Abstract: Generative artificial intelligence, as the latest product of the iterative evolution of intelligent technology, has brought new opportunities for improving the quality of ideological and political theory courses with its ability to generate text and analyze data. Scholars have focused on the multidimensional aspects of teaching, learning, evaluation, and research to study the expected state of using generative artificial intelligence to improve the quality of ideological and political theory courses. However, in reality, there are still practical problems such as the loss of value caused by the subjective micro and panoramic immersion generated by the intelligent expansion of generative artificial intelligence in promoting the quality improvement of ideological and political theory courses. We need to start by enhancing the intelligence literacy of educators, promoting agile governance, innovating the integration path of evaluation, and deeply expanding semantic understanding to explore its future development path.