AI-generated music has crossed another uncomfortable threshold, accounting for more than half of all new tracks delivered to Deezer on peak days during June. The streaming service says it is now receiving almost 90,000 fully AI-generated tracks every day. That is up from 75,000 tracks, or 44 per cent of daily deliveries, reported in April 2026, and just 10,000 tracks when Deezer introduced its detection system in January 2025.

The volume is striking, but it should not be confused with genuine listener demand. Fully AI-generated music reportedly represents only one to three per cent of streams on Deezer, while the company identified up to 85 per cent of streams attached to those tracks as fraudulent during 2025. In other words, synthetic music may be flooding the catalogue, but relatively little of it appears to be attracting an audience honestly.

Deezer is responding by tightening its removal policy. Fully AI-generated tracks connected to streaming fraud will now be systematically taken down, rather than merely having their manipulated plays excluded from royalty calculations. AI tracks that have not received a stream for at least six months will also be removed.

Alexis Lanternier, CEO of Deezer, says the latest milestone requires a broader industry response:

Now that half of all daily uploads are AI-generated tracks, we are taking additional steps to safeguard the rights of artists and songwriters, while maintaining focus on music that fans actually love.

Lanternier added that shared standards would be needed to create a sustainable music ecosystem in which “great music wins”.

Deezer introduced its proprietary detection technology in January 2025 with the system looking for signatures left by generative platforms including Suno and Udio, allowing fully synthetic recordings to be identified even when they have not been declared as such by their distributor.

The service began visibly labelling albums containing AI-generated music in June 2025 and automatically excludes detected tracks from editorial playlists and algorithmic recommendations. More than 13.4 million AI-generated tracks were detected and tagged during 2025 alone. Deezer has since begun licensing its detection technology to other music-industry organisations.

The new figures arrive as streaming platforms adopt markedly different approaches to the synthetic-content problem. As StereoNET recently reported, TIDAL has stopped paying royalties on wholly AI-generated music while introducing listener-facing labels and removing material connected to fraud.

Qobuz has also introduced its own detection and tagging system, while keeping fully synthetic recordings away from its human-curated recommendations. Spotify has instead focused partly on identifying authentic performers through its new “Verified by Spotify” artist badge.

That distinction matters because verification, labelling and removal solve different parts of the problem. As StereoNET's Marc Rushton discovered when he was served a convincing band that did not exist, listeners can already struggle to separate synthetic acts from human musicians.

In this writer’s own experience, Deezer has excluded detected AI-generated tracks from Flow and other algorithmic recommendations since launching its detection system in January 2025, before adding visible labels in June that year. Knowing those recommendations helpfully leads towards real artists, rather than synthetic catalogue filler, is an important distinction.

Deezer’s latest figures add a more troubling note, suggesting that labelling alone may no longer be enough. When synthetic tracks outnumber human-made uploads, streaming services must decide not only how to identify them, but whether they belong in the catalogue at all.

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Jason Sexton

Editor – Australia & NZ

Jason joined StereoNET in 2025 and now serves as ANZ Editor, bringing decades of experience in marketing, brand development, and specialist hi-fi retail. His listener-first approach delivers grounded insights that cut through the noise. Outside audio, he’s into cars, trail riding, 80s nostalgia, and guitar.

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