Speaking at an AI event, Huang said Nvidia expects to sell twice as many chips next year as it does this year, pointing to continued demand for the computing infrastructure powering AI models and applications.
Investors reacted quickly. Nvidia stock rose more than 2% in premarket trading to around $218.47, adding to a recovery in semiconductor shares after a volatile start to the week.
The statement reinforces a message Nvidia has been pushing for months: despite concerns over enormous AI spending and potential industry slowdowns, demand for computing capacity remains exceptionally strong.
Nvidia Stock Rises as Huang Doubles Down on AI Demand
Huang‘s latest forecast adds another layer to Nvidia’s already aggressive growth outlook.
The company reported $96.2 billion in fiscal second-quarter revenue last month, up 106% year over year, while Data Center revenue surged 117% to $89 billion. Nvidia also guided for approximately $108 billion in third-quarter revenue.
Those numbers were already strong enough to send NVDA stock higher after earnings, but Huang is now looking further ahead.
Nvidia previously projected roughly 70% revenue growth next year. Huang‘s new statement that chip volumes could double suggests the physical expansion of Nvidia’s AI hardware footprint may be even faster than revenue growth alone indicates.
The distinction matters because selling twice as many chips does not necessarily mean Nvidias revenue will double. Product mix, pricing and the transition between Blackwell and Vera Rubin systems can all affect how shipment growth translates into sales.
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The timing of Huangs comments is especially important.
Chip stocks sold off sharply earlier this week after calls from some AI industry leaders for a slower pace of AI development triggered concerns about future infrastructure spending. Nvidia fell 3.4% during Mondays semiconductor selloff, while the broader chip sector also suffered heavy losses.
Huangs forecast pushes directly against the idea that demand is about to collapse.
Nvidia has already said it sees an enormous pipeline for its Blackwell and next-generation Vera Rubin platforms. The company also recently expanded its relationship with AWS, which plans to deploy 2 million additional Nvidia GPUs across its infrastructure in 2027 and 2028.
That scale helps explain why investors remain focused on Nvidia whenever questions emerge about the sustainability of the AI boom.
What Comes Next for Nvidia Stock？
For Nvidia stock, the central question is increasingly shifting from whether AI demand exists to whether the company can physically satisfy it.
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Memory availability, advanced chip manufacturing, packaging capacity, electricity and data-center construction can all limit how quickly Nvidia and its customers deploy new hardware.
Huang has nevertheless remained confident about the expansion. Last week, he reiterated that Nvidia could grow revenue around 70% next year, arguing that the company has unusually broad visibility into global AI infrastructure demand through cloud providers, AI labs and data-center partners.