Lothe, Nkosinathi2025-02-192024Lothe, Nkosinathi. (2024). The implication of AI-generated music on the industry's business model [Master’s dissertation, University of the Witwatersrand, Johannesburg].WireDSpace.https://hdl.handle.net/10539/43925A research report submitted in partial fulfillment of the requirements for the degree of Master of Management in the field of Digital Business to the Faculty of Commerce, Law, and Management, Wits Business School, University of the Witwatersrand, Johannesburg, 2024This research report explores how AI-generated music is changing the traditional music industry model. The study uses qualitative research to examine how AI technology affects music creation, distribution, and consumption. It uncovers the challenges and opportunities AI-generated music brings to different music industry players. The research gives insights into how music production is evolving in the digital age by analysing user views, legal frameworks, and economic impacts. Stakeholders can adapt to the changing industry landscape by understanding how AI impacts music. The study shows how AI reshapes music creation and distribution, offering new possibilities for artists and businesses. As technology continues to influence the music industry, grasping the implications of AI- generated music is crucial for staying relevant and innovative in this dynamic environmenten© 2025 University of the Witwatersrand, Johannesburg. All rights reserved. The copyright in this work vests in the University of the Witwatersrand, Johannesburg. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of University of the Witwatersrand, Johannesburg.AI Generated musicGenerative AIMusic industryMusicArtificial IntelligenceImplication of AUCTDSDG-8: Decent work and economic growthDissertationUniversity of the Witwatersrand, Johannesburg