Abstract
<jats:p>This article presents the results of a study aimed at studying the fundamental concepts of AI and the possibility of its application in teaching physics. The goal was achieved through the generalization, analysis and systematization of the aca¬demic knowledge base presented in scientific materials on the use of AI in physics education. Selected studies have been analyzed and summarized to develop a co¬herent framework for understanding the various uses of AI in physics teaching, such as concept introduction, individualization, social interaction, and assessment. The results highlight the positive impact of AI on improving conceptual under¬standing, providing personalized learning, facilitating social interaction, and improving assessment methods. The value of the research results lies in consolidating information for teachers and researchers seeking to harness the potential of AI for in¬novative transformations in physics teaching.</jats:p>