Artificial Intelligence (AI) has become an integral component of modern sports, significantly enhancing performance, strategy, and engagement. In cricket, football, and kabaddi, AI has played a transformative role through advanced analytics, predictive modelling, and injury prevention. Cricket teams employ AI to evaluate pitch conditions, analyze batting and bowling strategies, and identify player performance trends using video data. In football, AI-based tracking systems provide insights into player positioning, movement, and match dynamics, enabling coaches to design strategies and predict outcomes. In kabaddi, AI applications focus on player tracking, opponent behaviour analysis, and match forecasting, thereby improving training methods and competitive approaches. This paper explores the current applications and future prospects of AI in these sports, emphasizing its significance in strategic decision-making, performance optimization, and the transformation of sports analytics.