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OpenAI introduces new policy framework for data center projects

AI giant details new standards for data center development, promising full cost coverage and community engagement.

Not Journal • • 2 min read
(Photo via Business Insider)

(Photo via Business Insider)

OpenAI announced a new policy framework on Nov. 5, 2026, outlining updated standards for the development of its data centers, which the company is now referring to as compute campuses. The initiative includes two primary documents, the National Community Compact and the Compute Campus Policy Blueprint, intended to guide future infrastructure projects.

Under the new guidelines, OpenAI has pledged to cover the full costs of electricity and infrastructure associated with its facilities. The company committed to providing financial assurances to protect other utility customers in the event that a project is delayed, reduced, or canceled. Additionally, the framework proposes that utilities be allowed to throttle power to these sites during peak demand periods, with a commitment from the company to supply power back to the grid during emergencies.

Transparency measures within the framework require the public disclosure of data regarding water and energy usage, noise levels, and potential job openings. OpenAI also stated it will end the use of nondisclosure agreements with public officials during site negotiations and will share construction plans to solicit input from local residents.

The company plans to prioritize the use of closed-loop cooling systems and will work with local unions for hiring while investing in community improvement projects. Chris Lehane, chief global affairs officer at OpenAI, stated that the framework is intended to be ready for the new Congress when it convenes in late January 2027.

Greg Brockman, president of OpenAI, noted that the company aims to improve communication with local communities regarding the potential benefits of these facilities. A company spokesperson described the compute campus rebrand as a reflection of the scale and long-term investment in energy and infrastructure required for artificial intelligence.

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