Nvidia Corp (NASDAQ:NVDA, XETRA:NVD) chief executive Jensen Huang has called for continued, large-scale investment in artificial intelligence (AI), arguing at Davos that what some see as a speculative bubble is in fact “the largest infrastructure buildout in human history”.
Speaking at the World Economic Forum, Huang dismissed fears of overheating in the AI sector and instead stressed the physical and economic scale of what lies ahead.
“We’re going to need trillions more,” he said, referring to the capital required not just for semiconductors but for the full stack of infrastructure underpinning AI: from servers and data centres to plumbing, electrical systems and specialist software.
“We need buildings, we need electricity, we need cooling, we need software, we need everything,” he said. The scale of the investment is such that Huang described it as a “five-layer cake”, with capital and labour demands at each level.
The Nvidia boss insisted that this AI-driven transformation will be a net positive for employment, both in white-collar roles and traditional trades.
He pointed out that while AI will reshape many jobs, it will also create new ones. “We need electricians, construction workers, steelworkers, network technicians,” he said, to support the growth of data centres and digital infrastructure.
He likened AI’s labour market impact to that of the internet: disruptive, but ultimately generative. “Radiologists now use AI to detect conditions more accurately,” he said, framing the technology as augmentative rather than purely substitutive.
But not everyone was as upbeat. Larry Fink, the CEO of asset manager BlackRock, acknowledged AI’s benefits but warned that “substitutions and layoffs” were already occurring across sectors.
He questioned whether sufficient investment was actually flowing into the sector, suggesting that the constraint now is not demand, but capacity; namely, the ability to build fast enough.
Analysts noted that AI may not directly replace workers, but those who learn how to use AI tools effectively could end up displacing those who don’t, marking a shift in job dynamics rather than just job numbers.
Still, Huang's core message to executives and policymakers was clear: the AI economy is not just about software and algorithms, but about hard hats, tools, and trades. “This is not just a tech boom,” he said. “This is a labour boom.”
As governments and industry weigh the future of AI, Huang’s remarks served as both a rallying cry for investment and a reminder that the winners in the next wave of innovation may not be just coders and venture capitalists—but welders, builders, and electricians too.