Implementation of AI technology in sports development: A literature review

Department of Health Promotion, Faculty of Sport and Health Sciences, Universitas Negeri Makassar, Makassar, Indonesia

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Abstract

This literature review examines the implementation of Artificial Intelligence (AI) technologies in sports development, focusing on their impact on performance analysis, tactical optimization, injury prevention, rehabilitation, and athlete management. By synthesizing findings from 20 peer-reviewed international studies published between 2013 and 2023, this review highlights the diverse applications of AI, including motion tracking, machine learning–based performance prediction, computer vision–driven tactical analysis, and AI-integrated wearable technology. The analysis reveals that AI offers significant advantages over conventional methods, delivering real-time, precise, and personalized insights that enhance athlete performance and decision-making. Furthermore, AI facilitates holistic athlete management by integrating physiological, psychological, and tactical data. However, challenges such as data privacy, algorithm transparency, and unequal technology access persist, requiring collaborative efforts among researchers, coaches, and policymakers. This review underscores AI’s growing role as a transformative force in modern sports science and its potential to shape future training and competition strategies.