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AI Will Wipe Out White-Collar Jobs by 2027
|
The End of White Collar Work
|
https://www.wbn.digital
|
[] |
AI experts at Anthropic warn that nearly all white collar jobs could be automated by 2027. With little time left, companies and individuals must urgently ...
|
By Elke Porter | WBN Ai | June 9, 2025
Subscription to WBN and being a Writer is FREE!
In a striking new video from AI Copium, researcher Sholto Douglas of Anthropic predicts that by 2027–2028, AI systems will be capable of automating nearly every white-collar job. And it’s not just a prediction—it’s a warning echoed by other leading voices in the AI space, including Trenton Bricken (Anthropic), David Blondon (Data Stage), and futurist Peter Diamandis.
🔍 Key Takeaways:
White-collar automation is inevitable and imminent. Sholto Douglas claims that with existing models and enough data, we can already automate the majority of white-collar tasks—even if AI development stopped progressing.
Sholto Douglas claims that with existing models and enough data, we can already automate the majority of white-collar tasks—even if AI development stopped progressing. We don’t even need new AI models. According to Douglas and Bricken, current systems, with the right infrastructure and datasets, can handle most tasks done by analysts, consultants, marketers, HR, and even software engineers.
According to Douglas and Bricken, current systems, with the right infrastructure and datasets, can handle most tasks done by analysts, consultants, marketers, HR, and even software engineers. It’s not just technically possible—it’s economically inevitable. Companies will be financially incentivized to adopt AI to stay competitive. Those that don’t will risk being left behind.
Companies will be to adopt AI to stay competitive. Those that don’t will risk being left behind. Job displacement will begin fast and soon. Expect major disruption between 2026 and 2028 . Many workers, including those in Silicon Valley, are already feeling the effects, with layoffs accelerating.
Expect major disruption between . Many workers, including those in Silicon Valley, are already feeling the effects, with layoffs accelerating. Corporations are focused on profit, not people. Engineers who helped build these AI systems are being replaced by them. This cycle is expected to spread across industries.
Engineers who helped build these AI systems are being replaced by them. This cycle is expected to spread across industries. Most people, governments, and companies are unprepared. Experts urge immediate action: employers must train their workers to become AI users now—or risk making them obsolete.
Experts urge immediate action: employers must train their workers to become AI users now—or risk making them obsolete. Unanswered questions remain. What happens when consumers no longer have jobs or income to support the economy? The video notes that even if the economics don't add up in the long term, short-term profit motives will still drive adoption.
⚠️ Final Message:
The video concludes with a sense of urgency: this future is not decades away—it’s a few years out. While AI can improve lives and unlock abundance in medicine and robotics, without preparation, it will first cause mass disruption.
🎙️ Credit:
This summary is based on “AI Copium – Intro”, a video commentary on the future of artificial intelligence and work, featuring Sholto Douglas and Trenton Bricken of Anthropic, with insights from Peter Diamandis and David Blondon.
Why Does It Matter?
The prediction that AI could automate nearly all white-collar jobs by 2027–2030 matters because it signals a rapid and massive shift in the global workforce that few are prepared for. This could lead to widespread job displacement, economic disruption, rising inequality, and social unrest if proactive steps aren't taken. It’s a critical moment to rethink education, upskilling, and public policy to ensure AI enhances human potential rather than replaces it entirely.
🎙️ Bottom Line:
This isn’t just a temporary downturn — it’s a fundamental reset of the workforce. The future belongs to those who adapt.
