With the rapid development of artificial intelligence (AI), the development of AI technology is bound to have an important impact on foreign language education. Therefore, under the foreign language teaching system, "AI + Education" has become a new trend of current research and can improve the teaching efficiency of college foreign language education. Therefore, AI has gradually become the focus of foreign language education. At present, AI mainly plays four roles in the world: learning partner, student, AI teacher and classroom teacher. However, through the development of "AI + Education", Japanese education is not only applied in pre class, classroom, after class, extracurricular, examination and other teaching environments, but also brings profound changes to Japanese teaching. The purpose of this thesis is to analyze the current application of AI in foreign language teaching and its influence on College Japanese teaching, as well as the role-playing and future challenges. It can provide reference ideas and experience for College Japanese education in the development of AI teachers and the construction of dual teacher classroom. Its research methods are data search and induction, and in terms of the impact on Japanese teaching, questionnaire survey is used to analyze the relevance of its data. The results of the analysis are helpful to understand the application and current situation of students' AI + education. Furthermore, effective improvement strategies will be provided, which will contribute to the development of foreign language teaching and Japanese education in the future.
