IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Music Industry Disruption: Comparing Traditional and Popular Music in the Artificial Intelligence Era

Music Industry Disruption: Comparing Traditional and Popular Music in the Artificial Intelligence Era
View Sample PDF
Author(s): Mieke Yustia Ayu Ratna Sari (State University of Surabaya, Indonesia), Heppy Hyma Puspytasari (State University of Surabaya, Indonesia)and Alfan Dzikria Nurrachman (State University of Surabaya, Indonesia)
Copyright: 2026
Pages: 24
Source title: Artificial Intelligence in Music Production: Innovations, Practices, and Industry Implications
Source Author(s)/Editor(s): Randy Joy Magno Ventayen (Pangasinan State University, Phillippines)
DOI: 10.4018/979-8-3373-6279-3.ch012

Purchase

View Music Industry Disruption: Comparing Traditional and Popular Music in the Artificial Intelligence Era on the publisher's website for pricing and purchasing information.

Abstract

This chapter analyzes how artificial intelligence (AI) reshapes the structures, practices, and values of the music industry, focusing on traditional and popular music. It highlights shifting creative roles, changing production dynamics, ethical and regulatory concerns, and AI's impact on preserving and transforming cultural heritage. The discussion outlines historical shifts from the pre-AI era to the digital age, addressing algorithmic processes, opportunities and risks in creation and distribution, and the implications of AI for communal intellectual property in traditional music. It also examines how AI influences the economics of popular music through streaming models, automated production, and recommendation systems, while noting risks such as data colonialism, cultural loss, and blurred authenticity. The chapter concludes that AI offers major potential for innovation and preservation but also poses challenges to community rights, creative economy structures, and fair value distribution.

Related Content

Randy Joy Magno Ventayen, Elmar B. Noche, Maricel Aqui. © 2026. 34 pages.
Evren Idil Yazan. © 2026. 30 pages.
Sonia Ahuja. © 2026. 24 pages.
Saroj Sandeep Phalke, Gitanjali Shinde, Grishma Bobhate, Poonam Railkar, Haribhau R. Bhapkar, Sonal Fatangare. © 2026. 28 pages.
Syrenzo Ramos Sicuan. © 2026. 26 pages.
K. S. Jishnu, P. S. Shijukumar, G. Bhargavi, Vimal Sankar, P. S. Sujith Kumar, Nisha Thorakattu Madathil. © 2026. 30 pages.
Vibha Tiwari, Rahul Lalwani, Akshada Telang. © 2026. 36 pages.
Body Bottom