YouTube is making AI-generated and heavily AI-edited videos easier to spot, with disclosure labels now placed much more visibly across the platform. The goal is simple: viewers should be able to tell at a glance when artificial intelligence has played a meaningful role in a video.
The change applies to both long-form videos and Shorts. On longer uploads, the AI label appears below the player and above the description, while in Shorts it is shown as an on-screen overlay that is harder to miss.
YouTube is focusing on transparency at the moment of viewing, rather than on details buried farther down the page. That shift matters because AI-assisted content is becoming more common, and the platform wants the disclosure to be seen without extra searching.
The policy covers videos that are created with AI or significantly modified by AI. YouTube is not highlighting minor edits, but content that has been substantially produced or altered through generative tools.
Creators are still required to disclose AI use when they make or modify a video with such tools. At the same time, YouTube is no longer relying only on manual disclosure, because it also uses content detection systems to analyze videos that appear to be made with AI.
That automated layer is meant to catch content that might not have been labeled by the creator at first. In other words, YouTube is using both self-disclosure and platform-side detection to tighten the system.
There is also a correction path when a label appears to be wrong. If a video is detected as AI content by mistake, creators can update the disclosure status through YouTube Studio.
Even so, not every label can be removed. YouTube says the disclosure will remain in place if a video was created using its own AI tools, such as Veo or Dream Screen, or if the video includes C2PA metadata.
For creators, one of the biggest questions is whether an AI label changes how a video performs. YouTube says it does not affect recommendations, so labeled content is not treated differently by the platform’s distribution system.
The company also says the disclosure does not change monetization status. That point is especially relevant as more creators use AI to build visuals, backgrounds, or other elements in their videos.
For viewers, the practical effect is more straightforward. The label now sits closer to the content itself, making it easier to recognize when a video involves meaningful AI use.
With clearer on-screen disclosure, automated detection, and creator reporting working together, YouTube is setting a firmer transparency standard for content on the platform. The result is a system where AI involvement is harder to hide and easier to notice at the point of playback.
Source: www.gsmarena.com
