not involve the USA in foreign wars, but he's just gone and done that.
He has done it more directly than any of his immediate predecessors as US President, and he's done it against a country that is much stronger than Iraq. It's stronger because it has a much deeper history. It has natural borders. It has a unified population, even if they don't much like their leadership, I suspect. And it's strongly aligned with China, which is giving it an economic strength which other countries in the Middle East really are not enjoying. As a result, some of Trump's supporters in the USA may now turn against him. And they may also do so if markets collapse.
So, Trump isn't guaranteed success as a consequence of what he's done. In fact, some Republicans are already talking about this being an impeachment issue, in other words, seeing whether the time has come to throw him out of office.
We are, therefore, in a state of confusion politically, and we're in a state of confusion economically.
It looks highly likely to me that inflation is inevitable.
We know that the Bank of England will be inclined to increase interest rates if that is the case, and that would be an absolute disaster.
We know that Rachel Reeve's reaction to every economic situation is to lock down and say that the books must balance, but at this moment, that too would be a disaster.
We need to reflate the economy and not close it down, and we need to protect people from profiteers, and the only way to do that is to change tax and reduce VAT or oil tax and to keep interest rates low.
Unless we do that, the UK is facing a full-blown recession. But will Reeves listen, and will the world, and will the lessons of the past be learned?
I don't know, but I seriously doubt it, and that really worries me.
Taking further action
If you want to write a letter to your MP on the issues raised in this blog post, there is a ChatGPT prompt to assist you in doing so, with full instructions, here.
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.taxresearch.org.uk/Blog/2025/06/24/will-trumps-war-on-iran-trigger-inflation-a-sotock-market-crash-and-recession/
|
[
{
"date": "2025/06/24",
"position": 91,
"query": "financial crisis stock exchange inflation rate"
}
] |
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Workplace
|
Workplace -
|
https://finhealthnetwork.org
|
[] |
Financial stress of employees can have negative effects on work performance, retention, and worker satisfaction, therefore it is essential for employers to ...
|
Industry
Workers across the country at all income levels are struggling with their finances – and increasingly looking to their employers for solutions. The Financial Health Network helps employers make informed decisions about the most effective financial health solutions for their teams.
How well are you meeting your employees’ financial health needs? Our FinHealth Works assessment will help you find out.
| 2025-06-24T00:00:00 |
https://finhealthnetwork.org/workplace/
|
[
{
"date": "2025/06/24",
"position": 62,
"query": "economic recession worker well-being"
}
] |
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] |
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What is Employee Wellbeing? 11 Tips to Improve
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What is Employee Wellbeing? 11 Tips to Improve- Oak Engage
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https://www.oak.com
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[] |
However, Oak's Mental Health in the Workplace Report found that 58% of us have suffered mental or physical stress over the last 2 years because of work.
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Employee wellbeing should be at the forefront of what an organisation does. Workers are no longer willing to stay in jobs where they feel like their health and happiness is not a priority, and rightly so. Corporate wellbeing should be a cornerstone of any organisation.
However, Oak's Mental Health in the Workplace Report found that 58% of us have suffered mental or physical stress over the last 2 years because of work. Companies must do better to ensure that their employees feel valued, and that their wellbeing is at the top of their priority.
What is employee wellbeing?
Employee wellbeing being is essentially how an employee feels about various aspects of their life – their home life, their health, their relationships with others, their job and other factors. It’s about how their role impacts these things.
When talking about employee wellbeing, think about it as the way employees’ duties, expectations, stress levels and working environments affect their overall health and happiness.
What is employee wellbeing in the workplace?
Employee wellbeing relates to all aspects of working life, including the environment employees work in, the climate in the workplace and how a workforce feels about their day to day work. Well-being is a key factor determining an organisation's long-term success and effectiveness.
According to the CIPD’s health and wellbeing report, HR managers identified within a survey that only 40% of UK businesses have a standalone employee wellbeing strategy. What’s more, mental health is responsible for 56% of long-term unplanned absences, making it the most common cause of long-term absence.
What is the difference between employee wellbeing and employee engagement?
Employee wellbeing covers all types of wellness, such as:
Physical health
Emotional health
Psychological Wellbeing
Social relationships
Financial stability
Essentially, employee wellbeing looks at employee experience at work from a holistic view and asks, “do they have what they need to do their best work?”. This is important for reducing work related stress or instituting incentives for healthy living.
Employee Engagement on the other hand, is the emotional commitment the employee has to the organisation and its goals. It has been proven to:
Reduce staff turnover
Improve productivity and efficiency
Increase employee retention
Deliver higher profits
Boost business connectivity and performance
Reduction in absenteeism
Why is employee wellbeing important?
Focusing on employee wellbeing not only creates happier workers, it has a significant impact on the bottom line. Corporate wellbeing should always have its roots in the interests of your employees but it's important to consider the cost saving implications it can have on retention and more.
The benefits of making wellbeing a top priority in the workplace are:
Improved team focus
Reduce of stress
Increased job satisfaction
Positivity among employees
Improved general wellbeing
Remember that employees are the biggest asset you have, so ensure that wellbeing initiatives of focused around YOUR people and their needs.
Domains of employee wellbeing
CIPD have identified 7 key domains of employee wellbeing that you should consider and start implementing before putting together a strategy.
1. Health
Physical Health - Health checks, wellbeing benefits, health insurance protection, managing disability, occupational health support, employee assistance programmes.
Mental Health - Stress management, conflict resolution training, training line managers to have difficult conversations, risk assessments.
2. Good work
Working Environment - Ergonomically designed working areas, open and inclusive culture.
Good Management - Effective people management policies, training for line managers, sickness absence management.
Work Demands - Job roles, job quality, workload, working hours, job satisfaction, work-life balance.
3. Values/principles
Leadership - Values-based leadership, clear mission and objectives, building trust with employees.
Ethical Standards - Dignity at work, corporate social responsibility.
Diversity - Diversity and inclusion, valuing difference, cultural engagement.
4. Collective/social
Employee Voice - Communication, involvement in decision making.
Positive Relationships - Management style, teamwork, respect.
5. Personal growth
Career Development - Performance management, mentoring, succession planning.
Emotional - Positive relationships, personal resilience training, financial wellbeing.
Creativity - Open and collaborative culture, innovation workshops.
6. Good lifestyle choices
Physical Activities - Walking/running clubs, lunchtime yoga, charity walks.
Healthy Eating - Recipe Clubs etc
7. Financial wellbeing
Fair Pay and Benefits Policies - Pay rates above the statutory national minimum wage, flexible benefits scheme.
Retirement Planning - Pre-retirement courses for people approaching retirement.
Recommended Reading 📖: How to Beat Office Anxiety
How to improve employee wellbeing
We understand that it can be tricky to start building an employee wellbeing strategy, so we’ve put together 11 top tips on how you can start improving employee wellbeing within your organisation today.
Tip 1: Communicate effectively
Poor communication in the workplace will inevitably lead to unmotivated staff that may begin to question their own confidence in their abilities and organisation.
Utilise Pulse Surveys with analytics to measure sentiment in the workforce . Some people may want personalised support, but by asking the following types of questions you can understand what kind of employee wellbeing strategy you may wish to offer your employees.
Survey questions may include:
Are you in a comfortable working environment?
Is your workload manageable?
Are you content with where you are in our career?
Do you have a good work/life balance?
Is there anything we can do to help you?
Keep your survey results anonymous. This way, your employees will feel like they have a safe place at work without worrying about social or professional repercussions.
Tip 2: Give recognition
Employee recognition in the workplace has to be a vital part of a company's culture. In today’s work environment, the companies with the most satisfied and engaged employees are the ones that have the best training programmes and well-skilled staff.
Oak’s employee recognition feature helps your company boost morale and let your employees know that you care by celebrating milestones like birthdays and work anniversaries. It has an inbuilt timeline, meaning your employees can comment on achievements at any time. This creates a positive working environment, which will in turn, boost morale and improve employee wellbeing.
Tip 3: Introduce flexible working
Consider offering flexible working so that your employees can fit their job around their needs. This could include flexible start and finish times or encouraging employees to take more frequent breaks.
By noticing the needs of your team, it will widely improve employee wellbeing across the company. Making sure your employees are happy and healthy should be one of your top priorities - if you care for your team, they will care for you and your company which will lead to higher employee retention.
Tip 4: Encourage personal development
Creating a culture of personal growth means ongoing training and development. Personal development is something that should be encouraged to strongly improve employee wellbeing. Personal development is not only about improving life at work, but personal life too.
Personal development starts from within, but it should be encouraged by employers, management and HR professionals to reinforce its positive effects. Those in HR may, in fact, be in the best position to set an example, inspire personal growth, and offer support to employees in achieving that growth.
Tip 5: Boost team relationships
In most cases, the key to a happy team comes down to whether they actually get along. To encourage good working relationships, you should implement more team building activities, informal meetings or lunches/evenings out to bring your team together.
