Artificial intelligence and jobs: evidence from online vacancies

Daron Acemoglu, David Autor, Jonathon Hazell and Pascual Restrepo

LSE Research Online Documents on Economics from London School of Economics and Political Science, LSE Library

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.

Keywords: artificial intelligence; displacement; labor; jobs; tasks; technology; wages (search for similar items in EconPapers)
JEL-codes: J23 O33 (search for similar items in EconPapers)
Pages: 48 pages
Date: 2022-04-01
New Economics Papers: this item is included in nep-ain and nep-ltv
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (54)

Published in Journal of Labor Economics, 1, April, 2022, 40(S1), pp. S293 - S340. ISSN: 0734-306X

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Related works:
Journal Article: Artificial Intelligence and Jobs: Evidence from Online Vacancies (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:ehl:lserod:113325

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