Abstract: Against the backdrop of the rapid iteration ofAItechnology and the continuous breakthroughs in the capabilities of large language models, traditional educational models are confronting numerous uncertainties and challenges. Based on personal perspectives and practical observations, this paper first distinguishes the connotative differences and essential distinctions between general education and professional education in Chinese and Western contexts. It then elaborates on the technical characteristics of largeAImodels and their current application status across multiple fields. Furthermore, the paper systematically sorts out the dilemmas in core areas such as talent cultivation, teaching reform, curriculum optimization, and university development in theAIera, and puts forward relevant prospects. This study provides references for educators to explore the transformation paths of education in theAIera.