AI Resist List Maps Global Pushback Against the AI Industry

For the last three years the dominant industry line has been that AI progress is inevitable, with Marc Andreessen going as far as writing in his Techno-Optimist Manifesto that "any deceleration of AI will cost lives." A new project wants to argue, with receipts, that plenty of people around the world have already declined to accept that framing.

Tech Policy Press reports that the AI Resist List, at airesistlist.org, has launched as a collaboratively built, publicly accessible database documenting acts of resistance to the AI industry from across the world. It is supported by the Distributed AI Research Institute (DAIR), We and AI, and York University's Refugee Law Lab, with initial scoping led by two Migration and Technology Monitor fellows, Syrian journalist Wael Qarssifi and Ciudad Juárez and El Paso based reporter Verónica Martínez. The article itself is written by Petra Molnar, a fellow at Tech Policy Press.

The list is organized around what its authors call the Countering AI Inevitability Framework, sorting entries into four overlapping modes: Resisting, Refusing, Reclaiming, and Reimagining. Of the entries tied to a specific region, nearly six in ten are from the Global Majority, with cases in Germany, Japan, Kenya, Chile, the Philippines, the United Kingdom, Uruguay, the Democratic Republic of Congo, and the United States. Examples surfaced in the piece include the New Mexico Environmental Law Center's lawsuit against Doña Ana County over OpenAI's Stargate Initiative data center, Movimiento por un Uruguay Sustentable's campaign against a Google data center, a JMITU petition that forced IBM to disclose AI wage-setting algorithms, the Chilean "human chatbot" project Quili.ai, Kaiser Permanente mental health workers protesting AI in healthcare, the CODE AI coalition in the Philippines, and a Data Labelers Association in Nairobi.

Why this matters if you build, buy, or regulate AI: for the first time there is a single searchable inventory of where deployment is actually meeting organized friction, and it is heavily weighted toward the places industry press covers least. Site selection for compute, labor practices for annotation, and algorithmic wage-setting all show up as live pressure points, not hypotheticals.

The honest caveat is that the reporting does not describe how entries are vetted, kept current, or removed, and "resistance" bundles active lawsuits with completed campaigns, so treat the taxonomy as a starting inventory rather than a scoreboard. What the piece does not give you is any response from the companies named. Still, as a low-cost horizon scan for where the next round of AI backlash is concentrating, this is more useful than another op-ed insisting the future is already decided.