Organizational AI adoption refers to the decision-making process of organizational leadership，which involves considering the overall benefits and drawbacks of AI on various aspects of the organization，weighing judgments，and ultimately making adoption decisions. It focuses on the process of organizations initially adopting AI technology in their operations. In the context of the continuous advancement of digitization，organizations are facing the hotly debated topic of how to implement and adopt complex artificial intelligence in both academic and industry circles. Based on those above，firstly，this paper clarifies the concept and development background of organizational AI adoption，and distinguishes similar concepts such as technology adoption and AI usage. Secondly，while summarizing existing literatures，this paper systematically integrates a research framework for organizational AI adoption，including the theoretical basis，antecedents，consequences，and mechanisms of organizational AI adoption. Finally，this paper further consolidates the research conclusions and provides practical insights for managers based on the conclusions，thereby suggesting future research directions for the field of organizational AI adoption.