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OpenAI weighs rebranding data centers as 'AI compute campuses'
OpenAI is preparing a public relations push for after the US midterm elections, Axios reported, according to TechCrunch. Chief global affairs officer Chris Lehane discussed several proposals, including AI "speed limits" and rebranding data centers as "AI compute campuses." Lehane said he expects AI to be a central issue in the 2028 presidential election.
Key points
- Axios reported OpenAI is planning a public relations push after the US midterm elections.
- Chris Lehane's proposals include AI speed limits and calling data centers AI compute campuses.
- Amazon and Microsoft have said they will stop using NDAs with local governments.
What happened: OpenAI is preparing what Axios called a "PR blitz" for after the US midterm elections, TechCrunch reported, citing Axios. TechCrunch opened its report by noting that data centers are deeply unpopular, and one of the ideas under discussion is to call them something else: "AI compute campuses."
The details: OpenAI's chief global affairs officer Chris Lehane told Axios that the midterms will be "a bit of a movie trailer for what you're going to see in 2028," and that he expects AI to be the issue in that presidential election. According to the report, Lehane's proposals for shaping the AI debate include developing AI "speed limits," helping people see AI as empowering them in daily life, pushing the US to take a role in developing global standards and rebranding data centers. OpenAI has not said whether the rebrand has been decided, when the campaign would start or what the speed limits would involve.
Background: Lehane called the data center conversation "good and healthy," and said communities should hold companies responsible and accountable so they get a transformative benefit from these projects. TechCrunch noted that the debate has already pushed Amazon and Microsoft to say they will no longer use NDAs in negotiations with local governments.
What to watch: How AI companies handle local opposition to new facilities could affect where compute is built and how quickly new capacity comes online.
Our take
Public resistance to data centers is becoming a political issue that can shape where AI capacity gets built and how vendors talk about the costs of the tools teams buy.