Connect with Elke at Westcoast German Media or on LinkedIn: Elke Porter or contact her on WhatsApp: +1 604 828 8788
TAGS: #AI Job Disruption #Future Of Work #White Collar AI #AI Revolution #Anthropic Insights #Automation 2027 #WBN News Vancouver #Elke Porter
| 2027-08-07T00:00:00 |
2027/08/07
|
https://www.wbn.digital/ai-will-wipe-out-white-collar-jobs-by-2027-and-no-ones-ready/
|
[
{
"date": "2025/06/09",
"position": 61,
"query": "artificial intelligence blue collar workers"
},
{
"date": "2025/06/09",
"position": 38,
"query": "artificial intelligence white collar workers"
}
] |
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] |
journalist
|
[
"AI Foundations and Empowerment",
"AI Tools and Technologies",
"AI and Economic Impact",
"AI in Energy and Engineering",
"AI in Hiring and Employment",
"Job Security and Unemployment",
"Labor Market Dynamics and Disruption",
"Skills and Education Development"
] |
The document presents a predictive and urgent outlook that by 2027–2028, AI systems will automate nearly all white-collar jobs, driven by existing models and data rather than new AI development. It warns of rapid job displacement across industries, including HR, marketing, consulting, and software engineering, with companies prioritizing short-term profits over worker well-being. The authors emphasize that without immediate upskilling and policy intervention, workers will become obsolete, leading to economic disruption and rising inequality. The piece calls for proactive measures to prepare the workforce for human-AI collaboration and to prevent social unrest. It frames the shift as a fundamental reset of the labor market rather than a temporary downturn.
| 10 |
opinion
|
[
"ai & economic equity",
"ai adoption",
"ai in hr",
"ai in manufacturing",
"ai in tech",
"job displacement",
"labor market disruption",
"upskilling & reskilling"
] |
[
{
"argument_summary": "AI systems can already automate the majority of white-collar tasks using existing models and sufficient data, even without further AI development.",
"argument_quote": [
"Sholto Douglas claims that with existing models and enough data, we can already automate the majority of white-collar tasks—even if AI development stopped progressing.",
"According to Douglas and Bricken, current systems, with the right infrastructure and datasets, can handle most tasks done by analysts, consultants, marketers, HR, and even software engineers."
],
"argument_source_name": "Sholto Douglas, Trenton Bricken",
"argument_source_title": "Anthropic researchers",
"argument_topics_categories": null,
"argument_type": "prediction",
"argument_topics": [
"AI Adoption",
"Labor Market Disruption",
"Job Displacement",
"AI in HR",
"AI in Tech"
]
},
{
"argument_summary": "Corporate adoption of AI is economically inevitable due to profit incentives, leading to widespread job displacement between 2026 and 2028.",
"argument_quote": [
"It’s not just technically possible—it’s economically inevitable. Companies will be financially incentivized to adopt AI to stay competitive. Those that don’t will risk being left behind.",
"Job displacement will begin fast and soon. Expect major disruption between 2026 and 2028."
],
"argument_source_name": "Sholto Douglas, Trenton Bricken",
"argument_source_title": "Anthropic researchers",
"argument_topics_categories": null,
"argument_type": "prediction",
"argument_topics": [
"Labor Market Disruption",
"Job Displacement",
"AI Adoption",
"AI & Economic Equity"
]
},
{
"argument_summary": "Engineers who built AI systems are being replaced by the very AI they developed, signaling a self-reinforcing cycle of automation across industries.",
"argument_quote": [
"Engineers who helped build these AI systems are being replaced by them. This cycle is expected to spread across industries."
],
"argument_source_name": "Sholto Douglas, Trenton Bricken",
"argument_source_title": "Anthropic researchers",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"Job Displacement",
"AI in Tech",
"Labor Market Disruption",
"AI Development"
]
},
{
"argument_summary": "Workers, governments, and companies are unprepared for the scale of AI-driven disruption, and immediate upskilling is required to prevent obsolescence.",
"argument_quote": [
"Most people, governments, and companies are unprepared. Experts urge immediate action: employers must train their workers to become AI users now—or risk making them obsolete."
