Transformative Impacts of Artificial Intelligence on the Music Industry: A Narrative Review

The music industry is being significantly transformed by artificial intelligence (AI), impacting all aspects of the music value chain from creation to consumption. This chapter examines AI’s role in various facets of music, including creation, production, distribution, marketing, education, and consumption, drawing from current academic research and practical implementations. AI enhances creativity in music composition with tools like OpenAI’s MuseNet and Amper Music and optimizes production processes. Distribution is improved by AI-driven recommendation algorithms on platforms like Spotify, personalizing user experiences. Marketing uses AI for targeted campaigns, enhancing customer interaction. In education, AI provides personalized learning experiences and adaptive tools, while personalized music therapy applications explore AI’s potential to improve health outcomes. AI also helps preserve cultural heritage by recording and revitalizing historic music genres. Despite advancements, further research is needed on ethical issues like data privacy and algorithmic bias. Studies should explore AI’s long-term impact on music consumption and traditional composing methods, focusing on ethical frameworks and cultural heritage. This chapter guides future research, emphasizing AI’s transformative potential in the music industry for a more inclusive, innovative, and vibrant future.