I typed "a lonely synthpop track for driving alone at dawn, with a low female vocal" into Suno, and out came a song complete with backing track and vocals. I like it and want to release it, but where do I have to mark that it was made with AI?
If I composed a song myself and only added an AI backing track, do I have to mark it the same way? What about a song a human sang, with only pitch correction applied?
Starting October 14, YouTube began attaching a label on YouTube Music to songs where generative AI played a major role in making the music. The label appears on the playback screen, and tapping it shows more information that AI was involved in the production.
YouTube didn't ban AI music; it chose to give information so listeners can know how a song was made. This label isn't a quality score or a warning sticker.
It isn't meant to rank songs made by humans against songs made by AI; its purpose is to tell people the production path.
Why Music Platforms Are Rolling Out Labeling Policies
✦ How Platforms Are Responding
Deezer received about 90,000 fully AI-generated tracks a day on average in June 2026
As the time it takes to make a song gets shorter, AI music uploaded to streaming services is also growing fast.
According to Deezer's explanation as reported by TechCrunch, the service received an enormous amount of AI-generated music in June 2026, about 90,000 fully AI-generated tracks a day on average. Staggering, isn't it?
After that, Deezer announced on October 13 a feature that lets people exclude AI-generated tracks from search results, and said it plans to roll it out worldwide before the end of 2026. Well, in a way it's a perfectly understandable move.
YouTube Music chose to attach a label to songs and tell people about the production process.
After the policy announcement, the YouTube Music discussion on Reddit included reactions welcoming the label, along with worries about how well the detection system could find AI use if creators don't disclose it.
YouTube said it uses information submitted by distribution partners and also its own detection tools. Even songs for which a partner sent no label information can be classified as AI-generated through other signals.
So what creators need to do isn't evade the detection net, but properly convey how their song was made.
First, Sort Out Where You're Uploading
To officially release music on YouTube Music, you usually go through a music distributor. On this path, Fully Gen AI, Partly Gen AI, and No Gen AI aren't buttons a listener picks in the app; they're metadata classifications that music partners send to YouTube.
If the distribution process has an item asking about AI use, you can decide based on the following cases.
✦ Three AI Classifications
Fully / Partly / No Gen AI
Fully Gen AI is when generative AI created the entire song you're releasing. If you entered a prompt into a music generator and released the finished track you downloaded, this applies.
Even if you change the prompt dozens of times until you get a result you like, the classification doesn't change as long as AI generated the final track's composition, backing, and vocals.
Picking a result you like from many is a different thing from composing and playing it yourself.
Partly Gen AI is when human work is added to the parts AI made. For example, if you made a bassline or string part with AI and then played guitar yourself and recorded your own voice singing, it falls in this category.
Cases where you brainstorm lyric themes or polish phrases with AI, generate or modify a melody, and then record it yourself in a studio are also included in YouTube's official examples.
Here's a case that's easy to miss.
Even if the performance and vocals of the song were all recorded by a human, if the video of the music video you distribute alongside it was made with text-to-video AI, then under the official guide it would be classified as Partly Gen AI.
Looking at the audio alone, there's no AI-made sound, but AI was involved in part of the music content being distributed. So if you plan to release the track and the music video together, you need to look at the video production process too.
No Gen AI is when you didn't make the music content with generative AI.
Fixing small pitch errors in a live vocal with ordinary Auto-Tune, or adjusting equalizer, compression, and overall volume balance with an AI mastering tool, are presented as No Gen AI cases in the official guide.
Not every song becomes an AI-generated song just because an automated tool was used. The dividing line is whether you polished an existing recording or generative AI created new musical elements.
When You Upload a Music Video to Your Own Channel Directly
✦ How to Disclose AI Use on Your Own Channel
In YouTube Studio
If, instead of sending your music to a distributor, you upload it directly to your own YouTube channel as a music video, the procedure is different.
When filling in the upload details in YouTube Studio, find the AI use item in the Attributes area, and if it falls under what needs disclosure, choose Yes. YouTube Help lists AI-generated music as a case that needs disclosure.
If the music itself is the center of the video, as with a lyric video or a music video over a still image, you should check this item.
✦ Labels Differ by Upload Path
Official distribution vs uploading to your own channel
Here, choosing the three classifications above is a bit different from choosing Yes/No in YouTube Studio. Fully / Partly / No Gen AI is a metadata value that music partners send, and AI use is the disclosure setting used for regular video uploads.
If you released the track through a distributor and then uploaded the music video separately to your own channel, you choose Fully / Partly / No Gen AI when releasing the track, and Yes/No in the AI use item when uploading to your channel.
Does Labeling AI Block Monetization?
✦ AI Labels and Monetization
Two different standards
Disclosing AI use alone doesn't limit a video's reach or its eligibility for monetization.
However, YouTube's monetization policy also looks at whether a channel's content is original and gives viewers real value, and whether it mass-produces similar videos like a template.
✦ Pre-Release Checklist for AI Music
From how it was made to usage terms
For example, if you make similar songs one after another by changing just a few words of the prompt and attach each to the same still image to upload, the problem arises not from whether you labeled AI but from the content appearing repetitive and mass-produced.
Conversely, if you set a clear concept for each song and added creative contribution through your own arrangement or video direction, using AI as a tool doesn't by itself block monetization.
Of course, you'd still need to separately check whether you've secured commercial-use rights to the song under the music generation service's terms.
This isn't an era where you have to hide that you made AI music to be recognized as a creator. Rather, if you label the production method properly, listeners can know what music they're hearing, and the maker can clearly show what work they did themselves.
The barrier to making songs with AI has dropped a lot now, so let's openly say it's music made with AI and become an AI musician the public recognizes.
That's all for this post. See you next time.
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🌐 Korean version: 유튜브 뮤직의 "AI 음악 표시" 10월14일 시행! 내가 만든 AI 음악은 어떻게 표시해야 할까?
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