Artificial intelligence is poised to significantly transform orthopedic device development by accelerating design, testing, and regulatory processes. AI-driven modeling and simulation tools allow engineers to analyze implant biomechanics, optimize materials, and refine device geometries more efficiently than traditional development methods. These technologies can also leverage large datasets from clinical outcomes and imaging to guide design decisions and improve device performance. In addition, AI may streamline regulatory submissions by supporting predictive testing and digital validation of device safety and effectiveness. As adoption grows, AI is expected to shorten development timelines, reduce costs, and enable more personalized orthopedic solutions, positioning data-driven design as a key driver of future innovation in musculoskeletal device technology.