Insights
Original data visualizations and analysis. We cross-reference thousands of news articles, task-level AI risk scores, and government labor data to surface what others miss.
Labor Market by AI Exposure
BLS JOLTS data — layoffs, hires, and quits rates by industry, grouped into AI-exposure tiers. The Information sector's layoff rate is running multiples above the national average. Refreshed monthly.
The AI Anxiety Index
Media hype vs. actual job displacement risk. An interactive bubble chart cross-referencing article coverage from 124 sources with task-level risk scores and BLS employment data.
Jobs the Media Covers
Sankey diagram showing which industries and jobs dominate AI displacement coverage across 124 news sources.
The Displacement Domino Effect
Network graph showing which jobs get discussed together in AI displacement coverage. When one job in a cluster gets automated, the whole ecosystem follows.
What Firms Expect to Cut Next
McKinsey surveyed executives on AI-driven headcount plans. Every business function is net-negative for headcount over the next year. Service operations leads with 29 net points of expected cuts. Source: McKinsey 2025 via Stanford AI Index 2026.
The 50-Point Gap
73% of U.S. AI experts expect AI to positively impact jobs. 23% of the U.S. public agrees. The largest perception gap in Pew's 2024 survey — and the reason Takeover Tracker exists. Source: Pew Research Center via Stanford AI Index 2026.
The AI Productivity Paradox
Seven peer-reviewed studies on AI's productivity effect report results from −19% (experienced devs) to +200% (authors). Same tools, wildly different outcomes. Source: Stanford AI Index 2026, Fig. 4.4.27.
Is AI Reshaping Jobs Faster Than Past Tech?
The popular narrative says generative AI is churning the job mix faster than the internet or the PC did. Yale Budget Lab's dissimilarity index says the shift is only ~1 pp higher than the internet era — and it started before ChatGPT. Source: Gimbel et al. (Oct 2025) via Stanford AI Index 2026.
Want vs. Get: Where Workers Actually Want AI
A 2×2 map of 844 occupational tasks by worker desire and AI capability. 46.1% of workers want AI to take tasks off their plate — but 41% of AI agent investments are pointed at the opposite corner. Source: Shao et al. (2026), via Stanford AI Index 2026.
The Age Gap in AI Displacement
Software developers aged 22–25 have lost ~20% of their headcount since the 2022 AI-adoption peak. Older cohorts in the same jobs keep growing. Source: Brynjolfsson, Chandar, and Chen (2025) via Stanford AI Index 2026.
The Global Robot Race
Where physical automation is scaling. China installed 8.6× more industrial robots than the United States in 2024, and now accounts for more than half of global installations. Source: IFR via Stanford AI Index 2026.
Explore AI Job Risk
Interactive treemap of AI displacement risk across 1,000+ occupations. Filter by risk tier, salary, and job zone to see where automation hits hardest.