Use of artificial intelligence in programming the training process in kickboxing

Abstract

The relevance of the study is driven by the growing need for individualization of training processes in high-performance sports, particularly in kickboxing, where performance outcomes largely depend on the precision of training loads, timely recovery, and the stability of technical and tactical execution. The integration of artificial intelligence (AI) is viewed as an innovative approach to optimizing coaching practices and enhancing the effectiveness of training management based on data-driven insights. This article aims to explore the potential of AI to enhance the training process in kickboxing, considering the sport’s unique characteristics, and to develop practical approaches for the effective integration of intelligent algorithms into athletic preparation systems. Methodology. The study applies a systems approach, comparative analysis, and structural-functional analysis. Contemporary digital tools and types of AI algorithms (machine learning, neural networks, expert systems) are examined in the context of their application in sports. Practical cases of AI implementation in combat sports are synthesized and generalized. Results. It has been established that AI integration enhances the precision of training load planning, enables automated adjustments to training cycles, forecasts athletes’ physical readiness, and improves the evaluation of technical and tactical performance. Key success factors include access to appropriate technical infrastructure, the digital competence of coaches, and the availability of sport-specific methodological frameworks. The transformation of coaching decisions under the influence of intelligent technologies has been systematized. Conclusions. It has been widely acknowledged that AI serves as an effective tool for enhancing the efficiency and adaptability of the training process, enabling more personalized and responsive athletic development. The feasibility of incorporating AI as a component of modern coaching practice has been justified. Future studies should focus on developing methodological frameworks tailored to combat sports, creating training programs in digital analytics for coaches, and empirically assessing the effectiveness of hybrid AI-based training models.