Warner Music Group made a controversial choice: instead of continuing its copyright battle with Suno, it settled the dispute and became a partner. CEO Robert Kyncl now explains why he believes licensing AI may protect artists better than trying to eliminate it.
Warner Music Group is taking a very different approach to generative AI music.
While Sony Music and Universal Music Group continue to pursue copyright claims against Suno, Warner decided in November 2025 to settle its litigation and sign a commercial partnership with the AI music company.
In a new interview published by Semafor on August 14, Warner Music Group CEO Robert Kyncl explained the logic behind that decision: when a technology already has a large and engaged audience, trying to destroy it may simply push users toward other platforms that are even harder for the music industry to control.
Warner’s strategy is therefore not to ignore the risks of AI. It is to try to bring successful AI platforms inside a licensed ecosystem where artists and songwriters can theoretically control how their work and identity are used and receive a share of the resulting revenue.
Key Facts
- Warner Music Group settled its copyright litigation with Suno in November 2025.
- The companies then announced a partnership around licensed AI music.
- Warner requires licensed models and opt-in controls for certain artist uses.
- Robert Kyncl believes successful AI services should be brought into a licensed market rather than simply eliminated.
- Warner sees AI creation tools as a potential new revenue stream.
- Kyncl also warns that uncontrolled AI content could compete with human artists for listening time and royalties.
Photo: RDNE Stock project / Pexels
Warner Decided That Suno Was Too Big to Ignore
Kyncl’s reasoning begins with something extremely simple: users.
Suno had already developed significant consumer traction by the time Warner reached its agreement with the company. From Kyncl’s perspective, that audience matters because consumer behaviour cannot always be reversed through litigation.
He argues that when an AI company has already attracted a meaningful audience and is willing to transition toward licensed models, the music industry has an opportunity to transform that popularity into a legitimate commercial market.
The alternative, in Warner’s view, could be worse.
If a successful AI platform were shut down, users might simply migrate to another service, including open-source or offshore systems where labels, publishers and artists have far less ability to negotiate protections or compensation.
Audiartist Analysis
Warner’s argument is pragmatic rather than ideological: AI music creation is already here, so the company would rather control part of the market than force users toward systems that operate completely outside the traditional music business.
Kyncl Has Seen This Movie Before
Kyncl’s position is heavily influenced by his previous experience at YouTube.
Before joining Warner Music Group, he served as YouTube’s Chief Business Officer and was involved in the company’s difficult early relationship with copyright owners.
YouTube once faced widespread complaints and litigation because users uploaded enormous quantities of copyrighted music and video. Instead of eliminating user-generated content, the platform eventually developed licensing systems and technologies such as Content ID that allowed rights holders to identify uses and monetize them.
Kyncl told Semafor that he sees an important parallel between that era and the current AI music boom. In his view, the objective should be to harness consumer behaviour in ways that support the underlying intellectual property rather than simply trying to suppress the behaviour altogether.
He described AI as essentially a far more powerful evolution of user-generated content.
There is, however, one major difference.
Traditional user-generated content generally reuses an existing recording. Generative AI can modify, imitate and reconstruct musical elements, making the rights questions considerably more complicated. Kyncl acknowledges that this is precisely why stronger guardrails are necessary.
Warner’s Three Rules for AI
Warner has previously published three principles that it describes as non-negotiable for AI partnerships.
First, partners must commit to using licensed models.
Second, commercial terms must properly reflect the value of music.
Third, artists and songwriters must have the ability to opt in when their name, image, likeness or voice is used in new AI-generated songs.
Warner summarizes its broader strategy with three verbs: legislate, litigate, license.
The company supports legislation when new rules are necessary, uses litigation against actors it considers harmful, and sees licensing as the ultimate mechanism for transforming new technology into a commercial market.
That final part explains why the Suno dispute ended differently from many expected.
Warner did litigate.
Then it licensed.
Photo: Mikhail Nilov / Pexels
The Suno Agreement Changed the Relationship
Warner and Suno announced their partnership on November 25, 2025.
The agreement resolved the previous litigation between the companies while establishing a framework for next-generation licensed AI music products. Warner said participating artists and songwriters would retain control over whether and how their names, images, likenesses, voices and compositions are used.
Suno also committed to developing new licensed music models. Its existing generation of models is expected to be replaced as the company’s licensed infrastructure expands.
The partnership also transferred Songkick, Warner’s concert-discovery service, to Suno, giving the AI company another connection to the traditional artist and live-music ecosystem.
The result is unusual.
A company Warner once accused of copyright infringement is now helping Warner explore new forms of AI music creation and fan interaction.
AI Could Create a Completely New Revenue Stream
Kyncl’s enthusiasm is also economic.
