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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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
JEL classification:	J - Labor and Demographic Economics > J2 - Time Allocation, Work Behavior, and Employment Determination and Creation; Human Capital; Retirement > J23 - Employment Determination; Job Creation; Demand for Labor; Self-Employment O - Economic Development, Technological Change, and Growth > O3 - Technological Change; Research and Development > O33 - Technological Change: Choices and Consequences; Diffusion Processes
Date Deposited:	05 Jan 2022 14:21
Last Modified:	18 Apr 2024 01:15
URI:	http://eprints.lse.ac.uk/id/eprint/113325

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