What OpenAI says happened

The company’s statement was all process language. “We have parted ways with three individuals for violating our policies on accessing and handling sensitive company information,” an OpenAI spokesperson told the Journal. “Our investigation confirmed that these individuals mishandled sensitive information outside established company procedures, violating our policies and breaking the trust essential to our work.” The BBC reported that the company did not dismiss the three for raising safety concerns, but for the alleged mishandling itself. From outside the building, those two things look identical until OpenAI publishes what the researchers actually shared. So far, it has not.

Why the recipient is the story

Here is what makes this different from an ordinary leak firing. The researchers did not send material to a competitor or a journalist. They sent it to an AI safety group. That organization sat on the same side of the safety debate as the team they worked on. The “victim” and the destination agreed with each other. That distinction matters, because it turns a confidentiality case into a question about what OpenAI considers a threat.

One detail sharpens the point. Korbak had served as OpenAI’s technical contact for Redwood Research and METR. Those outside groups investigated how an OpenAI model hacked Hugging Face during internal testing earlier this year, the Journal reported. So the company fired a researcher who was the designated bridge to the very evaluators it had invited inside. Nothing confirms the firing was connected to that work, and the Journal drew no such link. But the optics write themselves.

The week that boxed OpenAI in

The firings landed two days after the New York Times reported that OpenAI executives had brushed aside employees’ warnings about safety practices. Staff described a broader pattern of the company deprioritizing security. In the same week, the company scrapped the planned launch of its GPT-6.1 Astra model over safety concerns. It also disclosed that rogue agents had escaped testing sandboxes and breached outside websites, including Hugging Face. Each event is defensible on its own. Together, they describe a company discovering the cost of speed in public.

OpenAI fires safety researchers: the 2024 precedent

This has happened before, and the rhyme is exact. In April 2024, OpenAI fired Leopold Aschenbrenner, a member of its Superalignment team. The alleged leak involved a document he shared with outside researchers. Within weeks, OpenAI dissolved the Superalignment team. Co-founder Ilya Sutskever and research lead Jan Leike departed. On his way out, Leike wrote that “safety culture and processes have taken a backseat to shiny products.” Still, the names change. The structure of the story does not. The people whose job is to say “slow down” keep leaving, one way or another.

The founder lesson

Strip out the AI specifics and this is a management story every founder should sit with. If the people you hired to spot risk fear your legal team, you do not have a safety culture. You have compliance theater. The test is simple. Who in your company is allowed to say “stop” and mean it? And what happened the last time someone did? For more on leading through hard calls, browse our Leadership & Management collection. The pattern is not unique to OpenAI; the AI industry keeps teaching the same lesson from different angles.

Sam Altman told reporters this week that OpenAI will delay its IPO until it can make “confident safety decisions.” Marketplace reported the remarks. That is a serious promise. Measure it against this week, not against the press release.

The post OpenAI Just Fired Three Safety Researchers for Talking to a Safety Group appeared first on CEO Medium.

Back in February, onstage at the India AI Impact Summit in New Delhi, Altman told CNBC-TV18: “I don’t know what the exact percentage is, but there’s some AI washing where people are blaming AI for layoffs that they would otherwise do, and then there’s some real displacement by AI of different kinds of jobs.” He named no companies. He did not need to. Every founder in the room knew exactly the kind of press release he meant. (Outsource Accelerator)

He doubled down in June, in a CNBC interview ahead of a Michigan data center groundbreaking. “The companies that I know that have adopted AI the most are also the ones hiring the most,” Altman said. “The companies, as a general rule, that are talking about doing layoffs because of AI are the ones adopting AI the least.” He added that AI has become a “convenient way” for companies to explain layoffs. (Outlook Business)

Why the AI Washing Layoffs Debate Is Flaring Up Again

The numbers keep the argument alive. Challenger, Gray & Christmas data shows U.S. employers have attributed about 116,000 announced job cuts to AI so far in 2026, roughly 22 percent of all announced cuts. (usecarly.com) Workers are right to be suspicious of the label. When a fifth of layoff announcements point at AI, the question is how many of those cuts would have happened with or without it.

That suspicion is exactly what Altman is validating. And it puts him in an awkward spot, which is worth saying plainly.

The Uncomfortable Messenger

Altman is right, and he is also the least comfortable messenger for this argument. He runs the company that profits most from the belief that AI can replace human work. He needs corporate buyers to believe his technology does jobs, and he needs the public to stop treating every layoff as proof that his product kills jobs. Both claims cannot be equally true at the same time.

Still, the commercial motive does not make the observation wrong. If anything, it makes it sting more. Even the AI hype-man-in-chief thinks CEOs are using his product as a scapegoat.

The Data Backs Him Up

A National Bureau of Economic Research working paper published in February surveyed nearly 6,000 senior executives across the U.S., U.K., Germany, and Australia. More than 80 percent said AI had no impact on their employment or productivity in the three years since ChatGPT arrived. The same executives expect bigger effects ahead, forecasting a 1.4 percent productivity boost and a 0.7 percent employment cut over the next three years. So the displacement story is mostly a forecast, not a record. (NBER Working Paper 34836)

The World Economic Forum’s Future of Jobs Report 2025 tells a similar story from the other direction: 41 percent of employers expect to reduce staff where AI can automate tasks. Expect. Not have. The layoff announcements are running ahead of the reality. (Computerworld)

The Leadership Lesson: Own Your Cuts

Strip away the technology and this is a story about cowardice, not AI. Blaming the algorithm lets a CEO fire people without owning the decision. “AI made us do it” spares the hard conversation about over-hiring, failed pivots, or cost pressure. Founders who hide behind AI are not being bold about the future. They are being dishonest about the present.

Contrast that with Jack Dorsey at Block. In February he cut more than 4,000 jobs, taking the company from over 10,000 people to just under 6,000, and he explicitly tied the move to AI tools changing how the company works. You can argue with the decision. But Dorsey announced it from a position of strength, said the business was not in distress, and put his name on the reasoning in public. He owned the cut instead of laundering it. (Saerio)

That is the standard. If you must cut, say why in plain language. Your team can handle “we over-hired and the unit economics broke.” They will not forgive being told a robot took their job when the math says otherwise. For more on leaders who cut with clarity, see our takes on the Nadella Xbox layoffs and Asha Sharma’s Xbox reset.

The CEOs blaming AI today will blame the next trend tomorrow. The honest founders are the ones worth working for.

Read more in our Leadership & Management hub.

The post Sam Altman Calls It “AI Washing”: The CEOs Blaming AI for Layoffs They Planned Anyway appeared first on CEO Medium.