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Financing of AI build out raises risks in US, researcher says

The study says AI data-center spending could need $10 trillion and 183 gigawatts of new capacity, raising leverage and systemic risk.

  • Economists estimate the artificial intelligence infrastructure buildout will cost more than $10 trillion through 2032, consuming roughly 3.6% of gross domestic product annually and surpassing historic technology expansions like railroads.
  • Columbia Business School finance professor Stijn van Nieuwerburgh described the financial arrangements as "freaking complicated," noting the expansion relies on intricate structures and outside financing rather than corporate cash.
  • Van Nieuwerburgh warned that financing opacity is "somewhat reminiscent of what happened in the subprime mortgage crisis," suggesting high leverage and untested revenue streams could prime the buildout for a fall.
  • Big Tech firms are pouring nearly $200 billion into AI infrastructure every quarter, a pace that outstrips internal cash flows and necessitates complex, debt-heavy financing arrangements across the economy.
  • Building 183 gigawatts of new data-center capacity over the next seven years has fueled debates over energy strains, with Federal Reserve officials monitoring whether the construction boom is adding to inflation.
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FINANCING FOR AI BUILD-OUT RAISES RISKS

US ECONOMY

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Financing of AI build out raises risks in US, researcher says

The artificial intelligence build out is on track to require a larger share of U.S. output than the rollout of electricity, railroads, interstate highways or the internet, with an increasingly complicated financial structure that poses potentially systemic risks, according to…

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Bisnow broke the news on Wednesday, September 23, 2026.
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