Traditional college English oral instruction has long been plagued by prominent drawbacks, including an unbalanced input-output ratio in language learning, inefficient teaching feedback, a lack of personalized teaching arrangements, and inadequate cultivation of students’ cross-cultural communication capabilities. Centering on these realistic pain points, this paper explores the reform and innovative path of college English oral teaching with the support of artificial intelligence and digital intelligent technologies. The study constructs an integrated teaching framework covering accurate learning situation analysis, intelligent teaching resource development, virtual-real fused scenario interaction, as well as dynamic assessment and timely feedback. Relying on a multimodal intelligent teaching platform, the framework supports functional modules such as intelligent learning diagnosis, adaptive resource push, situational oral training and human-computer joint teaching evaluation. This paper creatively proposes taking artificial intelligence as students’ cognitive learning support, advocates the implementation of human-computer integrated classroom teaching, and builds a dual evaluation system that combines comprehensive language competence and cross-cultural literacy assessment. Teaching practice proves that the optimized teaching model can effectively improve students’ oral English fluency and practical cross-cultural communication ability, which boasts outstanding innovative value, strong operability and broad popularization prospects.