Tech companies are scrambling to keep up with skyrocketing AI demand. And many are investing billions in the buildout of AI data centers, with some estimates placing the combined capital expenditures of the largest firms at up to $700 billion.
$700 billion. That’s larger than the GDP of Sweden, Israel, or Argentina. $700 billion is roughly more than the value of Disney, Nike, and Target combined. $700 billion is even more than the total inflation-adjusted cost of the U.S. Apollo program, which sent humans to the moon—twiceover.
It’s a lot, to say the least. But that sky-high expenditure is just the beginning of the AI infrastructure buildout, according to Nvidia CEO Jensen Huang. In a blog post released on Tuesday, the billionaire, himself worth a paltry $154 billion in comparison, said the infrastructure expenditures could easily reach trillions of dollars.
“We have only just begun this buildout,” Huang wrote. “We are a few hundred billion dollars into it. Trillions of dollars of infrastructure still need to be built.”
He’s not alone in his thinking. McKinsey estimates data center investment could reach a cumulative $6.7 trillion globally by 2030 to meet booming AI demand. That soaring capital expenditure forecast is one of the key forces driving the U.S. economy today. Harvard economist Jason Furman crunched the numbers last October and found that without data centers, U.S. GDP growth in the first half of 2025 would have been a paltry 0.1%. JPMorgan Chase global market strategist Stephanie Aliaga estimated AI-related capital expenditure contributed 1.1% to GDP growth, “outpacing the U.S. consumer as an engine of expansion.” And that’s not stopping anytime soon.
