TechnologyThe financing risks behind a projected $10.3 trillion AI buildout
Brookings describes research warning that AI financing is moving off corporate balance sheets into less transparent structures, potentially making shared risks harder to spot before a downturn.
TLDR
Brookings says a paper by Columbia University’s Stijn Van Nieuwerburgh projects $10.3 trillion in AI infrastructure investment from 2025 to 2032—an average of 3.63% of U.S. GDP per year. That covers data center buildings, power systems, networking, chips and other equipment. The paper warns that financing through joint ventures, private credit and other off-balance-sheet structures may obscure overlapping risks tied to uncertain AI demand, rapid technological change and access to power and hardware. It cautions that it is premature to conclude AI infrastructure already poses systemic risk comparable to earlier credit booms, and suggests better measurement and transparency as a policy priority.
The financing risks behind a projected $10.3 trillion AI buildout
Brookings describes research warning that AI financing is moving off corporate balance sheets into less transparent structures, potentially making shared risks harder to spot before a downturn.
TLDR
Brookings says a paper by Columbia University’s Stijn Van Nieuwerburgh projects $10.3 trillion in AI infrastructure investment from 2025 to 2032—an average of 3.63% of U.S. GDP per year. That covers data center buildings, power systems, networking, chips and other equipment. The paper warns that financing through joint ventures, private credit and other off-balance-sheet structures may obscure overlapping risks tied to uncertain AI demand, rapid technological change and access to power and hardware. It cautions that it is premature to conclude AI infrastructure already poses systemic risk comparable to earlier credit booms, and suggests better measurement and transparency as a policy priority.