Not only will this support a more fun and sociable atmosphere, it’ll also mean everyone is able to get their ideas and opinions heard. After all, there may be some members of the team that wouldn’t usually get the opportunity to properly interact beyond some brief small talk in the lift.
Giving employees a voice within your workplace will be key to boosting overall morale.
Tip 6: Encourage social interaction
Create social spaces where people can share their experiences with other like-minded members, therefore, increasing a sense of belonging.
Social tools used in the right way can unlock connections that used to be impossible and with every new connection comes with a new opportunity for social interaction.
Social tools used in the right way can unlock connections that used to be impossible and with every new connection comes with a new opportunity for social interaction.
Tip 7: Promote self-care
A Korn Ferry study reveals that 73% of American professionals were feeling burned-out and the top reasons cited were no separation between work and home and unmanageable workloads.
Most of us have no problem prioritising an extra work task for our manager or someone else even after having worked a long day, but the idea of prioritising ourselves and our health is not something many of us are accustomed to doing.
The flip side to this is that a lack of work-life balance can cause burnout and mental health issues. Oak Engage’s Mental Health in the Workplace Report found that 19% of employees who have suffered mental health did so as a result of burnout.
As a business, you can start by creating areas within your digital workplace to offer self-help and provide suggestions for simple ways in which employees can focus time on wellbeing.
Tip 8: Introduce work perks
Keeping employees happy while they’re working can be tricky. So introducing work perks and benefits is the perfect way to ensure that morale is always kept high in the workplace. This could be anything from team events to paying for your employees’ gym membership or exercise class.
Here at Oak, we’ve introduced Oak Bank Holidays to make sure employees get the rest they deserve. Just like an actual bank holiday, we shut down the office for the day and relax.
Having that extra time off really boosts productivity among teams, enabling employees to do the best work they can do and ultimately creating further success for your company.
Tip 9: Encourage good lifestyle choices
By making sure your employees are aware of the dangers of sitting long periods of time, and educating them on how they can keep moving throughout the day, you are helping prevent illness and maintaining a happy and healthy workforce.
Create communities and improve your culture. Hubs bring like minded people together through virtual groups where they can collaborate, strengthen bonds and grow together.
Tip 10: Give regular performance reviews
A performance review is extremely beneficial to employee wellbeing. By conducting a performance appraisal, they’ll have an idea of how they’re getting on in their role, identify areas for improvement and conduct a self-evaluation. It’s also a chance for your employees to give you feedback; this could be feedback about the performance review or feedback about leadership in your organisation. They’re a two-way process that requires a lot of communication from both parties.
It’s also important to conduct regular performance appraisals for the peace of mind of your employees. Being left in the dark about anything is unsettling, but when you’re left unaware of how well you’re performing it can feel worrying.
Tip 11: Implement a company intranet
If you haven't already implemented a corporate intranet, this is your opportunity to find a software to suit your needs. Not only can your intranet be a central location for HR and wellbeing policies, they can also create connections even when physical interactions may not occur.
Wellbeing and remote or hybrid working
Working from home can have a serious impact on wellbeing. It can affect it in two ways:
Loneliness and Isolation
When separated from colleagues or a normal office/working environment, individuals can start to feel isolated and lonely.
Feelings of isolation can increase stress levels and bring a sense of disengagement to both an employee’s work and the company itself, both of which negatively affect emotional wellbeing.
Burnout
When working remotely, it can be easy for work to seep into an employee’s personal time. Remote employees can often work longer hours and feel that they have to contribute more because they aren’t in the office. This lack of work-life balance can lead to high stress levels, which ultimately turns to burnout if left unresolved.
You can support the wellbeing of your remote employees by:
Establishing boundaries between work and personal time
Set up regular one-to-one meetings
Encourage regular breaks
Set wellbeing goals
Check-in with your workforce
Now that you can put these 11 simple steps into practice, your company wellbeing strategy should start to be part of your workplace culture. It’s always important to identify the problems first before implementing a solution.
Oak Engage - supporting employee wellbeing worldwide
Oak Engage plays a pivotal role in promoting employee wellbeing within organisations. As a comprehensive employee engagement platform, Oak Engage is designed to foster a positive and supportive work environment, which directly impacts the overall wellbeing of employees.
One of the key ways Oak Engage contributes to employee wellbeing is by promoting a culture of recognition and appreciation. The platform allows team members to give and receive recognition for their hard work and contributions, fostering a sense of value and accomplishment. When employees feel appreciated, it boosts their morale and motivation, leading to increased job satisfaction and overall wellbeing.
Oak Engage facilitates open communication and feedback between employees and management. By encouraging employees to share their thoughts, concerns, and ideas through surveys or feedback channels, the platform empowers them to have a voice in shaping their work environment. This sense of agency and involvement in decision-making positively impacts employees' mental and emotional wellbeing, as they feel heard and supported by the organisation.
Furthermore, Oak Engage offers various tools and resources to support employee wellbeing initiatives. From wellness programs to mental health resources, the platform provides a centralised hub where employees can access information and support related to their physical and emotional health. This focus on employee wellbeing not only enhances their quality of life but also contributes to reduced stress and burnout levels, leading to a more engaged and resilient workforce.
In conclusion, Oak Engage plays a vital role in nurturing employee wellbeing through its focus on recognition, open communication, support resources, and social connections. By prioritising employee wellbeing, organisations using Oak Engage can create a thriving and healthy workforce, resulting in higher levels of engagement, productivity, and overall satisfaction.
To find out more about how Oak Engage can support employee wellbeing for your business, get in touch today.
| 2025-06-24T00:00:00 |
https://www.oak.com/blog/employee-wellbeing/
|
[
{
"date": "2025/06/24",
"position": 74,
"query": "economic recession worker well-being"
}
] |
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|
4 strategies to support employee well-being
|
4 strategies to support employee well-being
|
https://www.achievers.com
|
[
"Rebecca Mattina"
] |
Build a culture that supports stress management. · Provide mental health resources like counseling services. · Offer mindfulness programs to help employees stay ...
|
Employee well-being is key to any successful business, but let’s be honest — today’s work environment isn’t making it easy. With remote and hybrid models blurring the lines between personal and professional life, workplace burnout and isolation are on the rise. The good news? These challenges also bring opportunities to do things differently.
When employees feel that their company truly cares about their well-being, they’re 73% less likely to experience burnout. That’s a compelling reason to make a change.
So, why should you care? Because prioritizing employee well-being doesn’t just make people feel good. It’s what fuels productivity, strengthens your company’s resilience, and keeps your workforce engaged for the long haul.
4 strategies to improve employee well-being
Employee well-being is far too often used as a buzzword. In reality, it’s a real priority that impacts how your team shows up every day. According to a 2024 survey from Gallup, one in four CHROs have made well-being a top organizational priority this year.
Here’s how you can create a workplace where well-being is front and center:
1. Focus on employee recognition
Recognition isn’t a luxury; it’s the fuel that keeps the engine running. In fact, research from the 2024 State of Recognition Report found that 45% of employees who are recognized at least monthly report feeling highly engaged at work. That’s a powerful reminder of how impactful regular recognition can be.
Here’s how to make it work for your business:
Always-on recognition: Make it part of your culture. From leadership to peers, recognition should happen regularly — big or small.
Make it part of your culture. From leadership to peers, recognition should happen regularly — big or small. Points-based rewards: Let employees earn and share points, which can be redeemed for rewards they’ll love.
Let employees earn and share points, which can be redeemed for rewards they’ll love. Personalized rewards: Skip the generic “employee of the month” plaques. Let employees choose what they want from a custom rewards marketplace.
Skip the generic “employee of the month” plaques. Let employees choose what they want from a custom rewards marketplace. Instant recognition: Recognition shouldn’t wait for a special occasion. Make it personal, specific, and in real-time.
2. Encourage continuous feedback
You can’t improve what you don’t understand, and waiting for annual surveys to give you the full picture isn’t enough. Taking advantage of employee feedback tools keeps you in tune with your team’s needs, so you can act on insights before they become problems.
Use modern feedback tools: Say goodbye to long, tedious surveys. Use quick, easy tools like pulse surveys or AI-powered chatbots.
Say goodbye to long, tedious surveys. Use quick, easy tools like pulse surveys or AI-powered chatbots. Act quickly: Feedback is only useful if you can turn it into action fast.
Feedback is only useful if you can turn it into action fast. Anonymous feedback: Make it easy for employees to be honest, and ensure their input leads to meaningful change.
Make it easy for employees to be honest, and ensure their input leads to meaningful change. Celebrate what’s working: Don’t just focus on problems — celebrate the wins, too.
