Document Type

Report

Publication Date

5-2025

Abstract

2024-25 capabilities AI in music does not equal the quality of high-level human practitioners of composition, performance, pedagogy, and sound engineering (though certain tasks are commonly transferred to AI). The reasons include the complexity of the music (composition), and the logistics of the profession (performance, pedagogy). However, there are already professions being displaced by AI in the music industry, primarily in sound engineering, or in composition projects for simpler tasks such as repetitive gaming music. It is likely that AI will over time, and with augmented capabilities, increasingly insert itself into almost every part of the chain in commercial music making due to the allure of cheap labor. More complex music using larger musical forms will likely have less use of AI due to its complexity, but also because there is less commercial viability for AI platforms in those styles. Research in this field is almost instantly dated due to AI’s rapid progress. Regardless of where one stand in one’s acceptance of this new technology, there is certainty in that AI will become an inevitable tool, and it will disrupt the music making industry in both predictable and unpredictable ways.

Rights

© 2025 Johan Eriksson

Download

Share

COinS