Music listeners traditionally pay primarily for access to recordings. AI creation tools introduce a second opportunity: consumers may also pay to make music.
Kyncl argues that people already spend money on recording studios, creative software and tools such as GarageBand. Generative AI expands that market beyond professional musicians because casual users can also pay for tools that allow them to create songs.
For a record company, that could create an entirely new business category.
Instead of earning money only when listeners consume an artist’s recording, rights holders could potentially participate financially when fans use licensed artist material inside creative AI experiences.
Warner believes that could increase the overall value generated by music rather than simply divide existing streaming revenue into smaller pieces.
The Warner Bet
If fans are going to pay for AI creation tools anyway, Warner wants artists and songwriters inside that transaction rather than watching the money flow entirely to technology companies.
But Kyncl Also Sees a Serious Threat
Warner’s position should not be confused with unconditional enthusiasm for AI-generated music.
Kyncl identifies a scenario that could be extremely damaging to human musicians: enormous quantities of average AI-generated music absorbing passive listening time on streaming platforms.
Even if that material never produces superstar AI artists, it could still occupy playlists, recommendation systems and background listening environments.
If that happens, human artists could receive a smaller share of the total royalty pool simply because more listening time is being captured by cheaply generated content.
This may be a much more realistic threat than an AI-generated superstar replacing Taylor Swift or another major performer.
A few synthetic hits are visible.
Millions of anonymous background tracks are not.
Yet those tracks could collectively have a much larger economic effect.
Licensing Does Not Remove Every Problem
Warner’s strategy sounds attractive: license the models, compensate creators and create strict opt-in systems.
But significant questions remain.
- How much will individual artists actually earn from AI licensing?
- How will the influence of a particular recording on a generated song be measured?
- Can an artist withdraw permission after a model has already been trained?
- Will independent musicians receive equivalent opportunities?
- How will platforms prevent licensed AI music from overwhelming streaming catalogues?
- Who decides when an AI output becomes too similar to an existing artist?
None of these issues is automatically solved simply because a record company and an AI platform have signed a contract.
Licensing provides a legal framework. It does not necessarily provide a complete technical or ethical solution.
Could Major Labels Gain Even More Power?
There is also a less discussed consequence.
Large record companies are in a strong position to negotiate with AI companies because they control enormous catalogues of commercially valuable music.
An independent musician does not have the same bargaining power.
If the AI music economy develops primarily through large catalogue agreements, major labels could become even more important gatekeepers.
The technology is often described as democratizing music creation, but the licensed training economy could potentially become concentrated around the companies that own or administer the largest bodies of music.
That contradiction will be worth watching.
Photo: Dainé Zeferino / Pexels
Human Artists Still Matter to Warner’s Strategy
Perhaps surprisingly, Kyncl does not appear convinced that AI-generated performers will simply replace traditional artists.
He argues that as more parts of everyday life become digital and automated, audiences may place even greater value on recognizably human experiences.
Live performances, personality, career history and the relationship between fans and artists all create something that synthetic music cannot easily reproduce.
For Warner, discovering and developing human artists therefore remains the core business.
AI is being treated simultaneously as a threat that must be controlled and a new commercial opportunity that should not be wasted.
Why Warner Refuses to Fight the Last War
The biggest lesson from Kyncl’s comments comes from the history of digital media.
The music industry spent years fighting file sharing. Hollywood initially underestimated streaming. Record labels fought YouTube before learning how to monetize user-generated content.
Warner does not want AI to become another technology where the industry waits until consumer behaviour is already established before trying to build a business model.
Kyncl believes that delaying allows technology companies and users to define the market without the music industry’s participation. Warner therefore wants to be involved while the rules are still being written.
That explains the Suno partnership better than any simple claim that Warner has suddenly become « pro-AI. »
The company is attempting to make sure that if generative music becomes a major market, it is a market in which Warner and its artists have influence.
Conclusion
Warner Music Group’s decision to work with Suno is ultimately a calculated bet.
Robert Kyncl believes that eliminating a popular AI service may simply send its users somewhere less regulated. Bringing that service into a licensed ecosystem, by contrast, offers the possibility of establishing rules, protecting artist identities and creating new revenue.
That strategy has clear advantages.
It also carries significant risks.
Licensed AI could still flood streaming platforms with inexpensive content. The economics for individual musicians remain unclear. Large catalogue owners may gain disproportionate influence, and no licensing agreement completely answers the creative questions surrounding imitation and model training.
Warner nevertheless appears convinced that refusing to participate would be the greater risk.
Its strategy is no longer simply to fight AI. It is to make sure the music industry owns a meaningful part of whatever AI music becomes next.