3. Give employees plenty of PTO — and encourage them to use it
Don’t think of PTO as a bonus. Think of it as an invaluable part of keeping your team feeling and performing at their best. The last thing you want is a team that feels like they’re running on empty, so give your employees the time they need to unplug and recharge.
Offer generous PTO: Give your team enough time to truly disconnect.
Give your team enough time to truly disconnect. Lead by example: Leadership should take time off too, setting the tone for the rest of the team.
Leadership should take time off too, setting the tone for the rest of the team. Make PTO a priority: Consider mandatory vacation days or fun challenges to encourage time off.
Consider mandatory vacation days or fun challenges to encourage time off. Normalize unplugging: Create a culture where taking breaks is seen as smart, not slacking.
4. Build a culture of belonging
When employees feel like they truly belong, they show up differently. How differently? The Belonging Blueprint Report from Achievers Workforce Institute (AWI) found that 48% of employees who feel like they belong are their most productive selves at work. Plus, 56% would recommend their workplace as a great place to work. That’s the difference belonging can make.
Embrace DEI: Make sure every employee feels seen, heard, and respected. Diversity, equity, and inclusion are what make your company strong.
Make sure every employee feels seen, heard, and respected. Diversity, equity, and inclusion are what make your company strong. Create spaces for connection: Use ERGs, mentorship, and affinity networks to help employees feel supported and connected.
Use ERGs, mentorship, and affinity networks to help employees feel supported and connected. Encourage psychological safety: Employees need to feel safe taking risks and sharing ideas without fear of judgment.
Employees need to feel safe taking risks and sharing ideas without fear of judgment. Celebrate differences: Embrace the diversity of your team—it sparks creativity and innovation.
Elements of employee well-being
1. Physical well-being
Employees need to feel good physically if they’re going to bring their best energy to work. Physical well-being impacts everything—from focus and productivity to mood and overall engagement. Supporting your team’s physical health means creating an environment where they have the resources to stay healthy, comfortable, and energized.
Here’s how to make that happen:
Offer wellness programs or gym memberships.
Offer healthy food options.
Create ergonomic workspaces to improve comfort.
Encourage regular breaks to avoid burnout.
2. Mental and emotional well-being
Mental health affects everything from decision-making to collaboration. Employees who feel mentally supported are more likely to stay engaged, contribute ideas, and be productive. But mental well-being requires more than just offering a quiet room for meditation.
Here’s how you can create an environment where mental health is a priority:
Build a culture that supports stress management.
Provide mental health resources like counseling services.
Offer mindfulness programs to help employees stay balanced.
End the stigma around mental health so employees can seek help when needed.
3. Social well-being
Work can be isolating if employees don’t feel connected. Strong relationships at work aren’t just a nice bonus; they’re essential for motivation and collaboration. A team that feels connected will always be more productive and engaged.
Here’s how to build those meaningful connections:
Encourage collaboration and team-based goals.
Plan team-building activities to strengthen bonds.
Set up regular social events to support connections, whether remote or in person.
4. Financial well-being
Financial stress isn’t just a personal issue — it can show up at work, too. When employees are financially secure, they’re more focused, engaged, and less distracted by money worries. Offering financial well-being support is just as good for your employees as it is for your business.
Here’s how you can help employees feel secure:
Offer competitive pay and benefits.
Provide financial resources on budgeting and saving.
Invest in professional development to give employees confidence in their future.
5. Career well-being
When employees feel like their work is going somewhere, it makes a world of difference in their motivation and engagement. Need proof? Achievers’ 2024 Engagement and Retention Report found that 48% of employees whose company prioritized career equity saw themselves having a long career in their current workplace. Goodbye turnover. Hello, long-term success.
Here’s how to invest in your employees’ careers:
Provide clear career paths and opportunities for growth.
Offer training programs to help employees develop new skills.
Encourage mentorship to help employees build confidence and experience.
Why is employee well-being important?
Employee well-being is the heart of a successful company. When employees feel supported in their health, growth, and work-life balance, they show up as their best selves — ready to take on the world.
Here’s why it’s so important:
Productivity: Employees who feel supported are more engaged, focused, and productive.
Employees who feel supported are more engaged, focused, and productive. Absenteeism and costs: Prioritizing well-being means fewer sick days and reduced burnout, saving on costs.
Prioritizing well-being means fewer sick days and reduced burnout, saving on costs. Retention: When employees feel cared for, they’re more likely to stay long-term, reducing turnover.
When employees feel cared for, they’re more likely to stay long-term, reducing turnover. Culture: A focus on well-being strengthens your workplace culture, making it more supportive and collaborative.
A focus on well-being strengthens your workplace culture, making it more supportive and collaborative. Reputation: Companies that invest in well-being become employers of choice, attracting top talent and building trust.
How to measure employee well-being
Measuring employee well-being is about understanding how your team is really doing, inside and out. It means going beyond the numbers and listening to the people behind them. Here’s how you can get a clear picture:
Look at absenteeism, healthcare use, and injuries: These stats give you a solid sense of physical health and safety in the workplace. If something’s off here, it’s time to pay attention.
These stats give you a solid sense of physical health and safety in the workplace. If something’s off here, it’s time to pay attention. Keep an eye on productivity and turnover: High turnover or dipping productivity? These are red flags that can tell you something’s impacting employee well-being.
High turnover or dipping productivity? These are red flags that can tell you something’s impacting employee well-being. Pay attention to employee sentiment: Surveys, one-on-ones, and team discussions are invaluable for understanding how your people feel. Are they engaged? Do they feel supported? It’s the why behind the numbers that truly matters.
Make employee well-being the center of your culture
Improving employee well-being isn’t something you can just tick off a to-do list. It’s about creating a workplace where employees feel supported, valued, and ready to bring their best selves every day. Sure, recognition, feedback, and growth are nice perks, but they’re also the foundation of a culture where people feel motivated and genuinely connected.
Achievers makes this a reality by seamlessly weaving employee recognition and feedback into the everyday flow of work. We help organizations create environments where employees feel seen, heard, and appreciated. The result? Teams that aren’t just showing up — they’re fully engaged and invested in what they do.
When well-being is built into your company’s culture, it’s not just your people who win. Your business does, too.
Employee well-being FAQs What is the meaning of employee well-being? Employee well-being is about creating a workplace where your team feels supported, valued, and able to do their best work. It’s not just about having a comfortable chair or a few wellness perks. It’s a mix of a safe work environment, access to healthcare, a healthy work-life balance, and a culture that makes people feel like they belong. When you pay attention to these things, you’re laying the foundation for a thriving, engaged workforce. What is the importance of employee well-being? When employees are healthy—physically and mentally—they perform better, stay longer, and are excited to talk about how great your company is. It’s simple: happy, healthy people get things done, and they do it with energy and enthusiasm. Plus, investing in well-being means less absenteeism, higher performance, and a team that’s ready to handle whatever comes next. What are the 5 Cs of well-being? The 5 Cs of well-being are Contentment, Calmness, Compassion, Courage, and Clarity. These qualities are key to supporting emotional balance and mental clarity, according to insights from the University of Michigan. Here’s what each one means: Contentment: Finding peace in the present moment, rather than always looking for more.
Finding peace in the present moment, rather than always looking for more. Calmness: Staying grounded and clear-headed, even in stressful situations.
Staying grounded and clear-headed, even in stressful situations. Compassion: Being kind to yourself and others, building connections, and showing empathy.
Being kind to yourself and others, building connections, and showing empathy. Courage: Facing fears and challenges with confidence and resilience.
Facing fears and challenges with confidence and resilience. Clarity: Developing a focused mindset that helps you make decisions with purpose. What are the challenges to employee well-being? Employee well-being faces a few key challenges in the modern work environment: Always-on culture: With constant connectivity through smartphones and digital tools, it’s tough to fully disconnect, leading to stress and burnout at work.
With constant connectivity through smartphones and digital tools, it’s tough to fully disconnect, leading to stress and burnout at work. Remote work stress: Remote work brings flexibility but can also create feelings of isolation and blur the boundaries between work and personal life.
Remote work brings flexibility but can also create feelings of isolation and blur the boundaries between work and personal life. Increased job demands: Tight deadlines, heavier workloads, and constant change can leave employees feeling anxious and overwhelmed. Addressing these challenges is essential to building a work culture that genuinely supports well-being. How do you maintain employee well-being? Maintaining employee well-being is about creating an environment where people feel supported and can perform at their best. To keep it going: Promote work-life balance with flexible schedules and regular time off.
Support mental health with resources and a culture of openness.
Recognize and reward contributions to keep employees motivated.
Foster connections through team building and collaboration.
Offer growth opportunities with training and career development. By prioritizing these areas, you’ll help employees stay engaged, healthy, and productive.
| 2025-06-24T00:00:00 |
https://www.achievers.com/blog/employee-wellbeing/
|
[
{
"date": "2025/06/24",
"position": 89,
"query": "economic recession worker well-being"
}
] |
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] |
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Commercial Real Estate and a Potential Recession
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Commercial Real Estate and a Potential Recession
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https://www.jpmorgan.com
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[] |
“Should an economic downturn occur, some companies may pull back on expansion, reducing the demand for space,” Stuart said. “Depending on the industry, ...