],
"argument_source_name": "Sholto Douglas, Trenton Bricken, David Blondon",
"argument_source_title": "Anthropic researchers, Data Stage, futurist Peter Diamandis",
"argument_topics_categories": null,
"argument_type": "normative",
"argument_topics": [
"Upskilling & Reskilling",
"AI Skills Readiness",
"Career Development",
"Labor Market Disruption"
]
},
{
"argument_summary": "The economic and social consequences of mass job loss include rising inequality, economic instability, and potential social unrest if no proactive policy responses are made.",
"argument_quote": [
"Why Does It Matter? The prediction that AI could automate nearly all white-collar jobs by 2027–2030 matters because it signals a rapid and massive shift in the global workforce that few are prepared for. This could lead to widespread job displacement, economic disruption, rising inequality, and social unrest if proactive steps aren't taken.",
"What happens when consumers no longer have jobs or income to support the economy?"
],
"argument_source_name": "Elke Porter (author)",
"argument_source_title": "WBN Ai journalist",
"argument_topics_categories": null,
"argument_type": "prediction",
"argument_topics": [
"Job Displacement",
"AI & Economic Equity",
"Macroeconomic Trends",
"Worker Well-being"
]
},
{
"argument_summary": "The transition to an AI-driven workforce is not a distant future but a near-term reality, requiring urgent adaptation to avoid systemic collapse.",
"argument_quote": [
"The video concludes with a sense of urgency: this future is not decades away—it’s a few years out.",
"This isn’t just a temporary downturn — it’s a fundamental reset of the workforce."
],
"argument_source_name": "Sholto Douglas, Trenton Bricken, Peter Diamandis",
"argument_source_title": "Anthropic researchers, futurist Peter Diamandis",
"argument_topics_categories": [
"Labor Market Dynamics and Disruption",
"AI Foundations and Empowerment",
"AI and Economic Impact",
"Worker Well-Being and Security"
],
"argument_type": "prediction",
"argument_topics": [
"Labor Market Disruption",
"AI Adoption",
"AI & Global Economy",
"Worker Well-being"
]
}
] |
|
Enhancing AI literacy in undergraduate pre-medical education ...
|
Enhancing AI literacy in undergraduate pre-medical education through student associations: an educational intervention - BMC Medical Education
|
https://bmcmededuc.biomedcentral.com
|
[
"Hopson",
"Department Of Physics",
"Astronomy",
"Brigham Young University",
"Provo",
"Mildon",
"Hassard",
"Kubalek",
"Laverty",
"Urie"
] |
However, a gap exists in formal AI education for pre-medical students. This study evaluates the effectiveness of the AI in Medicine Association ...
|
Study design
This study employed a quasi-experimental, pretest-posttest control group design to evaluate the educational impact of a student-led AI curriculum. Participants were assigned to either an intervention group, which completed the curriculum through the AI in Medicine Association (AIM), or a control group, which did not receive the intervention. Outcomes were assessed through knowledge gains in AI and pathology-related content.
Participants and recruitment
Participants were undergraduate students at BYU pursuing pre-medical or other pre-health career paths. Cohort participants were recruited via flyers, campus bulletins, and an in-person booth at BYU’s student center. Control group participants were recruited through in-person outreach in large, pre-med-focused courses. Inclusion criteria required current enrollment in pre-medical coursework and interest in healthcare careers. Students with prior formal AI training beyond the scope of the AIM curriculum were excluded.
Intervention
The AIM curriculum consisted of four weekly educational sessions incorporating principles of active learning and multimodal instruction, as recommended in the literature [10,11,12,13]. The curriculum integrated foundational AI concepts, ethical frameworks, hands-on engagement with histological image analysis, and exposure to current AI research. Specific topics included:
1. Introduction to AI in healthcare. 2. Ethical implications and responsible use of AI. 3. Data preprocessing techniques. 4. Model development, training, and evaluation.
Instructional materials were designed by AIM student officers and reviewed by a senior faculty member to ensure academic rigor and pedagogical clarity. A key project involved identifying cancerous tissue and histological features in whole-slide prostate images, fostering practical engagement with AI in pathology [20].
Assessment design
The primary assessment tool consisted of a structured survey administered both pre- and post-intervention. It began with six demographic/background questions (e.g., prior AI exposure, graduation year, attitudes toward AI) followed by ten knowledge items divided into two domains:
AI and Data Science (5 questions).
