- Bloomberg pegs outstanding AI data center debt at over $500 billion right now
- CoreWeave isolates each loan in its own separate special purpose vehicle
- Parent companies report only a fraction of their real total exposure and hide the rest in shell entities
A growing number of analysts are now warning that AI data center debt is increasingly resembling the subprime loans that triggered the 2008 financial crisis.
Much of this debt is issued through special purpose vehicles, structures that keep billions of dollars off corporate balance sheets entirely.
Bloomberg estimates more than $500 billion in outstanding AI data center debt, with about $200 billion held by private credit funds.
A debt structure built on theoretical income
Special Purpose Vehicles (SPVs) raise debt to build data centers, then repay creditors only when paying customers start generating revenue.
That structure is exactly why CoreWeave has raised billions through separate SPVs for individual loans, including an $8.5 billion facility attached to Meta’s contract, as each loan remains isolated in its own entity.
The same logic explains why Nikkei Asia reported that Meta, Google, Amazon, Microsoft and Oracle have accumulated about $1.65 trillion in debt over five years, much of it spread across similar vehicles rather than sitting on a single balance sheet.
This difference between real exposure and reported debt exists because these vehicles are jointly owned with outside investors, leaving the parent company to report only a fraction of the risk.
Meta’s Hyperion data center clearly shows the pattern: It is owned 80% by Blue Owl and only 20% by Meta itself, so the bulk of the debt resides with Blue Owl on paper, even though Meta is the intended tenant.
Google has used the same approach, spinning off debt-financed data centers built by Fluidstack, Cipher Mining and TeraWulf without those commitments ever touching its own balance sheet.
Those kinds of arrangements are precisely what drew the audit from auditor Ernst & Young, which flagged Meta’s structure as a critical audit matter, questioning who ultimately bears its financial risk.
The effort goes far beyond the companies involved, because pension funds and insurance companies are also directly exposed, with many now dependent on data center returns to finance future payouts.
Echoes of the 2008 mortgage collapse
The comparison to 2008 holds because both bubbles rested on the same flawed premise: that demand would continue to grow forever and never needed to be tested.
Subprime mortgages were proof of that thinking at the time, and by 2006, about 20% of all new mortgages issued in the United States were already classified as subprime, according to government data.
Instead of treating it as a warning sign, financial institutions bundled these loans into complex securities, a move that obscured the true underlying risk to investors and rating agencies alike.
Financier Michael Milken captured the mood of the era when he publicly described such securities as a “financial innovation” that would broadly increase national wealth and jobs.
Reality caught up with that optimism when mortgage defaults began to skyrocket in 2005, and the damage cascaded throughout the financial system from there.
Lehman Brothers embodied how out of control that trust had become, operating at more than 25 times leverage in 2005 without serious pushback from regulators or rating agencies.
Today’s numbers reflect the same pattern of unexamined risk: analysts estimate more than $1.4 trillion in bank exposure to private credit, $300 billion of which is held by major banks alone.
Some estimates suggest that planned AI data center capacity exceeds actual annual compute demand by a factor of about 15 times.
Unlike 2008, this risk is not driven by derivatives, but by the scale of individual data center costs.
Whether this debt is settled gradually or all at once is likely to depend on how quickly large AI customers can pay their bills.
So far, the scale of exposure across banks, pensions and insurance companies suggests that the comparison with 2008 is not just rhetorical.
Via Ed Zitron
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