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Labor market impacts of AI: A new measure and early evidence

From Anthropic Economic Research


[Key findings]

  • We introduce a new measure of AI displacement risk, observed exposure, that combines theoretical LLM capability and real-world usage data, weighting automated (rather than augmentative) and work-related uses more heavily

  • AI is far from reaching its theoretical capability: actual coverage remains a fraction of what's feasible

  • Occupations with higher observed exposure are projected by the BLS to grow less through 2034

  • Workers in the most exposed professions are more likely to be older, female, more educated, and higher-paid

  • We find no systematic increase in unemployment for highly exposed workers since late 2022, though we find suggestive evidence that hiring of younger workers has slowed in exposed occupations


 
 
 

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