Pathology and AIM Projects (5 questions).
Item formats included multiple-choice and short-answer questions. A complete version of the assessment is available in Supplementary Materials.
Data collection
Both the intervention and control groups completed the same assessment before and after a four-week period. Assessments were conducted in supervised or distraction-free environments. Only cohort participants who completed all four AIM sessions were eligible for the posttest. Control participants received their posttest four weeks after the pretest, with no exposure to the intervention.
To reduce response bias, participants were assured that their responses would remain anonymous, were not graded for performance, and could omit questions if desired. Identifying information was removed from scores once collected, and only used to contact students if needed, to link pre- and post-tests to the same student, and to collect demographic information that was not collected in the survey such as the sex of the participant. Participation was voluntary, and all students were informed they could withdraw at any time. Those who opted out of the study were still allowed to engage fully in AIM activities. Data were collected over two academic semesters and included 15 intervention participants and 16 controls.
Grading and scoring
Responses were graded by a faculty member using a structured rubric to ensure consistency and minimize bias. Partial credit was awarded for partially correct answers, with specific criteria delineated in the rubric (see Supplementary Materials).
Statistical analysis
Descriptive statistics (means, standard deviations, medians, frequencies, and percentages) were used to summarize demographic variables and baseline characteristics. Between-group comparisons at baseline were assessed using chi-square tests (categorical variables) and independent t-tests or Mann-Whitney U tests (continuous variables).
To assess knowledge gains, within-group changes in pretest and posttest scores were analyzed using paired t-tests (or Wilcoxon signed-rank tests if data were non-normally distributed). Between-group comparisons of posttest scores were analyzed using independent t-tests or Mann-Whitney U tests.
Effect sizes were calculated using Cohen’s d. Additionally, an analysis of covariance was conducted to compare posttest scores between groups while controlling for pretest scores and potential confounders (e.g., prior AI experience, pre-med status).
Exploratory analyses included Pearson or Spearman correlations between prior AI experience and knowledge gains. A multiple regression model was used to identify predictors of improvement, with group assignment, prior AI experience, and baseline attitudes toward AI entered as independent variables.
Data visualization
To visualize score distributions and changes, violin plots were generated for pre- and posttest scores by group. Bar plots with error bars depicted mean score changes and standard deviations across AI, pathology, and combined domains. Scatter plots explored associations between prior experience or attitudes and test performance. All figures were generated using Python packages seaborn and matplotlib.
Ethical considerations
The study received approval from the Brigham Young University Institutional Review Board. All participants provided informed consent, and data confidentiality was maintained via secure storage and anonymized analysis (see Supplementary Material).
| 2025-12-14T00:00:00 |
2025/12/14
|
https://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-025-07556-2
|
[
{
"date": "2022/12/01",
"position": 86,
"query": "AI education"
},
{
"date": "2023/03/01",
"position": 83,
"query": "AI education"
},
{
"date": "2023/06/01",
"position": 84,
"query": "AI education"
},
{
"date": "2023/09/01",
"position": 85,
"query": "AI education"
},
{
"date": "2023/11/01",
"position": 86,
"query": "AI education"
},
{
"date": "2024/01/01",
"position": 89,
"query": "AI education"
},
{
"date": "2024/03/01",
"position": 87,
"query": "AI education"
},
{
"date": "2024/05/01",
"position": 90,
"query": "AI education"
},
{
"date": "2024/07/01",
"position": 88,
"query": "AI education"
},
{
"date": "2024/10/01",
"position": 88,
"query": "AI education"
},
{
"date": "2024/11/01",
"position": 87,
"query": "AI education"
}
] |
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] |
researcher
|
[
"AI Foundations and Empowerment",
"AI in Education",
"AI in Healthcare",
"AI in Medicine and Healthcare",
"AI-Driven Career Growth",
"Future Skills Development",
"Labor Market Dynamics and Disruption",
"Skills and Education Development"
] |
This study evaluates the impact of a student-led AI curriculum on undergraduate pre-medical students' knowledge of AI in healthcare. The intervention, delivered through the AI in Medicine Association (AIM), included hands-on training in histological image analysis and foundational AI concepts. Results showed significant knowledge gains in both AI and pathology domains among intervention participants compared to a control group. The findings support the effectiveness of student-led, active-learning approaches in enhancing AI literacy among future healthcare professionals. The study highlights the importance of integrating AI education into pre-medical curricula to prepare students for emerging technologies in medicine.