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A recession’s depth is key. Most anticipate an economic downturn would be mild. “That doesn’t mean a severe recession isn’t possible,” LaSalvia said. “There’s a case in which there’s little progress made on tariffs, the stock market falls further and the U.S. loses its spot as the global bank. In this scenario, Treasurys are no longer considered a safe haven, causing long-term interest rates to rise at the same time economic activity slows.”
“A lot depends on how quickly the markets can get clarity around trade agreements, and the extent to which inflation and supply chains are disrupted,” Chambless said.
The impact of a recession on commercial real estate
“It’s possible all sectors of commercial real estate could experience some softer demand if there’s a recession,” Chambless said. “But multifamily and industrial would likely feel less of an impact given cyclical tailwinds, including still-challenged housing affordability and lack of supply.”
Different properties have different considerations should the U.S. enter a recession.
Multifamily properties
Many would-be single-family homeowners are opting to rent, driving up demand for multifamily properties. The inventory of unsold existing homes jumped 9% from the previous month to 1.45 million at the end of April, or the equivalent of 4.4 months’ supply at the current monthly sales pace, according to the National Association of Realtors.
“Multifamily is resilient from a cash flow and investment perspective, particularly when you take the long-term view,” said Kurt Stuart, Co-Head of Commercial Term Lending at Chase. "Investors that have local expertise are likely to see buying opportunities."
“The greatest challenges are the unknowns,” he said. That includes the size of local government budgets, energy and renovation costs, and immigration policy impacts on the labor force.
Affordable housing
“Workforce and affordable housing are entering this period without the large supply-side problems of their higher-end counterparts. Vacancy rates for these subtypes are hovering around 3%, with some markets at full occupancy,” LaSalvia said. “In a recession, household formation and wage growth will likely suffer, causing some demand stress.”
“Economic downturns tend to not only increase the need for affordable housing, but bring a renewed focus to increasing the supply,” said Vince Toye, Head of Community Development Banking and Agency Lending for J.P. Morgan.
Nonetheless, the possibility of a recession raises concerns.
| 2025-06-24T00:00:00 |
https://www.jpmorgan.com/insights/real-estate/commercial-real-estate/commercial-real-estate-and-a-potential-recession
|
[
{
"date": "2025/06/24",
"position": 41,
"query": "economic recession equity in the workplace"
}
] |
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|
Claiming a historic gain in blue-collar wage growth, Trump ...
|
Hiltzik: Trump sets a new standard for cherry-picking
|
https://www.latimes.com
|
[
"Business Columnist",
"Pulitzer Prize-Winning Journalist Michael Hiltzik Has Written For The Los Angeles Times For More Than Years. His Business Column Appears In Print Every Sunday",
"Wednesday",
"Occasionally On Other Days. Hiltzik",
"Colleague Chuck Philips Shared The Pulitzer Prize For Articles Exposing Corruption In The Entertainment Industry. Follow Him On Bluesky At"
] |
The Trump administration, via Treasury Secretary Scott Bessent, asserts that real hourly wages for blue-collar workers grew 1.7% in the first five months of ...
|
Treasury Secretary Scott Bessent has been bragging about “blue-collar” wage gains during Trump’s term, but he isn’t telling the whole story.
You may have seen an eye-opening statement recently from the Trump White House crowing about its success in pushing up “blue-collar wage growth.”
The statement was headlined: “Blue-Collar Wage Growth Sees Largest Increase in Nearly 60 Years Under Trump.” It purported to track real wages for hourly workers during Trump’s first five months in office, and compared that figure to the first five months in office of Trump’s predecessors.
“We’re just getting started with pro-growth, pro-prosperity policies that finally put America First,” the White House boasted.
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A really strong economy was handed off to the Trump administration, and so far, it has mostly held. — Josh Bivens, Economic Policy Institute
There are enough questions about how the White House arrived at this conclusion, and why anyone should trust it, to mark it as a sterling demonstration of how to employ cherry-picking to lie with statistics.
In conjunction with the announcement, Treasury Secretary Scott Bessent gave a preening interview to the New York Post, a Trump-friendly daily that repeated the claim without examination. He also appeared on a New York Post podcast to promote the administration’s purportedly near-record-setting achievement.
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Bessent didn’t disclose the administration’s methodology, or explain what the first five months of a presidential term was supposed to reveal, so I had to parse the data myself, with the crucial assistance of some professional economists. More on that in a moment.
The basis for Trump’s claim is a government statistic tracking inflation-adjusted hourly earnings for production and nonsupervisory employees in the private sector, pegged to prices in 1982-1984.
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The workers tend to be rank-and-file employees, though economic analysts Philippa Dunne and Doug Henwood of TLRAnalytics note that it’s a stretch to call them “blue-collar.” The term customarily applies to laborers, not “bartenders, teachers, or retail workers” whose earnings are also tracked by the statistic.
Voices Hiltzik: Confused about Trump’s tariff policy? Join the club. With his tariff ‘deals,’ President Trump leaves international trade relationships even more unsettled than before.
Trump cited wage growth from Jan. 1 through May 31 this year. As it happens, however, Trump wasn’t president for that entire period; he took office on Jan. 20, so at least some of his claim covered the last three weeks of the Biden administration.
In other words, some of what Trump bragged about was the work of Biden — the strength of whose economy spilled over into Trump’s term. (Trumpworld hasn’t been shy about blaming Biden for economic problems that have bubbled up over the last few months, so it’s a bit churlish of him to deny Biden credit for this.)
Indeed, one important question related to Trump’s claim goes to what he has actually done that would produce wage gains on this scale. The answer is: nothing. The likelihood is that whatever phenomenon is measurable at this point in the year reflects the Biden economy.
“A really strong economy was handed off to the Trump administration,” says Josh Bivens, chief economist at the labor-affiliated Economic Policy Institute, “and so far, it has mostly held.”
In the New York Post podcast, Bessent attributed the purported wage gains to Trump’s “emphasis on manufacturing,” along with “12 or 20 million illegal aliens coming out of the workforce.”
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In neither category, however, have Trump policies actually achieved anything solid. Manufacturing output, as measured by the Federal Reserve, fell in three of the first five months of this year, following a powerful gain in December, the last full month of the Biden administration. As of May, U.S. manufacturing is operating at a slightly lower percent of capacity than it was in December.
The Bureau of Labor Statistics says that manufacturing employment fell by 8,000 in May, by 2,000 over the three months ending in May, and by 9,000 over the six months ending in May. If there’s a renaissance in manufacturing jobs attributable to Trump industrial policy, it’s not visible in the official numbers.
Voices Hiltzik: Trump-friendly billionaires are taking aim at the federal agencies that protect workers and consumers SpaceX and Amazon want key federal regulatory agencies to be declared unconstitutional. The losers would be workers and customers of financial firms
Bessent’s statement about the millions of “illegal aliens” coming out of the workforce is especially chimerical. Authoritative estimates place the total of undocumented residents in the U.S. at about 11 million to 11.7 million. Unless Bessent thinks that every one of them is no longer in the workforce, he misspoke. (I am being charitable).
Immigration and Customs Enforcement itself claims to have deported 65,000 immigrants in the first 100 days of Trump’s term, ended April 29. To assert that taking those individuals out of the workforce was enough to have triggered a surge in hourly wages for legal residents is absurd.
That’s especially so because many undocumented workers take jobs that employers find difficult, if not impossible, to fill from among legal residents.
Annualized five-month wage growth has been stronger in 12 of the last 32 months — including a long period during Biden’s term — than in Trump’s first five months (circled). (Josh Bivens, Economic Policy Institute)
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As Amy Taxin and Dorany Pineda of the Associated Press reported, in some parts of California’s agricultural belt as many as 45% of farmworkers have stopped coming to work since federal agents launched sweeping raids on farms and other locations employing immigrants. The construction industry also has suffered from a dwindling supply of immigrant workers, with few legally present workers available to replace them.
Voices Hiltzik: The Hoover Institution says all recent California job growth has been in government jobs. That’s completely wrong A Hoover Institution analysis claiming that 96% of California job growth is in government jobs is dead wrong, but it got taken up by right-wing California bashers anyway.
A fundamental question about the White House claim is why it chose to measure itself against the first five months of previous administrations. Why not the first five months of all presidential terms? Or any other five-month period?
I asked the White House and Treasury Department to comment on the administration’s statistic. I got no answer from the White House and nothing on the record from Treasury.
The time frame cited by the White House is curiously selective. The historical comparison to the first five months of one-term presidents and the first terms of two-term presidents doesn’t apply to Trump: “This is Trump’s second term, so he’s not really a member of this club,” observe Dunne and Henwood.
