For the First Time, Artificial Intelligence Is Being Used at a Nuclear Power Plant

Alex Shultz Published April 13, 2025 | Comments (4)

Diablo Canyon, California’s sole remaining nuclear power plant, has been left for dead on more than a few occasions over the last decade or so, and is currently slated to begin a lengthy decommissioning process in 2029. Despite its tenuous existence, the San Luis Obispo power plant received some serious computing hardware at the end of last year: eight NVIDIA H100s, which are among the world’s mightiest graphical processors. Their purpose is to power a brand-new artificial intelligence tool designed for the nuclear energy industry.

Pacific Gas and Electric, which runs Diablo Canyon, announced a deal with artificial intelligence startup Atomic Canyon—a company also based in San Luis Obispo—around the same time, heralding it in a press release as “the first on-site generative AI deployment at a U.S. nuclear power plant.”

For now, the artificial intelligence tool named Neutron Enterprise is just meant to help workers at the plant navigate extensive technical reports and regulations — millions of pages of intricate documents from the Nuclear Regulatory Commission that go back decades — while they operate and maintain the facility. But Neutron Enterprise’s very existence opens the door to further use of AI at Diablo Canyon or other facilities — a possibility that has some lawmakers and AI experts calling for more guardrails.

PG&E is deploying the document retrieval service in stages. The installation of the NVIDIA chips was one of the first phases of the partnership between PG&E and Atomic Canyon; PG&E is forecasting a “full deployment” at Diablo Canyon by the third quarter of this year, said Maureen Zawalick, the company’s vice president of business and technical services. At that point, Neutron Enterprise—which Zawalick likens to a data-mining “copilot,” though explicitly not a “decision-maker”—will be expanded to search for and summarize Diablo Canyon-specific instructions and reports too.

“We probably spend about 15,000 hours a year searching through our multiple databases and records and procedures,” Zawalick said. “And that’s going to shrink that time way down.” (Emphasis mine- A. I worked at the nuke plant in my state in my 20s. I did Records Management. I’m not going to explain it all from back then the way I trained people, but it involves reading and interpreting what one has read in application to the function, part, area, etc. a document records, which is learned by reading the document, then coding it so it is efficiently retrieved later. So far, I don’t know that AI does that. Others who are more knowledgeable about records management and retrieval in this era and context may see better things than I see. The best worst I see is really angry and impatient engineers and inspectors in all the disciplines still at the plant. That’s no fun, anyway.)

Trey Lauderdale, the chief executive and co-founder of Atomic Canyon, told CalMatters his aim for Neutron Enterprise is simple and low-stakes: he wants Diablo Canyon employees to be able to look up pertinent information more efficiently. “You can put this on the record: the AI guy in nuclear says there is no way in hell I want AI running my nuclear power plant right now,” Lauderdale said.

That “right now” qualifier is key, though. PG&E and Atomic Canyon are on the same page about sticking to limited AI uses for the foreseeable future, but they aren’t foreclosing the possibility of eventually increasing AI’s presence at the plant in yet-to-be-determined ways. According to Lauderdale, his company is also in talks with other nuclear facilities, as well as groups who are interested in building out small modular reactor facilities, about how to integrate his startup’s technology. And he’s not the only entrepreneur eyeing ways to introduce artificial intelligence into the nuclear energy field.

In the meantime, questions remain about whether sufficient safeguards exist to regulate the combination of two technologies that each have potential for harm. The Nuclear Regulatory Commission was exploring the issue of AI in nuclear plants for a few years, but it’s unclear if that will remain a priority under the Trump administration. Days into his current term, Trump revoked a Biden administration executive order that set out AI regulatory goals, writing that they acted “as barriers to American AI innovation.” For now, Atomic Canyon is voluntarily keeping the Nuclear Regulatory Commission abreast of its plans.

Tamara Kneese, the director of tech policy nonprofit Data & Society’s Climate, Technology, and Justice program, conceded that for a narrowly designed document retrieval service, “AI can be helpful in terms of efficiency.” But she cautioned, “The idea that you could just use generative AI for one specific kind of task at the nuclear power plant and then call it a day, I don’t really trust that it would stop there. And trusting PG&E to safely use generative AI in a nuclear setting is something that is deserving of more scrutiny.”

For those reasons, Democratic Assemblymember Dawn Addis—who represents San Luis Obispo—isn’t enthused about the latest developments at Diablo Canyon. “I have many unanswered questions of the safety, oversight, and job implications for using AI at Diablo,” Addis said. “Previously, I have supported measures to regulate AI and prevent the replacement and automation of jobs. We need those guardrails in place, especially if we are to use them at highly sensitive sites like Diablo Canyon.” (snip-MORE; not tl;dr, though.)