Suno’s Licensed AI Bet Tests Whether Labels Can Turn a Pirate Into a Partner

Suno’s Licensed AI Bet Tests Whether Labels Can Turn a Pirate Into a Partner
Suno arrived four years ago with a simple proposition: type a few words and generate a song. The company says more than 100 million people have since used the service, including two million paying subscribers, while chief executive Mikey Shulman frames its purpose in almost disarmingly human terms: “The company exists to let people feel those warm and fuzzy feelings of being creative.”

That promise landed in an industry that saw something far more threatening. Major labels accused Suno of copyright infringement at industrial scale in a 2024 lawsuit; Warner Music Group was among the plaintiffs before later reaching a deal with the company. Music publisher Round Hill has filed a separate suit, and Jason Isbell and other musicians recently brought a class action alleging that Suno exploited artists’ identities without consent. Suno disputes those claims.

The new v6 release is the company’s attempt to change the terms of the argument. Developed with Warner, BMG and Believe, the models were trained on licensed Warner music alongside Suno user data, according to the company. Suno says the system blocks direct prompts to imitate known artists or songs, offers more detailed editing controls, and will retire its earlier models. Its agreements also include revenue sharing for rightsholders, though financial terms remain undisclosed.

For Warner, the decision to settle and participate reflects calculation rather than surrender. “By being early, you have a seat at the table,” Warner chief Robert Kyncl said, contrasting partnership with simply “pursuing lawsuits.” Believe’s involvement is especially notable: it had blocked distribution of Suno-made music only last April.

Suno product chief Jack Brody insists the deals are not merely about training data but about jointly building products with labels and artists. Singer-songwriter Ali Gatie, who now uses AI to turn rough ideas into demos and lets fans remix his work, shares that conditional optimism: artists, he argues, should help make AI “a net positive for music” rather than ignore it.

The v6 launch does not erase the litigation. It does, however, put a commercial alternative on the table: opt in, share the revenue—and see whether the industry’s deepest mistrust can be monetized into coexistence.

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