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YOUTUBE MUSIC AND DEEZER TO LABEL AI-GENERATED TRACKS

THU 15 OCT 2026 INTERNET/SOCIAL

YouTube Music has announced a labelling system to flag songs created primarily using generative AI, the company said in a press release. Labels will appear on the player page within the YouTube Music and YouTube apps, and users can click them to see a pop-up with further information on how AI was used in the track, including in composition and vocals. Separately, music streaming service Deezer said it will introduce a toggle before the end of 2026 allowing users to exclude AI-generated music from their feeds entirely. Deezer said the feature is designed to "improve the user experience" and focus attention on human creators. Both companies said the changes follow demand from listeners for greater transparency about AI's role in the music they hear.

Deezer chief executive Alexis Lanternier said the growth of AI-generated content continues to affect "the whole music ecosystem", and said the company wants to shape a future based on transparency and choice that respects artists, songwriters and fans. He said Deezer aims to minimise negative effects of AI while giving users greater control over their listening experience. YouTube said its listeners had told the company they wanted to know when they were hearing an AI-generated track. Deezer said it has detected and removed more than 42 million AI-generated tracks from its recommendation system and tagged over 14 million albums as machine-made. Apple Music has previously said more than a third of its uploads are "100% AI", according to one of the reports.

The moves come as streaming platforms face differing views on AI-generated music, with some users reportedly wanting it excluded altogether. Deezer's opt-out toggle is expected to roll out by the end of 2026, while YouTube Music's labelling system is being introduced now. Both companies frame the changes as responses to user demand rather than regulatory requirements. Neither company detailed how AI-generated tracks are technically identified beyond existing detection systems already in use.

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