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Technology

AI-Generated Anti-ICE Movies Are Getting the Fanfic Therapy

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Last updated: January 29, 2026 7:54 pm
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AI-Generated Anti-ICE Movies Are Getting the Fanfic Therapy
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At first look, the scuffle in the video appears surprising. A New York Metropolis faculty principal, waving a bat, stops masked ICE brokers from making an attempt to enter the constructing, and as an alternative of violence, the encounter erupts with cheers from onlookers. “Let me present you why they name me bat lady,” she says to them. In different clips prefer it, a server flings a bowl of sizzling noodles at two officers eating at a Chinese language restaurant, and a store proprietor flexes her Fourth Modification rights. Not one of the encounters finish in bloodshed.

The movies, equal components tense and bombastic, are additionally clearly AI-generated. They’re a part of a constellation of anti-ICE AI content material that’s spreading throughout social media because the federal occupation of Minneapolis—a part of the Trump administration’s assault on immigrants—has resulted in brokers killing two US residents in January. Each Renee Nicole Good, a 37-year-old mom of three, and Alex Pretti, a 37-year-old US Division of Veterans Affairs ICU nurse, had been unarmed after they had been fatally shot by authorities officers.

In America, the function of fantasy—the act of imagining a greater world and placing motion behind it to make it true—is paramount throughout occasions of political unrest. The movies, which have thousands and thousands of views on Fb and Instagram, supply a mix of revisionist justice that imagines a digital multiverse the place the ICE brokers are similar to us: not above the rule of legislation.

Within the combination, anti-ICE AI movies are a approach for folks to push in opposition to the distortions painted by the Trump administration and MAGA influencers to justify their actions, says AI creator Nicholas Arter. “During the last decade, social media served that function by giving a voice to individuals who lacked entry to conventional media. It’s not stunning that with AI, one other main technological shift, we’re seeing related patterns repeat, with folks utilizing the instruments accessible to articulate feelings, fears, or resistance.” However whereas they may really feel cathartic, the movies themselves are additionally a kind of distortion. That may have penalties, whether or not bolstering the narrative that individuals of coloration are agitators, or making the general public extra skeptical of precise video proof.

An account going by the identify Mike Wayne, whose proprietor declined a number of requests for remark, seems to be one of many style’s most prolific posters. The account has uploaded greater than 1,000 movies, typically of individuals of coloration combating off ICE brokers, to his Instagram and Fb pages since Good was shot on January 7. Tonally, the clips learn like digital counternarratives: a clip of ICE brokers taking a perp stroll, a Latina girl slapping an officer, or a priest pushing masked officers from the doorways of his church, saying, “I don’t know what god you worship, perhaps an orange one, however my god is love.” (In actuality, federal brokers arrested roughly 100 clergy members final week throughout a protest on the Minneapolis-Saint Paul airport, the place religion leaders mentioned an estimated 2,000 folks had been deported from.)

The movies create an alternate timeline, the place the eagerness and anger of Individuals resisting the federal occupation of their cities doesn’t value lives—and accountability really issues. One in every of Wayne’s most-watched clips is of an ICE agent combating white tailgaters at a sporting occasion, a imaginative and prescient seemingly so surreal it has been seen 11 million occasions in lower than 72 hours. “Down with fascism,” one individual says within the background. Humor additionally performs an vital function in these fan-fiction-style movies. In a clip posted by the meme account RealStrangeAI, 4 drag queens in neon wigs chase ICE officers by way of a Saint Paul neighborhood.



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