They note, further, that the five-month annualized gain in worker wages is “a silly metric.” The statistic is notoriously volatile, and averaging such a short period only exacerbates its ephemerality.
Judging from five-month annualized averages over time, moreover, “Trump’s 1.7% is high, but not eye-popping,” Dunne and Henwood told me.
They’re right. Going back to October 2022, the five-month average was higher than Trump’s in 12 of the last 32 months. That includes five months of Biden’s term — July through October 2024. The highest annualized five-month gain in real average hourly wages was recorded in September 2024, when it reached about 3.2%.
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What makes the question especially pertinent is that, with a few notable exceptions, little of significance happens in the first five months of a new presidential term. It takes time for newly-elected presidents to assemble their cabinet, cue up a legislative program, address the problems — or coast on the economic health — bequeathed them by their predecessors.
Obama’s first term was consumed with undoing the damage of the Great Recession, which was a product largely of Republican economic policymaking. During his term, Biden had to deal with the consequences of the COVID pandemic.
It’s proper to recognize that even assembling the statistics that the Trump administration decided to torture for its news release may become more difficult in the future. That’s because Trump is taking a hatchet to the government’s economic data infrastructure.
Several datasets have been deleted from federal websites. Budget cuts and mass firings will hobble data collection, and expert advisory committees serving the Census Bureau, BLS and Bureau of Economic Analysis have been disbanded. The result of these and other assaults, wrote Jed Kolko, a former undersecretary for economic affairs at the Commerce Department overseeing data operations at the Census Bureau and BEA, will include the destruction of trust in U.S. economic data.
“Governments hide or manipulate the numbers only when they’re bad, as Argentina did with inflation, Greece with public finances, and China with its youth unemployment rate,” Kolko wrote.
The consequences will extend beyond government agencies. “In the private sector, businesses use federal statistics for investment and marketing decisions,” Kolko added. “Official statistics on population growth, housing conditions, local demographics, and local spending patterns drive decisions about where to build factories, open stores, locate jobs, and construct housing. ... Financial markets trade on macroeconomic releases, and investors rely on clear, confident signals from the Federal Reserve, which itself depends on trustworthy economic data.”
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Trump may not realize that he’s playing with fire by crowing about what could be an ephemeral gain in an obscure statistic. Many economists expect the initiatives he is pursuing to produce a slowdown in economic growth, or even a recession. Corporate executives’ uncertainties about Trump’s tariff policies have already stifled industrial planning, including decisions about when and where to build new factories.
That won’t be positive for wage growth, obviously. Do Trump or Bessent care? One would hope so, but the evidence that they do hasn’t appeared anywhere but in this White House news release. If things turn sour, what will they have to brag about?
| 2025-06-24T00:00:00 |
2025/06/24
|
https://www.latimes.com/business/story/2025-06-24/claiming-a-historic-gain-in-blue-collar-wages-trump-shows-how-to-use-statistics-to-mislead
|
[
{
"date": "2025/06/24",
"position": 4,
"query": "economic recession blue collar workers"
}
] |
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] |
Employment in the U.S. - statistics & facts
|
Employment in the U.S. - statistics & facts
|
https://www.statista.com
|
[
"Abigail Tierney",
"This Text Provides General Information. Statista Assumes No",
"Liability For The Information Given Being Complete Or Correct.",
"Due To Varying Update Cycles",
"Statistics Can Display More Up-To-Date",
"Data Than Referenced In The Text."
] |
While the labor force participation rate has increased since the pandemic, it has only just begun to return to pre-pandemic levels as the country faced a Great ...
|
The U.S. labor force is the backbone of its economy. The country has enjoyed a general upward trend in the number of employed people in the workforce – the greatest exception being during the COVID-19 pandemic. While the labor force participation rate has increased since the pandemic, it has only just begun to return to pre-pandemic levels as the country faced a Great Resignation , and workers became more thoughtful about the shape of their lives. In May 2025, the U.S. had a labor force participation rate of 62.4 percent, significantly lower than the ten countries with the highest participation rates
| 2025-06-24T00:00:00 |
https://www.statista.com/topics/771/employment/
|
[
{
"date": "2025/06/24",
"position": 85,
"query": "economic recession blue collar workers"
}
] |
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American Federation of Labor
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American Federation of Labor
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https://en.wikipedia.org
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The American Federation of Labor (A.F. of L.) was a national federation of labor unions in the United States that continues today as the AFL-CIO.
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Labor organization from 1886 to 1955
The American Federation of Labor (A.F. of L.) was a national federation of labor unions in the United States that continues today as the AFL-CIO. It was founded in Columbus, Ohio, in 1886 by an alliance of craft unions eager to provide mutual support and disappointed in the Knights of Labor. Samuel Gompers was elected the full-time president at its founding convention and was re-elected every year except one until his death in 1924. He became the major spokesperson for the union movement.
The A.F. of L. was the largest union grouping, even after the creation of the Congress of Industrial Organizations (CIO) by unions that were expelled by the A.F. of L. in 1935. The A.F. of L. was founded and dominated by craft unions, especially in the building trades. In the late 1930s, craft affiliates expanded by organizing on an industrial union basis to meet the challenge from the CIO. The A.F. of L. and the CIO competed bitterly in the late 1930s but then cooperated during World War II and afterward. In 1955, the two merged to create the AFL-CIO, which has comprised the longest lasting and most influential labor federation in the United States to this day.
Organizational history [ edit ]
Origins [ edit ]
Terence Powderly, Grand Master Workman of the Knights of Labor, whose refusal to negotiate with craft unions led to formation of the AFL
The American Federation of Labor (A.F. of L.) was organized as an association of trade unions in 1886. The organization emerged from a dispute with the Knights of Labor (K of L) organization, in which the leadership of that organization solicited locals of various craft unions to withdraw from their International organizations and to affiliate with the K of L directly, an action which would have moved funds from the various unions to the K of L.[1] The Federation of Organized Trades and Labor Unions also merged into what would become the American Federation of Labor.
One of the organizations embroiled in this controversy was the Cigar Makers' International Union (CMIU), a group subject to competition from a dual union, a rival "Progressive Cigarmakers' Union", organized by members suspended or expelled by the CMIU.[2] The two cigar unions competed with one another in signing contracts with various cigar manufacturers, who were at this same time combining themselves into manufacturers' associations of their own in New York City, Detroit, Cincinnati, Chicago, and Milwaukee.[2]
In January 1886, the Cigar Manufacturers' Association of New York City announced a 20 percent wage cut in factories around the city. The Cigar Makers' International Union refused to accept the cut and 6,000 of its members in 19 factories were locked out by the owners. A strike lasting four weeks ensued.[3] Just when it appeared that the strike might be won, the New York District Assembly of the Knights of Labor leaped into the breach, offering to settle with the 19 factories at a lower wage scale than that proposed by the CMIU, so long as only the Progressive Cigarmakers' Union was employed.[3]
The leadership of the CMIU was enraged and demanded that the New York District Assembly be investigated and punished by the national officials of the Knights of Labor. The committee of investigation was controlled by individuals friendly to the New York District Assembly, however, and the latter was exonerated.[4] The American Federation of Labor was thus originally formed as an alliance of craft unions outside the Knights of Labor as a means of defending themselves against this and similar incursions.[5]
On April 25, 1886, a circular letter was issued by Adolph Strasser of the Cigar Makers and P. J. McGuire of the Carpenters, addressed to all national trade unions and calling for their attendance of a conference in Philadelphia on May 18.[6] The call stated that an element of the Knights of Labor was doing "malicious work" and causing "incalculable mischief by arousing antagonisms and dissensions in the labor movement."[5] The call was signed by Strasser and McGuire, along with representatives of the Granite Cutters, the Iron Molders, and the secretary of the Federation of Trades of North America, a forerunner of the A.F. of L. founded in 1881.[5]
Forty-three invitations were mailed, which drew the attendance of 20 delegates and letters of approval from 12 other unions.[7] At this preliminary gathering, held in Donaldson Hall on the corner of Broad and Filbert Streets,[8] the K of L was charged with conspiring with anti-union bosses to provide labor at below going union rates and with making use of individuals who had crossed picket lines or defaulted on payment of union dues.[9] The body authored a "treaty" to be presented to the forthcoming May 24, 1886, convention of the Knights of Labor, which demanded that the K of L cease attempting to organize members of International Unions into its own assemblies without permission of the unions involved and that K of L organizers violating this provision should suffer immediate suspension.[9]
For its part, the Knights of Labor considered the demand for the parcelling of the labor movement into narrow craft-based fiefdoms to be anathema, a violation of the principle of solidarity of all workers across craft lines.[10] Negotiations with the dissident craft unions were nipped in the bud by the governing General Assembly of the K of L, however, with the organization's Grand Master Workman, Terence V. Powderly refusing to enter into serious discussions on the matter.[11] The actions of the New York District Assembly of the K of L were upheld.
