Famous Silicon Valley venture capitalist warns: If open-source AI is banned, cost pressures could cause the entire US stock market to collapse.
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Renowned venture capitalist Chamath Palihapitiya has issued a stern warning, stating that if the U.S. government bans companies from using open-source AI, the resulting cost transmission mechanism will severely damage corporate profits and consequently drag down the entire stock market. This statement comes amid a dramatic intensification of debate in Washington over the regulation of open-source AI.
Palihapitiya stated bluntly on last weekend's "All-In" podcast: "If the U.S. government steps in, the U.S. stock market will collapse, no doubt about it."

Using Coca-Cola as an example, he pointed out that if companies are forced to use closed-source AI, their AI usage costs will be 50 to 100 times higher than existing optimal alternative solutions, and this cost pressure will eventually force the market to re-evaluate these companies. Meanwhile, his co-host, former AI and crypto executive David Sacks, directly called out Anthropic, criticizing its lobbying of the government to restrict competitors as "disgraceful."
These remarks come in the context of Chinese startup Moonshot AI releasing the open-source model Kimi K3, which outperformed Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in blinded frontend programming tasks. This has heightened U.S. vigilance over Chinese AI competition and prompted some to call for restrictions on open-source models.
Cost Transmission Logic: Why Banning Open Source Would Hit U.S. Stocks Hard
Palihapitiya's core argument centers on distorted cost structures.
He points out that AI has become a crucial input for business operations, and if the government forces companies to use only closed-source commercial models, the costs will be "orders of magnitude" higher than open-source alternatives.
"You're being forced to shoulder unreasonable, non-market-driven costs," he said, "while your competitors outside the U.S. are not subjected to these constraints, which will directly harm the competitiveness of American companies."
Using Coca-Cola as an example, he described a scenario where, as AI costs skyrocket and corporate profit margins come under pressure, the market would have to downgrade its valuation expectations for such companies. This logic applies to almost all traditional enterprises undergoing AI transformation, suggesting a potentially broad market impact.
Targeting Anthropic: Regulatory Arbitrage or Market Competition
Palihapitiya further directed his criticism at the AI labs themselves. He warned that if the government truly bans open-source AI, the valuations of Anthropic and OpenAI would instead "collapse," because their current revenues do not come from real market competition but are instead artificially supported by regulatory barriers.
"All these revenues are propped up artificially—not driven by competitive market demand, but gained through the artificial constraints of regulatory arbitrage," he said. "But such constraints are only effective in one market."
David Sacks’ remarks were even sharper.
He pointed out that Anthropic, as "one of the most successful tech companies in history," has sought protection from the government, not only against Chinese competitors but also competitors from the U.S. itself. "Frankly, it’s disgusting," he said.
Sacks also warned that if it’s declared that U.S. companies may not use open-source works in the public domain, it would be "stabbing a knife into the heart of the entire U.S. open-source ecosystem."
Industry Joins Forces, Tech Giants Rally Behind Open Source
Amid rising regulatory pressure, the tech industry has begun to fight back collectively.
According to CNBC, more than 20 companies including Nvidia, Microsoft, Meta, and Palantir jointly signed a letter last Friday, urging policymakers to avoid “premature restrictions” on open-source weight models and warning that such restrictions would "kill competition or drive innovation overseas."
Nvidia CEO Jensen Huang also stated on social media that open-source models help strengthen security and cyber-defense, accelerate the diffusion of innovation, and safeguard technological sovereignty.
Notably, Anthropic did not sign this joint letter.
White House Divisions: Sanctions Threats and Promises of Protection Coexist
Washington’s stance is far from unified.
White House science director Michael Kratsios publicly accused Moonshot AI last Wednesday of "distilling" Anthropic’s Fable model technology, and claimed the company obtained restricted Nvidia GB300 chips via servers in Thailand to train its models. Treasury Secretary Scott Bessent also stated clearly on social media that when Chinese companies’ distillation activities "cross the line into intellectual property theft," sanctions and inclusion on entity lists are on the table.
However, that same weekend, the open-source camp seemed to receive a positive signal. Y Combinator public policy head Luther Lowe posted that at Saturday’s White House Correspondents’ Dinner he spoke with Commerce Secretary Howard Lutnick, who told him directly: "This administration will protect open-source AI."
This suggests that, despite the tough rhetoric around Chinese AI competition, there remains a clear split within the administration over a total ban on open source, and the policy direction has yet to be finalized.
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