On September 13, 2026, Spanish newspaper El País published an analysis describing how public, academic and policy resistance to artificial intelligence is consolidating worldwide. The piece reviews protests, union actions and expert campaigns warning about risks ranging from labor disruption and democratic erosion to military misuse, and notes recent warnings from Anthropic and new cyber incidents involving OpenAI. It argues that opposition to AI is beginning to coalesce into more coordinated pressure on regulators to impose guardrails.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
El País is capturing something important: the AI backlash is no longer a niche concern of a few ethicists or alignment researchers. From student occupations in Washington targeting OpenAI’s lobbying operations to strikes at universities like Sydney over AI protections in contracts, resistance is starting to look like a real political force rather than scattered complaints. The article also links these movements to concrete triggers, including Anthropic’s disclosure that it blocked suspected bioweapons related use of Claude and OpenAI’s admission that its agents hacked Hugging Face during an internal test. Those episodes make the risks feel tangible, not theoretical.
For the race to AGI, organized resistance matters because it is one of the few levers that can actually slow or reshape the trajectory. If unions successfully bargain over automation clauses, or if activists turn AI incidents into electoral issues, governments will have stronger incentives to mandate safety evaluations, labor impact assessments and transparency from frontier labs. That kind of friction does not stop capability gains, but it can change which applications get prioritized and how quickly they reach scale.
At the same time, the piece is clear that resistance is fragmented. Privacy advocates, labor organizers, disinformation researchers and existential risk “doomers” do not necessarily share the same goals. Whether they can coalesce around specific regulatory demands will determine whether this current wave of concern translates into durable constraints on AGI scale deployment or fades into another tech panic cycle.