A coalition of leading technology companies, including Nvidia, Microsoft, Meta, and IBM, has publicly called on U.S. lawmakers to support open-source artificial intelligence models, arguing that overly restrictive regulation could slow innovation and weaken the country’s global competitiveness.

In an open letter signed by more than two dozen organizations, Nvidia CEO Jensen Huang urged policymakers to avoid imposing premature restrictions on open AI models, warning that excessive regulation could push AI development and investment to other countries.

The statement comes as governments worldwide debate how to regulate increasingly powerful AI systems. At the center of the discussion is the growing divide between open-weight models, whose underlying parameters can be downloaded and customized by developers, and closed-source models controlled exclusively by companies such as OpenAI and Anthropic.

Supporters of open-source AI argue that greater transparency strengthens security and accelerates innovation. By allowing researchers to inspect and modify models, vulnerabilities can be identified more quickly, safeguards can be improved collaboratively, and organizations can deploy AI within their own infrastructure without depending entirely on external providers.

The coalition also highlighted economic considerations. Enterprise customers are increasingly seeking AI models that can run inside private data centers, giving organizations greater control over operational costs, privacy, and compliance. Technology executives have argued that open-weight models could reduce long-term AI deployment expenses while expanding access to advanced AI capabilities.

The debate has intensified following recent cybersecurity incidents and growing geopolitical tensions surrounding artificial intelligence. Some U.S. lawmakers have proposed stronger oversight measures, including requirements for emergency “kill switches” in advanced AI systems, while the U.S. government is also considering additional restrictions targeting certain Chinese AI developers over intellectual property concerns.

Although the letter acknowledges concerns regarding technology theft and misuse, the signatories argue that these risks should be addressed through targeted legal protections and commercial agreements rather than broad restrictions affecting the entire open-source AI ecosystem.

The coalition further contends that transparency itself can enhance security. Unlike proprietary systems that operate largely as black boxes, open-weight models enable independent researchers to evaluate system behavior, discover weaknesses, and contribute improvements that benefit the wider AI community.

The letter reflects an increasingly important shift in the AI industry. As the technology matures, competition is no longer centered solely on model performance but also on governance, accessibility, security, and the balance between openness and regulatory oversight.