YouTube Music has started putting a small label on songs that were made mostly by AI. The change went live on 14 October, and YouTube says the same labels will come to the main YouTube app as well. For most of the Bhojpuri, Haryanvi and devotional artists we work with, this won't change a thing. For a few, it will, and the difference comes down to one line of metadata that a lot of people never think about.
What YouTube actually announced
In its official blog post, YouTube said the label appears on the player page when "AI played a significant role" in a track, for example when a generative model created both the composition and the vocals. Tap the label and you get a short explanation.
How does YouTube decide? Two ways. Music partners, meaning labels and distributors, declare it when they deliver the song. And YouTube runs its own detection on top of that.
According to MediaNama, which cited TechCrunch, the label does not change whether a track can earn money. YouTube hasn't said whether it affects recommendations.
The three boxes every song now falls into
The detail that matters is on YouTube's help page, Disclose Gen AI usage for music content. Partners can mark each track as one of three things:
- Fully Gen AI. Someone typed a prompt into an AI music generator and downloaded the result. Or used AI for the composition, the instruments and the vocals, refining it over several prompts.
- Partly Gen AI. An artist generated one layer with AI, say a bassline or a string section, and recorded their own vocals and instruments over it. Using AI to brainstorm or co-write lyrics or melodies also counts, and so does a song that's fully human but has an AI-made music video.
- No Gen AI. Normal Auto-Tune on a live vocal is fine here. So is automated AI mastering.
That last point is worth repeating, because we get this question a lot. If your engineer in Patna or Rohtak used pitch correction or an AI mastering tool, YouTube's own examples put that under No Gen AI.
There's one more line in that help page that people will miss. If a partner leaves the field blank, YouTube treats it as unknown and relies on its own signals, which "may designate content as fully or partly Gen AI." So staying quiet doesn't keep you out of the system. It just hands the decision to YouTube's detector.
Why Indian artists should pay attention
India has its own rules now. MediaNama points out that the IT Amendment Rules, 2026, in force since 20 February, require platforms to label synthetically generated content that looks or sounds real. MeitY also sent platforms an advisory on 8 October asking them to label manipulated and synthetic content. Whether a fully AI song counts under the Indian rules is still unclear, especially if it doesn't imitate a real singer. But the direction is obvious. Platforms are going to ask more questions, not fewer.
YouTube isn't alone either. The same MediaNama report says Deezer gets close to 90,000 fully AI-generated tracks a day and keeps them out of algorithmic and editorial playlists. Spotify shows AI use in credits based on what labels and distributors declare, and Apple Music has added AI transparency tags for distributors.
Now picture how this plays out on the ground. A devotional label in Rajasthan puts out twenty bhajans a month, and a few use AI vocals because the budget for singers is tight. Those songs will probably carry a label from now on. That's not a ban. But listeners will see it, and if the label didn't declare it and YouTube's detector flagged it anyway, it looks worse.
Or take a Haryanvi singer who wrote and sang the song but asked an AI tool for a hook idea. Going by YouTube's examples, that's Partly Gen AI. Honest, and probably nothing a listener will hold against them.
What to do before your next release
1. Be honest with yourself about how the song was made. Write it down while it's fresh: who wrote the lyrics, who sang, which tools touched the audio. 2. Tell your distributor before the song goes out. The declaration usually travels with your release metadata, so the person filling in your release details needs to know. 3. Don't upload AI vocals that copy a known singer. That's a separate problem from labelling, and it can get a song pulled. 4. Keep your project files. If a track gets flagged by mistake, the stems and session files are your proof that a human made it. 5. Check your older catalogue. If you released AI-heavy tracks last year without saying so, ask your distributor whether the declaration can be updated. YouTube's own templates include an "unknown" value for resetting a wrong one.
Where RMX stands
At RMX Music we've delivered 20,000+ tracks for 3,000+ artists and 2,200+ labels, and the releases that run into trouble are almost never the ones made with a cheap mic in a small room. They're the ones where the paperwork didn't match the song. AI disclosure is now part of that paperwork. Fill it in properly and you have nothing to worry about.
If you want a distributor that sends your music to 95+ platforms, lets you keep 95% of royalties, and has a lifetime Label plan at ₹4,500 (or ₹15,000 for an Agent account), you can create your RMX Music account here and tell us how your next song was made. We'll help you get the details right before it goes live.