Nvidia shares rise after CEO Huang says AI computing demand is up 'substantially'

Nvidia CEO Jensen Huang reported a substantial increase in demand for AI computing, driven by advanced AI models, characterizing it as the "beginning of a new industrial revolution" and noting unprecedented demand for Nvidia's Blackwell GPUs. This exponential growth is underscored by Nvidia's $100 billion investment in OpenAI's 10-gigawatt data center, highlighting critical power consumption challenges equivalent to 8 million U.S. households. Huang advocates for data centers to adopt self-generated power solutions, such as natural gas and nuclear, to meet demand rapidly, while also noting China's significant lead in AI energy infrastructure compared to the U.S.

Analysis

Nvidia CEO Jensen Huang said Wednesday that 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,” Huang said 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 rose about 2% on Wednesday, helping to boost the Nasdaq Composite higher. AI reasoning models are using exponential amounts of computing power but they are also seeing exponential amounts of demand because their results are so good, Huang said. “The AIs are smart enough that everybody wants to use it,” the CEO said. “We now have two exponentials happening at the same time.” “Demand for Blackwell is really, really high,” he said of Nvidia’s most advanced graphics processing unit. “I think we’re at the beginning of a new buildout, beginning of a new industrial revolution.” Nvidia announced last month it will invest $100 billion in OpenAI’s massive data center buildout. OpenAI is planning to build 10 gigawatts of data centers using Nvidia chips. The scale of the AI industry’s plans have raised doubts about whether the leading companies can secure the power needed to fuel their ambitions. Ten gigawatts is equivalent to the annual power consumption of 8 million U.S. households, or New York City’s peak baseline summer demand in 2024. When asked who is winning the AI race, Huang said the U.S. is “not far ahead” of China right now. Beijing is building out the power needed to support AI much faster than the U.S., the CEO said. “China is way ahead on energy,” Huang said. The artificial intelligence industry will need to build new power generation off the electric grid in order to move quickly to meet demand and insulate consumers from rising electricity prices, he said. Data centers should be outfitted with natural gas and then potentially nuclear power at some point in the future, the CEO said. “We should invest in just about every possible way of generating energy,” Huang said. “Data center self-generated power could move a lot faster than putting it on the grid and we have to do that,” he said. Nvidia CEO Jensen Huang reported a "huge" surge in AI computing demand, particularly over the last six months, driven by advanced AI models requiring exponential processing power. He characterized this as the "beginning of a new industrial revolution" with "really, really high" demand for Nvidia’s Blackwell GPUs, indicating robust future revenue streams for the company. Nvidia shares responded positively, rising approximately 2% on Wednesday and contributing to Nasdaq's uplift. Nvidia's $100 billion investment in OpenAI's 10-gigawatt data center expansion underscores the massive scale of AI infrastructure buildout. This initiative highlights a critical challenge: securing sufficient power, as 10 gigawatts equals the annual consumption of 8 million US households. The industry faces doubts regarding its ability to secure this energy, indicating potential bottlenecks beyond chip supply. Huang noted the US is "not far ahead" of China in the AI race, explicitly stating China's significant lead in AI energy infrastructure. To mitigate power constraints and rising electricity prices, he advocates for data centers to adopt self-generated power solutions, such as natural gas and eventually nuclear, to enable faster deployment off the traditional grid. This suggests a growing intersection of AI development with energy generation and geopolitical considerations.

Key Decisions for Investors

• Investors should closely monitor Nvidia's order book and production capacity for Blackwell GPUs, given the reported "really, really high" demand, as this will significantly impact future earnings.
• Evaluate companies positioned to benefit from the massive energy infrastructure buildout required for AI data centers, particularly those involved in decentralized power generation (e.g., natural gas, nuclear solutions) or energy efficiency technologies.
• Assess geopolitical factors, especially the US-China dynamic in AI energy infrastructure, as national strategies for power generation and AI development could impact investment flows and market leadership.