Jensen Huang resigned as chief executive officer (CEO) of Nvidia on 12 November 2026, effective immediately, after 33 years at the company he cofounded. Chief financial officer (CFO) Colette Kress is interim CEO while the board searches for a permanent successor. Nvidia shares closed down 4.34% on the day. Advanced Micro Devices (AMD) and Broadcom each rose more than 5%. Nvidia reports quarterly earnings on Tuesday 17 November.
Key takeaways
Nvidia gave no reason for the exit. Reports link it to Huang's personal relationships and a possible national security concern. China has rejected the allegation of a spying operation.
Kress, who has been CFO since 2013, keeps that role while she leads the company. Harvey Jones, a former Synopsys CEO and Nvidia board member, becomes the first board chair.
Money moved within the AI trade rather than out of it. Nvidia and some of its customers fell, while AMD, Broadcom and Chinese graphics processing unit (GPU) makers rose.
Analysts disagree on how long the effect lasts. Some point to leadership risk and faster custom chip programmes at Google and Amazon. Others say AI demand does not depend on one person.
Three checkpoints follow: Nvidia earnings on 17 November, the CEO search, and a possible appearance by Huang before the US Congress.
What happened at Nvidia on 12 November
Nvidia announced the change in a current report filed with the US Securities and Exchange Commission (SEC). Huang resigned as president, CEO and board member with immediate effect. The filing names Kress interim CEO and confirms that Nvidia will report third quarter fiscal 2027 results on 17 November.
The filing does not state a reason. A person familiar with the matter said the board decided on Wednesday night to remove Huang. Reports say Huang acknowledged on Sunday that he had been unfaithful to his wife and apologised to his family and to Nvidia employees. The scrutiny began with claims that he had an affair with a woman whom US officials believe passed information to the Chinese government. China has described those claims as a smear campaign.
These are reported allegations. House Foreign Affairs Committee chair Brian Mast said Huang is willing to testify before Congress as soon as next week.
Who leads Nvidia now
Kress joined Nvidia in September 2013 after nearly 25 years in finance roles at technology companies including Cisco and Microsoft. She keeps her CFO duties during the interim period. On earnings calls her remarks usually tie Nvidia's products to wider shifts, such as AI agents, models that process video, audio and images, and power limits at data centres.
Huang never named a successor. Analysts see engineer Ian Buck and Kress as the likely internal candidates, though neither has Huang's public profile. Analyst Mandeep Singh said no successor would easily replicate Huang's deal making or his ties to Taiwan Semiconductor Manufacturing Company (TSMC) and the wider supply chain.
How Nvidia stock and related shares moved
Company | Reported move | Reported reason |
Nvidia | Down 4.34% at the close on 12 November | Leadership change days before earnings |
AMD | Up 5.86% | Seen as the closest alternative supplier of AI systems. AMD says demand already exceeds its supply |
Broadcom | Up 5.54% | Supplies custom chips to large cloud customers |
Alphabet | Up nearly 2% | Large buyer of Nvidia chips that also designs its own |
CoreWeave | Fell | Nvidia customer. Investors questioned Nvidia's willingness to fund the AI build out |
IonQ, SoundHound, Oklo | Fell | Investors cut some of the riskiest AI exposure |
Moore Threads, MetaX, Cambricon | Rose nearly 10% each | Expectation that Chinese suppliers could gain market share |
What it means for the AI investment stack
The AI investment stack is the chain of companies that make AI products work. Luno's breakdown of where the value sits across seven layers of the stack runs from energy and power at the base to applications at the top. The first reaction to Huang's exit hit those layers differently, and for readers following AI investing, the table below maps reported moves to each layer.
