BusinessSaturday, October 10, 2026· 2 min read

Amazon Boosts AI Infrastructure Transparency by Dropping Data Center NDAs

TL;DR

Amazon says it will stop using NDAs in data center negotiations with local governments, following a similar move by Microsoft. The shift could help communities better understand and shape the AI infrastructure being built around them.

Key Takeaways

  • 1Amazon will end the use of NDAs when negotiating data center deals with local governments.
  • 2The move follows Microsoft’s similar transparency commitment earlier this year.
  • 3Greater openness may help reduce community backlash around AI infrastructure projects.
  • 4This is a meaningful step toward more accountable and publicly understood AI growth.

Amazon is taking a notable step toward more transparent AI infrastructure development by saying it will stop using non-disclosure agreements when negotiating data center deals with local governments.

The change matters because data centers are becoming a critical backbone for AI services, cloud computing, and next-generation digital tools. By reducing secrecy around these projects, local communities may gain more visibility into issues like land use, energy demand, water consumption, jobs, and public benefits.

A transparency win for AI infrastructure

Community concern has grown as data center development accelerates across the U.S., with some regions considering or enacting moratoriums. Amazon’s decision, following a similar move from Microsoft, suggests major cloud providers are recognizing that public trust is essential for sustainable AI expansion.

  • More informed communities: Residents and officials can better evaluate proposed projects.
  • Stronger public trust: Open negotiations may reduce suspicion and backlash.
  • Healthier AI growth: Transparent infrastructure planning can support responsible long-term deployment.

While the broader AI economy continues to evolve quickly, this move is a positive sign that leading technology companies are adapting their practices to meet public expectations for accountability.

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