The challenge of providing clinical audiology students with consistent and meaningful patient interaction is well-documented in educational literature.1–3 Opportunities for patient engagement are needed for development of communication and clinical reasoning skills, essential for competent practice.3–7 Simulated patients, actors, and other students are popular teaching tools in health education, providing hands-on practice in a controlled environment.2,4 Despite their effectiveness, these methods often come with limitations, including high costs and logistical challenges.4,6 AI offers a promising solution to these issues by providing scalable and realistic clinical simulations.8–10 This study explores the use of an AI-driven virtual patient in audiology education, focusing on its role in enhancing communication and clinical reasoning skills through self-assessment, peer feedback, and reflective practice.