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A Kapwing report found that 165 of the first 500 Shorts shown to one newly created YouTube account were classified as “brainrot,” while 104 were classified as AI-generated. The report also estimated millions of dollars in annual earnings for some high-view channels—but those figures are modeled estimates, not verified payouts. Neither finding establishes how much AI slop is in YouTube overall or what any named channel actually earned.
What Kapwing’s YouTube study found
Kapwing’s Liam Curtis published AI Slop Report: The Global Rise of Low-Quality AI Videos on November 28, 2025. The report says its data was current as of October 2025. Kapwing identified the top 100 trending YouTube channels in each country, flagged channels it considered to be AI slop channels, collected views and subscriber counts, and used Social Blade estimates to model annual revenue. Separately, it created a new YouTube account and recorded the first 500 Shorts it encountered.
| Measure | Kapwing’s finding | What it describes |
|---|---|---|
| Brainrot Shorts | 165 of 500, or 33% | One new account’s first 500 Shorts, classified by Kapwing |
| AI-generated Shorts | 104 of 500, or about 21% | The same account’s feed, classified separately by Kapwing |
These are two different labels, not interchangeable descriptions. The report does not establish that every brainrot video was AI-generated or that every AI-generated video was brainrot.
Does one-third of YouTube Shorts contain AI slop?
No. The 33% figure is a count in one newly created account’s feed, not a random sample of YouTube videos, users, or viewing sessions. Recommendations can differ by account and over time. Kapwing also says it cannot determine whether the concentration it observed reflects how recommendations work or the volume of uploads.
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“AI slop” is not a precise platform-wide measurement category in the report. The reported share should therefore be read as Kapwing’s classification of a small, specific feed sample—not as an estimate of the proportion of all YouTube content that is low quality or AI-made.
How much money are AI slop channels making on YouTube?
Kapwing highlighted India-based channel Bandar Apna Dost, reporting 2.07 billion views and estimating annual earnings of $4,251,500. That dollar amount is modeled earning potential, not confirmed income. Kapwing says it used Social Blade estimates based on annual views and midpoint values, alongside an average revenue-per-thousand-views method.
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The estimate does not prove the channel received that amount, was monetized throughout the period, or made that sum as net profit. YouTube’s actual payments can’t be inferred from views alone, and the report did not independently audit channel payouts. Its underlying data was current as of October 2025; views, channel status, and estimates may have changed since then.
A 2026 preprint by Shuo Niu, Yao Lyu, He Zhang, Na Li, Bumjin Kim, and Jie Cai analyzed 377 public YouTube videos in which creators discuss generative-AI workflows, income claims, and monetization strategies. It describes approaches including advertising, direct sales, affiliate marketing, and revenue-sharing, alongside concerns such as unverifiable income claims and content misappropriation. That study examines what creators say publicly; it does not verify Kapwing’s named channels or their earnings. Read the study.
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Are AI-generated YouTube videos monetized?
They can be. YouTube’s policy does not disqualify a video from monetization simply because AI was used. Instead, its channel monetization rules require content to be original and “authentic,” and target work that is mass-produced, generic, repetitive, or made without meaningful viewer value. On July 15, 2025, YouTube renamed its “repetitious content” policy “inauthentic content,” clarifying that repetitive or mass-produced material was already ineligible under the existing rules. YouTube’s channel monetization policies.
What may put a channel at risk
- Videos generated from interchangeable templates with little substantive variation.
- Repetitive storylines that change very little from one upload to the next.
- Slideshows or scrolling text with little narrative, commentary, or educational value.
- Generic AI-generated output that adds no original insight or other meaningful value for viewers.
What the policy leaves room for
A channel can use a consistent format and still be eligible when individual videos contain materially different substance and offer creative, educational, or other viewer value. The policy distinction is between the use of AI and the originality and value of the finished content.
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Do AI disclosure labels affect recommendations or monetization?
YouTube’s May 27, 2026 update says it is moving labels for photorealistic or meaningfully AI-altered content to a more prominent position and rolling out internal signals to detect some unlabeled AI-generated material. YouTube says a disclosure label alone does not change how a video is recommended or whether it is eligible to earn money. Disclosure and monetization eligibility are separate questions. YouTube’s AI-label update.
What YouTube says about AI content on the platform
YouTube CEO Neal Mohan said in a 2026 letter that the company is building on its anti-spam and anti-clickbait systems to reduce low-quality, repetitive AI content. In the same letter, YouTube reported that more than one million channels on average used its AI creation tools daily in December. That is a platform-reported measure of tool use, not a count of slop channels or proof that those channels were monetized. Mohan’s 2026 letter.
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