Abstract: In the context of the deep integration of the digital governance wave and educational digitalization strategies, artificial intelligence (AI) presents a historic opportunity for the paradigm shift in the construction of university student Party branches. Grounded in digital governance theory, this paper systematically explores the connotation evolution, logical mechanisms, and practical pathways of AI-empowered construction of university student Party branches. This study believes that empowering the construction of university student Party branches with artificial intelligence, in essence, is to use AI methods to address the issue of how student Party branches can achieve a governance transformation from standardized management to precise education under conditions of high member turnover and active thinking among young Party members; AI empowerment is mainly reflected in the evolution of connotations in three dimensions: organization, function, and system; its internal logic lies in the deepening of concepts driven by educational goals, the optimization of mechanisms driven by information needs, and the upgrading of paradigms driven by quality objectives. On this basis, this study constructs a closed-loop practical pathway characterized by precise evaluation to guide direction, data fusion to consolidate the foundation, institutional norms to ensure operation, and a human-centered orientation to realize value, thereby providing theoretical reference and practical guidance for improving the quality of Party construction among university students in the new era.