The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
IMF Working Papers, September 13, 2024
Source details
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- The Labor Market Impact of Artificial Intelligence: Evidence from US Regions
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Bibliographic details
- Authors: Yueling Huang
- Published: September 13, 2024
- Series: IMF Working Papers
- DOI: https://doi.org/10.5089/9798400288555.001
Summary findings
- The paper empirically investigates the impact of Artificial Intelligence (AI) on employment using variation in AI adoption across US commuting zones.
- During 2010-2021, commuting zones with higher AI adoption experienced a stronger decline in the employment-to-population ratio.
- The negative employment effect is primarily borne by:
- the manufacturing and low-skill services sectors,
- middle-skill workers,
- non-STEM occupations,
- individuals at the two ends of the age distribution.
- The adverse impact is more pronounced on men than women.
Methodology
- Empirical strategy exploits variation in AI adoption across US commuting zones using a shift-share approach.
Subject matter and keywords
- Subject: Artificial intelligence; Employment; Employment rate; Labor; Labor markets; Population and demographics; Technology
- Keywords: AI adoption data; AI production; Artificial intelligence; classification scheme; Employment; employment effect; employment impact; employment outcome; Employment rate; employment share; Global; impact of artificial intelligence; industry AI adoption; industry classification; labor; labor market impact; Labor markets; local labor markets; low-skill services sectors; middle-skill worker; robot penetration; shift share; technology
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- Working Paper