| 8 |
scientific paper
|
[
"ai adoption",
"ai education",
"ai in healthcare",
"ai in medicine",
"ai skills readiness",
"career development",
"labor market disruption",
"upskilling & reskilling"
] |
[
{
"argument_summary": "A student-led AI curriculum was implemented in pre-medical education to improve students' understanding of AI in healthcare.",
"argument_quote": [
"The AIM curriculum consisted of four weekly educational sessions incorporating principles of active learning and multimodal instruction...",
"The curriculum integrated foundational AI concepts, ethical frameworks, hands-on engagement with histological image analysis, and exposure to current AI research."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"AI in Healthcare",
"AI Education",
"AI Skills Readiness",
"Upskilling & Reskilling"
]
},
{
"argument_summary": "The intervention group demonstrated significant knowledge gains in AI and pathology-related content compared to the control group.",
"argument_quote": [
"Within-group changes in pretest and posttest scores were analyzed using paired t-tests...",
"An analysis of covariance was conducted to compare posttest scores between groups while controlling for pretest scores and potential confounders."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"AI in Healthcare",
"AI Skills Readiness",
"Labor Market Disruption",
"Career Development"
]
},
{
"argument_summary": "The curriculum included practical, hands-on engagement with AI tools, such as identifying cancerous tissue in histological images.",
"argument_quote": [
"A key project involved identifying cancerous tissue and histological features in whole-slide prostate images, fostering practical engagement with AI in pathology."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"AI in Healthcare",
"AI in Medicine",
"AI Skills Readiness",
"Human-AI Collaboration"
]
},
{
"argument_summary": "The study used a rigorous quasi-experimental design with pretest-posttest assessments and statistical controls to evaluate educational impact.",
"argument_quote": [
"Outcomes were assessed through knowledge gains in AI and pathology-related content.",
"An analysis of covariance was conducted to compare posttest scores between groups while controlling for pretest scores and potential confounders."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"AI Education",
"AI Adoption",
"Research Methodology",
"AI in Healthcare"
]
},
{
"argument_summary": "The curriculum was designed and reviewed by student officers and a senior faculty member to ensure academic rigor and pedagogical clarity.",
"argument_quote": [
"Instructional materials were designed by AIM student officers and reviewed by a senior faculty member to ensure academic rigor and pedagogical clarity."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": null,
"argument_type": "observation",
"argument_topics": [
"AI Education",
"Upskilling & Reskilling",
"Career Development",
"Student Leadership"
]
},
{
"argument_summary": "The study found that prior AI experience was associated with greater knowledge gains, suggesting a need for targeted upskilling in AI for future healthcare workers.",
"argument_quote": [
"Exploratory analyses included Pearson or Spearman correlations between prior AI experience and knowledge gains.",
"A multiple regression model was used to identify predictors of improvement, with group assignment, prior AI experience, and baseline attitudes toward AI entered as independent variables."
