Things might be going kinetic in the backlash against data centers and AI.
On Friday, a 20-year-old suspect set on burning down OpenAI headquarters was charged and arrested following a predawn Molotov cocktail attack on OpenAI CEO Sam Altman’s house in the Russian Hill neighborhood of San Francisco.
Daniel Alejandro Moreno-Gama, 20, from Texas, was arrested and booked into County Jail hours after the incident. He faces multiple felony charges including attempted murder, arson, making criminal threats, and two counts each of possession or manufacture of an incendiary device and possession of a destructive device. He is being held without bail.
“Thankfully it bounced off the house and no one got hurt,” Altman wrote in a blog post.
According to police and OpenAI, the attack unfolded around 3:40–3:45 a.m. on April 10 when Moreno-Gama allegedly hurled a flaming bottle at the metal gate of Altman’s home at 855 Chestnut Street in the Russian Hill neighborhood. The device ignited a small fire that was quickly extinguished by on-site security, causing only minor damage and no injuries; it reportedly bounced off the house. The suspect then fled to OpenAI’s Mission Bay headquarters, where he allegedly threatened to burn down the building. Officers recognized him from surveillance footage of the residence attack and took him into custody without further incident.
OpenAI issued a brief statement confirming the events and thanking SFPD for the rapid response, noting that security had been stepped up at company offices.
Hours later, Altman published a strikingly personal blog post that has generated almost as much discussion as the attack itself. Read Altman’s full post here. In it, he shared a rare family photo with his husband Oliver Mulherin and their child, writing: “Here is a photo of my family. I love them more than anything. Images have power, I hope… Normally we try to be pretty private, but in this case I am sharing a photo in the hopes that it might dissuade the next person from throwing a Molotov cocktail at our house.”
Altman described himself as “awake in the middle of the night and pissed,” admitted he had underestimated “the power of words and narratives,” and linked the moment to broader anxiety about AI, including a recent critical profile. The post mixes personal apologies and reflections on past conflicts (including the Elon Musk trial and OpenAI board drama), a dramatic Lord of the Rings “ring of power” metaphor for the AGI race, and a call to “de-escalate the rhetoric and tactics and try to have fewer explosions in fewer homes, figuratively and literally.”
The timing and tone of Altman’s response appear to underscore a deeper reality now playing out across the country: financially strained American households are increasingly pushing back against the infrastructure demands of the AI industry. New data this week shows residential electricity prices surging in key regions, driven in large part by the explosive growth of data centers needed to train and run large language models. Communities from Virginia to Georgia to the Midwest have mounted growing resistance – through zoning fights, moratoriums, and public hearings – over electricity costs, water consumption, land use, and limited local economic benefits, marking what one analysis described as a sharp escalation in Americans starting to revolt against data centers.
In response to the pressure, Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI this week signed a Trump-administration-brokered “Ratepayer Protection Pledge” committing the companies to fully fund their own new power generation, transmission upgrades, and grid improvements so that ordinary ratepayers are not left footing the bill. The move follows an emergency intervention directing the nation’s largest grid operator to hold a special auction shifting billions in costs away from households.
This backlash is fueled not only by soaring electricity costs but also by deep-seated fears that AI and large language models will trigger widespread job displacement. Many Americans, particularly recent graduates and white-collar workers, worry that rapid automation of cognitive and knowledge-based work will leave large segments of the labor force behind. Are we on the cusp of a new luddite revolution?
Close enough https://t.co/reP3n5kJpR pic.twitter.com/PrH03ydD8A
— zerohedge (@zerohedge) April 10, 2026
Wanna read something scary? Stanford software engineering grads aren’t finding work…
“Stanford computer science graduates are struggling to find entry-level jobs” with the most prominent tech brands, according to the university’s Jan Liphardt, an associate professor in bioengineering.
While the rapidly advancing coding capabilities of generative AI have made experienced engineers more productive, they have also hobbled the job prospects of early-career software engineers.
Stanford students describe a suddenly skewed job market, where just a small slice of graduates — those considered “cracked engineers” who already have thick resumes building products and doing research — are getting the few good jobs, leaving everyone else to fight for scraps.
“There’s definitely a very dreary mood on campus,” said a recent computer science graduate who asked not to be named so they could speak freely. “People [who are] job hunting are very stressed out, and it’s very hard for them to actually secure jobs.”
The shake-up is being felt across California colleges, including UC Berkeley, USC and others. The job search has been even tougher for those with less prestigious degrees. –LA Times
While the vast majority of this pushback remains peaceful and policy-focused, the Molotov incident may be the first kinetic action in the luddite revolution. Altman himself seemed to nod to that anxiety in his post, acknowledging that “the fear and anxiety about AI is justified” and calling for societal resilience, economic transition support, and democratization so that “power cannot be too concentrated.”