Layer | Companies named in reporting | Reported reaction | Open question |
Layer 1: Energy and power | Oklo | Fell | Whether investors keep funding power for AI data centres |
Layer 2: Compute and semiconductors | Nvidia, AMD, Broadcom, TSMC, SK Hynix | Nvidia fell 4.34%. AMD rose 5.86% and Broadcom rose 5.54%. TSMC rose over the week, and SK Hynix fell as the board met | Whether AMD can supply customers that add a second source |
Layer 3: Physical infrastructure | None named in the sources reviewed | No reaction reported | Whether data centre projects stay on schedule |
Layer 4: Cloud and hyperscalers | Alphabet, CoreWeave, Naver | Alphabet rose nearly 2%. CoreWeave and Naver fell | How fast cloud providers ramp their own chips, and whether Nvidia keeps supporting customers |
Layer 5: Foundation models and AI labs | OpenAI, Anthropic | Privately held, so no share price reaction. A portfolio manager said the labs are hiring chip experts to design their own chips | Whether labs reduce their reliance on Nvidia chips |
Layer 6: Data and tooling | None named in the sources reviewed | No reaction reported | Whether spending on data platforms holds as AI projects scale |
Layer 7: Applications and software | SoundHound | Fell | Risk appetite for earlier stage AI businesses |
Investors fear a new leader could reduce Nvidia's willingness to fund the AI boom, including through support for its customers. That concern helps explain why data centre operators fell alongside Nvidia. SemiAnalysis chief executive Dylan Patel said Nvidia's lead could come under pressure as Google and Amazon expand their own AI chip production. IonQ also fell, though quantum computing sits outside the seven layers.
Layer 4 matters most for the Nvidia story because the cloud providers are its largest buyers. Microsoft, Amazon, Google and Meta plan combined capital expenditure of roughly $700 billion in 2026, up about 77% from 2025, because none of them wants to run short of computing power while rivals keep building. That race is why big tech is pouring billions into data centres, and a handful of these customers account for more than half of Nvidia's data centre revenue. That concentration is why a change at the top of Nvidia reaches the cloud layer, and why analysts watch whether those buyers speed up their own chips.
The stack framework also shows where the capital committed so far is starting to earn revenue. In the second quarter of 2026, Google Cloud revenue grew 82%, Amazon Web Services grew 37% and Microsoft Azure and other cloud services grew 39%, according to the company reports cited by Luno. These figures bear on whether demand rests on one executive. The same framework notes that several large companies, including Nvidia, appear in three or more layers at once, so exposure to one name can span more than one part of the stack.
How the exit fits the AI bubble debate
The exit arrives after a wider AI sell off. On 22 October 2026 the Nasdaq Composite fell 2.6%, its steepest one day fall since 5 June, and many investors asked whether the AI bubble is bursting. The declines hit the layers that build and power AI, on concern about spending, power supply and financing costs. Analysts now split: one Taiwan based analyst called the impact temporary, while others called the exit a worst case outcome for Nvidia. One sell off does not settle the question, and revenue growth against capital spending is the indicator worth tracking.
Diversify beyond Nvidia with Luno BlueChip+
Huang's exit is one chapter in a longer story that is still being written, with cloud revenue growing and South African operators such as Teraco adding data centre capacity for AI work. No single company owns all of it, so investors spread money across different assets so that no single one decides the result, an idea called diversification that can soften one loss without removing risk.
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Frequently asked questions
What does Nvidia do
Nvidia (NASDAQ: NVDA) designs graphics processing units (GPUs), the chips that train and run most AI models, along with the software and networking that go with them. Its largest customers are the cloud providers building AI data centres.
What is the AI investment stack
The AI investment stack is the chain of companies that make AI products work. It runs across seven layers: energy and power, compute and semiconductors, physical infrastructure, cloud and hyperscalers, foundation models and AI labs, data and tooling, and applications and software. Each layer has a different risk profile and a different way for capital to enter.
What is BlueChip+
BlueChip+ is a Luno bundle that holds Bitcoin (BTC) and Ethereum (ETH) alongside tokenised stocks of large US technology companies in one investment. The target split is 30% digital assets and 70% tokenised stocks, rebalanced every quarter. A 1% transaction fee and a 2% annual tracking fee apply, and investing in crypto assets may result in the loss of capital.
