Orthopedic residency training, despite its critical importance, faces significant challenges such as high costs and resource limitations, particularly in developing nations. This paper explores the transformative potential of Artificial Intelligence (AI) as a catalyst to address these challenges and enhance the quality of orthopedic surgical education. AI can improve the training process through several innovative applications. AI-powered adaptive learning platforms, by analyzing individual residents' performance, offer personalized educational pathways. Additionally, the integration of AI with Virtual Reality (VR) simulators provides a safe and repeatable environment for practicing complex surgeries, offering immediate and objective feedback that may surpass traditional supervision. However, the implementation of these technologies faces significant barriers, including high costs, regulatory uncertainties, privacy concerns, and the "black-box" nature of AI models. Strategic, interdisciplinary collaboration among healthcare professionals, engineers, and policymakers can overcome these barriers.