Fifteen months ago, Deezer was receiving 10,000 fully AI-generated tracks per day. As of April 20, that number is 75,000. The trajectory tells you everything about where this is headed and why the industry needs to move faster than it currently is.
The Paris-based streaming platform released updated figures Monday showing that AI-generated music now accounts for more than 44% of all new tracks delivered to Deezer daily, up from 39% in January, 34% in November, and roughly 20% in September. That works out to more than two million AI tracks hitting the platform every month. As Billboard noted, if 44% of daily uploads equals 75,000 tracks, that implies Deezer is now receiving over 170,000 songs per day in total, a figure significantly higher than the 100,000 daily uploads Luminate reported across all platforms in its 2025 year-end study.
The consumption picture is the critical counterpoint to those upload numbers. Despite representing nearly half of all new music delivered to the platform, AI-generated tracks account for only 1 to 3% of total streams on Deezer, and 85% of even those streams are flagged as fraudulent and demonetized. The volume problem, in other words, is not yet a listening problem. It is a royalty dilution problem, a catalog pollution problem, and increasingly a storage and infrastructure problem, which is why Deezer announced Monday that it has now stopped storing hi-res versions of AI-generated tracks, extending an existing policy of excluding such content from algorithmic recommendations and editorial playlists.
Deezer CEO Alexis Lanternier framed the situation as an industry-wide call to action: “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 artists’ rights and promote transparency for fans. Thanks to our technology and the proactive measures we put in place more than a year ago, we have shown that it’s possible to reduce AI-related fraud and payment dilution in streaming to a minimum.”
Deezer has been the most aggressive of any major streaming platform in building platform-level detection infrastructure. The company claims to be the first streaming service to independently detect and tag AI-generated music, a capability it launched in June 2025. It has since detected and tagged more than 13.4 million AI tracks on the platform and began commercially licensing its detection technology in January, with French collecting society Sacem as its first partner. Hungarian performers’ rights organization EJI became the latest licensee in late March, and the tool was made available more broadly in March through Deezer’s revamped B2B unit. The company claims its detection tool can identify 100% AI-generated music from leading generative models including Suno and Udio, with capacity to add detection for other tools.
The rest of the industry is approaching the problem differently. Apple Music launched its AI Transparency Tags system in March, placing the disclosure responsibility on labels and distributors at the point of delivery rather than using platform-level detection. Spotify announced support for the new DDEX industry standard for AI disclosures in September and earlier this month launched a beta feature allowing labels and distributors to submit AI-use credits that appear in Song Credits on mobile. Qobuz, Deezer’s fellow French streaming service, announced its own proprietary detection tool in February. The approaches reflect a fundamental split in strategy: self-disclosure by supply chain participants versus active platform-level scanning. Deezer’s data suggests that supply-chain self-disclosure alone is unlikely to keep pace with what is actually being uploaded.
The financial stakes of getting this right are significant. According to a joint study by CISAC and PMP Strategy, nearly 25% of music creators’ revenues are at risk by 2028 from AI-related disruption, representing a potential impact of up to four billion euros. Deezer’s own commissioned research found that 97% of listeners cannot distinguish AI-generated from human-made music, and that 80% of people agree that fully AI-generated music should be clearly labeled. The gap between what listeners think they are hearing and what is actually being uploaded is the core problem the industry has yet to solve at scale, and Deezer’s numbers suggest the window for solving it is narrowing quickly.
