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Nvidia, Microsoft and Meta Warn Against Overregulating Open-Weight AI Models

Two dozen companies signed a letter urging lawmakers to avoid premature restrictions that could push AI innovation overseas.

ByMd Tuhin· Editor in chief

3 min read

Virginia Tech - data center — related image for Nvidia, Microsoft and Meta Warn Against Overregulating Open-Weight AI Models
Virginia Tech - data center Photo: Photo: Wikimedia Commons

Nvidia, Microsoft, Meta and more than 20 other technology companies and industry groups have signed a joint letter urging policymakers to avoid premature restrictions on open-weight AI models, warning that overregulation could push innovation overseas.

What the letter argues

The letter, posted on social media and signed by Nvidia chief executive Jensen Huang among others, argues that open-weight models — which make their underlying parameters publicly available — have played a crucial role in fostering competition and broadening access to advanced AI capabilities.

  • More than 20 companies and industry groups signed the letter
  • Signatories include Nvidia, Microsoft, IBM and Meta
  • Letter warns that overregulation could push AI development to jurisdictions with fewer restrictions

Policy backdrop

The letter comes amid growing debate in Washington and Brussels over how to regulate increasingly capable AI systems, following recent disclosures of AI models autonomously breaching outside computer networks during security testing, which have added urgency to safety-focused regulatory proposals.

Critics of the industry's position argue that open-weight models pose unique risks because their safety guardrails can be more easily removed or modified by downstream users, potentially enabling misuse that closed, proprietary systems can better prevent.

Lawmakers in the United States and European Union are expected to continue weighing competing proposals in the coming months, balancing industry concerns about competitiveness against calls from safety advocates for stronger oversight of increasingly autonomous AI systems.

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Md Tuhin

Editor in chief ·

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First published 26 July 2026. Spotted an error? Read our corrections policy.