Abstract: 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.

Key words:  Artificial intelligence, physics education, training of top physics talents