YouTube Music has announced labels that make it easy to identify songs made using generative AI. The labels will appear on the playback screen, and tapping one will show which parts of the production involved AI. Similar labels will also roll out to the main YouTube app.
The playback screen will show where AI played a role
One notable aspect of the new system is that it doesn’t reduce the question to a simple yes or no on whether AI was used. Listeners will be able to see which parts of the process AI handled, such as composition or vocals.
The labels will appear on the playback screen, where users regularly look. Rather than hiding the information deep in the settings, the design puts it somewhere listeners will naturally notice while playing a song.
YouTube has also announced plans to extend the labels to its main app, reaching people who don’t use the dedicated music app. It’s a fitting move for YouTube, where video and music go hand in hand.
AI’s involvement will be organized into three categories
Music partners can declare which of three categories applies to their work: “Fully Gen AI,” “Partly Gen AI” or “No Gen AI.”
“Fully Gen AI” applies when a song is generated entirely by AI. “Partly Gen AI” refers to work that incorporates AI-generated elements alongside contributions from the artist, such as live performance. “No Gen AI” includes songs edited with pitch-correction tools such as Auto-Tune.
The distinction is a subtle but important one. Pitch correction is a technology that has been used in studios for years, and it is treated separately from generative AI. At a time when the term “AI” is often used as a catchall, this classification could help prevent listeners from misunderstanding how it was used.
A system that doesn’t rely on self-reporting alone
YouTube says it will work with music partners and use its own detection tools to identify AI-generated music.
Relying solely on self-reporting could give an advantage to those who choose not to disclose their use of AI. Using detection tools as well helps establish a foundation for trustworthy labeling. Since the presence or absence of a label will inform listeners’ decisions, the system behind the scenes will be crucial.
Other companies choose exclusion; YouTube opts for disclosure
The influx of AI-generated music is a shared challenge across the industry, but companies differ in their responses. Apple Music plans to introduce “Made With AI” labels in the second half of this year as part of its AI Transparency Tags. Spotify also offers AI labels and a music spam filter.
Deezer takes the toughest stance. In July, it reported receiving nearly 90,000 fully AI-generated tracks per day. It labels detected tracks, excludes them from algorithmic recommendations and editorial playlists, and does not pay royalties on fraudulent streams. The company is also preparing an option to filter out AI-generated music.
TIDAL also labels recordings it determines to be fully AI-generated. Listeners can hide them, and they are excluded from royalty distribution.
A choice not to stop monetization
Unlike these services, YouTube is focusing on disclosure rather than blanket restrictions. The new labels are meant to inform listeners about AI’s role; a song won’t be barred from monetization simply because AI was involved.
YouTube itself is also experimenting with AI-powered music creation. Dream Track is a tool that lets some creators generate soundtracks using AI-replicated voices of participating artists.
One approach excludes AI-generated music; the other makes it visible and lets listeners choose. Which is right depends on what listeners want. But as the binary distinction between “AI” and “human” becomes harder to sustain, showing who did what could broaden the ways people enjoy music. The system’s value will depend on how reporting and detection are handled, and how clearly the labels are presented.
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