Attacks on Sam Altman: how violence became a weapon against the AI industry

A wave of violence directed against AI industry representatives no longer looks like random excesses — it is acquiring the characteristics of organized resistance. In April 2026, a 20-year-old California resident was arrested on suspicion of arson at the home of Sam Altman, CEO of OpenAI. According to the San Francisco Chronicle, before the attack, the young man left notes expressing fear that the artificial intelligence race would lead to human extinction.

Two days after the first incident, Altman's home was threatened again — this time, according to the San Francisco Standard, it was a repeated attack. In parallel, in Indianapolis, unknown assailants opened fire on the home of a city council member who supported a zoning variance application for data center construction. Thirteen shots and a note reading "No data centers" — an unambiguous signal to those facilitating the expansion of digital infrastructure.

These events have caused serious alarm in the AI industry. Antagonism toward artificial intelligence technologies has long gone beyond academic discussions and petitions: some critics are convinced that companies developing powerful models are threatening the very existence of the human species. Now this rhetoric is being converted into direct threats against specific individuals.

Notably, targets are not only top executives of major AI laboratories, but also municipal officials making routine infrastructure decisions. Data centers — the physical foundation of any AI system — are becoming symbols of resistance for those who view technological progress as an existential threat. For the industry, this is a fundamentally new reality.

Until now, the main risks for AI companies were considered to be regulatory pressure, lawsuits, and reputational scandals. Physical violence against founders and allies — this is a different dimension of threat for which the industry was unprepared. The question of how to build security in conditions where technology opponents resort to direct action is becoming as urgent for AI leaders as the technical risks of the systems themselves.