Abstract
Artificial intelligence (AI) is rapidly transforming the music industry by reshaping
creative processes, lowering barriers to entry, and redefining governance structures. This
article examines AI’s dual role as both a catalyst for innovation and a potential source
of artistic and economic disruption. On the creative front, AI-assisted tools enable rapid
composition, personalized learning, and new forms of experimentation; however, they also risk
homogenization, cognitive dependency, and diminished originality. From the standpoint of
accessibility, AI democratizes music production by reducing costs and technical barriers, yet
disparities in digital access and algorithmic visibility persist. Governance challenges are equally
significant, as AI-driven platforms influence discovery, revenue distribution, and authorship
attribution, often reinforcing existing power asymmetries. To address these concerns, this
article evaluates emerging decentralized frameworks, particularly blockchain and Web3
systems, which offer mechanisms for transparent attribution, equitable royalty distribution,
and participatory governance. These technologies provide a potential counterbalance to
centralized algorithmic control, enabling more artist-centered ecosystems. Ultimately, the
impact of AI in music depends not on the technology itself but on the institutional structures
guiding its use. Thoughtful integration can position AI as an augmentative tool that enhances
human creativity while preserving artistic integrity and equity.