AI and Jobs: Evidence from Online Vacancies

Working Paper: NBER ID: w28257

Authors: Daron Acemoglu; David Autor; Jonathon Hazell; Pascual Restrepo

Abstract: We study the impact of AI on labor markets using establishment-level data on vacancies with detailed occupation and skill information comprising the near-universe of online vacancies in the US from 2010 onwards. There is rapid growth in AI related vacancies over 2010-2018 that is greater in AI-exposed establishments. AI-exposed establishments are reducing hiring in non-AI positions. We find no discernible relationship between AI exposure and employment or wage growth at the occupation or industry level, however, implying that AI is currently substituting for humans in a subset of tasks but it is not yet having detectable aggregate labor market consequences.

Keywords: AI; Labor Markets; Job Vacancies; Employment; Skill Demands

JEL Codes: J23; O33


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
AI adoption (C45)increase in AI-related vacancies (J68)
AI exposure (C45)decline in demand for certain skills (J29)
AI exposure (C45)lower non-AI hiring (J68)
AI exposure (C45)lower overall hiring (J79)
AI exposure (C45)no detectable impact on overall employment (F66)
AI exposure (C45)no detectable impact on wage growth (F66)

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