The AI Layoff Trap: Automation Arms Race
arXiv (Wharton)
Wharton arXiv paper: AI layoff trap โ companies racing to automate create collective action problem that could backfire.
Track how governments and institutions worldwide are responding to AI's impact on jobs.
Data from January 2025 onwards
arXiv (Wharton)
Wharton arXiv paper: AI layoff trap โ companies racing to automate create collective action problem that could backfire.
Anthropic
Anthropic Economic Index March 2026: 49% of jobs now use AI for 25%+ of tasks. Learning curves show early adopters pulling ahead.
Anthropic
Anthropic internal data: engineers use AI for 59% of their work. Reveals actual usage patterns vs external estimates.
Brookings (Acemoglu, Autor, Johnson)
Acemoglu, Autor, Johnson (Brookings): three leading economists argue current AI development path harms workers.
Stanford HAI + Indeed
Stanford HAI + Indeed data: AI hiring surges while non-AI hiring stalls, creating a two-track labor market.
Harvard Business Review + IBM
IBM triples entry-level hiring while competitors cut. HBR case study on contrarian AI workforce strategy.
Dallas Federal Reserve + HBR
HBR + Dallas Fed synthesis: AI simultaneously helps and hurts workers through different channels โ productivity vs displacement.
Stanford + Harvard
Stanford-Harvard study: AI cannot bridge expertise gaps. 8-month field study shows AI amplifies existing skill differences.
Dallas Federal Reserve
Dallas Fed data shows youth employment in tech declining since early 2022, months before ChatGPT launch.
Brookings Institution
Brookings 33-month analysis shows no mass AI unemployment yet, but identifies emerging warning signs in specific sectors.
Brookings Institution
Brookings meta-analysis argues AI labor research is in its earliest stages โ most claims outrun the evidence.
Andrej Karpathy / Fortune
Karpathy (ex-OpenAI) scores every US job for AI exposure. White-collar professionals show highest vulnerability.
ILO
ILO flagship report: global unemployment at 186M, AI paradox of productivity gains without job recovery. 408M lack adequate work.
Brookings Institution
Brookings examines historical retraining programs and finds limited success rates for displaced workers.
ILO
ILO refined index across 138 countries: women face 2x automation risk due to occupational segregation patterns.
Brookings Institution
Brookings measures 6.1M US workers with high AI exposure but low capacity to adapt โ structural vulnerability mapping.
Economic Innovation Group
EIG study challenges AI-youth-jobs narrative: employment decline has non-AI causes including post-pandemic corrections.
Anthropic
Anthropic India Brief: worlds 2nd largest AI user base but 101st in per-capita adoption โ the scale vs depth gap.
Challenger, Gray & Christmas
Challenger reports 12,304 AI-cited job cuts in Jan-Feb 2026 while hiring plans fell 56% year-over-year.
Harvard Business Review
HBR 8-month field study finds AI increases work intensity rather than reducing workload โ the productivity paradox.
Brookings Institution
Brookings freelance market study: high-skilled freelancers hardest hit by AI, contradicting low-skill displacement narrative.
arXiv (Payrolls to Prompts)
arXiv study: firms spend just 3 cents on AI for every dollar cut from freelance budgets โ substitution is incomplete.
arXiv
Analyzes 9,978 Egyptian job postings using knowledge graphs. Finds 20.9% of jobs face high automation risk, but only 24.4% of at-risk workers have viable transition pathways. 75.6% face structural barriers requiring comprehensive reskilling, not incremental upskilling. Process-oriented skills appear in 15.6% of feasible transitions.
Harvard Business Review
HBR analysis: CEOs are laying off workers based on AI potential, not demonstrated performance. Only 1 in 50 AI investments are transformative.
Anthropic
Anthropic Economic Index: actual AI productivity gain is 1.0%, not the 1.8% headline โ most usage is augmentation, not automation.
University of Pittsburgh + RAND
Pittsburgh/RAND study of 10.5M LinkedIn profiles: AI-exposed jobs deteriorated 8-10 months before ChatGPT launch.
PwC
PwC barometer finds AI-exposed jobs show 4x productivity gains and 56% wage premium over non-exposed roles.
Bureau of Labor Statistics
BLS incorporates AI impacts into official 2024-34 employment projections for the first time โ methodology shift.
Stanford HAI
Stanford HAI AI Index 2025: comprehensive cross-country analysis of AI adoption rates vs unemployment trends.
arXiv
Studies 2015-2022 US data using instrumental variables. Finds automation AI negatively impacts new work, employment, and wages in low-skilled occupations, while augmentation AI fosters new work and raises wages for high-skilled occupations. Concludes AI may accelerate existing wage inequality.