The rise of artificial intelligence (AI) has profoundly reshaped how people live, learn, and work, and it is transforming the paradigms of scientific research. As a new form of productive force, AI's methodological breakthroughs also create fresh opportunities for higher-education reform. This paper explores the rethink of physics teaching in the AI era, proposing concrete reform ideas that center on optimizing computational methods, integrating experimental instruction with data analytics, promoting interdisciplinary convergence, and embedding ideological and political elements into the curriculum. These measures aim to enhance students' practical and innovative capabilities and to cultivate high-caliber talent suited to the age of big data and artificial intelligence.