This paper systematically explores the role and pathways of artificial intelligence (AI) in cultivating top-tier talent in the field of physics. It analyzes AIs educational potential in enhancing teaching efficiency，optimizing learning experiences，and enabling personalized support. Using examples such as the problem-based collaborative teaching model (TSAI) and AI-empowered undergraduate research training，the study examines practical implementations of AI in physics education. AI is positioned not merely as a technological tool but as a driving force for transforming educational philosophy and learning approaches. By leveraging the complementary strengths of humans and AI through human-AI collaboration，the approach aims to foster students abilities in questioning，decision-making，and innovation，thereby reinforcing the educational value of physics. Finally，the paper offers practical recommendations for integrating AI into physics education，providing theoretical and practical insights for talent cultivation in higher education.