With the rapid development of artificial intelligence (AI) technology, the financial industry is undergoing profound transformations, posing new demands for the cultivation of application-oriented undergraduate investment professionals. Addressing issues such as the disconnect between teaching content and technology, the lack of personalized instruction, and a singular evaluation system in current investment courses, this paper constructs a comprehensive intelligent teaching framework spanning “pre-class, in-class, and post-class” stages, leveraging the Chaoxing Xuexi Tong AI platform. Through four pathways—curriculum content restructuring, teaching model innovation, evaluation system optimization, and resource repository construction—the study explores innovative practices in AI-empowered curriculum reform for investment. Teaching practice demonstrates that this model effectively enhances students’ learning interest, AI application capabilities, and practical investment skills, achieving a course satisfaction rate exceeding 97%. It provides a replicable implementation path for relevant curriculum reforms in application-oriented undergraduate institutions.