AI Investment Surge Raises Alarm Over Potential Financial System Shock

The swift expansion of AI-related financing is being likened to the conditions that preceded the 2007-09 financial crisis, with scholars highlighting simultaneous spikes in borrowing and asset prices as a strong crisis indicator. Samuel Hanson of Harvard Business School warned that the AI sector’s “orange lights” signal heightened risk, a view echoed by an IMF stability report that flagged rising leverage and warned of global fallout from an AI correction.

Shares of AI data-centre operator CoreWeave dropped 25 % after the IMF’s warning, underscoring market sensitivity. Projections from Columbia’s Stijn Van Nieuwerburgh suggest US spending on AI infrastructure could reach US$10.3 trillion by 2032, dwarfing historic investment surges in canals, railroads and electrification. Yet Gartner estimates revenue from AI data centres will fall far short of the spending needed, putting pressure on borrowers and potentially inflating interest rates. Risk managers like Richard Bookstaber and investors such as Paul Kedrosky argue that the opaque financing and high debt levels could make the system brittle, raising the specter of a broader market disturbance.