The Changing Value of Music Education in the Age of AI and Its Impact on the Music Industry

Abstract

As generative artificial intelligence becomes increasingly embedded in music, the way music is created is changing. Creation is moving away from a process that depends heavily on specialized technical skills and toward one based increasingly on collaboration between people and machines. This shift is changing not only how music is made, but also what music education is meant to achieve. If machines can now generate melodies and even complete songs, what, then, should music schools still teach? This paper argues that the central purpose of music education in the age of AI is shifting from traditional skills training toward three broader goals: developing creativity, cultivating aesthetic judgment, and teaching students how to work effectively with intelligent systems. This is more than an educational change. By shaping the skills and capabilities of future music professionals, education can influence who works in the industry, how music is produced, and what kinds of music enter the wider cultural environment. The relationship also works in the other direction. As the industry changes, its new demands put pressure on educational institutions to adapt. In this sense, education and the music industry are locked in a two-way process: education trains new talent, talent helps reshape the industry, and the changing industry pushes education to evolve again. Understanding this cycle is essential to understanding the broader transformation of music in the age of AI.