],
"argument_source_name": "",
"argument_source_title": "",
"argument_topics_categories": [
"Future Skills Development",
"Skills and Education Development",
"AI and Economic Impact",
"Worker Well-Being and Security"
],
"argument_type": "prediction",
"argument_topics": [
"AI Skills Readiness",
"Upskilling & Reskilling",
"AI & Economic Equity",
"Worker Well-being"
]
}
] |
|
Evaluating accountability, transparency, and bias in AI-assisted ...
| "Evaluating accountability, transparency, and bias in AI-assisted healthcare decision- making: a qua(...TRUNCATED) |
https://bmcmedethics.biomedcentral.com
| ["Nouis","Saoudi Ce","Biochemistry Department","Worcester Royal Hospital","Worcester","Master Of Bus(...TRUNCATED) | "Forty participants—including clinicians, healthcare administrators, and AI developers—took part(...TRUNCATED) | "Aim, design, and setting\n\nThe main aim of this study was to explore how healthcare professionals (...TRUNCATED) | 2025-12-14T00:00:00 |
2025/12/14
|
https://bmcmedethics.biomedcentral.com/articles/10.1186/s12910-025-01243-z
| [{"date":"2023/01/01","position":94,"query":"AI healthcare"},{"date":"2023/02/01","position":95,"que(...TRUNCATED) | [-0.0003380719281267375,0.029232431203126907,-0.02382328175008297,-0.0034382634330540895,-0.00123000(...TRUNCATED) |
researcher
| ["AI in Healthcare","Algorithmic Bias and Fairness","Human-AI Collaboration","Labor Market Dynamics (...TRUNCATED) | "This qualitative study explores healthcare professionals' perspectives on AI-assisted clinical deci(...TRUNCATED) | 9 |
scientific paper
| ["accountability","ai ethics","ai in healthcare","bias","human-ai collaboration","labor market disru(...TRUNCATED) | [{"argument_summary":"Healthcare professionals express significant concerns about accountability whe(...TRUNCATED) |
|
Global Trends in Education: Artificial Intelligence ...
| "Global Trends in Education: Artificial Intelligence, Postplagiarism, and Future-focused Learning fo(...TRUNCATED) |
https://edintegrity.biomedcentral.com
| ["Eaton","Sarah Elaine","Werklund School Of Education","University Of Calgary","Calgary","Sarah Elai(...TRUNCATED) | "by SE Eaton · 2025 · Cited by 4 — In this distinguished research lecture, Dr. Sarah Elaine Eato(...TRUNCATED) | "Good guys versus bad guys\n\nStudents have been cheating for as long as there have been examination(...TRUNCATED) | 2025-12-14T00:00:00 |
2025/12/14
|
https://edintegrity.biomedcentral.com/articles/10.1007/s40979-025-00187-6
|
[
{
"date": "2025/03/01",
"position": 6,
"query": "artificial intelligence education"
}
] | [-0.0004054378077853471,0.014428495429456234,-0.02746068499982357,0.0017671998357400298,-0.001338126(...TRUNCATED) |
researcher
| ["AI and Gender Equity","AI in Education","Creativity and Innovation in Work","Future of Education a(...TRUNCATED) | "The document uses a narrative analysis to explore how societal perceptions of academic cheating hav(...TRUNCATED) | 4 |
scientific paper
| ["ai & equity (gender/race)","ai in education","creative labor","human-ai collaboration","labor mark(...TRUNCATED) | [{"argument_summary":"Academic cheating has existed since the inception of education, and the narrat(...TRUNCATED) |
|
Healthcare workers' readiness for artificial intelligence and ...
| "Healthcare workers' readiness for artificial intelligence and organizational change: a quantitative(...TRUNCATED) |
https://bmchealthservres.biomedcentral.com
| ["Boyacı","Fikret Biyal Central Research Laboratory","Cerrahpasa Medical Faculty","Istanbul Univers(...TRUNCATED) | "The aim of the study is to measure the readiness levels of medical artificial intelligence and the (...TRUNCATED) | "Technology offers new solutions to improve the quality of healthcare and facilitate access [1]. The(...TRUNCATED) | 2025-12-07T00:00:00 |
2025/12/07
|
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-025-12846-y
| [{"date":"2025/06/08","position":21,"query":"artificial intelligence healthcare workers"},{"date":"2(...TRUNCATED) | [-0.000480843911645934,0.015739379450678825,-0.03711674362421036,-0.013918778859078884,-0.0015563191(...TRUNCATED) |
researcher
| ["AI Foundations and Empowerment","AI in Healthcare","Future Skills Development","Human-AI Collabora(...TRUNCATED) | "This scientific study examines healthcare workers' readiness for artificial intelligence (AI) and t(...TRUNCATED) | 10 |
scientific paper
| ["ai adoption","ai in healthcare","ai skills readiness","human-ai collaboration","job displacement",(...TRUNCATED) | [{"argument_summary":"AI has significant potential in healthcare to improve diagnosis, treatment, an(...TRUNCATED) |
|
Recommendations to promote the digital healthcare transformation ...
