Jensen Huang downplays AI bubble concerns, citing ‘the largest infrastructure buildout in human history’.
Nvidia CEO Jensen Huang countered rising doubts about the sustainability of artificial intelligence spending, asserting from Davos, Switzerland, that substantial capital expenditures signify “the largest infrastructure buildout in human history” rather than a financial bubble.
During a discussion with the interim co-chair of the World Economic Forum, Huang outlined an industrial transformation extending beyond software, which is reshaping global labor markets and creating unprecedented demand for skilled tradespeople. While public discourse often focuses on AI’s potential to displace white-collar jobs, Huang highlighted an immediate surge in blue-collar employment essential for physically constructing the new computing economy.
“It’s wonderful that the jobs are related to tradecraft, and we’re going to have plumbers and electricians and construction and steel workers,” Huang stated. He observed that the urgent need to erect “AI factories,” chip plants, and data centers has dramatically altered the wage landscape for manual labor. “Salaries have gone up, nearly doubled, and so we’re talking about six-figure salaries for people who are building chip factories or computer factories,” Huang said, stressing that the industry currently faces a “great shortage” of these workers.
Ford CEO Jim Farley has also been vocal about the labor shortage in what he terms the “essential economy,” precisely the types of jobs Huang mentioned in Davos. Earlier this month, Farley stated that these 95 million jobs are the “backbone of our country,” and he was partnering with local retailer Carhartt to boost workforce development, community building, and “the tools required by the men and women who keep the American Dream alive.”
“It’s time we all reinvest in the people who make our world work with their hands,” Farley urged.
In October, at Ford’s Pro Accelerate conference, a student was contemplating whether to pursue college or a career in the trades. The Ford CEO has estimated a shortage of 600,000 workers in factories and nearly the same in construction.
Huang Rejects Bubble Concerns
Fink introduced the topic of a bubble for a valid reason: fears of a market collapse had gripped markets through much of the latter half of 2025, with prominent figures such as Amazon founder Jeff Bezos, Goldman Sachs CEO David Solomon, and, just the day before in Davos, Microsoft CEO Satya Nadella, issuing warnings about potential difficulties. Much of this concern originated from market volatility in August, but also the challenge for companies to generate a return on investment. “Permabears” such as Albert Edwards, global strategist at Société Générale, have consistently suggested a bubble is brewing—though they often hold this view.
Huang, whose company became the emblem of the AI revolution when it surpassed a trillion dollars in market capitalization (a milestone recently achieved by TSMC on the Taiwan Stock Exchange), addressed these fears in conversation with Fink, arguing that the term “bubble” misdiagnoses the current situation. Critics frequently cite the enormous sums being spent by hyperscalers and corporations as unsustainable, but Huang countered that the appearance of a bubble arises because “the investments are large … and the investments are large because we have to build the infrastructure necessary for all of the layers of AI above it.”
Huang further elaborated on his food metaphor, describing the AI industry as a “five-layer cake” necessitating complete industrial reinvention, with Nvidia’s chips forming a particularly crucial part of the recipe. The foundational layer is energy, followed by chips, cloud infrastructure, and models, with applications positioned at the top. The current wave of spending is concentrated on these foundational layers—energy and chips—which creates tangible assets rather than speculative value. Far from a bubble, he depicted a new industry being constructed from the ground up.
“There are trillions of dollars of infrastructure that needs to be built out,” Huang stated, noting that the world has currently invested only “a few 100 billion dollars into it.”
To demonstrate that the market is driven by genuine demand rather than speculation, Huang proposed a practical “test” for the bubble theory: the rental price of computing power, as reflected in the cost of Nvidia’s GPU chips.
“If you try to rent an Nvidia GPU these days, it’s so incredibly hard, and the spot price of GPU rentals is going up, not just the latest generation, but two-generation-old GPUs,” he explained. This scarcity indicates that established companies are reallocating their research and development budgets—such as a pharmaceutical giant shifting funds from wet labs to AI supercomputing—rather than merely expending venture capital.
Beyond construction and infrastructure, Huang addressed the broader anxiety concerning AI’s impact on human employment. He argued that AI ultimately changes the “task” of a job rather than eliminating its “purpose.” Citing radiology as an example, he noted that despite AI’s integration into every aspect of the field over the last decade, the number of radiologists has actually increased. Because AI handles the task of studying scans infinitely faster, doctors can focus on their core purpose: patient diagnosis and care, leading to higher hospital throughput and increased hiring.
Fink rephrased the issue, based on Huang’s counterarguments. “So what I’m hearing is, we’re far from an AI bubble. The question is, are we investing enough?” Fink asked, suggesting that current spending levels might actually be insufficient to broaden the global economy.
Huang appeared to imply: not really. “I think the opportunity is really quite extraordinary, and everybody ought to get involved. Everybody ought to get engaged. We need more energy,” he said, adding that the industry requires more land, power, trade, scale, and workers. Huang noted that while the U.S. has seen a decline in its workforce population in many ways over the last 20-30 years, “it’s still incredibly strong,” and in Europe, gesturing around him in Switzerland, he observed “an extraordinary opportunity to take advantage of.” He highlighted 2025 as the largest investment year in venture capital history, with $100 billion invested globally, primarily in AI-native companies.
Huang concluded by emphasizing the global nature of this infrastructure buildout, urging developing nations and Europe to engage in “sovereign AI” by establishing their own domestic infrastructure. For Europe specifically, he highlighted a “once-in-a-generation opportunity” to leverage its strong industrial base to lead in “physical AI” and robotics, effectively merging new digital intelligence with traditional manufacturing. Far from a bubble, he seemed to be saying, this is merely the beginning.