Shielding the Green Innovator: How Human‐Centered AI Buffers the Impact of AI ‐Induced Job Insecurity

As organizations increasingly integrate artificial intelligence (AI) to achieve environmental sustainability, a strategic tension emerges between macroscopic technological efficiency and microscopic human psychological security, constituting the twin transition paradox. Drawing on the Conservation of Resources theory, this study investigates this theoretical paradox by examining how AI‐induced job insecurity impacts green innovative behavior. Utilizing a four‐wave time‐lagged design with 396 South Korean employees, we tested a first‐stage moderated serial mediation model. The empirical results reveal that the direct effect of AI‐induced job insecurity on green innovative behavior is not statistically significant. Instead, the relationship is fully mediated sequentially by meaningfulness of work and green intrinsic motivation. This full mediation demonstrates that behavioral withdrawal does not occur as an immediate reflex; rather, employees abandon high‐cost environmental investments only when their existential occupational value and autonomous psychological drive collapse from within. Furthermore, human‐centered AI, characterized by transparency and user agency, functions as a robust structural condition. By restoring the epistemic agency of employees, high levels of human‐centered AI induce cognitive reappraisal, systematically attenuating the sequential resource depletion spiral at its inception. This study contributes to the literature by providing empirical evidence indicating that macro‐level ecological strategies are contingent upon the individual‐level psychological carrying capacity of the frontline workforce, thereby conceptualizing human‐centered AI as a substantive structural resource rather than merely a technical specification.