YouTube AI Content Disclosure Rules: What Creators Must Label in 2026
Last verified: August 30, 2026
When disclosure is required
The test has two parts: the media is meaningfully generated or altered, and a reasonable viewer could believe the realistic person, event, place, voice, or action is authentic. YouTube examples include realistic AI-generated music, fabricated footage of a real location or event, and making a real person appear to say something they did not say.
| Example | Disclose? | Reason |
|---|---|---|
| Realistic cloned voice of a public figure | Yes | Could mislead viewers about a real person |
| AI footage of a disaster near a real city | Yes | Plausible event that did not happen |
| AI-generated music in a video | Yes | YouTube lists AI music as an example |
| Minor color correction | Usually no | Not a meaningful synthetic change |
| Clearly fantastical animation | Usually no | Unlikely to be mistaken for reality |
| AI used only for title ideas | Usually no | Published media is not realistically altered |
How to disclose AI use
- Open YouTube Studio and upload the video.
- Complete the title, description, audience, and other details.
- Find AI use in the Attributes section.
- Select Yes when the content meets the rule.
- Finish the upload and review the public video page.
YouTube may show the disclosure in the expanded description or on the video player for photorealistic content.
Automatic labels and C2PA
YouTube may automatically label content made with its own generative tools, content with valid Content Credentials metadata, or media detected as altered or synthetic. It can carry forward disclosures from qualifying C2PA 2.1 or higher metadata when the entire video is identified as AI-made.
Does the label affect monetization?
YouTube states that disclosure does not by itself limit the audience or affect eligibility to earn money. Monetization still depends on YouTube Partner Program rules, originality, reused content, advertiser-friendly content, copyright, and community guidelines. A labeled mass-produced low-value video can fail review; a labeled original production can qualify.
Creator checklist
- Identify AI-generated or meaningfully altered audio and visuals.
- Ask whether they depict a real person, place, event, or plausible scene.
- Keep records of tools, licenses, prompts, and source assets.
- Use the Studio setting when viewers could mistake the media for reality.
- Add context in the description when useful.
- Check impersonation, privacy, copyright, and election policies separately.
Common mistakes
Assuming every AI-assisted edit needs a label
Brainstorming, captions, noise reduction, and script cleanup are not automatically realistic synthetic media. Apply the meaningful-alteration test.
Assuming disclosure grants permission
A label does not override copyright, privacy, impersonation, harassment, or misinformation policies.
Writing only a note in the description
When the policy applies, use the dedicated Studio setting. A description note is useful context but not a replacement.
FAQ
Do AI voiceovers need disclosure?
If a voice realistically imitates a real person or could mislead viewers, disclose it. For generic synthetic narration, check the current Studio guidance and disclose when uncertain.
Do AI thumbnails need disclosure?
The upload disclosure focuses on video content, but thumbnails remain subject to misleading metadata and community guidelines.
Will YouTube label content automatically?
It may, especially for YouTube-generated media, qualifying C2PA metadata, or detected synthetic content.
Official sources
- YouTube: Disclosing generative AI content
- YouTube: How this content was made
- YouTube impersonation policy
Bottom line: If AI makes a realistic person, event, place, voice, or action appear authentic when it is not, use YouTube’s AI disclosure setting.
