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Jensen Huang Resigns, Leaving Nvidia's $19 Billion Open Source Bet Adrift

Jensen Huang resigned Thursday over an affair with an alleged Chinese spy, leaving Nvidia's $13B Hugging Face deal and its open source AI advocacy without their chief champion.

By Olivia Hart

3 min read

Jensen Huang’s exit puts Nvidia’s support for open source in question
Jensen Huang’s exit puts Nvidia’s support for open source in questionRemazteredStudio / pixabay

What's News

  • Jensen Huang resigned as Nvidia CEO on Thursday after admitting an affair with an alleged Chinese spy.
  • Nvidia's $13 billion acquisition of Hugging Face is not yet finalized; CFO Colette Kress is interim CEO.
  • Nvidia agreed to pay $6 billion for a non-exclusive license to Poolside's open AI coding technology.
  • Huang authored an open letter signed by 25 companies, including Microsoft, Meta, IBM and Palantir, urging against over-restricting open-weight AI models.
  • Huang backed open model startups including Reflection AI and Thinking Machines Lab and Nvidia's Nemotron model family.

Jensen Huang resigned as Nvidia's CEO on Thursday after admitting to an affair with an alleged Chinese spy, throwing the company's role as the open source AI community's most powerful corporate champion into doubt. The departure hits at a moment when Nvidia has roughly $19 billion tied up in open-ecosystem commitments that now lack their chief sponsor.

What is immediately at stake?

Two deals remain unfinished. Nvidia has not yet finalized its $13 billion acquisition of Hugging Face, the open source platform. It has also agreed to pay $6 billion for a non-exclusive license to technology from Poolside, an open AI coding startup. Neither agreement has closed.

Hugging Face CEO Clem Delangue addressed the uncertainty directly. In a post on X, he said the company "would continue to fight for open source, whatever happens next." The pledge covers Hugging Face's own posture; it does not answer whether Nvidia still wants the deal.

Nvidia has named CFO Colette Kress as interim CEO. The company has said nothing public about how she will handle the Hugging Face acquisition or broader support for open models. That silence is the story: founder-driven priorities, as a rule, lose altitude when leadership changes hands.

Why Huang's advocacy mattered beyond Nvidia

Huang pushed open source on several fronts at once. Inside Nvidia, he backed the Nemotron family of open-weight AI models, built for long-running agentic AI systems and reasoning workloads and positioned as potential competitors to closed frontier models. Through Nvidia's investment arm, he backed startups including Reflection AI and Thinking Machines Lab, both working to make American open models more competitive.

His influence reached Washington as well. Earlier this year, Huang wrote an open letter — signed by 25 companies including Microsoft, Meta, IBM and Palantir — urging the U.S. government not to over-restrict open-weight AI models, many of which come from China.

That letter responded to a specific fight: Washington's debate over how to answer allegations that Chinese AI labs are stealing intellectual property from American companies such as Anthropic and OpenAI. Both labs have reportedly appealed directly to the U.S. government for stronger protections.

Huang's personal visibility plus Nvidia's market power made him the strongest counterweight to Anthropic's and OpenAI's arguments for restricting advanced AI models on safety grounds. No obvious successor to that role exists.

How the scandal reshapes the policy fight

The affair, involving Alice Huang, a Megaspeed executive and the alleged spy, puts renewed scrutiny on Huang's efforts to loosen chip export controls on China. Critics in Washington who want tougher restrictions on Chinese AI companies now argue from a stronger position. The concern among open source community members, according to the source reporting, is that whoever leads Nvidia next will be more cautious than Huang was.

There is a competitive dimension too. Restrictions on open-weight models from China could kneecap competition for American companies — the most powerful of which, notably, keep their own models closed.

Was this idealism or strategy?

Huang framed the open ecosystem as good for safety, innovation, diffusion and sovereignty. But supporting open source was never a passion project detached from the balance sheet. As frontier AI labs increasingly build their own chips to reduce their reliance on Nvidia, open source gives the company a way to diversify: selling GPUs to nation-states, enterprises and any organization that wants to own its own models.

More players training, fine-tuning and running models means more GPUs sold, and less dependence on a handful of frontier labs. The logic holds regardless of who occupies the corner office.

Huang may be gone, but Nvidia still needs an open AI ecosystem. The open question is whether that commitment survives without the man who made it a priority — and TechCrunch reports Nvidia has been reached for comment but has not yet answered.

Original: finance.yahoo.com

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Olivia Hart

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Staff writer covering people, launches and day-to-day practice in entrepreneurship, startups and venture funding at Business Bearings.

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