In the age of social media, the spread of AI-generated content is staggering. Recently, Instagram and Facebook have seen a surge of AI-created videos featuring people of color as protagonists, putting U.S. Immigration and Customs Enforcement (ICE) agents in awkward positions or even “teaching them a lesson.” In these videos, the main characters loudly berate ICE agents in fluent English or Spanish, backed by激昂 background music and special effects, resembling Hollywood action films. These clips have gone viral, not only garnering millions of likes but also inspiring fans to create “fanfic”-style sequels and adaptations.
Birth and Spread of Viral Videos
Most of these videos are produced by emerging AI video generation tools such as OpenAI’s Sora, Runway ML, or Pika Labs. Users simply enter prompts like “Latina woman uses martial arts to fend off ICE agents” or “Asian youth outsmarts immigration enforcers,” and the AI outputs high-definition dynamic videos within minutes. In a January 30, 2026 report, WIRED journalist Jason Parham noted that this “anti-ICE narrative” resonates particularly well within immigrant communities, especially against the backdrop of lingering immigration policy controversies from the Trump era.
Across Instagram and Facebook, AI-generated videos show people of color putting ICE agents in their place. Are they cathartic or just adding to a stew of misinformation?
The spread path of these videos is clear: starting as short clips on TikTok, they quickly moved to Meta platforms. Data shows that a popular video can rack up over 5 million views within 24 hours, with comment sections full of cathartic cheers like “Finally seeing ICE take a hit!” Fans are not just watching; they are uploading AI-generated sequels such as “ICE Agent’s Revenge” or “Community Unites Against Enforcement,” forming a fan-creation ecosystem.
Technical Background: The Revolution from Text to Video
The explosion of AI video generation is driven by technological leaps between 2024 and 2025. Early tools like Stable Diffusion for image generation have evolved into text-to-video models like Sora, capable of handling complex actions and multi-character interactions. Meanwhile, tools like Luma AI and Kling AI have lowered barriers, allowing ordinary users to “direct” professional-grade content. Industry data shows that by 2025, AI-generated videos accounted for over 30% of social media content, ushering in a new era of “generative media.”
However, this technology also amplifies the sensitivity of immigration issues. ICE, an agency under the U.S. Department of Homeland Security responsible for border enforcement and deportation of illegal immigrants, is often criticized by progressives as a “family separation machine.” These AI videos turn real-world frustrations into fictional fantasies, meeting the emotional needs of certain groups while blurring the line between fact and fiction.
Fan Fanfic Creation: Catharsis or Misinformation?
The “fanfic therapy” of these videos is evident in the secondary creations within fan communities. On Reddit’s r/AIVideo and Discord servers, users share prompt templates and brainstorm collectively: some add superpowers, others incorporate historical events like “recreating the 1960s civil rights movement.” This interaction mirrors the fan fiction culture on platforms like AO3, but with a visual format that packs a stronger punch.
Supporters argue that this is “digital catharsis.” Psychologists point out that in a high-pressure immigration environment, these videos provide a safe emotional outlet, helping communities of color rebuild confidence. On the flip side, critics—such as fact-checking organization NewsGuard—warn that they contribute to a “stew of misinformation.” Many videos masquerade as real events without watermarks, leading viewers to falsely believe that “ICE is actually being mobbed by civilians.” Although Meta has introduced AI content labels, enforcement is weak, with misinformation incidents increasing by 40% year-over-year in 2025.
Editor’s Note: The Urgency of AI Content Governance
As an AI tech news editor, we believe this phenomenon highlights the double-edged sword of generative AI. On one hand, it democratizes creation, amplifying marginalized voices; on the other, unregulated dissemination fuels polarization. Drawing on the EU’s AI Act and proposed U.S. “deepfake bans,” platforms need to strengthen watermarking and algorithmic interventions. At the same time, creators should label content as “fictional” to avoid misleading audiences. In the future, as models like Grok-3 and Gemini 2.0 iterate, such incidents will become more frequent, making global standards urgent.
Immigration issues are already complex; AI should not become an emotional amplifier but should serve the truth. When viewers enjoy these videos, they might ask: Is this art, or propaganda?
Industry Impact and Outlook
The trend has already affected brand marketing: Nike and Adidas tested AI videos promoting multiculturalism but faced backlash. On the regulatory front, the Biden administration stepped up scrutiny of Meta in 2026, fining it hundreds of millions of dollars. Looking ahead, blockchain watermarking technology may offer a solution, ensuring content traceability.
In summary, AI anti-ICE videos are not just an entertainment phenomenon; they are a convergence of technology, society, and politics. They remind us: in an algorithm-driven world, distinguishing truth from falsehood is every user’s responsibility.
(Approximately 1,050 words in Chinese original)
This article is compiled from WIRED, author: Jason Parham, date: 2026-01-30.
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