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On October 5, 2025, Jimmy Donaldson, known as MrBeast, raised a conditional concern: if AI videos become as good as ordinary videos, what could that mean for YouTube and people who earn a living by making content? He ended his post with “Scary times.” It was a warning about a possible future, not a report that AI had already displaced creators or cut their income.
What did MrBeast say about AI videos?
In a post dated October 5, Donaldson wrote: “When AI videos are just as good as normal videos, I wonder what that will do to YouTube and how it will impact the millions of creators currently making content for a living,” according to Entrepreneur’s October 6, 2025 report. He concluded: “Scary times.”
The key phrase is “when AI videos are just as good.” Donaldson described a scenario in which generated video reaches the quality viewers expect from conventional videos, and asked what that might do to the platform and its creators. His reference to “millions of creators” describes the people he was concerned about; it is not a count of creators already harmed by AI.
Why was AI video in the conversation?
Entrepreneur’s report placed the post against the recent release of OpenAI’s Sora 2 app. At the time, the publication described it as an AI-video-focused app through which people could make short clips from text prompts. That is contemporaneous context from October 2025, not an update on the product’s present availability or capabilities.
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Donaldson’s post did not say that AI videos had already become indistinguishable from ordinary videos. Nor did it describe a documented loss of creator jobs, views, or income. The concern was about what might happen if the quality gap closed.
How did Instagram head Adam Mosseri respond?
Four days later, Instagram head Adam Mosseri offered a counterpoint at Bloomberg Screentime, as reported by TechCrunch on October 10, 2025. He argued that most creators were unlikely to use AI to reproduce MrBeast’s elaborate sets and large-scale productions. Instead, he suggested that AI tools could help creators make more or better content by lowering the cost of production.
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That possibility cuts both ways. Lower barriers could give more people ways to produce videos, while also increasing competition for viewers. Mosseri’s comments are a counterargument about potential uses, not proof that AI will benefit every creator or that the risks Donaldson raised will not materialize.
Why does authenticity matter alongside production cost?
Mosseri also pointed to a growing challenge for audiences: distinguishing what is real, synthetic, or a combination of the two. Hybrid content was already common, he said, and he expected the boundary between real and synthetic video to become less clear. He cautioned that “just because they’re seeing a video of something doesn’t mean it actually happened.”
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That concern is separate from whether AI can make a video cheaply or convincingly. As synthetic and hybrid videos become harder to identify, viewers may need to ask who made and shared a clip, and why. Mosseri’s remarks describe an authenticity challenge; they are not a settled consensus about how audiences or platforms will respond.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What is known about AI’s effect on creator livelihoods?
The two contemporaneous reports establish what Donaldson and Mosseri said, but they do not quantify creator job or income losses caused by AI video. They provide no measured displacement figure and no evidence that AI video had already reduced earnings across YouTube. The actual employment and income effects therefore remain unresolved in this coverage.
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The positions are best understood as different emphases: Donaldson asked what could happen if AI video reaches comparable quality, while Mosseri highlighted the opportunity to reduce production costs and the accompanying difficulty of judging authenticity. Neither statement, by itself, establishes the eventual outcome for creators.
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