The rapid development of generative artificial intelligence has brought innovative opportunities to spoken English teaching. This study focuses on the innovative application of generative AI in spoken English teaching, explores the internal compatibility between the two in terms of intelligent interaction, personalized learning and real-time feedback, analyzes the reconstruction path of the human-computer collaborative teaching mode, and puts forward core strategies such as immersive environment creation, differentiated teaching implementation and formative evaluation. At the same time, the study deeply analyzes practical challenges such as technical limitations, role transformation of teachers and students, and ethical risks, aiming to provide theoretical references and practical implications for the in-depth integration of artificial intelligence in foreign language teaching, and promote the development of spoken English teaching towards intellectualization and precision.