Deezer says it receives nearly 75,000 AI-generated song submissions to its music streaming platform each day, accounting for about 44 percent of all daily uploads, as reported earlier by TechCrunch. Despite the increase in “fraudulent” uploads, Deezer says the consumption of AI songs makes up around 1 to 3 percent of total streams, as the platform continues to remove AI-generated music from its recommendation algorithm.
Deezer says AI song uploads have nearly overtaken human music
The music streaming platform says 44 percent of all daily song uploads are made with AI.
The music streaming platform says 44 percent of all daily song uploads are made with AI.


Deezer positions the tool as setting an “industry standard,” adding that the platform is currently the “only” music streaming service tagging AI-generated tracks. The service also demonetizes AI-generated songs and has stopped storing high-resolution versions of them. “AI-generated music is now far from a marginal phenomenon and as daily deliveries keep increasing, we hope the whole music ecosystem will join us in taking action to help safeguard artist’s rights and promote transparency for fans,” Deezer CEO Alexis Lanternier writes in the blog post.
As AI-powered song-making tools like Suno and Udio become more popular, music streaming services are dealing with the flood of AI tracks in different ways. While Spotify announced new policies to clamp down on AI-generated music, Apple Music is asking artists and record labels to label songs made with AI. Bandcamp has banned AI music altogether, while Qobuz has started automatically detecting and labeling AI music as well.
Since launching its tool in January 2025, Deezer says the number of AI-generated tracks uploaded daily has jumped from 10,000 to 75,000. Deezer has also started allowing other companies to license its AI song-detecting tool. As noted by Deezer, the tool can identify songs made using Udio and Suno, “with the possibility to add detection capabilities for practically any other similar tool as long as there’s access to relevant data examples.” The company is also working on a way for its music detection tool to identify songs without requiring a dataset to train on.
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