The escalating demand for business graduates to communicate effectively in globalized settings underscores the need to strengthen listening and speaking skills in English for Specific Purposes (ESP). Traditional courses at Foreign Trade University HCMC Campus often favor content delivery over oral competence, but AI-driven tools integrated with multimedia present innovative opportunities. This study examines AI speech recognition, captioned business videos, digital storytelling, and podcasts to boost oral proficiency among undergraduates in Banking and Finance, Accounting, Business Administration, and Logistics majors, within ESP courses like English for Business Communication, Commercial Correspondence and International Business Contracts. Using a mixed-methods quasi-experimental design, the semester-long intervention merged authentic inputs (e.g., negotiation role-plays) with AI outputs (e.g., automated feedback on presentations). Pre- and post-tests measured quantitative gains, while reflections and interviews provided qualitative insights. Successes included marked improvements in fluency, pronunciation, and comprehension, plus enhanced motivation and confidence in workplace simulations like client meetings. Challenges included limitations in AI's recognition of accented speech, excessive dependence on the tools by learners, and early reluctance to adopt digital activities. This research advances CALL by adapting AI for business ESP, promoting learner-centered authenticity, and offering lessons for Vietnamese higher education curricula.