OpenAI’s Chris Lehane Calls Data Centers Compute Campuses to Shift Perception
OpenAI chief global affairs officer Chris Lehane discussed the fallout from recent midterm elections and why his company prefers to call data centers compute campuses.
Republicans were not the sole casualties in the midterm cycle. Voters across the United States backed restrictions on data centers and elected candidates who pledged tighter oversight of artificial intelligence companies, according to the New York Times.
Out of 41 local ballot initiatives aimed at limiting data center expansion, 40 passed. OpenAI experienced the friction firsthand during the campaign season.
“I could take my shirt off and show you my [metaphorical] bruises if you want,” Chris Lehane told Today, Explained co-host Sean Rameswaram.
Lehane was speaking from rural Texas during a listening and learning tour near the site of a massive OpenAI data center facility. The company faces a public relations hurdle as approximately 70 percent of the country registers opposition to data centers in local communities.
To shift public perception, OpenAI introduced a documentation shift calling the facilities “compute campuses.” Lehane acknowledged the immediate skepticism surrounding the terminology change during his conversation on Today, Explained.
“We were very intentional in actually using that phrase,” Lehane said. “And we did it with the full knowledge that people would potentially be skeptical of it. But I do think there’s an intent behind provoking this conversation.”
Traditional data centers operated as empty boxes containing the physical infrastructure for streaming video and online deliveries, requiring minimal personnel. AI infrastructure differs significantly because it generates raw compute power needed to train and operate advanced models while producing six-figure local jobs, Lehane stated.
While OpenAI has roughly six facilities operating or under development in the United States, earlier industry approaches often alienated residents. Lehane said that previous developers frequently transferred electricity costs to the public and strained local water resources without offering adequate community investment.
OpenAI aims to avoid those pitfalls by paying for its own energy and utilizing closed water loops that function like large radiators to preserve water supplies, Lehane explained.
The midterm results show a deeper deficit of trust as a new Congress prepares to take office with pledges for stricter technology regulation. OpenAI previously urged lawmakers to establish mandatory national safety standards for frontier labs, a position Lehane maintains is increasingly urgent following the election.
“The policy window was opened up to create a real opportunity to pass those mandatory safety requirements,” Lehane said.
When questioned about political spending by Silicon Valley figures to defeat regulatory-minded candidates like New York assemblyman Alex Bores, Lehane pointed toward the necessity of establishing speed limits for artificial intelligence development. He compared potential safety protocols to automobile regulations designed to keep human operators in control.
“Our north star in everything when it comes to AI is that people should be in control of this technology,” Lehane said.
Looking ahead, Lehane characterized the 2026 midterms as a preview for the next presidential cycle. He said that politics will force candidates to present clear visions regarding the societal role of artificial intelligence.
“I think of 2026 as the trailer to 2028,” Lehane said. “AI was an issue. It wasn’t a top issue, but it was certainly an issue and an issue that was moving up the charts as we closer and closer to the election. I think there is a decent chance, maybe even a strong chance, that AI is the issue in 2028.”
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