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Nvidia's Huang says AI computing demand is up 'substantially' in the last 6 months
Jensen Huang, CEO of Nvidia, speaking on CNBC's Squawk Box on Oct. 8th, 2025. Nvidia CEO Jensen Huang said demand is up huge this year as artificial intelligence models develop further from answering simple questions to complex reasoning. "This year, particularly the last six months, demand of computing has gone up substantially," said Huang on CNBC's "Squawk Box." The CEO of the AI chip leader was answering a question about what investors ask him most about. Nvidia shares were higher in premarket trading as Huang gave his bullish comments.
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Nvidia CEO Jensen Huang says AI computing demand surged in past six months
This follows infrastructure investments increasing across the AI sector. But industry analysts are worried that billion-dollar circular deals happening in the AI space could result in a bubble. Nvidia CEO Jensen Huang said on Wednesday that artificial intelligence (AI) computing demand has surged "substantially" over the past six months, as models move from just answering questions to reasoning. Speaking to CNBC, Huang said AI models are evolving and consuming vast amounts of computing power. "The AIs are intelligent enough that everyone wants to utilise them," he said, describing "two exponentials happening at the same time," i.e., AI systems requiring more compute power and demand skyrocketing because of their impressive capabilities. "I think we're at the beginning of a new build-out, the beginning of a new industrial revolution, and it's going to be exciting times," he said. The surge in demand centres around Nvidia's latest Blackwell architecture. Huang said the "demand for Blackwell is incredibly high." The advanced chips, featuring 208 billion transistors and new AI acceleration technologies, have become the backbone of data centres powering everything from OpenAI's ChatGPT to smaller models. The computing demand surge comes as infrastructure investments are increasing across the AI sector. Nvidia announced plans to invest up to $100 billion in OpenAI in September to deploy 10 gigawatts of AI systems. "This is an enormous undertaking," Huang said of the OpenAI deal, which represents between four and five million GPUs and marks "the biggest AI infrastructure project in history." The first phase will launch in 2026 using Nvidia's next-generation Vera Rubin platform. Earlier this month, Advanced Micro Devices (AMD) announced a landmark multi-billion-dollar agreement with OpenAI and turned up the heat on Nvidia, which currently dominates the chip space. The partnership sent AMD shares rallying over 25% in early trading. Also Read || ETtech Explainer: OpenAI deals with AMD, Nvidia spark bubble concerns Industry analysts project global AI infrastructure spending could reach $2 trillion by 2026. Several billion-dollar circular deals in the AI space have them worried about a bubble. Most of these deals are centred around Nvidia and OpenAI, raising concerns that an increasingly complex and interconnected web of business transactions is artificially propping up the trillion-dollar AI boom. Also Read: Doomsday or new dawn: what will Nvidia, OpenAI's circular dealmaking bring
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Jensen Huang welcomes an explosion in demand for artificial intelligence computing
Nvidia CEO Jensen Huang said on Wednesday that global demand for computing power for artificial intelligence has accelerated dramatically over the past six months. Speaking on CNBC, he explained that the rise of AI models capable of moving from simple text exchange to more advanced forms of reasoning is fueling exponential growth in infrastructure needs. These statements boosted Nvidia's stock price in pre-market trading on Wall Street. According to Huang, the new models consume unprecedented computing power, but market interest is growing at the same rate. "AI has become smart enough that everyone wants to use it," he summarized, referring to "two exponentials crossing." He highlighted the strong demand for the latest Blackwell architecture, the core of the new generation of processors designed for artificial intelligence applications. The executive presented this phase of expansion as the beginning of a "new industrial revolution," marked by the construction of massive AI-dedicated infrastructure. Nvidia recently invested $100bn in OpenAI's mega data center project, designed to deploy up to 10 gigawatts of computing power based on its chips. This initiative confirms the group's central position in the global artificial intelligence ecosystem.
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Nvidia CEO Jensen Huang announces a substantial increase in AI computing demand over the past six months, driven by advancements in AI models. This surge is fueling massive infrastructure investments and raising concerns about potential market bubbles.
Jensen Huang, CEO of Nvidia, has reported a significant surge in demand for AI computing power over the past six months. Speaking on CNBC's "Squawk Box" on October 8, 2025, Huang emphasized that this increase is driven by the evolution of AI models from simple question-answering to more complex reasoning capabilities
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."This year, particularly the last six months, demand of computing has gone up substantially," Huang stated, highlighting the rapid growth in the AI sector
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. He described the current situation as "two exponentials happening at the same time," referring to the increasing computational requirements of AI systems and the skyrocketing demand due to their impressive capabilities2
.The surge in demand is particularly centered around Nvidia's latest Blackwell architecture. Huang reported that the "demand for Blackwell is incredibly high" [2](https://economictimes.indiatimes.com/tech/artificial-intelligence/nvidia-ceo-jensen-huang-says-ai-computing-demand-surged-in-past-six-months/articleshow/124391244.cms]. These advanced chips, featuring 208 billion transistors and new AI acceleration technologies, have become the backbone of data centers powering various AI models, from OpenAI's ChatGPT to smaller systems.
In response to this growing demand, Nvidia announced plans to invest up to $100 billion in OpenAI to deploy 10 gigawatts of AI systems. Huang described this as "the biggest AI infrastructure project in history," with the first phase set to launch in 2026 using Nvidia's next-generation Vera Rubin platform
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.The announcement of increased demand has positively impacted Nvidia's stock price, with shares rising in premarket trading following Huang's comments
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.However, this surge in demand and the resulting infrastructure investments have also raised concerns among industry analysts.
There are worries that the billion-dollar circular deals happening in the AI space could result in a bubble. Most of these deals are centered around Nvidia and OpenAI, creating an increasingly complex and interconnected web of business transactions that some fear may be artificially propping up the trillion-dollar AI boom
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Despite these concerns, Huang remains optimistic about the future of AI and its impact on the industry. "I think we're at the beginning of a new build-out, the beginning of a new industrial revolution, and it's going to be exciting times," he stated
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.As AI continues to evolve and demand for computing power grows, the industry is poised for significant changes and challenges. The coming years will likely see continued investment in AI infrastructure and ongoing debates about the sustainability and implications of this rapid growth in the AI sector.
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