Suno steps up efforts to reshape AI music regulation and distribution amid legal challenges, introducing new licensing agreements, technological safeguards, and a vinyl pressing service to distinguish professional use and secure revenue streams.
Suno is moving quickly to rebuild the commercial rules around its platform as it prepares to retire its existing AI music models and replace them with a new generation developed with the music industry, the company said on Monday August 10. In the space of just over a week, the company has paired a rights deal with BMG, tighter controls on downloads, new watermarking and fingerprinting tools, a major update to its Studio product and a plan to bring AI-generated songs onto vinyl.
The clearest sign of that reset came on August 12, when Suno announced a global alliance with BMG covering the German group’s recorded music and publishing catalogues. According to Music Business Worldwide, the agreement settles Suno’s earlier use of BMG material. BMG was not among the plaintiffs in the RIAA-backed litigation filed against Suno in 2024, so there was no lawsuit to resolve, only prior use to license. The deal makes BMG the first major rights holder to strike a licensing arrangement with Suno since Warner settled its own case last year.
Suno has also begun putting hard limits on how much output users can take off the platform. Free accounts will get up to seven lifetime trial downloads, while Pro subscribers will receive 20 each month and Premier subscribers 60, the company said. From September 3, a track stored in a paying user’s library cannot be released, sold or licensed until one of those downloads has been used. Free-tier downloads carry no commercial rights at all. In practice, that makes downloads the gatekeeper for getting Suno-made music into streaming services or other paid distribution channels.
At the same time, Suno is adding watermarking and fingerprinting systems that it says will help distribution partners detect fraud and misuse. The company has said the tools will be durable, resistant to tampering and invisible to listeners. That matters because streaming services already penalise suspicious activity: Spotify charges labels and distributors a monthly fee per track when it detects flagrant artificial streaming, and distributors often pass that cost on to customers. Suno’s aim is to make AI-generated tracks easier to identify before they enter the supply chain and trigger those penalties.
The company is not removing every route to professional use. On August 13, Suno launched Studio 2.0, adding MIDI, stem separation, audio effects, automation and a beta chat bar. Premier subscribers can export 32-bit, 48kHz multitracks and stems without limits, which leaves the studio workflow outside the new download caps. The update suggests Suno is drawing a sharper line between casual consumption of AI music and professional production.
It has also opened a waitlist for Suno Vinyl, a service that will press songs created on the platform onto 12-inch records. Users will be able to compile up to 46 minutes from their library, with pricing estimated at $45 plus shipping. Suno says the record will be a genuine pressed product rather than a novelty cut. Commercially, it creates a revenue stream that bypasses digital distributors altogether.
All of this sits against a difficult legal backdrop. Universal Music Group, Sony Music and Warner Music sued Suno and Udio in 2024 in a case coordinated by the RIAA, alleging mass infringement. Universal and Sony remain plaintiffs against Suno and are seeking to broaden the case to more than 61,000 works. Separately, the German collecting society GEMA won a ruling against Suno in Munich last month, although Suno says it is still considering an appeal. The American Federation of Musicians is also pursuing claims that major labels licensed members’ recordings to AI firms without proper payment or credit. Taken together, the picture is of a company trying to formalise rights, impose controls and keep professional users engaged while the courts decide how much of the old model survives.
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