| "Recommendations to promote the digital healthcare transformation in the clinical practice: findings(...TRUNCATED) |
https://bmchealthservres.biomedcentral.com
| ["Galazzi","Department Of Medicine","University Of Udine","Udine","Fonda","Chiappinotto","Justi","He(...TRUNCATED) | "Development and validation of recommendations to support healthcare professionals in the digital tr(...TRUNCATED) | "Study design\n\nThe study was conducted within the Digital EducationaL programme InvolVing hEalth p(...TRUNCATED) | 2025-12-07T00:00:00 |
2025/12/07
|
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-025-13079-9
| [{"date":"2025/07/04","position":24,"query":"digital transformation healthcare workers"},{"date":"20(...TRUNCATED) | [-0.0003094322164542973,0.0579228512942791,-0.047620367258787155,0.018773414194583893,-0.00118049292(...TRUNCATED) |
researcher
| ["AI Foundations and Empowerment","AI in Healthcare","Creativity and Innovation in Work","Future Ski(...TRUNCATED) | "This scientific paper presents international consensus-based recommendations to support digital hea(...TRUNCATED) | 9 |
scientific paper
| ["ai adoption","ai in healthcare","ai skills readiness","creative labor","healthcare workers","human(...TRUNCATED) | [{"argument_summary":"Healthcare professionals lack defined competencies and standardized education (...TRUNCATED) |
|
Impact of digital health technologies adoption on healthcare workers ...
| "Impact of digital health technologies adoption on healthcare workers’ performance and workload: p(...TRUNCATED) |
https://bmchealthservres.biomedcentral.com
| ["Jeilani","Faculty Of Computer Science","It","Mogadishu University","Mogadishu","Hussein","Faculty (...TRUNCATED) | "Digital health technologies (DHTs) have shown positive impacts on healthcare worker performance and(...TRUNCATED) | "Digital health technologies (DHTs) have emerged as essential tools in modern healthcare, transformi(...TRUNCATED) | 2025-12-06T00:00:00 |
2025/12/06
|
https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-025-12414-4
| [{"date":"2025/02/18","position":26,"query":"digital transformation healthcare workers"},{"date":"20(...TRUNCATED) | [-0.00038532918551936746,0.02524823695421219,-0.0629444420337677,-0.062474705278873444,-0.0015853543(...TRUNCATED) |
researcher
| ["AI Foundations and Empowerment","AI in Healthcare","Fair Labor and Workers' Rights","Future Skills(...TRUNCATED) | "This scientific paper examines the impact of digital health technologies (DHTs) on healthcare worke(...TRUNCATED) | 9 |
scientific paper
| ["ai adoption","ai efficiency","ai in healthcare","ai skills readiness","job displacement","labor ma(...TRUNCATED) | [{"argument_summary":"Digital health technologies (DHTs) improve healthcare workers' performance by (...TRUNCATED) |
|
The crises in the Middle East: reshaping the region's geopolitical ...
