OpenAI CEO Sam Altman shared his view of the promise and peril of advanced artificial intelligence at a Federal Reserve conference in Washington, D.C. on July 22, 2025. (Photo by Andrew Harnik/Getty Images)

For as much promise as artificial intelligence shows in making life better, OpenAI CEO Sam Altman is worried.

The tech leader who has done so much to develop AI and make it accessible to the public says the technology could have life-altering effects on nearly everything, particularly if deployed by the wrong hands.

There’s a possible world in which foreign adversaries could use AI to design a bio weapon to take down the power grid, or break into financial institutions and steal wealth from Americans, he said. It’s hard to imagine without superhuman intelligence, but it becomes “very possible,” with it, he said.

“Because we don’t have that, we can’t defend against it,” Altman said at a Federal Reserve conference this week in Washington, D.C. “We continue to like, flash the warning lights on this. I think the world is not taking us seriously. I don’t know what else we can do there, but it’s like, this is a very big thing coming.”

Altman joined the conference Tuesday to speak about AI’s role in the financial sector, but also spoke about how it is changing the workforce and innovation. The growth of AI in the last five years has surprised even him, Altman said.

He acknowledged real fear that the technology has potential to grow beyond the capabilities that humans prompt it for, but said the time and productivity savings have been undeniable. 

OpenAI’s most well-known product, ChatGPT, was released to the public in November 2022, and its current model, GPT-4o, has evolved. Last week, the company had a model that achieved “gold-level performance,” akin to operating as well as humans that are true experts in their field, Altman said.

Many have likened the introduction of AI to the invention of the internet, changing so much of our day-to-day lives and workplaces. But Altman instead compared it to the transistor, a foundational piece of hardware invented in the 1940s that allowed electricity to flow through devices.

“It changed what we were able to build. It became part of, kind of, everything pretty quickly,” Altman said. “And in the same way, I don’t think you’ll be talking about AI companies for very long, you will just expect products and services to use this technology.”

When prompted by the Federal Reserve’s Vice Chair for Supervision Michelle Bowman to predict how AI will continue to evolve the workforce, Altman said he couldn’t make specific predictions.

“There are cases where entire classes of jobs will go away,” Altman said. “There are entirely new classes of jobs that will come and largely, I think this will look somewhat like most of history, and that the tools people have to use their jobs will let them do more, achieve things in new ways.” 

One of the unexpected upsides to the rollout of GPT has been how much it is used by small businesses, Altman said. He shared a story of an Uber driver who told him he was using ChatGPT for legal consultations, customer support, marketing decisions and more.

“It was not like he was taking jobs from other people. His business just would have failed,” Altman said. “He couldn’t pay for the lawyers. He couldn’t pay for the customer support people.”

Altman said he was surprised that the financial industry was one of the first to begin integrating GPT models into their work because it is highly regulated, but some of their earliest enterprise partners have been financial institutions like Morgan Stanley. The company is now increasingly working with the government, which has its own standards and procurement process for AI, to roll out OpenAI services to its employees.

Altman acknowledged the risks AI poses in these regulated institutions, and with the models themselves. Financial services are facing a fraud problem, and AI is only making it worse — it’s easier than ever to fake voice or likeness authentication, Altman said.

AI decisionmaking in financial and other industries presents data privacy concerns and potential for discrimination. Altman said GPT’s model is “steerable,” in that you can tell it to not consider factors like race or sex in making a decision, and that much of the bias in AI comes from the humans themselves.

“I think AIs are dispassionate and unemotional,” Altman said. “And I think it’ll be possible for AI — correctly built — to be a significant de-biasing force in many industries, and I think that’s not what many people thought, including myself, with the way we used to do AI.”

As much as Altman touted GPT and other AI models’ ability to increase productivity and save humans time, he also spoke about his concerns.

He said that though it’s been greatly improved in more recent models, AI hallucinations, or models that produce inaccurate or made-up outputs, are possible. He also spoke of a newer concept called prompt injections, the idea that a model that has learned personal information can be tricked into telling a user something they shouldn’t know.

In addition to the threat of foreign adversaries using AI for harm, Altman said he has two other major concerns for the evolution of AI. It feels very unlikely, he said, but “loss of control,” or the idea that AI overpowers humans, is possible.

What concerns him the most is the idea that models could get so integrated into society and get so smart that humans become reliant on them without realizing.

“And even without a drop of malevolence from anyone, society can just veer in a sort of strange direction,” he said.

There are mild cases of this happening, Altman said, like young people overrelying on ChatGPT make emotional, life-altering decisions for them.

“We’re studying that. We’re trying to understand what to do about it,” Altman said. “Even if ChatGPT gives great advice, even if chatGPT gives way better advice than any human therapist, something about kind of collectively deciding we’re going to live our lives the way that the AI tells us feels bad and dangerous.” 

As power-hungry data centers proliferate, states are searching for ways to protect utility customers from the steep costs of upgrading the electrical grid, trying instead to shift the cost to AI-driven tech companies. (Dana DiFilippo/New Jersey Monitor)

Regular energy consumers, not corporations, will bear the brunt of the increased costs of a boom in artificial intelligence that has contributed to a growth in data centers and a surge in power usage, recent research suggests.

Between 2024 and 2025, data center power usage accounted for $9 billion, or 174%, of increased power costs, a June report by Monitoring Analytics, an external market monitor for PJM Interconnection, found. PJM manages the electrical power grid and wholesale electric market for 13 states and Washington, D.C., and this spring, customers were told to expect roughly a $25 increase on their monthly electric bill starting June 1.

“The growth in data center load and the expected future growth in data center load are unique and unprecedented and uncertain and require a different approach than simply asserting that it is just supply and demand,” Monitoring Analytics’ report said.

