Data Centers Are a $6 Trillion Time Bomb, Analysts Warn
“What the industry needs is a wave of innovation that will dwarf what mobile and cloud unlocked.”
By Joe Wilkins
Published Oct 1, 2026 7:53 AM EDT
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Last year, hedge fund whisperer and founder of the firm Praetorian Capital, Harris Kupperman, issued a blistering financial analysis on the data center frenzy sweeping across the United States.
Kupperman’s diagnosis was blunt: because data center components break down so quickly, the industry would need to see some $1 trillion in revenue across 2025 and 2026 just to cover the costs of their hyperscale facilities, let alone start turning a profit. With AI revenue today accounting for only a small fraction of that total, Kupperman’s argument is that the financial logic behind the data center buildout simply doesn’t hold up.
But as the last year has shown us, the magnates of the AI industry — and their funders — have a remarkable knack for kicking the can down the road, no matter how bad the numbers might look. That being the case, analysts are starting to use Kupperman’s same rationale to forecast what the next few years have in store for data center developers — and the numbers are staggering.
As Bloomberg reports, an analysis on data centers by Bain and Co, one of the largest management consulting firms in the world, found that the global AI industry would have to reach annual revenue of $6 trillion by 2031 to justify the amount of capital being injected into data centers.
The analysis assumes that commercial AI tools will account for $1.8 trillion of revenue by that point — a pretty generous presumption, which requires global AI revenue to start growing almost exponentially. Even if the AI industry reaches that point, Bain’s analysis notes, the industry will still need to come up with $4.2 trillion.
Hitting that $6 trillion mark will take nothing short of a technological miracle, the report authors explain, a leap without precedent in the information age.
“What the industry needs is a wave of innovation that will dwarf what mobile and cloud unlocked,” the report’s lead author and chairman of Bain’s Global Technology, Media, and Telecommunications, David Crawford wrote.
“AI infrastructure is being built well ahead of the demand curve and funding it sustainably will require adding approximately one percent to the annual global GDP growth rate,” Bain’s report continues. “The question is whether the applications arrive in time to pay for it.”
Given that data centers are one of the few growth-areas in the US economy — Bain notes major hyperscalers like Microsoft, Amazon, Meta, and Oracle could spend up to $780 billion across 2026 alone — the domestic AI industry can’t afford to waver, no matter how unlikely that $6 trillion threshold may seem.
At the same time, tech giants can’t keep deploying capital forever, as Kupperman observed in his 2025 essay.
“If the economics don’t work, doing it at massive scale doesn’t make the economics work any better — it just takes an industry crisis and makes it into a national economic crisis,” he wrote.
So unless the tech industry can find a way to turn AI into a trillion-dollar revenue stream fast, it seems data centers are just a ticking time bomb waiting to go off. As Jessica Wachter, a finance professor at the University of Pennsylvania’s Wharton School opined in a recent research paper, if this AI miracle “fails to materialize,” future generation will look back at the current buildout “as the largest misallocation of capital in history.”
More on data centers: Microsoft Shrivels When Asked If Its “Good Neighbor” Data Center Policy Will Involve Actually Supporting Community Groups
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Joe Wilkins
Correspondent
I’m a tech and labor correspondent for Futurism, where my beat includes the role of emerging technologies in governance, surveillance, and labor.
