ArticleFrontiers in psychology2025
Unlocking human potential in the AI Age: how employee-AI collaboration transforms work engagement through dual psychological pathways.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Perceived Generative AI Complementarity in Relation to Job Engagement and Job Embeddedness: The Mediating Roles of Psychological Empowerment and Psychological Safety.Behavioral sciences (Basel, Switzerland) · 2026Article
- The Double-Edged Sword Effects of Teacher-AI Collaboration on Work Engagement: A Self-Determination Theory Perspective.Behavioral sciences (Basel, Switzerland) · 2026Article
- The Impact of Artificial Intelligence Usage on Affective Work Well-Being: A Self-Determination Theory Perspective.Behavioral sciences (Basel, Switzerland) · 2026Article
- From threat to strength: how AI usage is paradoxically associated with resilience among accounting and finance employees with perceived work meaningfulness as a mediating mechanism.Frontiers in psychology · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
This research explores the impact of Employee-AI collaboration on work engagement, focusing on the psychological mechanisms involved. Given the increasing integration of artificial intelligence in workplaces, understanding these dynamics has become crucial for enhancing employee experience. Using a three-wave time-lagged design, data were collected from knowledge workers utilizing AI technologies in China, yielding 516 valid responses. The study employed confirmatory factor analysis, hierarchical regression, and structural equation modeling to analyze the data. The findings indicate that Employee-AI collaboration positively enhances work engagement by increasing employees' perceptions of meaningful work and creative self-efficacy, with meaningful work and creative self-efficacy serving as partial mediators in this relationship. This research contributes to the Job Demands-Resources theory by identifying Employee-AI collaboration as a novel job resource that fosters engagement through enhanced personal resources. The implications for AI system design and employee training highlight the importance of integrating AI into the workplace sensibly to maximize employee engagement and well-being.
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Registered trials
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