Jensen Huang's abrupt resignation as Nvidia CEO has removed the leader who steered one of the world's most valuable companies for 33 years — and the market's first test arrives on November 18, when Anthropic seeks to raise upwards of $60 billion in its IPO. Huang's exit, tied to an affair with a woman alleged to be a Chinese spy, leaves the AI industry without its senior statesman and Nvidia's ecosystem without its chief financier.

"NVIDIA's leadership crisis is a stress test for the AI boom," Stephanie Balaouras, Forrester's VP and group research director, told Fortune.

The immediate market reaction stayed contained. Nvidia shares fell 6.3% in midday trading Thursday, and the Nasdaq dropped only 95 points. But the wider consequences are harder to bound: Nvidia supplies the GPUs behind services like ChatGPT and Claude, and it has functioned as the industry's "central bank," financing scores of dependent companies.

What does Huang's exit change for AI investment?

"Obviously Nvidia is more than Jensen Huang, but he kind of championed a whole range of investments," a VC investor focused on early-stage companies told Fortune. "There is a question around whether the pace of investment in AI and the size of the amounts of capital going into companies can be continued. Because by any stretch of the imagination, it's been quite extreme."

The Anthropic IPO, alongside OpenAI's expected 2027 listing, now carries make-or-break weight. A startup founder put the stakes plainly: "If the Anthropic IPO doesn't go well and if the OpenAI IPO down the line doesn't go well, there's a question of: Is there a path to profitability for any players in the AI space?"

Anthropic's S-1 filing shows roughly $900 billion in compute spending commitments over the coming decades, spent largely with cloud providers. The five-year-old company could command a valuation above $1.4 trillion at its Wall Street debut.

Karl Alomar, a partner at venture firm M1, expects investors to look past the Nvidia shakeup. "From where I stand, Anthropic is still in as good, as strong and as good a position as it was before this news came out," he said. "Anthropic's numbers are fantastic, and they've clearly shown that they have excess capacity for what they need."

Will the Nvidia money train stop?

The squeeze will land first on the smaller "neo-cloud" companies — many financed by Nvidia itself — that buy chips in bulk and rent out computing power. Jay Goldberg, an analyst at Seaport Research Partners and one of the few Wall Street voices with a sell rating on Nvidia, explained Huang's logic: "He'd rather have 300 small customers who are dependent on him than three massive ones who you can't negotiate with."

Interim CEO Coleen Kress, Nvidia's CFO, may not share that appetite. According to The Information, Kress occasionally pushed back against Huang's deals, including a backstop of $250 billion in credit for an OpenAI datacenter project.

"The idea that they could count on Nvidia for future financing is unlikely," said one venture capital partner invested in numerous AI startups. The market priced the risk immediately: CoreWeave fell 7.5% on Thursday, while Nebius Group, which also issued a lighter-than-expected sales forecast, dropped 18%. Jason Schloetzer, an associate professor at Georgetown's McDonough School of Business, expects investors and policymakers to re-examine what he calls "Jensen math" — the numbers behind the complex web of investments.

Is tighter regulation now inevitable?

Huang's downfall strengthens the hand of lawmakers pushing stricter AI rules. He had been an outspoken opponent of tight regulation, but the spy scandal, in Ed Mills's words, "destroyed his credibility on the regulatory issues."

"This guarantees new export controls," said Mills, a policy analyst at Raymond James. "It was extremely likely before the scandal and this is the accelerant to push it over the finish line." Three bills proposing new export controls on AI chips and advanced semiconductor equipment are currently attached to the defense authorization bill awaiting passage on Capitol Hill.

Washington may also weigh licensing requirements or restrictions on open-source AI models, which Huang opposed. Because the best open-source models come from Chinese AI labs, "open source equals China" in the minds of many lawmakers, Mills said. Brad Carson, president of Americans for Responsible Innovation, disagreed: such licensing remains unlikely, he argued, given congressional support for open-source AI and the technical difficulty of writing effective rules.

Data center policy faces fresh pressure too, after last week's midterm elections saw voters overwhelmingly reject local facilities. Without Huang — whom Goldberg called well-liked and non-polarizing — the industry becomes "much more vulnerable to political pressure." A widening investigative effort is already examining Nvidia's relationships with companies including Megaspeed and Super Micro.

"What's happened at Nvidia is for Nvidia to address," said Tony Ball, CEO of digital security company Entrust. "But in terms of the way AI is going to continue to add value to organizations and productivity, this was an inevitable structural challenge, and governance and policy issue that the world was going to have to wrestle to the ground."