本文系统探讨了人工智能(AI)在物理学科拔尖人才培养中的作用与路径.本文分析了AI在提升教学效率、优化学习体验和实现个性化支持方面的教育潜能，进而以基于问题的多元合作教学模式(TSAI)和AI赋能的本科科研训练为例，剖析了AI赋能物理拔尖人才培养的具体实践. AI不仅是技术工具，更推动了教学理念和学习方式的变革.基于AI与人类的优势互补，通过人机协同，激发学生提问、决策与创新能力，强化物理学科的育人价值.最后，提出了AI与物理教育融合的实践建议，为高校人才培养提供理论和实践参考.

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.