The impact of artificial intelligence on labor market: A study based on bibliometric analysis

Huilin Zhou, Linhui Wang, Yutong Cao and Jincheng Li

Journal of Asian Economics, 2025, vol. 98, issue C

Abstract: The impact of artificial intelligence (AI) on the labor market has become a critical focus of academic research. However, most studies only focus on single dimensions or perspectives, with few efforts to systematically synthesize key insights from frontier research on AI’s effects on the labor market. To address this, we use the CiteSpace to analyze 1647 articles in the Web of Science between 2007 and 2024 to identify research hotspots and the evolution of themes. Then, we further illustrate the representative views of AI on the labor market from five perspectives: employment, skills, job quality, wage and policy. The findings are as follows: (1) Since 2015, research on AI and the labor market has expanded rapidly, particularly in areas such as labor participation, wage inequality, job stability and the development of AI technologies. (2) Bibliometric analysis reveals significant focus on the effects of AI on employment and skill demand, with “digital workplace” “job insecurity” “job quality” and AI applications emerging as major research hotspots. (3) We provide a systematic overview on AI and employment, skills, job quality, wages and policies, and present representative views. (4) Future research may focus on the impact of AI on job quality, emerging forms of work and the varying impact of different AI technologies on the labor market.

Keywords: Artificial intelligence; Labor market; Bibliometric analysis; Systematic overview (search for similar items in EconPapers)
JEL-codes: J21 J23 O14 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:asieco:v:98:y:2025:i:c:s1049007825000508

DOI: 10.1016/j.asieco.2025.101926

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