Abstract: As artificial intelligence rapidly transforms workplace operations, organizations face a critical challenge: implementing AI systems in ways that enhance productivity while supporting employee psychological wellbeing and adaptive behaviors. This article synthesizes emerging research on organizational AI adoption, examining the dual motivational pathways through which AI integration influences employee responses. Drawing on recent empirical findings and practitioner insights, we explore how AI-supported autonomy can activate approach-oriented behaviors while AI anxiety may trigger avoidance responses, and identify knowledge-sharing infrastructure as a pivotal moderating mechanism. The analysis integrates organizational behavior theory with real-world implementation strategies, offering evidence-based guidance for leaders navigating AI transformation. Findings suggest that organizations must move beyond viewing AI adoption as purely a technical initiative, instead designing comprehensive support ecosystems that amplify positive motivational responses while mitigating anxiety-driven withdrawal. This framework provides actionable insights for building AI-ready organizational cultures that enhance both technological capability and human flourishing.
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