Jensen Huang’s departure from Nvidia is sending shockwaves through the AI startup market, according to investors and founders who say the company’s retreat from aggressive startup funding could leave a major gap in the sector. Nvidia has been one of the most active backers in AI, and people close to the market now expect slower dealmaking, smaller checks and more pressure on valuations.
Nvidia’s funding role has been unusually large
Over the past several years, Nvidia has become far more than a chip supplier. According to PitchBook, the company poured tens of billions of dollars into startups annually and took part in 105 rounds this year alone, often as the largest investor.
That level of activity made Nvidia a key source of capital for young AI companies trying to raise the enormous sums needed for chips, infrastructure and model development. As Maria Davidson, founder of Relational Capital, told TechCrunch: “If that direction changes, it’ll be a big blow to so many young companies.”
Investors say Huang’s exit leaves the startup ecosystem without one of its strongest champions at a moment when AI companies are still burning through cash at a rapid pace.
Founders say the impact could be immediate
The reaction among startups was dramatic. One neocloud founder told TechCrunch that hearing the news felt like “a bomb went off.” That response reflects how deeply many founders have come to rely on Nvidia not only as a supplier, but also as a signal of confidence to the broader market.
Shamillah Bankiya of Dawn Capital said Nvidia has been central to funding across the AI stack. “Nvidia is carrying almost every AI-native startup from application to neocloud,” she told TechCrunch.
Umesh Padval, managing partner at Seligman Ventures, said many of the biggest investment decisions were made personally by Huang. Padval has known Huang since serving on the board of Mellanox Technologies, the networking chipmaker Nvidia acquired for about $7 billion in 2020.
Why Nvidia mattered so much to AI startups
Nvidia’s biggest bets have often gone into expensive, capital-hungry businesses such as neoclouds, inference providers and open weight model developers. Those companies are costly to build, especially for smaller firms without access to a huge balance sheet.
Zain Javaid, co-founder of the hardware company Ghost, said Huang’s investments helped create an ecosystem that might otherwise not have formed. “Jensen’s initiatives are a big reason an ecosystem has emerged despite that,” he said.
The company’s portfolio illustrates that reach. Nvidia backed CoreWeave when it was still private, participated in two of Crusoe’s rounds, including its $1.4 billion Series E, and holds investments in Mistral AI, Lambda and Black Forest Labs. It also bought into Hugging Face this year for $13 billion, with the deal expected to close in 2027.
Last year, Nvidia wrote an $800 million check into Reflection AI’s $2 billion Series B round before the open source startup had meaningful revenue, according to the Wall Street Journal. That kind of backing, investors say, often gave other firms the confidence to join rounds at similarly high valuations.
What changes under Colette Kress could mean
Nvidia’s interim CEO, Colette Kress, is expected to make changes to the company’s investment approach, particularly in AI startups tied to the massive data center build-out. Huang’s aggressive dealmaking in this area had already drawn concern on Wall Street.
One investor described Kress as “much more conservative” and said, “I don’t think she’s going to commit the same amount of money to keep the early-stage ecosystem going.”
That shift could matter quickly. Several investors told TechCrunch they expect Nvidia to become more selective about new companies and to write smaller checks into existing portfolio firms, which could reduce support at the exact moment many startups need follow-on capital.
Valuations may come under pressure
For startups building infrastructure that needed $100 million to $500 million in GPUs, Nvidia’s participation often filled a crucial gap. One VC said these companies would sometimes raise half of that amount from Nvidia at valuations of $1 billion or more simply to get off the ground.
That backing also reassured other investors. “When Nvidia was on the cap table, everyone felt safe,” Padval said. Without that signal, venture firms may become more cautious, slowing deals and pushing valuations lower.
Maria Davidson said the potential slowdown would be felt across the market, while Bankiya argued the effect could be especially severe outside the U.S. She said Huang believed in open source and “Europe,” and warned that ending that support in regions outside America “would be a massive funding and honestly ecosystem gap that no one can fill.”
Competitors may try to fill the void
Not everyone thinks Nvidia’s retreat would leave the market stranded. Some investors expect big cloud providers and other chipmakers to compete for the role Nvidia has played in startup financing.
Dharmesh Thakker, a general partner at Battery Ventures, said companies such as Google, Amazon, Microsoft and AMD may step in, especially when they want startups to adopt their chips or cloud platforms. But he doubts they will match Nvidia’s willingness to back pre-revenue infrastructure companies with very large checks.
Thakker said the winner will likely be the company that combines “a great product, an ecosystem and community to compete with CUDA, and the financial power to bankroll the ecosystem.” CUDA is Nvidia’s software platform for running AI models on its GPUs.
The broader AI boom is not over
Even with the expected funding gap, few investors think Nvidia’s shift alone will end the AI investment cycle. They do, however, believe it will alter who gets funded, how fast rounds close and how much leverage startups can command.
Amulya Vishwanath, one of Huang’s former employees who now runs her own VC fund, said founders and leaders “must be held accountable,” and added that the ecosystem is larger than any one individual. “That talent will, and must, continue to thrive,” she said.
For now, the question is not whether AI fundraising will continue, but whether it can do so without one of its most important and most generous backers.
Source: Original report
Was this helpful?
Explore more: More Business & Startups Tech News Blog
Last Modified: November 14, 2026 at 10:31 pm
0 views
