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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


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
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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

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