Streaming built the modern music business around one action: listening. A fan presses play, a stream is counted, and revenue moves through the rights system.
AI could introduce a second model, one where artists and songwriters earn not only when fans consume their music, but when fans create with it.
Warner Music Group CEO Robert Kyncl has described the potential for “creation-based” revenue: licensed AI platforms where artists and songwriters participate financially when fans use their work in new creative experiences. Warner’s partnership with Suno is part of that strategy, moving the conversation beyond streaming toward a model where creation itself can generate value. Axios has reported on Warner’s creation-based revenue strategy.
The economic shift is significant because it changes what a song can be.
Traditionally, a song earns through streams, purchases, licensing, performances, and other uses of the finished work. Generative platforms could add another layer: the song becomes licensed creative material that continues generating revenue when fans make covers, remixes, reinterpretations, or other derivative experiences.
That creates a different kind of catalog value. Instead of earning only when the original recording is consumed, a song could become the foundation for ongoing paid creative activity.
Spotify is already exploring this model. Through agreements with Universal Music Group and other rights holders, the company is developing AI-powered tools that would allow users to create licensed covers and remixes from participating catalogs. Spotify has described the UMG product as a paid Premium add-on designed to create additional revenue for participating artists and songwriters, while subsequent agreements with companies including Believe have expanded the group of rights holders involved. Read Spotify’s announcement with UMG.
This could introduce a new layer to the artist-fan relationship. A listener has traditionally created economic value by streaming a song, buying a ticket, purchasing merchandise, or licensing music. In a creation-based model, that same fan could pay to interact with the catalog itself.
The distinction is important. A stream monetizes attention. A generative experience could monetize participation.
For artists and songwriters, that could mean a successful song has value beyond the number of times the original recording is played. The stronger the connection between a fan and a piece of music, the more opportunities there may be to create with it.
Of course, the model depends on clear licensing, attribution, artist choice, and compensation. But those safeguards are the infrastructure around the larger economic idea, not the idea itself. The real opportunity is turning music from a product people primarily consume into intellectual property they can also interact with in paid, authorized ways.
That could change how catalogs are valued. A track with strong cultural recognition might not only generate decades of streaming and licensing revenue. It could support an entire ecosystem of authorized fan creation around it.
Streaming turned access into a business model.
Generative AI could do something similar with participation.
If that happens, the next meaningful source of music revenue may not come from persuading fans to stream the same song one more time. It may come from giving them permission to do something new with it.
Want to follow how AI is changing the business of music? Explore more analysis and conversations at RealMusic.ai.
