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trailEmployers respond to generative AI mainly by reorganizing workers' tasks rather than changing pay or hours
Generative AI chatbot adoption has had no detectable effect on worker earnings or hours within two years
Technological change reshapes the structure of work before it affects measured earnings or hours
Adjustment through tasks, not compensation· for
AI chatbot adoption in Denmark had precisely estimated null effects on workers' earnings and hours
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New AI-related tasks have become widespread within jobs following chatbot adoption
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Generative AI adoption has so far had minimal effects on aggregate employment and wages
US aggregate labor-market data show no relationship between occupational AI exposure and changes in employment or unemployment since ChatGPT's release
Aggregate labor-market statistics over a few years can detect economically meaningful effects of a new technology's adoption
US early-career workers aged 22-25 in the most AI-exposed occupations saw a 16% relative employment decline since generative AI's widespread adoption
Freelancers in AI-exposed online gig occupations saw measurable earnings declines after ChatGPT's release
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The employment margin· against
Early-career workers in AI-exposed occupations have experienced relative employment declines since generative AI adoption
Hiring for AI-exposed occupations began declining before ChatGPT's release in November 2022
Within firms adopting generative AI, junior employment has declined sharply while senior employment stayed largely unchanged
Unemployment has risen less for workers in AI-exposed occupations than for less-exposed workers
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Employers respond to generative AI mainly by reorganizing workers' tasks rather than changing pay or hours
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