Artificial Intelligence and Jobs: Evidence from Online Vacancies

• 成果类型: Article
• 署名作者: Acemoglu, Daron; Autor, David; Hazell, Jonathon; Restrepo, Pascual
• 署名单位: Massachusetts Institute of Technology (MIT); National Bureau of Economic Research; University of London; London School Economics & Political Science; Boston University
• 刊物名称: JOURNAL OF LABOR ECONOMICS
• ISSN/ISSBN: 0734-306X
• DOI: 10.1086/718327
• 发表日期: 2022
• 页码: S293-S340
• 关键词: biased technological-change; polarization; robots; computers; GROWTH; tasks

摘要

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.