An analysis of 30+ US data center proposals in 14 states: in most cases, local officials signed NDAs and worked with apparent shell companies to hide details
Big Tech companies use secrecy agreements with local governments to keep communities from knowing who is building in their backyards. Bluesky: @justinhendrix . Forums: r/artificial Bluesky: Justin Hendrix / @justinhendrix : “An NBC News review of over 30 data center proposals across 14 states found that in a majority of cases, local officials signed NDAs and worked with what appeared to be shell companies that can conceal visibility into the project developers.” Forums: r/artificial : How NDAs keep AI data center details hidden from Americans
Context & Ripple Effects
The finding extends a long-running local-development playbook: earlier coverage documented NDAs used in tech real-estate negotiations and shell entities tied to data-center tax incentives.
It arrives as communities are already contesting proposed facilities over electricity and water demands, with opposition to data-center proposals growing across US towns. The issue is therefore not only disclosure, but whether local consent can be informed before commitments are made.
First-order effects
- Residents and some local stakeholders have less ability to identify a project sponsor or assess its terms while negotiations are covered by NDAs and intermediaries.
- Local officials become the principal gatekeepers of project information, while Big Tech and affiliated developers retain greater control over when details become public.
Second-order effects
- Secrecy can intensify mistrust once project details emerge, making hearings, permitting and incentive negotiations more contentious in communities already focused on utility impacts.
- Developers seeking rapid site control may face more pressure to disclose ownership, infrastructure needs and public commitments earlier, especially where local opposition is organized.
Third-order effects
- If this pattern persists, data-center expansion will increasingly depend on an AI infrastructure social license: communities may judge projects as much on transparency and process as on promised investment.
- The resulting friction could turn local disclosure rules and public-participation requirements into a material execution risk for large-scale compute buildouts, though outcomes will vary by jurisdiction.
The trend: AI infrastructure is shifting from a largely opaque economic-development project into a locally governed buildout whose pace depends on transparency, resource impacts and public acceptance.