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Streaming platforms tighten labeling of AI-generated music

Lev Shevtsov 06 September 2026 01:12
Streaming platforms tighten labeling of AI-generated music

A Bloomberg Opinion column published by Channel NewsAsia discusses new restrictions on music created entirely or predominantly by artificial intelligence. Streaming platform Tidal said it would label such tracks and would not allow them to be monetized.

Tidal's policy applies to music that AI created “entirely or to a significant extent.” The company also said it would review its rules as technology develops. Spotify said that from mid-September it would clearly label AI-generated “personas” and exclude them from algorithmic playlists. Apple, for its part, promised to label AI-created music in Apple Music.

Calls for common rules

These steps followed a proposal by the International Federation of the Phonographic Industry (IFPI), which in July called for a clear and standardized system for labeling AI-generated music. At the same time, the line between an AI track and a composition in which artificial intelligence was used only as a tool remains a matter of debate. For example, AI can create a drum part for a work that a person wrote and performed independently.

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In Australia, the Australian Recording Industry Association (ARIA) barred fully AI-generated music from entering its charts. The decision was made after the popularity of an AI-created Madonna cover. ARIA defines such music as a work in which artificial intelligence generated all or the main part of the creative elements.

Detecting AI tracks

According to Deezer, in June more than 50% of tracks uploaded to the platform were detected as AI-generated. The author of the column notes that as technology improves, determining the use of artificial intelligence may become more difficult.

The Suno service introduced export restrictions to make it harder to mass-upload hundreds of tracks to streaming platforms for royalties. The company also said it intended to work with streaming services to develop standards for watermarks and digital fingerprinting technologies to identify AI tracks.

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