This study, published in the Journal of Experimental Orthopaedics, investigates the current use, awareness, barriers, and future prospects of AI technologies in orthopaedics through an international survey conducted by the ISAKOS Young Professionals Task Force. The survey, consisting of 26 questions, was distributed to orthopaedic surgeons and allied professionals, gathering responses from 211 participants across various regions and experience levels. The findings reveal that only 25.1% of respondents currently use AI in clinical practice, with imaging-based diagnosis identified as the most promising area for AI integration. A significant portion of participants expressed uncertainty about AI, machine learning, and deep learning distinctions, and demonstrated limited knowledge of AI applications in medicine. Key barriers to AI adoption include concerns about efficacy, cost, and regulatory challenges. Despite these obstacles, there is strong interest in adopting AI technologies in the future, particularly for predicting surgical outcomes and diagnosing osteoarthritis through imaging. The study highlights the need for expanded educational initiatives and research efforts to bridge knowledge gaps and support AI integration in orthopaedics.