YouTube has spent years encouraging creators to experiment with AI while trying to contain the kind of content those tools produce. Now it’s getting more specific about what crosses the line.
In a July 16 episode of the company’s Inside YouTube podcast, Vice President of Trust and Safety Matt Halprin sits down with creator insider Rene Ritchie how YouTube distinguishes between creators using AI as a production tool and channels that use it to manufacture videos at scale.
The conversation wasn't an announcement that YouTube is banning AI-generated content; instead, it offered a closer look at 3 types of videos that can make a channel ineligible to earn money.
Which AI videos can lose monetization?
The first category: generic or repetitive videos that barely differ from one upload to the next. This includes channels pumping out AI-generated stories where only the character names, settings, or accompanying images change. It also covers slideshows, scrolling text, animations, or tutorials that rehash the same basic information without offering anything new.
This doesn't mean creators need to completely reinvent their channels with every upload. What matters is the substance: each video should deliver a new story, lesson, argument, or explanation. It shouldn't serve up a lightly edited version of something already published.
The market for producing videos without an on-camera creator is substantial. Alex Mashrabov, a former head of generative AI at Snap, claimed AI-generated faceless videos were "a new, emerging category where solopreneurs and storytellers can thrive" in a June interview with The Hollywood Reporter. Now they'll have to thrive without repetition.
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The second category: what YouTube calls “unsatisfying or off-putting” content. These videos lean heavily on disturbing imagery or emotional manipulation to grab attention, but don’t build much of a story around it.
One example YouTube's Halprin discussed: videos that show animals in apparent danger before someone swoops in to rescue them. A channel built around this concept could lose monetization regardless of whether the footage was AI-generated.
The same principle may apply to compilations of disturbing clips, repetitive videos focused on violence, or AI footage that falsely shows a celebrity dying or a natural disaster unfolding.
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Again, YouTube isn't saying that every video involving tragedy, violence, or distress can't earn money. News reports, documentaries, fictional series, and other substantive work can still cover these subjects. The question is whether the disturbing material serves a larger story, or is just being used as clickbait.
The third category ties directly to generative AI. YouTube says channels can't monetize videos where synthetic personas present themselves as human authorities on sensitive topics such as healthcare, finance, law, and politics.
This could include an AI-generated "doctor" diagnosing symptoms, an AI-generated podcast host recommending investments, or an AI-generated "lawyer" advising viewers on court cases. The concern isn't that the characters in question are fictional — it's that viewers might mistake them for credible human experts.
The clarification follows a complicated crackdown
YouTube has been trying to limit repetitive content for years. In 2025, the company rebranded such content as "inauthentic," noting that repetitive and mass-produced videos were previously ineligible for monetization.
Generative AI has made producing that material considerably easier. “AI can actually allow people to make a lot of videos,” Halprin noted, while conceding that the increased output can include genuinely good work.
"But that exact same new tool can allow you to make lots of videos really quickly that are very similar," he added. “They’re very generic and don’t really have a narrative arc and don’t really show your creativity.”
The scale of that output is becoming difficult to ignore.
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In a 2025 study, video-editing company Kapwing created a brand new YouTube account and analyzed the first 500 videos the platform recommended. Researchers classified 104 of them—about 21 percent—as “AI slop.” A third fell into a broader category, “brainrot,” which includes other forms of low-quality content designed to capture viewers’ attention.
Kapwing examined 15,000 popular channels and identified 278 that contained only AI-generated content. Together, these channels racked up over 63 billion views and 221 million subscribers. The company estimated they generate around $117 million in annual revenue.
YouTube said the findings didn't necessarily reflect the platform as a whole; however, the company terminated one channel identified in the study and removed several others from its monetization programs.
CEO Neal Mohan described managing AI slop as one of YouTube’s top priorities for 2026, even as the company rolls out its own AI tools.
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YouTube is embedding Google DeepMind’s Veo video generator directly into Shorts and offering tools that animate photos, assemble raw footage, suggest ideas, and automatically dub videos into 27 languages. More than 1 million channels used these AI creation tools each day in December.
Mohan's platform is in a tricky position, then. It wants this technology to expand what creators can make—without letting its revenue-sharing program become a payday for automated content farms.
Why 'faceless' creators are worried
The crackdown has worried some creators who make original videos without appearing on camera.
These channels are often described as “faceless,” a category that includes narrated documentaries, history videos, animation, explainers, true crime, ambient sound, and other educational work.
Many existed long before generative AI and rely on human writers, researchers, editors, illustrators, animators, and voice actors behind the scenes.
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Trouble is, AI content farms often look similar on the surface. And some creators say that resemblance is already creating problems.
Doctor NOS, an educational YouTuber with 1.8 million subscribers, told THR creators making similar content without appearing on camera were being demonetized. Other faceless-channel operators have reportedly begun hiring on-camera hosts, via gig platforms like Fiverr and Upwork, in the hopes that a person on screen will make their videos more obviously human-made.
Those stories remain anecdotal, and such moves are technically unnecessary. YouTube has not said that appearing on camera improves a channel’s chances of earning money, and its written policy does not require creators to show their faces. Still, faceless creators are left without an easy way to demonstrate human work behind the screen.
YouTube is not banning AI videos as a whole
AI itself is not disqualifying. It can already perform many of the individual tasks involved in making a YouTube video, including drafting scripts, generating images and voices, creating animation, translating speech, and building visual effects. YouTube even offers creators its own AI-powered production and dubbing tools.
YouTube's Halprin said the company is not judging a video solely by whether generative AI was involved. A creator can use AI throughout the production process and remain eligible for monetization if the finished work contains an original story, useful information, entertainment, or another clear creative contribution.
The problem is that those same tools make it much easier to produce large numbers of videos that look, sound, and feel almost identical.
“AI can actually allow people to make a lot of videos,” Halprin said, noting that the technology can increase the amount of genuinely good work a creator produces.
“But that exact same new tool can allow you to make lots of videos really quickly that are very similar,” he added. “They’re very generic and don’t really have a narrative arc and don’t really show your creativity.”
YouTube’s updated guidance is intended to show creators where that fuzzy line begins.
What happens when YouTube demonetizes a channel?
When deciding whether a channel qualifies for YPP, YouTube may review more than one individual video.
Reviewers can consider the channel’s primary subject, newest uploads, most-viewed videos, largest sources of watch time, titles, thumbnails, descriptions, and About page. If a significant portion of the channel falls into one of the three inauthentic-content categories, YouTube can remove monetization from the entire channel.
Halprin also addressed fears that angry viewers could get a creator removed from YPP simply by reporting the channel repeatedly. Reports can prompt YouTube to examine a channel more closely, the executive said, but the number of reports alone does not determine whether it loses monetization.
Creators removed from the program generally have 21 days to appeal. If that appeal fails, they can revise the channel, publish new material, and reapply after 90 days. For viewers, the clarification does not mean AI slop will suddenly disappear from YouTube.
Videos that violate monetization standards may remain available, and the scale of the platform makes automated content difficult to eliminate entirely. What YouTube can do is make that material less lucrative.
