Challenges and Opportunities of AI Adoption in Sports Coaching
Keywords:
Artificial Intelligence (AI), Sports Coaching, Data Analytics, Wearable Technology, Predictive Modelling, Injury PreventionAbstract
Artificial Intelligence (AI) is reshaping how athletes are trained, monitored, and managed. From real-time video analysis and wearable sensor streams to machine-learning models for injury risk and talent identification, AI promises efficiency gains, personalized training, and better decision making. But adoption in coaching brings significant challenges: data quality, interpretability, ethical and privacy concerns, cost and infrastructure, and human machine trust. This paper reviews current developments, synthesizes principal challenges, and highlights practical opportunities and implementation recommendations for coaches, sport scientists, and organizations. Evidence from recent reviews and applied studies is used to ground recommendations for responsible, effective AI integration in coaching practice.
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References
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