Formation and early years [ edit ]
Samuel Gompers in the office of the American Federation of Labor, 1887
Convinced that no accommodation with the leadership of the Knights of Labor was possible, the heads of the five labor organizations which issued the call for the April 1886 conference issued a new call for a convention to be held December 8, 1886, in Columbus, Ohio, in order to construct "an American federation of alliance of all national and international trade unions."[12] Forty-two delegates representing 13 national unions and various other local labor organizations responded to the call, agreeing to form themselves into an American Federation of Labor.[13]
Revenue for the new organization was to be raised on the basis of a "per-capita tax" of its member organizations, set at the rate of one-half cent per member per month (i.e. six cents per year, equal to $2.1 today).[14] Governance of the organization was to be by annual conventions, with one delegate allocated for every 4,000 members of each affiliated union.[14] The founding convention voted to make the President of the new federation a full-time official at a salary of $1,000 per year (equal to $34,996 today), and Samuel Gompers of the Cigar Makers' International Union was elected to the position.[14] Gompers would ultimately be re-elected to the position by annual conventions of the organization for every year save one until his death nearly four decades later.
Although the founding convention of the A.F. of L. had authorized the establishment of a publication for the new organization, Gompers made use of the existing labor press to generate support for the position of the craft unions against the Knights of Labor. Powerful opinion-makers of the American labor movement such as the Philadelphia Tocsin, Haverhill Labor, the Brooklyn Labor Press, and the Denver Labor Enquirer granted Gompers space in their pages, in which he made the case for the unions against the attacks of employers, "all too often aided by the K of L."[15]
Headway was made in the form of endorsement by various local labor bodies. Some assemblies of the K of L supported the Cigar Makers' position and departed the organization: in Baltimore, 30 locals left the organization, while the membership of the Knights in Chicago fell from 25,000 in 1886 to just 3,500 in 1887.[16] Factional warfare broke out in the K of L, with Terence Powderly blaming the organization's travails on "radicals" in its ranks, while those opposing Powderly called for an end to what they perceived as "autocratic leadership".[17]
In the face of the steady disintegration of its rival, the fledgling American Federation of Labor struggled to maintain itself, with the group showing very slow and incremental growth in its first years, only cracking the 250,000 member mark in 1892.[18] The group from the outset concentrated upon the income and working conditions of its membership as its almost sole focus. The A.F. of L.'s founding convention declaring "higher wages and a shorter workday" to be "preliminary steps toward great and accompanying improvements in the condition of the working people." Participation in partisan politics was avoided as inherently divisive, and the group's constitution was structured to prevent the admission of political parties as affiliates.[19]
This fundamentally conservative "pure and simple" approach limited the A.F. of L. to matters pertaining to working conditions and rates of pay, relegating political goals to its allies in the political sphere. The Federation favored pursuit of workers' immediate demands rather than challenging the property rights of owners, and took a pragmatic view of politics which favored tactical support for particular politicians over formation of a party devoted to workers' interests. The A.F. of L.'s leadership believed the expansion of the capitalist system was seen as the path to betterment of labor, an orientation making it possible for the A.F. of L. to present itself as what one historian has called "the conservative alternative to working class radicalism".[20]
Early 20th century [ edit ]
The A.F. of L. faced its first major reversal when employers launched an open shop movement in 1903, designed to drive unions out of construction, mining, longshore and other industries. Membership in the A.F. of L.'s affiliated unions declined between 1904 and 1914 in the face of this concerted anti-union drive, which made effective use of legal injunctions against strikes, court rulings given force when backed with the armed might of the state.[citation needed] At its November 1907 Convention in Norfolk, Virginia, the A.F. of L. founded the future North America's Building Trades Unions (NABTU) as its Department of Building Trades.[21]: 1
Ever the pragmatist, Gompers argued that labor should "reward its friends and punish its enemies" in both major parties. However, in the 1900s (decade), the two parties began to realign, with the main faction of the Republican Party coming to identify with the interests of banks and manufacturers, while a substantial portion of the rival Democratic Party took a more labor-friendly position. While not precluding its members from belonging to the Socialist Party or working with its members, the A.F. of L. traditionally refused to pursue the tactic of independent political action by the workers in the form of the existing Socialist Party or the establishment of a new labor party. After 1908, the organization's tie to the Democratic party grew increasingly strong.[22]
National Civic Federation [ edit ]
Some unions within the A.F. of L. helped form and participated in the National Civic Federation. The National Civic Federation was formed by several progressive employers who sought to avoid labor disputes by fostering collective bargaining and "responsible" unionism.
Major Republican leaders, such as President William McKinley and Senator Mark Hanna, made pro-labor statements. According to Gwendolyn Mink:[23]
The escalation in labor disruptions and the expansion in union membership encouraged business leaders to promote union-employer cooperation in order to rationalize production and maximize efficiency. The AFL was the linchpin of such cooperation. Where AFL unions existed, the AFL could be called upon to manage labor conflict; equally important, the AFL was unlikely to sacrifice its organization to the volatility of industrial unionism.
Labor's participation in the National Civic Federation created internal division within the A.F. of L. The Socialist elemet who believed the only way to help workers was to remove large industry from private ownership, denounced labor's efforts at cooperation with the capitalists. The A.F. of L. nonetheless continued its association with the group, which declined in importance as the decade of the 1910s drew to a close.[24]
Canada [ edit ]
By the 1890s, Gompers was planning an international federation of labor, starting with the expansion of A.F. of L. affiliates in Canada, especially Ontario. He helped the Canadian Trades and Labour Congress with money and organizers, and by 1902, the A.F. of L. came to dominate the Canadian union movement.[25]
Immigration restriction [ edit ]
1922 cartoon from the American Federationist. The caption reads: The Union Man's Burden; Every organized worker carries an unorganized worker "strapped to his back".
The A.F. of L. vigorously opposed unrestricted immigration from Europe for moral, cultural, and racial reasons. The issue unified the workers who feared that an influx of new workers would flood the labor market and lower wages.[26] Nativism was not a factor because upwards of half the union members were themselves immigrants or the sons of immigrants from Ireland, Germany and Britain. Nativism was a factor when the A.F. of L. even more strenuously opposed all immigration from Asia because it represented (to its Euro-American members) an alien culture that could not be assimilated into American society. The A.F. of L. intensified its opposition after 1906 and was instrumental in passing immigration restriction bills from the 1890s to the 1920s, such as the 1921 Emergency Quota Act and the Immigration Act of 1924, and seeing that they were strictly enforced.[27]
Mink (1986) concludes that the link between the A.F. of L. and the Democratic Party rested in part on immigration issues, noting the large corporations, which supported the Republicans, wanted more immigration to augment their labor force.[28]
Prohibition gained strength as the German American community came under fire. The A.F. of L. was against prohibition as it was viewed as cultural right of the working class to drink.[29]
Coalition against child labor [ edit ]
Child labor was an issue on which the A.F. of L. found common ground with middle class reformers who otherwise kept their distance. The A.F. of L. joined campaigns at the state and national level to limit the employment of children under age 14.[30][31] In 1904 a major national organization emerged, the National Child Labor Committee (NCLC).[32] In state after state reformers launched crusades to pass laws restricting child labor, with the ultimate goals of rescuing young bodies and increasing school attendance. The frustrations included the Supreme Court striking down two national laws as unconstitutional, and weak enforcement of state laws due to the political influence of employers.[33]
World War I and after: 1917–1921 [ edit ]
1919 New York Herald cartoon portraying "reds" and IWW members as a violent mob held back by threat of a US Army machine gun
The A.F. of L. and its affiliates were strong supporters of the war effort. The risk of disruptions to war production by labor radicals provided the A.F. of L. political leverage to gain recognition and mediation of labor disputes, often in favor of improvements for workers.[34] The A.F. of L. unions avoided strikes in favor of arbitration. Wages soared as near-full employment was reached at the height of the war. The A.F. of L. unions strongly encouraged young men to enlist in the military, and fiercely opposed efforts to reduce recruiting and slow war production by pacifists, the anti-war Industrial Workers of the World (IWW) and the radical faction of Socialists. To keep factories running smoothly, President Wilson established the National War Labor Board in 1918, which forced management to negotiate with existing unions.[35] Wilson also appointed A.F. of L. president Gompers to the powerful Council of National Defense, where he set up the War Committee on Labor.[36]
The A. F. of L. was strongly committed to the national war aims and cooperated closely with Washington. It used the opportunity to grow rapidly. It worked out an informal agreement with the United States government, in which the A.F. of L. would coordinate with the government both to support the war effort and to join "into an alliance to crush radical labor groups" that opposed the war effort, especially the Industrial Workers of the World and Socialist Party of America.[37]
Gompers chaired the wartime Labor Advisory Board. He attended the Paris Peace Conference in 1919 as an official advisor on labor issues.[38]
In 1920, the A.F. of L. petitioned Washington for the release of prisoners who had been convicted under Wartime Emergency Laws. Wilson did not act but President Warren Harding did so.[39][40]
While 1919 was the first year of peace after the end of the First World War, it was a year of great turmoil in the US labor movement. A.F. of L. membership soared to 2.4 million in 1917 and 4.1 million at the end of 1919. The A.F. of L. unions tried to make their gains permanent and called a series of major strikes in meat, steel, and other industries. The strikes ultimately failed. This was coupled with the First Red Scare, which feared a workers' revolution in the image of the Russian Revolution in the US. While the Red Scare centered its attacks on more radical unions, such as the IWW, the AFL was also subject to repression from both the government and various vigilante groups such as the American Legion. 1919 was also a decisive year in the AFL's tumultuous relationship to the ever-growing population of black industrial workers, a result of the Great Migration. Due to jobs being taken away from soldiers fighting in Europe and given, largely, to black workers new to the Northern states, many returning white soldiers laid the blame for their economic uncertainty on the black workers. This caused increased racial tension across the country, which, when coupled with the nationalism stoked by the war, led to the Red Summer, a series of outbreaks of mass racial violence that not only targeted black people in general but also organized workers broadly. The AFL did little to aid the black workers trying to hold on to a peaceful existence in the north and did less to protest the increasingly cruel treatment of black workers in the Deep South made painful apparent by the Elaine Massacre. The failure of the AFL to deal with the Red Scare, racial issues, and generally capitalize on the momentum of the militant organizing that dominated the year 1919 after the Seattle General Strike led to a decline in the organization's prestige and respect among workers. This left them open to being ravaged by open shop drives which intensified in the wake of 1919.
