How Is Generative AI Use Associated with Employee Creative Behavior? Uncovering Capability- and Risk-Based Psychological Pathways

The rapid diffusion of generative AI is profoundly transforming knowledge-intensive work and reshaping how employees innovate. Although prior research has highlighted the positive role of generative AI in improving work efficiency and performance, the underlying mechanisms through which it promotes employee creative behavior remain insufficiently understood. Drawing on Social Cognitive Theory and Psychological Safety Theory, this study develops a moderated dual-path model to examine how generative AI use influences employee creative behavior through creative self-efficacy and psychological safety. Using a three-wave time-lagged survey design, data were collected from 297 employees in highly digitalized industries. The results indicate that generative AI use is positively associated with subsequent self-reported employee creative behavior. Both creative self-efficacy and psychological safety significantly mediate this relationship. Furthermore, digital leadership strengthens the positive effects of generative AI use on creative self-efficacy and psychological safety, thereby further enhancing its indirect effects on employee creative behavior. The findings not only extend the literature on generative AI and employee creative behavior but also deepen the theoretical understanding of AI empowerment mechanisms by identifying two critical pathways: a capability-enhancement pathway and a risk-reduction pathway. This study provides important theoretical insights and practical implications for organizations seeking to effectively leverage generative AI to foster employee creative behavior in the context of digital transformation.