aceEvidence-backed problem
Women Are 26% Of AI Hires. That's A Design Flaw, Not A Shortage
New LinkedIn data shows women are just 26% of AI hires. The gender gap in AI is a design flaw, and almost no one's compensation depends on fixing it.
Labor
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Evidence-backed gain
Technology-Enabled Interventions for Preventing and Responding to Elder Abuse: A Review of the Current Evidence
This scoping review consolidates existing technology-enabled interventions for preventing and responding to abuse of older people (AOP). Studies reporting original, evaluated interventions in which technology delivered over 50% of the content or enabled coordination were included. Ten primary databases, four gray literature sources, and two artificial intelligence‑assisted platforms were searched for articles published between January 1, 2013 and December 31, 2024. Two reviewers independently assessed study qual…
Evidence-backed gain
Moral distress risk profiling in ICU nurses: A cross-sectional study
BackgroundMoral distress is common among ICU nurses and has been linked to burnout, diminished care quality, and turnover. Which factors matter most - and how they combine to shape individual risk - remains poorly characterised.Research objectiveTo identify factors associated with moral distress in ICU nurses and develop a parsimonious, exploratory risk-profiling model.Research designMulticentre cross-sectional survey with machine learning analysis.Participants and research contextA total of 318 registered nurse…
Evidence-backed problem
Lost jobs, inequality, rogue agents: why are we accepting oligarchs’ AI agenda? | Robert Reich
Rather than producing jobs, the US economy actually lost 23,000 jobs in July, according to Bureau of Labor Statistics data released on Friday. In addition, May and June’s job numbers were revised downward, showing a combined 103,000 fewer jobs than previously reported. As if this weren’t bad enough, wage growth has also slowed. Average hourly earnings rose by just 0.1% from June. This isn’t just a single month’s slow wage growth, either. Average hourly earnings increased just 3.2% over the past year – the lowest…
Evidence-backed problem
AI was supposed to destroy jobs. Where’s the carnage?
The prediction was stark: artificial intelligence advancements would wipe out jobs en masse. “Half” of all entry-level white collar jobs would vanish, Anthropic’s CEO, Dario Amodei, said in May 2025. A month later, OpenAI’s CEO, Sam Altman, went further, foreseeing the end of “certain job categories”. Companies began citing AI in their layoffs. Workers organized. And students reconsidered their future careers. But a year later, the mass carnage hasn’t shown up. Even as AI capabilities have rapidly advanced and A…
Evidence-backed problem
UK ad agencies undergo their biggest exodus of staff as AI threatens industry
UK advertising agencies had their biggest annual exodus of staff last year, led by younger workers, as artificial intelligence tools threaten to replace workers and force the industry to cut jobs and costs. Staff numbers at creative agencies, which are facing acute pressure from the rollout of AI tools that reduce or even replace the need for agency staff, fell more than 14% in 2025. The Institute of Practitioners in Advertising (IPA), which has been reporting on staffing in the UK ad industry since 1959, said i…
Evidence-backed problem
What If We Got AI Right? by Eleanor Drage review – avoiding apocalypse
The AI ethicist Eleanor Drage believes that to thrive alongside artificial intelligence, humans need to recognise AI’s “humanity”. She means that while we often speak of AI as though it were some mystical, formless thing, it is the product of hours of human labour, in silicon and quartz mines, microchip factories and data labelling centres. If citizens want to wrest power from the tech companies that are building AI, it helps to understand clearly what they are selling us. This also means seeing through the mark…
The AI jobs apocalypse probably isn’t coming anytime soon
In March, Anthropic, the cutting-edge artificial intelligence business that gave us the chatbot Claude, published an analysis on the impact of AI on employment, to help us assess the claim that intelligent robots were about to redefine human existence, ending demand for human labor. Last year in May, Anthropic’s co-founder, Dario Amodei, claimed AI could wipe out half of all entry-level jobs in one to five years. Last January, he told us AI would probably become a “general labor substitute for humans”. In June h…
‘Customers prefer AI chatbots,’ says British Gas owner as 1,300 call centre jobs axed
The owner of British Gas has claimed that most households would rather speak with an AI chatbot than deal with the company’s staff as it prepares to cut 1,300 jobs from its call centres. Centrica, the supplier’s FTSE 100 owner, plans to cut 800 jobs as the company carries out a “targeted deployment of AI tools”, on top of the 500 cuts it confirmed last month. The plan to reduce the supplier’s customer service teams in Glasgow, Edinburgh, Cardiff, Leicester, Stockport and Leeds by 14% is expected to take place ov…
Evidence of a social evaluation penalty for using AI
Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further,…
AI and employee wellbeing in the workplace: An empirical study
The integration of artificial intelligence (AI) in workplace settings significantly affects employees, particularly their wellbeing. Despite its growing relevance, the impact of AI on employee wellbeing remains underexplored. To address this gap, we conducted a survey and employed structural equation modeling to analyze data from Finnish and international companies headquartered in Finland (n = 207). We found that AI adoption does not directly impact employee wellbeing but indirectly influences it through work-r…
The impact of AI literacy on work–life balance and job satisfaction among university faculty: a self-determination theory perspective
Introduction: The emergence of artificial intelligence (AI) is transforming the nature of academic work, yet the role of AI literacy in supporting faculty well-being remains underexplored. This study investigates how AI literacy influences university faculty's work-life balance and job satisfaction through the satisfaction of three basic psychological needs. Methods: Survey data were collected from 511 faculty members. Measures included AI literacy, perceived autonomy, perceived competence, perceived relatedness…
GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
We introduce GDPval, a benchmark evaluating AI model capabilities on realworld economically valuable tasks. GDPval covers the majority of U.S. Bureau of Labor Statistics Work Activities for 44 occupations across the top 9 sectors contributing to U.S. GDP (Gross Domestic Product). Tasks are constructed from the representative work of industry professionals with an average of 14 years of experience. We find that frontier model performance on GDPval is improving roughly linearly over time, and that the current best…
The Health-Wealth Gradient in Labor Markets: Integrating Health, Insurance, and Social Metrics to Predict Employment Density
Labor market forecasting relies heavily on economic time-series data, often overlooking the “health–wealth” gradient that links population health to workforce participation. This study develops a machine learning framework integrating non-traditional health and social metrics to predict state-level employment density. Methods: We constructed a multi-source longitudinal dataset (2014–2024) by aggregating county-level Quarterly Census of Employment and Wages (QCEW) data with County Health Rankings to the state lev…
AI job worries grow. But some human skills can’t be replaced by machines | Gaynor Parkin and Dave Winsborough
Earlier this year Paul* discovered via a flurry of media stories that his business group had been targeted for job cuts, alongside a number of other public-sector agencies. For him, this was the second time, after his technical management role was restructured in 2024. While that process was difficult enough, the comms this time were highlighting the integration of AI as a cost-saving tool. “They say it’s not about firing people, but hey, my whole team will go.” For Paul, the timing could not have been worse. He…
