Eisman Warns: AI Financing Echoes 2008 Crisis

Investor Steve Eisman, renowned for correctly predicting the 2008 financial crisis, is expressing serious concern over current financing practices within the artificial intelligence sector. He draws parallels between the use of off-balance sheet special purpose vehicles (SPVs) in AI and the structured investment vehicles (SIVs) that amplified the 2008 crisis. Eisman points out that these financial maneuvers are being employed to keep debt hidden from rating agencies, thereby avoiding negative impacts on credit ratings.

Eisman highlights that the enormous costs associated with building AI infrastructure, estimated at $700 billion by hyperscalers this year alone, are driving this behavior. Companies are increasingly resorting to debt to fund these massive projects, a trend that could lead to credit downgrades. He uses Meta's recent $27 billion data center deal, structured through an SPV called Beignet Investor LLC, as a prime example. This deal has been flagged by Ernst & Young as a critical audit matter, indicating auditor unease.

The investor cautions that such financing is designed to obscure the true extent of debt, a tactic that worked until financial conditions deteriorated in the past. The precedent of Enron and the 2008 crisis, where similar off-balance sheet accounting hid significant liabilities, serves as a stark warning. Eisman suggests that the current situation, with hyperscalers' cash flow disappearing and increasing reliance on debt, could repeat historical patterns.

While some AI financing, like Nvidia funding chip buyers, is transparent, Eisman's concern lies with SPVs used to move debt out of sight. He fears this could lead to another period where the financial system is 'too big to fail.' The 10-year Treasury yield remaining above 5% is also a critical market indicator to watch, with Eisman suggesting a market correction could be imminent if this level persists.