This special issue aims to stimulate scholarly interest in the transformation in organizational management driven by artificial intelligence (AI) and promote relevant research. The rapid advancement of AI technology has generated significant implications for organizational management. While AI boosts efficiency and enhances management capabilities through innovative techniques, it also poses challenges, such as workforce displacement and heightened employee burnout. Examining the emergent phenomena, trends, concepts, and theories of organizational management affected by AI serves as a critical gateway to realizing its positive potential. This special issue collects eight papers that explore various aspects of AI within the organizational context, covering topics such as AI decision-making, AI usage bias, human-AI interaction, AI symbolism, and digital transformation communication. Additionally, it synthesizes the current research trajectory on the human-AI relationship, and analyzes thematic trends from the 84th Annual Meeting of the Academy of Management on AI and organizational management, aiming to provide insights for future research. Building on this, this paper encourages future research to address critical issues in business operations and management in the AI era, foster interdisciplinary and cross-domain collaborations, and comprehensively explore scientific inquiries such as human-machine collaboration, so as to support enterprises in achieving sustainable and high-quality development.