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Spotify and Universal sign AI licensing deal for covers and remixes

▼ Summary

– Spotify and Universal Music Group have signed licensing agreements allowing premium subscribers to generate AI covers and remixes of songs by participating UMG artists, with no public release date or financial terms disclosed.
– The deal is the first formal licensing of generative AI on Spotify’s catalogue, built on a model of “consent, credit, and compensation” where opting-in artists and songwriters receive a share of revenue.
– Which UMG artists have signed on was not disclosed, though the label’s roster includes major names like Taylor Swift and Drake, without implying their participation.
– The licensing model aims to settle legal grey zones by clearing rights at the platform layer, contrasting with lawsuits against unlicensed AI music services like Suno and Udio.
– Spotify shares rose 14-16% on the day, as the deal offers a new revenue line amid maturing core subscriptions, though songwriters’ revenue share remains unclear.

Starting this week, Spotify Premium subscribers will gain the ability to create AI-generated covers and remixes of songs from participating Universal Music Group artists, following a newly signed licensing agreement between the two companies. The announcement, made on Thursday, marks the first time the streaming giant has formally licensed generative AI atop its existing catalog, offering the most concrete framework yet from the major-label system on how AI-produced music should generate revenue.

The product is described as a paid add-on for Premium users, though no public release date has been set. Both Spotify and UMG emphasize that the model is built around consent, credit, and compensation.” Artists and songwriters can opt in, and they will receive a share of the revenue generated from AI versions of their work. Which UMG artists have signed on remains undisclosed; the label’s roster includes Taylor Swift, Ariana Grande, Drake, and Billie Eilish, though that does not confirm any of them have agreed to participate.

Financial markets responded positively to the news. Spotify shares climbed roughly 14-16% on the day, reflecting investor belief that AI-generated remixes provide a new revenue stream at a time when the company’s core subscription business is maturing. The companies did not disclose financial terms, including how revenue will be split between Spotify, UMG, and individual artists.

This licensing model is significant because it attempts to resolve a long-standing gray area. Over the past two years, AI music tools like Suno and Udio have operated in a legal vacuum, facing lawsuits from major labels for training on copyrighted catalogs without permission. By licensing rights at the platform level and allowing users to generate content within Spotify rather than uploading AI tracks to it, the two companies are creating a structure where the label, artist, songwriter, and platform all collect on the same generated file.

The risk Spotify must manage is one it has been criticized for failing to address adequately in the past. The platform has faced accusations of allowing AI-generated tracks to proliferate on the catalogs of deceased artists without estate approval, and of being slow to label or detect AI music in general , a contrast TNW covered in detail last year. A licensed creator tool with upfront rights clearance presents a cleaner narrative for investors and regulators than an enforcement system trying to police uploads after the fact.

Whether it is a cleaner story for artists depends entirely on terms that have not been made public. Songwriters have historically received the smallest share of streaming revenue. The unanswered question is whether this new licensing tier corrects that imbalance or simply adds another revenue category on top of an existing disparity.

The deal also arrives the same week that Spotify’s catalog of AI-generated content remained, by its own admission, unlabeled. The remix product, when it launches, will be the first AI music on the platform with proper paperwork attached. The rest of the catalog remains the harder problem to solve.

(Source: The Next Web)

Topics

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