The Impact of Artificial Intelligence Technology on Contemporary Music Artists

© 2025 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )

Download PDF

Cite

XML

HTML

Abstract

With the continuous development and maturation of artificial intelligence (AI) technology, the influence on music artists is becoming increasingly prominent. While a large number of musicians have benefited from AI technology and achieved considerable success, there are also many who have fallen into difficulties due to the emergence of AI technology. This article expounds the positive and negative impacts that artificial intelligence technology has brought to modern music artists based on the phenomena in reality. This paper will prompt music artists to think about how to use technological means to bring convenience to themselves. At the same time, they will also take a series of actions to avoid risks and minimize the adverse impact of artificial intelligence technology on music artists.

References

Winston PH, 1984, Artificial Intelligence, Addison-Wesley Longman Publishing, Boston, US.

Roads C, 1985, Research in Music and Artificial Intelligences. Computing Surveys (CSUR), 1985: 163–190.

Merkl A, 2020, How Technology Changed the Rhythm of the Music Industry, Doctoral dissertation, Louisiana State University.

Koh A, 2018, Dual Prospects in Music Production, Music for AI Reports.

Jacobides MG, Brusoni S, Candelon F, 2021, The Evolutionary Dynamics of the Artificial Intelligence Ecosystem. Strategy Science.

Bettendroffer GG, Noelle N, 2011, Can the Cluster Survive the Epochal Shift in Proprietary Rights? The London Music Industry Cluster.

Davenport T, Guha A, Grewal D, et al., 2020, How Artificial Intelligence Will Change the Future of Marketing. Journal of the Academy of Marketing Science, 2020: 24–42.

Hiller RS, Walter JM, 2017, The Rise of Streaming Music and Implications for Music Production. Review of Network Economics, 16(4): 351–385.

Witten IH, Frank E, Hall MA, et al., 2005, Practical Machine Learning Tools and Techniques. Data Mining, 2(4).

Abbing H, 2008, Why Are Artists Poor? The Exceptional Economy of the Arts. Amsterdam University Press, Amsterdam.

Jia K, Kenney M, Zysman J, 2018, Global Competitors? Mapping the Internationalization Strategies of Chinese Digital Platform Firms. International Business in the Information and Digital Age, 13: 187–215.

Collie N, Wilson-Barnao C, 2020, Playing with TikTok: Algorithmic Culture and the Future of Creative Work. The Future of Creative Work, 172–188.

Wikstrom P, 2020, The Music Industry: Music in the Cloud, John Wiley & Sons, New Jersey.

Thomson K, 2013, Roles, Revenue, and Responsibilities: The Changing Nature of Being a Working Musician. Work and Occupations, 40(4): 514–525.

Previous article in this issue

Next article in this issue