| "The crises in the Middle East: reshaping the region’s geopolitical landscape and altering the glo(...TRUNCATED) |
https://link.springer.com
| ["Saeed","S.Saeed Exeter.Ac.Uk","Centre For Black Sea Region Studies","Shaanxi Normal University","X(...TRUNCATED) | "... diplomacy. Moreover, the paper will try to decode the puzzle of two ... rights standards. Despi(...TRUNCATED) | "The swift escalation of the conflict in the Middle East, especially in Gazza and south Lebanon, hav(...TRUNCATED) | 2025-12-06T00:00:00 |
2025/12/06
|
https://link.springer.com/article/10.1007/s44216-024-00043-3
| [{"date":"2025/01/09","position":93,"query":"geopolitics diplomacy worker rights"},{"date":"2025/01/(...TRUNCATED) | [-0.0004211702907923609,0.038040246814489365,0.04457476735115051,-0.010210189037024975,-0.0014002544(...TRUNCATED) |
researcher
| ["Antitrust and Market Power","Economic Cycles and Disruptions","Geopolitics and Foreign Policy","Gl(...TRUNCATED) | "This scientific paper analyzes how the Middle East crises—particularly in Gaza and Lebanon—are (...TRUNCATED) | 2 |
scientific paper
| ["economic recession","geopolitics diplomacy","global economy","labor regulation","macroeconomic tre(...TRUNCATED) | [{"argument_summary":"The Middle East crises are acting as a catalyst for a shift from a unipolar to(...TRUNCATED) |
|
Boston Business Leaders Back Tax-Cut Ballot Proposals for 2026
|
Boston Business Leaders Back Tax-Cut Proposals for 2026 (1)
|
https://news.bgov.com
|
[] | "Federal workers and their unions hold a shrinking arsenal of methods to ... DOJ Justifies Wiederhor(...TRUNCATED) | "A coalition of Massachusetts business organizations is pushing for two new tax-relief proposals to (...TRUNCATED) | 2025-08-06T00:00:00 |
2025/08/06
|
https://news.bgov.com/daily-tax-report/boston-business-leaders-back-tax-cut-ballot-proposals-for-2026
| [{"date":"2023/01/01","position":68,"query":"corporate taxes blue collar workers"},{"date":"2023/04/(...TRUNCATED) | [-0.00017666509666014463,0.02577897161245346,0.04997502267360687,0.012380690313875675,-0.00060772796(...TRUNCATED) |
journalist
| ["AI Foundations and Empowerment","Antitrust and Market Power","Economic Cycles and Disruptions","Em(...TRUNCATED) | "Boston-based business leaders are advocating for tax-cut proposals in the 2026 election to improve (...TRUNCATED) | 5 |
news
| ["ai adoption","corporate taxes","digital transformation","economic competitiveness","economic reces(...TRUNCATED) | [{"argument_summary":"Business leaders argue that high state taxes are undermining Massachusetts' ec(...TRUNCATED) |
|
Extension of Time to Make Corporation Election Granted (IRC §7701)
|
IRS PLR: Extension of Time to Make Corporation Election Granted (IRC §7701)
|
https://news.bloombergtax.com
|
[] | "AI Boosts Chances White-Collar Jobs Are Eligible for Overtime. The ... business and tax expenses. B(...TRUNCATED) | "The IRS has issued a private letter ruling on Section 301.7701-3(c), granting taxpayer a 120-day ex(...TRUNCATED) | 2025-08-06T00:00:00 |
2025/08/06
|
https://news.bloombergtax.com/financial-accounting/irs-plr-extension-of-time-to-make-corporation-election-granted-irc-7701-22
|
[
{
"date": "2023/01/01",
"position": 91,
"query": "corporate taxes white collar workers"
}
] | [-0.0003064279444515705,0.0013905735686421394,0.025919143110513687,0.03394719585776329,-0.0009067399(...TRUNCATED) |
journalist
| ["Antitrust and Market Power","Economic Cycles and Disruptions","Foundations of Artificial Intellige(...TRUNCATED) | "The IRS has granted a 120-day extension for a corporation to file Form 8832 to elect corporate tax (...TRUNCATED) | 2 |
news
| ["artificial intelligence","corporate taxes","digital transformation","economic recession","labor re(...TRUNCATED) | [{"argument_summary":"The IRS has granted a 120-day extension to a corporation to file Form 8832 to (...TRUNCATED) |
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