Hyperscaler AI Debt Strains Draw Comparisons to 2008 Housing Crisis

Apollo Global Management issued a caution on Wednesday, noting that credit default swaps tied to hyperscaler debt are now reflecting greater risk. Chief economist Torsten Slok attributed the shift to deteriorating credit conditions, not typical hedging activity by bond dealers.

Hyperscalers—the cloud computing heavyweights such as Amazon, Microsoft, Google, and Meta—build and run the digital infrastructure powering the AI surge. The gap between their credit default swap (CDS) spreads and bank debt has widened to roughly 60 basis points since October 2025.

Debt-Financed AI Buildout Draws 2008 Comparisons

In a Wednesday note reported by CNBC, Slok laid out his reasoning.

“What the market is repricing is hyperscaler credit fundamentals, namely a debt-financed AI capex cycle with rising leverage, negative free cash flow and uncertain payback on depreciating assets.”

Dan Alpert, founding managing partner at Westwood Capital, drew a parallel between today's conditions and the lead-up to the 2008 mortgage meltdown. He noted that banks have since built far larger equity cushions and hold more diversified portfolios than they did back then.

The situation calls to mind “The Big Short,” the movie about investors who identified mispriced mortgage bonds well before the crash hit.

Slok's note comes on the heels of a weekend appeal from leading AI labs urging a slower pace of model development due to safety worries. That shift could dampen the demand for computing power that hyperscalers are currently financing with borrowed money.

We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.

Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our…

— Dario Amodei (@DarioAmodei) September 12, 2026

A Creaking Market

Separately, analysts have pointed to similar red flags in the private credit market, where strain is also prompting 2008 comparisons.

The current pattern mirrors how AI-fueled debt pushed yields to multi-year highs earlier this year.

Not all observers think the risk has fully materialized. Paul Meeks, head of technology research at Freedom Capital Markets, noted that hyperscaler margins are already improving as capacity expansion slows.

Dean Baker, founder of the Center for Economic and Policy Research, said CDS investors are wagering against the AI companies, questioning whether they can generate returns sufficient to cover their debt obligations.

Alphabet and Meta each show negative forward free cash flow of roughly $25 billion, while Amazon's stands near $30 billion. Microsoft, by contrast, remains cash flow positive, according to FactSet data cited in Slok's note.

Whether the widening CDS spreads signal an impending crisis or a short-lived repricing is still up for debate. The outcome may come down to how quickly AI revenue catches up with the capital being poured into it.