The AI Layoff Trap: Automation Arms Race
arXiv (Wharton)
Wharton arXiv paper: AI layoff trap — companies automate karne ki race mein collective action problem create kar rahi hain jo backfire ho sakta hai.
दुनिया भर की सरकारें और संस्थान AI के नौकरियों पर प्रभाव को कैसे संबोधित कर रहे हैं, इसे ट्रैक करें।
जनवरी 2025 के बाद का डेटा
arXiv (Wharton)
Wharton arXiv paper: AI layoff trap — companies automate karne ki race mein collective action problem create kar rahi hain jo backfire ho sakta hai.
Anthropic
Anthropic Economic Index March 2026: 49% jobs mein 25%+ tasks AI se ho rahe hain. Learning curves dikhati hain ki early adopters aage nikal rahe hain.
Anthropic
Anthropic internal data: engineers apne 59% kaam mein AI use karte hain. Actual usage patterns vs external estimates ka farq dikhata hai.
Brookings (Acemoglu, Autor, Johnson)
Acemoglu, Autor, Johnson (Brookings): teen leading economists ka argument — current AI development path workers ko harm karti hai.
Stanford HAI + Indeed
Stanford HAI + Indeed data: AI hiring surge kar rahi hai jabki non-AI hiring stall — two-track labor market ban raha hai.
Harvard Business Review + IBM
IBM ne entry-level hiring triple ki jabki competitors cut kar rahe the. Contrarian AI workforce strategy par HBR case study.
Dallas Federal Reserve + HBR
HBR + Dallas Fed synthesis: AI workers ko alag-alag channels se simultaneously help aur hurt karti hai — productivity vs displacement.
Stanford + Harvard
Stanford-Harvard study: AI expertise gaps bridge nahi kar sakti. 8-month field study mein AI existing skill differences ko amplify karti hai.
Dallas Federal Reserve
Dallas Fed data: tech mein youth employment 2022 early se decline ho rahi hai — ChatGPT launch se months pehle se.
Brookings Institution
Brookings 33-month analysis: AI se mass unemployment nahi aayi, lekin specific sectors mein warning signs dikh rahe hain.
Brookings Institution
Brookings meta-analysis: AI labor research abhi shuruat mein hai — zyada tar claims evidence se aage hain.
Andrej Karpathy / Fortune
Karpathy (ex-OpenAI) ne har US job ko AI exposure ke liye score kiya. White-collar professionals sabse zyada vulnerable.
ILO
ILO flagship report: global unemployment 186M, AI productivity gains ke bawajood job recovery nahi ho rahi. 408M logon ke paas adequate work nahi.
Brookings Institution
Brookings ne historical retraining programs ka analysis kiya — displaced workers ke liye success rates limited hain.
ILO
ILO refined index 138 countries: occupational segregation patterns ke karan women ko 2x automation risk.
Brookings Institution
Brookings: 6.1M US workers high AI exposure lekin adapt karne ki capacity low — structural vulnerability mapping.
Economic Innovation Group
EIG study: AI-youth-jobs narrative ko challenge karti hai — employment decline ke non-AI causes hain jaise post-pandemic corrections.
Anthropic
Anthropic India Brief: duniya ka 2nd largest AI user base lekin per-capita adoption mein 101st — scale vs depth gap.
Challenger, Gray & Christmas
Challenger report: Jan-Feb 2026 mein 12,304 AI-related job cuts, hiring plans 56% year-over-year gire.
Harvard Business Review
HBR 8-month field study: AI workload reduce karne ki jagah work intensity badha rahi hai — productivity paradox.
Brookings Institution
Brookings freelance market study: high-skilled freelancers ko AI se sabse zyada hit — low-skill displacement narrative ko contradict karta hai.
arXiv (Payrolls to Prompts)
arXiv study: companies freelance budgets se har dollar cut ke liye AI par sirf 3 cents kharch kar rahi hain — substitution incomplete hai.
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 AI potential ke basis par layoff kar rahe hain, demonstrated performance par nahi. 50 mein se sirf 1 AI investment transformative.
Anthropic
Anthropic Economic Index: actual AI productivity gain 1.0% hai, headline 1.8% nahi — zyada tar usage augmentation hai, automation nahi.
University of Pittsburgh + RAND
Pittsburgh/RAND study 10.5M LinkedIn profiles: AI-exposed jobs ChatGPT launch se 8-10 months pehle se deteriorate hone lage the.
PwC
PwC barometer: AI-exposed jobs mein 4x productivity gains aur non-exposed roles ke comparison mein 56% wage premium.
Bureau of Labor Statistics
BLS ne pehli baar 2024-34 official employment projections mein AI impacts ko incorporate kiya — methodology shift.
Stanford HAI
Stanford HAI AI Index 2025: countries ke beech AI adoption rates vs unemployment trends ka comprehensive cross-country analysis.
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.