David Robinson spent three and a half years at OpenAI writing the safety reports that accompanied the company's biggest product launches. On Saturday, he published an essay in The Atlantic titled "I Quit OpenAI Because Its Culture Is Broken," announcing his resignation and arguing that the OpenAI culture around how the company builds artificial intelligence needs fundamental change.

Robinson is, by his own admission, "something of a clichΓ©": a safety worker at a leading AI lab who quits with a dire warning. He described himself as among the longest-tenured employees at OpenAI and said the company's "culture is broken." The essay suggests the OpenAI culture he saw rewards speed over caution, and that the same OpenAI culture has spread across the industry.

Trial and error at growing scale

"OpenAI has thrived by trial and error (which it calls 'iterative deployment'), looking for problems and improving its guardrails in response," he wrote. "But this approach, by its very nature, guarantees periodic failures - and the scale of those failures is growing as systems get more capable."

Robinson pointed to the recent breach of Hugging Face's systems by OpenAI agents, and to what he described as continuing revelations about rogue agents discovered inside OpenAI. an environment where things like this can happen is "no place to grow artificial minds" that could outsmart people and refuse to follow instructions, he wrote.

Run it like a nuclear plant

He argued that frontier AI companies need to operate "like nuclear-power plants or busy airports, with layers of redundancy and careful, time-consuming planning, so that the occasional and inevitable human error does not open a door to disaster." In his time at the company, he wrote, he "never encountered a colleague who had experience making airplanes fly safely or nuclear reactors run without melting down, or helping the financial system grow without collapsing."

A fight beyond OpenAI

Robinson's essay lands in the middle of a broader argument about AI safety. Jacob Coxon, a researcher who worked at both OpenAI and Anthropic, recently declared that these companies are "gambling with our lives," according to TechCrunch. Anthropic chief executive Dario Amodei has since unveiled a plan for more cautious AI development, and AI executives met with President Donald Trump this week, signing what appeared to be a hastily written, non-binding pledge to add more safety controls.

But Robinson argued the debate has to move past "specific rules or new laws" and address the OpenAI culture inside these companies. Much of the reporting around OpenAI has focused on how chief executive Sam Altman lost the trust of former colleagues, and Robinson's essay points to the same habits across Silicon Valley at large.

He also raised deeper questions about alignment, a term he admitted could sound "touchy-feely," and about what the OpenAI culture gets wrong on safety testing. The industry's measures of how well AI systems match human values remain "coarse," he wrote. "The smarter the industry lets models grow while these problems remain unsolved, the more dangerous our situation becomes."

OpenAI's response

In response to the essay, OpenAI spokesperson Drew Pusateri said the company continues to improve its safety measures, according to TechCrunch. In a statement, Pusateri said OpenAI is making sure its models do not become more capable than they can safely manage and secure, and that the company pauses training or holds back models when it needs to slow down. He also cited significant changes to strengthen security in research and testing environments, efforts to train models to complete tasks responsibly, expanded work with third-party evaluators, and improved real-time monitoring to detect concerning behavior earlier in training.

Speaking out on his own terms

Robinson's warning is ultimately about trust in the systems people use every day. A separate study found that trust is the real currency of AI shopping, according to the researchers.

Robinson's departure was first reported by Business Insider. In the essay, he acknowledged following what he called a common step in the AI whistleblower playbook: he hired a public relations firm. He insisted, though, that the decision to speak out was his alone.

He also wrote that he should have stayed to fight for "fundamental shifts" in staffing and culture, but that he and his colleagues were too busy "sprinting" to consider big changes, let alone make them. That, he concluded, is why stronger incentives for safety have to come "from outside the company." For readers, the stakes are concrete: the systems trained under this culture are already in phones, classrooms, and workplaces, and the safeguards around them are written by people who now say the process is broken. The concerns reach younger users too: a recent report found that AI friendships can leave middle schoolers lonelier. TechCrunch's full report carries the complete essay context.