The attacks came three days apart. On April 10, a 20-year-old man allegedly hurled a Molotov cocktail at the San Francisco home of OpenAI CEO Sam Altman at four in the morning, igniting a fire on the exterior gate. Federal investigators found a document on the suspect, Daniel Moreno-Gama, detailing his intention to kill Altman and warning of humanity's "impending extinction" from artificial intelligence. On April 12, gunfire struck the same residence. No one was injured in either incident, but the message was unmistakable: the simmering resentment toward AI and the people building it has begun to boil over.
Now Axios is sounding the alarm. In a sweeping "Behind the Curtain" analysis published April 29, the outlet delivered a stark assessment: "We've been warned — by the data, by the technology, and by the people most responsible for building it — that we've unleashed something powerful, something growing exponentially, and something understood by very few, especially those in power."
The piece arrives at a moment when multiple data points are converging to paint a picture of a society struggling to absorb the velocity of AI development. Gallup's latest survey, conducted in late February and early March with 1,572 respondents aged 14 to 29, found that excitement about AI among Gen Z has cratered from 36 percent to 22 percent in a single year, a 14-point collapse. Anger, meanwhile, has surged nine points to 31 percent. The paradox is striking: 51 percent of Gen Zers still report using generative AI at least weekly, even as their emotional relationship with the technology grows increasingly hostile.
The backlash is not confined to polling data. Opponents delayed or blocked 48 data center projects in 2025, affecting an estimated $156 billion in potential investment. In Maine, legislators approved what could become the first statewide ban on data center construction. In Indiana, city councilmember Ron Gibson had 13 bullets fired through his front door after expressing support for a local data center project. Across the Atlantic, hundreds marched past the London headquarters of OpenAI, Google DeepMind, and Meta in February in one of the largest anti-AI protests to date.
The Speed Problem
What makes this moment particularly dangerous, the Axios analysis argues, is the disconnect between how fast AI is advancing and how slowly society is processing the implications. OpenAI's chief scientist has set 2028 as the target for building a fully autonomous AI researcher. Anthropic co-founder Dario Amodei has said that the decision to allow AI to recursively self-improve could come between 2027 and 2030, calling that step "the ultimate risk."
These timelines are measured in months and quarters. The political and regulatory response, by contrast, is measured in years and election cycles. The federal government currently requires zero mandatory transparency disclosures from AI developers. Stanford's 2026 AI Index Report found that the Foundation Model Transparency Index dropped from 58 to 40 out of 100 in the past year, with every major frontier lab scoring worse than the year before.
Meanwhile, the economic promise that was supposed to ease public anxiety is failing to materialize for most organizations. A February 2026 paper from the National Bureau of Economic Research found that 80 percent of companies actively using AI have reported no measurable impact on productivity. The gap between the enormous capital being poured into AI infrastructure and the tangible benefits reaching ordinary workers and consumers is fueling a narrative that the technology serves elites at the expense of everyone else.
A Coalition of the Frustrated
MIT Technology Review designated "Resistance" as one of the ten things that matter most in AI right now, documenting how a diverse and unlikely coalition has formed against the industry. MAGA Republicans, democratic socialists, labor activists, and church leaders signed a Pro-Human AI Declaration in March, articulating the principle that AI should serve humanity, not replace it. The breadth of the coalition suggests that AI backlash is not a left-right issue but a populist one, cutting across traditional political boundaries.
Axios's own reporting has tracked this shift from multiple angles in recent weeks. A separate April 23 analysis noted that AI labs "don't seem to care that consumers hate them," pointing to a persistent communications failure within the industry. Another piece documented how the AI boom is "outrunning oversight" as workplace deployments accelerate without adequate regulatory guardrails.
The attacks on Altman's home represent the extreme end of a spectrum, but experts see them as symptomatic of a broader failure. A Washington Post opinion piece published April 22 argued that the violence was "a response to political failure" — the inevitable consequence of a democratic system that has not given citizens meaningful channels to shape how AI transforms their lives.
What to Watch
Three dynamics will determine whether the current tensions escalate or find productive outlets. First, whether congressional action on AI transparency and workforce protections gains traction before the 2026 midterm elections, which are increasingly being shaped by data center politics in key swing states like Pennsylvania. Second, whether the AI industry's own leaders take the public's anger seriously enough to change course on transparency and deployment speed, rather than treating backlash as a communications problem to be managed. And third, whether the violence directed at AI figures remains isolated or becomes a pattern that further polarizes the debate.
The data, the protests, the polling, and now the Molotov cocktails are all telling the same story. Society has been warned. The question is whether anyone in a position to act is listening.
"We have been warned by the data, by the technology, and by the people most responsible for building it."— Axios, Behind the Curtain analysis