Data centers house the physical infrastructure to power most of the computing we do today, but many AI models and the large AI companies that power them, like Amazon, Meta and Microsoft use vastly more energy than other kinds of computing. Training a single chatbot like ChatGPT uses about the same amount of energy as 100 homes over the course of a year, an AI founder told States Newsroom earlier this year.

The growth of data centers — and how much power they use — came on fast. A 2024 report by the Joint Legislative Audit and Review Commission in Virginia — known as a global hub for data centers — found that PJM forecasts it will use double the amount of average monthly energy in 2033 as it did in 2023. Without new data centers, energy use would only grow 15% by 2040, the report said.

As of July, the United States is home to more than 3,800 data centers, up from more than 3,600 in April. A majority of data centers are connected to the same electrical grids that power residential homes, commercial buildings and other structures.

“There are locational price differences, but data centers added anywhere in PJM have an effect on prices everywhere in PJM,” Joseph Bowring, president of Monitoring Analytics said.

Creeping costs

At least 36 states, both conservative and liberal, offer tax incentives to companies planning on building data centers in their states. But the increased costs that customers are experiencing have made some wonder if the projects are the economic wins they were touted as.

“I’m not convinced that boosting data centers, from a state policy perspective, is actually worth it,” said New Jersey State Sen. Andrew Zwicker, a Democrat and co-sponsor of a bill to separate data centers from regular power supply. “It doesn’t pay for a lot of permanent jobs.”

Energy cost has historically followed a socialized model, based on the idea that everyone benefits from reliable electricity, said Ari Peskoe, the director of the Electricity Law Initiative at the Harvard Law School Environmental and Energy Law Program. Although some of the pricing model is based on your actual use, some costs like new power generation, transmission and infrastructure projects are spread across all customers.

Data centers’ rapid growth is “breaking” this tradition behind utility rates.

“These are cities, these data centers, in terms of how much electricity they use,” Peskoe said. “And it happens to be that these are the world’s wealthiest corporations behind these data centers, and it’s not clear how much local communities actually benefit from these data centers. Is there any justification for forcing everyone to pay for their energy use?”

This spring in Virginia, Dominion Energy filed a request with the State Corporation Commission to increase the rates it charges by an additional $10.50 on the monthly bill of an average resident and another $10.92 per month to pay for higher fuel costs, the Virginia Mercury reported.

Dominion, and another local supplier, recently filed a proposal to separate data centers into their own rate class to protect other customers, but the additional charges demonstrate the price increases that current contracts could pass on to customers.

In June, the Federal Energy Regulatory Commission convened a technical conference to assess the adequacy of PJM’s resources and those of other major power suppliers, like Midcontinent Independent System Operator, Inc., ISO New England Inc., New York Independent System Operator, Inc., California Independent System Operator Corporation (CAISO) and Southwest Power Pool (SPP).

The current supply of power by PJM is not adequate to meet the current and future demand from large data center loads, Monitoring Analytics asserts in a report following the conference.

“Customers are already bearing billions of dollars in higher costs as a direct result of existing and forecast data center load,” the report said.

Proposed changes

One of the often-proposed solutions to soften the increased cost of data centers is to require them to bring their own generation, meaning they’d contract with a developer to build a power plant that would be big enough to meet their own demand. Though there are other options, like co-location, which means putting some of the electrical demand on an outside source, total separation is the foremost solution Bowring presents in his reports.

“Data centers are unique in terms of their growth and impact on the grid, unique in the history of the grid, and therefore, we think that’s why we think data centers should be treated as a separate class,” Bowring said.

Some data centers are already voluntarily doing this. Constellation Energy, the owner of Three Mile Island nuclear plant in central Pennsylvania, struck a $16 billion deal with Microsoft to power the tech giant’s AI energy demand needs. 

But in some states, legislators are seeking to find a more binding solution.

New Jersey Sen. Bob Smith, a Democrat who chairs the Environment and Energy Committee, authored a bill this spring that would require new AI data centers in the state to supply their power from new, clean energy sources, if other states in the region enact similar measures.

“Seeing the large multinational trillion dollar companies, like Microsoft and Meta, be willing to do things like restart Three Mile Island is crazy, but shows you their desperation,” said co-sponsor Zwicker. “And so, okay, you want to come to New Jersey? Great, but you’re not going to put the basis (of the extra cost) on ratepayers.”

New Jersey House members launched a probe into PJM’s practices as the state buys its annual utilities from the supplier at auction this month. Its July 2024 auction saw electrical costs increase by more than 800%, which contributed to the skyrocketing bills that took effect June 1.

Residents are feeling it, Smith said, and he and his co-sponsors plan to use the summer to talk to the other states within PJM’s regional transmission organization (RTO).

“Everything we’re detecting so far is they’re just as angry — the other 13 entities in PJM — as us,” Smith told States Newsroom.

Smith said they’re discussing the possibility of joining or forming a different RTO.

“We’re in the shock and horror stage where these new prices are being included in these bills, and citizens are screaming in pain,” Smith said. “A solution that I filed in the bill, is the one that says, ‘AI data centers, you’re welcome in New Jersey, but bring your own clean electricity with them so they don’t impact the ratepayers.”

Utah enacted a law this year that allows “large load” customers like data centers to craft separate contracts with utilities, and a bill in Oregon, which would create a separate customer class for data centers, called the POWER Act, passed through both chambers last month.

If passed, New Jersey’s law would join others across the country in redefining the relationship between data centers powering AI and utilities providers.

“We have to take action, and I think we have to be pretty thoughtful about this, and look at the big picture as well,” Zwicker said. ”I’m not anti-data center, I’m pro-technology, but I’m just not willing to put it on the backs of ratepayers.”