The development of artificial intelligence (AI) is bringing significant changes to music education, particularly through a personalized learning approach at the primary level. This paper explores the application of AI technologies in adapting teaching content to the cognitive and affective characteristics of students. AI enables flexibility in learning, adjusts the pace, and provides systematic real-time feedback. By using AI tools, students have the opportunity for interactive and adaptive learning, while teachers can more effectively monitor their progress through specific case studies that demonstrate the pedagogical impact of AI in primary school music education. The benefits include increased motivation, the development of creativity, and more precise evaluation of musical competencies. Despite numerous advantages, challenges such as ethical concerns, the potential depersonalization of teaching, and the need for teacher training remain key aspects of AI implementation in education. The research findings confirm that AI can significantly enhance music education if implemented in accordance with pedagogical principles and ethical guidelines. This topic is significant as it explores how AI can tailor teaching to the individual needs of students, which is one of the key trends in modern education. Additionally, it allows for the exploration of specific AI tools that can assist teachers in educating children.