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Journals(Abstract)

How Can Artificial Intelligence Curb Involution inEmployment

Liu Bingyue, Ding Siyun, Jiang Wanjing, Luo Chuyan, Chen Huiwen

Jiangxi University of Finance and Economics

Abstract:

Against the strategic backdrop of accelerating the construction of a Digital China and promoting the realization of “high-quality and full employment,” this paper, based on the dual effects of artificial intelligence (AI)—the “substitution effect” and the “creation effect”—on the job market, constructs an analytical framework of “AI technology → enhancement of employment resilience → resolution of employment involution.” It elucidates the mechanisms through which AI alleviates employment involution via three pathways: job creation, skill upgrading, and supply-demand matching. Empirical tests are conducted using a two-way fixed-effects model and micro-level data. The results indicate that AI significantly mitigates structural competitive pressure by enhancing the adaptability and resilience of the labor market, thereby shifting the employment ecosystem from “internal depletion” to “mutual benefit.” Finally, this paper proposes countermeasures and suggestions from the perspectives of policy guidance, skill system development, and data platform coordination, aiming to deeply integrate AI research with the implementation of employment policies. It contributes theoretical insights and practical pathways for achieving the dual objectives of improving macro-level employment quality and ensuring full employment for key groups during the “15th Five-Year Plan” period.


Key Words:

Artificial Intelligence; employment involution; full employment


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