This study focuses on the real-world context where artificial intelligence (AI) deeply permeates corporate operations, systematically exploring the core value, challenges, and optimization paths of corporate culture management during the process of intelligent transformation. By deeply analyzing the semantic deviations in the digitalization of cultural elements and the potential conflicts between algorithm-based decision-making and humanistic values in human-machine collaboration scenarios, and combining theories of organizational behavior with the characteristics of AI technology, a series of strategies for enhancing effectiveness are proposed, including dynamic cultural modeling and embedding cognitive-collaborative rules. With detailed empirical data and case studies, this research provides a theoretical basis and practical guidance for enterprises to achieve a dynamic balance between technological rationality and humanistic care.