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What consequences Nvidia's crash has for the AI industry
With the departure of Nvidia founder Huang, the company is losing its visionary mastermind. What does this mean for the company itself and the competition? By R. Spiegelhauer.
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Huang affair What consequences Nvidia's crash has for the AI industry As of: November 13, 2026 • 9:26 a.m
With the departure of Nvidia founder Huang, the company is losing its visionary mastermind. What does this mean for the company itself and the competition?
"Huang's departure should have had a bigger impact on the stock market, but apparently many people had expected it," said financial market analyst Kevin Kelly at Yahoo Finance. And over the course of the day, the share price even went up again - the losses have almost been offset.
"Nvidia's lead lies primarily in its AI programming ecosystem. Chips are becoming interchangeable to a certain extent. Investors are now wondering whether Nvidia's business model will remain and who can lead the company in the future with as much foresight as Huang."
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Jensen Huang wasn't just CEO, he founded Nvidia 33 years ago. He has the expertise when it comes to hardware and has always had a good nose for new directions. First gaming, then cryptocurrency, now artificial intelligence and finally he liked to talk about data centers in space without residents' protests. "At the same time, there has been criticism of circular financing and Nvidia's investments. The question is: Will this continue, and what will become of all the partnerships and financial commitments?"
For now, Nvidia has obviously managed to reassure investors to some extent. Colette Kress, a close colleague of Huang's for many years, is taking over the CEO position on an interim basis.
For CNBC floor reporter Jim Cramer, a good choice - with reservations: "Of course there are questions about what she knew about Kimberly Powell and Alice Huang, about all of this. But she can run the company and explain how it is doing financially, because that will also become an issue. I trust her."
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So far, Nvidia is considered one of the biggest, if not the biggest, winners of the AI boom. But Nvidia is partly fueling the demand itself, and it goes something like this: Nvidia invests in an AI cloud provider that uses the money to buy Nvidia chips. Nvidia, in turn, buys computing power for its own services. This makes the cloud provider more creditworthy for banks and other investors and raises money for even more data centers, for which Nvidia then supplies chips again.
This self-reinforcing system has already reached its limits, says Bloomberg financial expert Romaine Bostick. "The share price has risen explosively, meaning that many institutional investors have reached their upper limit on how large a single share can make up the overall portfolio. So they had to reduce their holdings." The shares of a single company must not completely dominate a fund.
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If Nvidia no longer invests as usual in the future, then there could be completely different domino effects. Start-ups could lose funding, data centers could become even more expensive and the valuation of AI companies could be revised downwards. Anthropic's IPO next week, for example, will bring in significantly less money than hoped for a month ago.
However, some observers also see an opportunity for competitors such as AMD or Qualcomm, who could fill any gaps with their chips. Their prices have actually increased somewhat, but so far there are no signs that Nvidia could reduce production with Jensen Huang's departure.
There's only one way to avoid risks anyway, says Bloomberg financial market expert John Orthos: "If you forego possible massive profits until the bubble really bursts."
This topic in the program: tagesschau24 | News | 11/13/2026 | 9:00 a.m