1920s [ edit ]
American Federation of Labor head Samuel Gompers (right) endorsed the pro-labor independent Presidential candidate Robert M. La Follette in 1924.
In the pro-business environment of the 1920s, business launched a large-scale offensive on behalf of the so-called "open shop", which meant that a person did not have to be a union member to be hired. A.F. of L. unions lost membership steadily until 1933.[41] In 1924, following the death of Samuel Gompers, UMWA member and A.F. of L. vice president William Green became the president of the labor federation.[42]
The organization endorsed pro-labor progressive Robert M. La Follette in the 1924 presidential election. He only carried his home state of Wisconsin. The campaign failed to establish a permanent independent party closely connected to the labor movement, however, and thereafter the Federation embraced ever more closely the Democratic Party, despite the fact that many union leaders remained Republicans.[43] Herbert Hoover in 1928 won the votes of many Protestant A.F. of L. members.[44]
New Deal [ edit ]
The Great Depression were hard times for the unions, and membership fell sharply across the country. As the national economy began to recover in 1933, so did union membership. The New Deal of president Franklin D. Roosevelt, a Democrat, strongly favored labor unions. He made sure that relief operations like the Civilian Conservation Corps did not include a training component that would produce skilled workers who would compete with union members in a still glutted market. The major legislation was the National Labor Relations Act of 1935, called the Wagner Act. It greatly strengthened organized unions, especially by weakening the company unions that many workers belonged to. It was to the members advantage to transform a company union into a local of an A.F. of L. union, and thousands did so, dramatically boosting the membership. The Wagner Act also set up to the National Labor Relations Board, which used its powers to rule in favor of unions and against the companies.
In the early 1930s, A.F. of L. president William Green (president, 1924–1952) experimented with an industrial approach to organizing in the automobile and steel industries.[45] The A.F. of L. made forays into industrial unionism by chartering federal labor unions, which would organize across an industry and be chartered by the Federation, not through existing craft unions, guilds, or brotherhoods. As early as 1923, the A.F. of L. had chartered federal labor unions, including six news writer locals that had formerly been part of the International Typographical Union.[46] However, in the 1930s the A.F. of L. began chartering these federal labor unions as an industrial organizing strategy. The dues in these federal labor unions (FLUs) were kept intentionally low to make them more accessible to low paid industrial workers; however, these low dues later allowed the Internationals in the Federation to deny members of FLUs voting membership at conventions.[47] In 1933, Green sent William Collins to Detroit to organize automobile workers into a federal labor union.[45] That same year workers at the Westinghouse plant in East Springfield MA, members of federal labor union 18476, struck for recognition.[48] In 1933, the A.F. of L. received 1,205 applications for charters for federal labor unions, 1006 of which were granted.[49] By 1934, the A.F. of L. had successfully organized 32,500 autoworkers using the federal labor union model.[50] Most of the leadership of the craft union internationals that made up the federation, advocated for the FLU's to be absorbed into existing craft union internationals and for these internationals to have supremacy of jurisdiction.[50][49] At the 1933 A.F. of L. convention in Washington, DC, John Frey of the Molders and Metal Trades pushed for craft union internationals to have jurisdictional supremacy over the FLU's; the Carpenters headed by William Hutchenson and the IBEW also pushed for FLU's to turn over their members to the authority of the craft internationals between 1933 and 1935.[51] In 1934, one hundred FLUs met separately and demanded that the A.F. of L. continue to issue charters to unions organizing on an industrial basis independent of the existing craft union internationals.[52] In 1935 the FLUs representing autoworkers and rubber workers both held conventions independent of the craft union internationals.[53]
By the 1935 A.F. of L. convention, Green and the advocates of traditional craft unionism faced increasing dissension led by John L. Lewis of the coal miners, Sidney Hillman of the Amalgamated, David Dubinsky of the Garment Workers, Charles Howard of the ITU, Thomas McMahon of the Textile Workers, and Max Zaritsky of the Hat, Cap, and Millinery Workers, in addition to the members of the FLU's themselves.[54] Lewis argued that the A.F.of L. was too heavily oriented toward traditional craftsmen, and was overlooking the opportunity to organize millions of semiskilled workers, especially those in industrial factories that made automobiles, rubber, glass and steel. In 1935 Lewis led the dissenting unions in forming a new Congress for Industrial Organization (CIO) within the A.F. of L. Both the new CIO industrial unions, and the older A.F. of L. crafts unions grew rapidly after 1935. President Franklin D. Roosevelt became a hero to them. He won reelection in a landslide in 1936, and by a closer margin in 1940. Labor unions gave strong support in 1940, compared to very strong support in 1936. The Gallup Poll showed CIO voters declined from 85% in 1935 to 79% in 1940. A.F. of L. voters went from 80% to 71%. Other union members went from 74% to 57%. Blue collar workers who were not union members went 72% to 64%.[55]
World War II and merger [ edit ]
The A.F. of L. retained close ties to the Democratic machines in big cities through the 1940s. Its membership surged during the war and it held on to most of its new members after wartime legal support for labor was removed. Despite its close connections to many in Congress, the A.F. of L. was not able to block the Taft–Hartley Act in 1947.[56] Also in 1947, the union supported the strike efforts of thousands of switchboard operators by donating thousands of dollars.[57]
In 1955, the A.F. of L. and CIO merged to form the AFL-CIO, headed by George Meany.[58]
Historical problems [ edit ]
Racism [ edit ]
"The American Gulliver and Chinese Lilliputians", from 1901 pamphlet
During its first years, the A.F. of L. admitted nearly anyone. Gompers opened the A.F. of L. to radical and socialist workers and to some semiskilled and unskilled workers. Women, African Americans, and immigrants joined in small numbers. By the 1890s, the Federation had begun to organize only skilled workers in craft unions and became an organization of mostly white men. Although the A.F. of L. preached a policy of egalitarianism in regard to African-American workers, it actively discriminated against them.[59][60] The A.F. of L. sanctioned the maintenance of segregated locals within its affiliates, particularly in the construction and railroad industries, a practice that often excluded black workers altogether from union membership and thus from employment in organized industries.[61] These practices led prominent labor historian Philip S. Foner to describe the AFL as "Jim Crow Unionism."[62]
In 1901, the A.F. of L. lobbied Congress to reauthorize the 1882 Chinese Exclusion Act, and issued a pamphlet entitled "Some reasons for Chinese Exclusion. Meat vs. Rice. American Manhood against Asiatic Coolieism. Which shall survive?".[63][64] The A.F. of L. also began one of the first organized labor boycotts when they began putting white stickers on the cigars made by unionized white cigar rollers while simultaneously discouraging consumers from purchasing cigars rolled by Chinese workers.[65] In general, AFL unions preferred native-born workers, discouraged the speaking of any language other than English by its members, and had strict citizenship requirements of the immigrants it did admit to the union for the majority of its history.
