Authors
Hui Yang
Published in
Frontiers in psychology. Volume 17. Pages 1922666. Epub Oct 13, 2026.
Abstract
As artificial intelligence (AI) becomes increasingly integrated into the workplace, the risk that occupations will be replaced by AI has received widespread attention. Nevertheless, the underlying mechanisms linking AI-induced occupational replacement risk perception to individual withdrawal behaviors remain underexplored. Taking identity threat as an explanatory lens, this study integrates Identity Threat Theory (ITT) and Technology Threat Avoidance Theory (TTAT) to investigate the effect of occupational replacement risk perception on employee withdrawal behavior, with professional identity, work meaningfulness, and job insecurity serving as mediators and technological self-efficacy as a moderator. Two studies were conducted to test the theoretical model developed in this research. Study 1 developed and validated the AI-induced occupational replacement risk perception scale. Study 2 employed a three-wave time-lagged survey design to test the hypotheses. The results show that occupational replacement risk perception is positively associated with withdrawal behavior through decreased professional identity and work meaningfulness as well as increased job insecurity. Furthermore, these indirect effects are weaker among employees with higher technological self-efficacy. By illuminating the identity-threat mechanism that links AI-induced occupational replacement risk perception to employee behavior, this study opens the black box of how AI shapes employee responses, and it concludes with a discussion of the theoretical contributions and practical implications of these findings.
PMID:
42947840
Bibliographic data and abstract were imported from PubMed on 28 Oct 2026.
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