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Artificial intelligence and jobs: evidence from online vacancies

Acemoglu, Daron, Autor, David, Hazell, Jonathon and Restrepo, Pascual (2022) Artificial intelligence and jobs: evidence from online vacancies. Journal of Labor Economics, 40 (S1). S293-S340. ISSN 0734-306X

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Identification Number: 10.1086/718327

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.

Item Type: Article
Official URL: https://www.journals.uchicago.edu/
Additional Information: © 2022 The University of Chicago.
Divisions: Economics
Subjects: Q Science > QA Mathematics > QA76 Computer software
H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HC Economic History and Conditions
Date Deposited: 12 May 2022 13:51
Last Modified: 13 May 2022 08:54
URI: http://eprints.lse.ac.uk/id/eprint/115096

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