Sexism [ edit ]
In most ways, the A.F. of L.'s treatment of women workers paralleled its policy towards black workers. The A.F. of L. never adopted a strict policy of gender exclusion and, at times, even came out in favor of women's unionism. However, despite such rhetoric, it only half-heartedly supported women's attempts to organize and, more often, took pains to keep women out of unions and the workforce altogether. Only two national unions affiliated with the A.F. of L. at its founding openly included women, and others passed bylaws barring women's membership entirely. The A.F. of L. hired its first female organizer, Mary Kenney O'Sullivan, only in 1892, released her after five months, and it did not replace her or hire another woman national organizer until 1908. Women who organized their own unions were often turned down in bids to join the Federation, and even women who did join unions found them hostile or intentionally inaccessible. Unions often held meetings at night or in bars when women might find it difficult to attend and where they might feel uncomfortable, and male unionists heckled women who tried to speak at meetings.[66]
Generally, the A.F. of L. viewed women workers as competition, strikebreakers, or an unskilled labor reserve that kept wages low. As such, it often opposed women's employment entirely. When it organized women workers, it most often did so to protect men's jobs and earning power, not to improve the conditions, lives, or wages of women workers. In response, most women workers remained outside the labor movement. In 1900, only 3.3% of working women were organized into unions. In 1910, even as the A.F. of L. surged forward in membership, that number had dipped to 1.5%. It improved to 6.6% over the next decade, but women remained mostly outside of unions and practically invisible inside of them into the mid-1920s.[67]
Attitudes gradually changed within the A.F. of L. by the pressure of organized female workers. Female-domination began to emerge in the first two decades of the 20th century, including particularly the International Ladies Garment Workers' Union. Women organized independent locals among New York hat makers, in the Chicago stockyards, and among Jewish and Italian waist makers, to name only three examples. Through the efforts of middle-class reformers and activists, often of the Women's Trade Union League, those unions joined the A.F. of L.[68]
Conflicts between affiliated unions [ edit ]
The A.F. of L. arbitrated disputes between member unions and enforced its decisions by rescinding charters, when necessary. (1919 Cigar Makers' Union charter certificate.)
From the beginning, unions affiliated with the A.F. of L. found themselves in conflict when both unions claimed jurisdiction over the same groups of workers: both the Brewers and Teamsters claimed to represent beer truck drivers, both the Machinists and the International Typographical Union claimed to represent certain printroom employees, and the Machinists and a fledgling union known as the "Carriage, Wagon and Automobile Workers Union" sought to organize the same employees even though neither union had made any effort to organize or bargain for those employees. In some cases, the A.F. of L. mediated the dispute, usually by favoring the larger or more influential union. The A.F. of L. often reversed its jurisdictional rulings over time, as the continuing jurisdictional battles between the Brewers and the Teamsters showed.[citation needed]
Affiliates within the AFL formed "departments" to help resolve these jurisdictional conflicts and to provide a more effective voice for member unions in given industries. The Metal Trades Department engaged in some organizing of its own, primarily in shipbuilding, where unions such as the Pipefitters, Machinists and Iron Workers joined through local metal workers' councils to represent a diverse group of workers. The Railway Employes' Department dealt with both jurisdictional disputes between affiliates and pursued a common legislative agenda for all of them.[citation needed]
Historical achievements [ edit ]
Organizing and coordination [ edit ]
The A.F. of L. made efforts in its early years to assist its affiliates in organizing: it advanced funds or provided organizers or, in some cases, such as the International Brotherhood of Electrical Workers, the Teamsters and the American Federation of Musicians, helped form the union. The A.F. of L. also used its influence, including refusal of charters or expulsion, to heal splits within affiliated unions, to force separate unions seeking to represent the same or closely related jurisdictions to merge, or to mediate disputes between rival factions where both sides claimed to represent the leadership of an affiliated union. The A.F. of L. also chartered "federal unions", local unions not affiliated with any international union, in those fields in which no affiliate claimed jurisdiction.[citation needed]
The A.F. of L. also encouraged the formation of local labor bodies, known as central labor councils, in major metropolitan areas in which all of the affiliates could participate. Those local labor councils acquired a great deal of influence in some cases. For example, the Chicago Federation of Labor spearheaded efforts to organize packinghouse and steel workers during and immediately after World War I. Local building trades councils also became powerful in some areas. In San Francisco, the local Building Trades Council, led by Carpenters official P. H. McCarthy, not only dominated the local labor council but helped elect McCarthy mayor of San Francisco in 1909. In a very few cases early in the A.F. of L.'s history, state and local bodies defied A.F. of L. policy or chose to disaffiliate over policy disputes.[citation needed]
Political action [ edit ]
Though Gompers had contact with socialists and such as A.F. of L. co-founder Peter J. McGuire, the A.F. of L. adopted a philosophy of "business unionism" that emphasized unions' contribution to businesses' profits and national economic growth. The business unionist approach also focused on skilled workers' immediate job-related interests, while refusing to "rush to the support of any one of the numerous society-saving or society destroying schemes" involved in larger political issues.[69] This approach was set by Gompers, who was influenced by a fellow cigar maker (and former socialist) Ferdinand Laurrel. Despite his socialist contacts, Gompers himself was not a socialist.[70]
Employers discovered the efficacy of labor injunctions, first used with great effect by the Cleveland administration during the Pullman Strike in 1894. While the A.F. of L. sought to outlaw "yellow dog contracts", to limit the courts' power to impose "government by injunction" and to obtain exemption from the antitrust laws that were being used to criminalize labor organizing, the courts reversed what few legislative successes the labor movement won.[71]
The A.F. of L. concentrated its political efforts during the last decades of the Gompers administration on securing freedom from state control of unions—in particular an end to the court's use of labor injunctions to block the right to organize or strike and the application of the anti-trust laws to criminalize labor's use of pickets, boycotts and strikes. The A.F. of L. thought that it had achieved the latter with the passage of the Clayton Antitrust Act in 1914—which Gompers referred to as "Labor's Magna Carta". But in Duplex Printing Press Co. v. Deering, 254 U.S. 443 (1921), the United States Supreme Court narrowly read the Act and codified the federal courts' existing power to issue injunctions rather than limit it. The court read the phrase "between an employer and employees" (contained in the first paragraph of the Act) to refer only to cases involving an employer and its own employees, leaving the courts free to punish unions for engaging in sympathy strikes or secondary boycotts.[citation needed]
The A.F. of L.'s pessimistic attitude towards politics did not, on the other hand, prevent affiliated unions from pursuing their own agendas. Construction unions supported legislation that governed entry of contractors into the industry and protected workers' rights to pay, rail and mass production industries sought workplace safety legislation, and unions generally agitated for the passage of workers' compensation statutes.[citation needed]
At the same time, the A.F. of L. took efforts on behalf of women in supporting protective legislation. It advocated fewer hours for women workers, and based its arguments on assumptions of female weakness. Like efforts to unionize, most support for protective legislation for women came out of a desire to protect men's jobs. If women's hours could be limited, reasoned A.F. of L. officials, they would infringe less on male employment and earning potential. But the A.F. of L. also took more selfless efforts. Even from the 1890s, the A.F. of L. declared itself vigorously in favor of women's suffrage. It often printed pro-suffrage articles in its periodical, and in 1918, it supported the National Union of Women's Suffrage.[72]
The A.F. of L. relaxed its rigid stand against legislation after the death of Gompers. Even so, it remained cautious. Its proposals for unemployment benefits (made in the late 1920s) were too modest to have practical value, as the Great Depression soon showed. The impetus for the major federal labor laws of the 1930s came from the New Deal. The enormous growth in union membership came after Congress passed the National Industrial Recovery Act in 1933 and National Labor Relations Act in 1935. The A.F. of L. refused to sanction or participate in the mass strikes led by John L. Lewis of the United Mine Workers and other left unions such as the Amalgamated Clothing Workers of America. After the A.F. of L. expelled the CIO in 1936, the CIO undertook a major organizing effort. In 1947, when the Taft-Hartley Act was passed, political activities were stirred. In resistance to the new law, the CIO joined the A.F. of L., and political co-operation set the path for union unity. The two groups merged, eight years later, into the AFL–CIO coalition with George Meany as the new president.[73]
Leadership [ edit ]
Presidents [ edit ]
Secretaries [ edit ]
Treasurers [ edit ]
Affiliated unions and brotherhoods [ edit ]
Sources: American Labor Year Book, 1926, pp. 85–87, 103–172. American Labor Press Directory, pp. 1–11.
State federations [ edit ]
See also [ edit ]
Citations [ edit ]
Bibliography [ edit ]
Primary sources [ edit ]
Scholarly secondary sources [ edit ]
| 2025-06-24T00:00:00 |
https://en.wikipedia.org/wiki/American_Federation_of_Labor
|
[
{
"date": "2025/06/24",
"position": 47,
"query": "worker organization labor unions wage distribution"
},
{
"date": "2025/06/24",
"position": 21,
"query": "worker organization labor unions blue collar workers"
}
] |
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