ENHANCING ATHLETE PERFORMANCE AND MANAGEMENT THROUGH ARTIFICIAL INTELLIGENCE IN SPORT TRAINING

Abstract

As sports become increasingly competitive, the integration of Artificial Intelligence (AI) has emerged as a valuable innovation for optimizing training outcomes and organizational efficiency. AI is changing the way sports are taught, managed, and practiced by providing new ways to improve athlete performance and support decision-making. This paper discusses the role of AI in sport training and sports management by reviewing its major applications, benefits, and challenges. It explains how AI technologies, such as wearable devices, machine learning, predictive analytics, and video analysis, help coaches and athletes monitor performance, develop personalized training programmes, prevent injuries, support rehabilitation, and improve tactical decisions. The paper also discusses the use of AI in sports management, including talent identification, athlete monitoring, resource management, and fan engagement. Although AI offers many advantages, its adoption is still affected by challenges such as high implementation costs, data privacy and security concerns, ethical issues, limited technical expertise, and the risk of relying too heavily on technology. The paper emphasizes that AI should be used to support, rather than replace, the knowledge and experience of coaches, sports scientists, and administrators. It concludes that when implemented responsibly, AI can improve athlete development, enhance sports management, and contribute to better performance outcomes. The paper suggested, among others, that increased investment in AI technologies, continuous training for sports professionals, stronger policies on data protection and ethical use, and wider access to AI tools across different levels of sports are necessary to ensure sustainable and effective adoption.