YouTube is making it much easier for viewers to identify AI-generated videos on the platform. The company has announced that it will now automatically apply labels to videos when its systems detect significant use of realistic AI-generated content.

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Until now, YouTube mainly relied on creators to disclose whether AI tools were used in their videos. But as AI video generators become more advanced and capable of producing highly realistic footage, YouTube says it is stepping in with its own detection systems to improve transparency.

The update is part of YouTube’s broader effort to help users better understand what content is real and what has been created or heavily altered using AI tools.

YouTube Is Expanding Its AI Labeling System

YouTube first introduced AI disclosure rules in 2024. Creators were required to label videos that used realistic AI-generated people, voices, places, or events that could potentially mislead viewers.

At the time, these labels mostly depended on creators honestly disclosing their use of AI tools through YouTube Studio.

Now the company says it will begin using internal signals to identify AI-generated content on its own. Starting in May 2026, if YouTube detects significant photorealistic AI in a video and the creator did not label it, the platform will automatically add the disclosure label itself.

YouTube says creators are still expected to manually disclose AI-generated content, but the automatic system is designed to make the process more reliable.

AI Labels Will Be Easier to Spot

The company is also changing where these labels appear so viewers can notice them more easily.

Previously, many AI labels only appeared inside the expanded description section unless the content involved sensitive topics like politics, health, or news.

That is now changing.

For regular long-form videos, AI disclosure labels will appear directly below the video player and above the description. On YouTube Shorts, the label will show up directly on the video as an overlay.

YouTube says the new placement gives viewers instant context when watching realistic AI-generated or AI-altered content.

However, videos that contain unrealistic or clearly fictional AI content, such as animated fantasy scenes or heavily stylized edits, may still only show labels inside the expanded description.

Some Labels Will Stay Permanently

Creators will still be able to edit disclosure settings if they believe YouTube incorrectly labeled their content.

But in some cases, the labels cannot be removed.

According to YouTube, videos created using its own AI tools like Veo or Dream Screen will always carry AI disclosure labels. The same applies to videos containing C2PA metadata, which is used to identify fully AI-generated media.

The C2PA standard is becoming increasingly important across the tech industry, with companies like OpenAI, Nvidia, Kakao, and ElevenLabs supporting it.

AI Labels Will Not Affect Monetization

YouTube says these labels are only meant to improve transparency and will not affect recommendations or monetization.

Creators can still earn money from AI-assisted videos as long as the content follows YouTube’s existing policies.

The company says the goal is to provide viewers with clearer information while still allowing creators to experiment with new AI tools.

YouTube Is Investing Heavily in AI

The automatic labeling system arrives as Google continues expanding its AI efforts across YouTube and other products.

Recently, YouTube expanded its deepfake detection tools, allowing users to scan the platform for AI-generated face matches. Earlier versions of the feature focused mainly on celebrities, politicians, and public figures.

Google also recently introduced Gemini Omni at its Google I/O developer event. The new multimodal AI models can generate highly realistic videos with an understanding of physics, culture, history, and science.

At the same time, YouTube has been integrating AI into more features across the platform, including:

  • Ask YouTube interactive search
  • AI playlist generation in YouTube Music
  • AI-generated video summaries
  • Generative AI tools for creators

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