Abstract: The deepening application of generative artificial intelligence is accelerating systemic transformation in the publishing industry and reshaping requirements for talent structures and competency frameworks. Drawing on the intelligent transformation practices of 43 publishing organizations, this study conducts in-depth interviews with senior executives and employs thematic analysis to systematically examine the competency architecture and developmental trends of publishing professionals in the context of generative AI. The findings indicate a clear shift from position-oriented to competency-oriented talent paradigms, with hybrid and interdisciplinary professionals emerging as a central demand. At the competency level, a four-dimensional model is identified, encompassing: digital literacy and cross-domain integration; content management and product transformation; digital marketing and copyright operations; and collaborative innovation and learning adaptability. Furthermore, from the perspectives of government, higher education institutions, publishing organizations, and individual practitioners, the study proposes practical pathways and institutional mechanisms for competency transformation, including policy guidance, educational provision, organizational restructuring, and individual professional development. Emphasizing the co-construction of technology and the humanities, as well as institutions and competencies, this research aims to provide theoretical grounding and practical insights for the development of talent cultivation systems and value orientation in the publishing industry under the conditions of intelligent technologies.