Spotify Is Building a Tool to Stop AI Slop From Hijacking Real Artists' Profiles — Here's Why That Problem Is Harder Than It Sounds

False attribution is quietly corrupting artist discographies, and Spotify's fix exposes a deeper infrastructure problem.

Your Favourite Artist Has a Stranger's Songs on Their Profile

Here's the problem that's worse than just bad music clogging search results: AI-generated tracks are being tagged with real artists' names and landing directly on their official Spotify profiles — corrupting discographies, muddying listener data, and eroding the artist identity that musicians spend careers building. This isn't hypothetical. Sony recently requested the removal of more than 135,000 AI-generated songs from Spotify after discovering the tracks were impersonating real artists. Even bands that have left the platform aren't safe — King Gizzard & the Lizard Wizard quit Spotify last year to protest CEO Daniel Ek's investment in a weapons manufacturing company, only to have a deepfake artist fill the vacuum they left behind. Spotify itself acknowledged the scope in a blog post: "Music has been landing on the wrong artist pages across streaming services, and the rise of easy-to-produce AI tracks has made the problem worse."

50,000 Uploads a Day: Why the Platform's Plumbing Wasn't Built for This

The scale of what Spotify is absorbing makes the attribution problem almost inevitable. Estimates suggest around 50,000 AI-generated songs are uploaded to the platform every single day. Spotify deleted 75 million of these tracks last year alone — a number that reveals just how thoroughly the platform's volume-first ingestion model has been weaponised. The metadata and attribution systems that match a song to an artist profile were designed for a world where uploads were relatively scarce and mostly legitimate. They were never hardened against adversarial tagging at industrial scale. Some misattribution is genuinely accidental — pure statistical spillover when the upload volume is that enormous. But bad actors are also deliberately attaching their AI output to known artist names to ride existing audiences, compounding the structural vulnerability. Spotify's response is a new feature called Artist Profile Protection, currently in beta, which lets musicians review releases before they go live and become associated with their profiles.

What the Fix Actually Does — and What It Doesn't Solve

The Artist Profile Protection tool is straightforward in design: if an artist denies a track, it won't be associated with their profile, won't contribute to their stats, and won't appear in user recommendations. That's a meaningful gate — giving artists final say when, as Spotify puts it, 100 songs suddenly appear that "sort of sound like them but with all of that pesky soul removed." The tool is still in beta, and Spotify has not announced when it will roll out to all artists on the platform. The deeper issue the tool doesn't address is structural: streaming infrastructure was optimised for volume ingestion, and that architectural choice created the attack surface in the first place. Artist Profile Protection is a filter bolted onto a system that was never designed to be adversarially robust. Whether Spotify — or any streaming platform — rebuilds the underlying attribution layer is the question worth watching.