Amazon drops NDAs in data center talks as AI infrastructure backlash grows
Mounting resistance to AI infrastructure is pushing major technology companies to reconsider how they negotiate data center projects with local authorities. Amazon says it will stop using nondisclosure agreements in those discussions, following a similar move by Microsoft earlier this year.
Highlights
- Amazon will stop requiring NDAs in data center negotiations with local governments, mirroring a shift by Microsoft earlier in 2024.
- Community backlash and transparency concerns over AI-related data center projects have led to hundreds of moratoriums from New York to San Francisco.
- Trust and transparency issues are emerging business risks as both established companies and AI startups seek deeper access to user data for scaling operations.
Shift in data center negotiation practices
As reported by TechCrunch, Amazon says it will stop using NDAs when negotiating data center deals with local governments, marking a change in how large technology groups approach project discussions tied to AI expansion.The move follows a similar decision by Microsoft earlier this year. The change comes as secrecy around data center planning has drawn criticism from communities concerned about how AI infrastructure projects affect local resources, oversight and public input.
Trust pressures spread across AI industry
Opposition to data center development has helped drive hundreds of proposed and enacted moratoriums, from New York to San Francisco, underscoring how permitting and community relations are becoming business risks for companies scaling AI capacity.The discussion extends beyond infrastructure. A new wave of startups is betting consumers will allow AI agents to access inboxes, files and credit cards, but their business models also depend on building enough trust for users and websites to accept deeper access.
In our earlier coverage of voter and investor concerns around AI data center expansion, we noted that growing local opposition was turning data center buildouts into a political issue with potential repercussions for markets. The piece outlined how post-election policy proposals—ranging from consumer utility-bill protections to possible limits on new construction—could slow the pace of AI infrastructure investment and raise regulatory and project-execution risks.
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