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Artificial Intelligence and Jobs: Evidence from Online Vacancies

Daron Acemoglu, David Autor, Jonathon Hazell and Pascual Restrepo

Journal of Labor Economics, 2022, vol. 40, issue S1, S293 - S340

Abstract: We study the impact of artificial intelligence (AI) on labor markets using establishment-level data on the near universe of online vacancies in the United States from 2010 onward. There is rapid growth in AI-related vacancies over 2010–18 that is driven by establishments whose workers engage in tasks compatible with AI’s current capabilities. As these AI-exposed establishments adopt AI, they simultaneously reduce hiring in non-AI positions and change the skill requirements of remaining postings. While visible at the establishment level, the aggregate impacts of AI-labor substitution on employment and wage growth in more exposed occupations and industries is currently too small to be detectable.

Date: 2022
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Citations: View citations in EconPapers (140)

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