Artificial Intelligence

Nvidia’s Jensen Huang Says Don’t Cripple Open AI

Industry Coalition Warns Against Restricting America’s AI Future

Some of the biggest names in American technology have delivered a clear message to Washington: do not cripple the next generation of artificial intelligence with premature government restrictions.

A coalition of 25 technology companies has published an open letter titled Open Weights and American AI Leadership, arguing that the United States should embrace open weight AI models rather than restrict them. The letter appeared as policymakers debate whether national security concerns justify tighter controls on advanced AI technology, particularly as increasingly capable Chinese models enter the global market.

The signatories include Nvidia, Microsoft, Meta, Palantir, IBM, Hugging Face, Andreessen Horowitz, Perplexity and many other leading organizations. Noticeably absent were OpenAI and Anthropic, both of which primarily develop proprietary AI systems and are preparing for major initial public offerings.

What Are Open Weight AI Models?

At the center of the debate is a technology strategy known as open weight AI.

Unlike closed AI systems that only operate through a company’s servers, open weight models allow users to download the model, run it on their own hardware, modify it for specific purposes and integrate it into their own applications.

Supporters argue this approach dramatically lowers the cost of innovation. Universities, startups, researchers and businesses no longer need billions of dollars to build an advanced AI system from scratch. Instead, they can begin with an existing model and customize it for specialized tasks.

The coalition argues that this creates a much broader and more competitive AI marketplace rather than concentrating power among only a handful of giant corporations.

Why Restrictions Are Being Considered

The timing of the letter is no accident.

Chinese open weight AI models have been advancing rapidly, raising concerns inside the Trump administration over national security and intellectual property theft.

One catalyst has been Moonshot AI’s Kimi K3 model, which reportedly performs at or above many leading American models on several industry benchmarks. At the same time, White House officials have accused Chinese companies of using “distillation” to reproduce capabilities from American AI systems without authorization.

Treasury Secretary Scott Bessent has indicated that the administration is investigating whether Chinese firms improperly acquired American intellectual property and suggested sanctions could be used if theft is confirmed. White House adviser Michael Kratsios likewise argued that while legitimate AI distillation has long been an accepted research technique, “large scale, covert industrial distillation aimed at stealing proprietary U.S. technology” is unacceptable.

Those developments have fueled discussions about limiting access to Chinese open models or imposing broader restrictions on open weight AI itself.

The Case Against Restrictions

The technology companies argue that would be exactly the wrong response.

Their letter warns that “premature restrictions” would stifle competition, reduce innovation and ultimately drive AI development overseas.

Rather than treating openness as a weakness, the companies argue that it is actually one of America’s greatest strengths.

According to the letter, relying entirely on closed AI systems creates dangerous concentrations of power. Closed systems can still be breached, misused or fail in ways that outsiders cannot independently examine.

“Relying solely on closed models is not inherently safe,” the letter states. “They can be breached, misused, or fail in ways that outsiders cannot detect.”

The authors continue that concentrating advanced AI behind only a small number of proprietary models actually compounds those risks instead of reducing them.

The coalition also argues that open models encourage cybersecurity by allowing thousands of independent researchers to discover vulnerabilities, develop fixes and improve safety over time instead of relying on a small number of companies.

Lessons From the Internet Revolution

Perhaps the strongest historical comparison made by the coalition reaches back to the early days of open source software.

The companies argue that many policymakers initially questioned whether freely available software could ever become secure enough or commercially successful. Instead, open source software evolved into one of the foundational technologies powering today’s internet.

According to the letter, software developed by the open source community now supports much of the internet and is used by many of the world’s largest technology companies as well as the U.S. military and federal agencies conducting scientific research and cybersecurity missions.

The coalition argues that open AI represents a similar opportunity. Rather than weakening American leadership, open technologies could become the common foundation upon which thousands of American businesses build new products and industries.

Jensen Huang Takes a Public Stand

One of the most prominent supporters of the effort is Nvidia CEO Jensen Huang.

Huang not only signed the letter, he used his first ever post on X to publicly promote it.

He summarized the industry’s position by writing, “Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.”

He concluded with what has become the central message of the campaign.

“The world needs both frontier closed models and frontier open models.”

Huang also compared today’s debate with the open source software movement of the 1980s, arguing that policymakers should avoid repeating the mistake of restricting a technology that could become the foundation of future American innovation.

An Open Ecosystem or a Closed Future?

The coalition is not arguing that security concerns should be ignored.

Instead, the companies recommend narrowly targeted legal and commercial responses to intellectual property theft while preserving legitimate research practices such as AI distillation. They argue that criminal behavior should be prosecuted without restricting technologies that benefit the broader economy.

The letter concludes that America’s AI leadership will not ultimately be measured by a single breakthrough model.

Instead, success will depend on whether the United States builds what the coalition calls “a strong, open ecosystem” that spreads advanced AI throughout the economy, encourages competition and keeps innovation centered in America rather than driving it to foreign competitors.

As Washington weighs national security against technological openness, some of America’s largest technology companies have made their position unmistakably clear. Their argument is that the United States won the software revolution by embracing openness, and it can win the AI revolution the same way.

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