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The Debt You Can’t See

You probably own a piece of a company you’ve never heard of.

It’s called Beignet Investor LLC, and it owes bondholders $27.3 billion.

It has no products and no customers you’d recognize.

It exists for one job: to hold the debt for Meta’s giant Louisiana data center so Meta does not have to.

Meta built the campus, runs it, and will pay the rent. On paper, though, the $27.3 billion belongs to Beignet.

And Meta’s balance sheet stays clean, meaning the debt is not on Meta’s balance sheet.

That one deal sits inside a much larger floodgate. In eighteen months, tech companies have pushed more than $120 billion of AI spending and debt into vehicles like this, and the lenders funding them are already showing cracks.

How the ‘Financeamagic’ Works

Meta spent a year with Morgan Stanley designing the structure and won a private SEC letter blessing the accounting. The recipe:

  • Blue Owl Capital owns 80% with $2.5 billion of equity. Meta keeps 20%.
  • Pimco bought $18 billion of the bonds. BlackRock bought billions more.
  • Meta rents the campus back through four-year leases across 11 buildings, just short enough to book as an operating expense instead of debt.
  • Meta can walk away as early as 2033. The bonds run to 2049.

The bond market saw through the label on day one.

The bonds carry an A+ rating, yet they priced near 6.6%, a point above Meta’s own bonds and in line with the average junk bond.

Oracle’s $16.3 billion Michigan campus priced their bonds even worse at about 7.5%, with six years of interest-only payments before the principal shrinks at all.

The Trick Runs in Reverse Too…

CoreWeave rents AI chips to the giants, and all three rating agencies rate the company junk. Its own bonds trade near 10% yields.

In March, it borrowed $8.5 billion at investment-grade rates anyway.

Moody’s stamped the loan A3 because of what sits behind it: a rental contract from Meta worth at least $19 billion, plus warehouses of chips that lose most of their value within three to five years.

In 2006, an AAA label came from a mortgage pool’s structure. Today, an A3 label comes from one customer’s promise to keep paying with chips that depreciate and power costs that may change.

The Lease Mountain

US tech companies now hold more than $850 billion in data center lease commitments, up $570 billion in a single year. That’s a 204% jump year over year.

  • Oracle: ~$250 billion in commitments against a market cap of just $398 billion.

Oracle’s lease pile equals 62% of its entire stock market value. Its shares have dropped 29% this year, and S&P cut Oracle to BBB-, one notch above junk. Moody’s has it at Baa2 with a negative outlook.

Microsoft and Meta are not too far behind, either…

Who are The Lenders Behind the Curtain?

Private credit.

The BIS counts more than $200 billion of private credit loans to AI companies, up from near zero just a few years ago, jumping from under 1% of the market to almost 8%.

  • The FSB says AI took more than a third of all private credit deals in 2025, up from 17% over the prior five years.

Morgan Stanley projects private credit will supply $800 billion more in data center financing between 2025 to 2028.

Where it Starts to Break…

First, nobody can see the prices.

A bond on Meta’s balance sheet gets a market price every day. A loan inside a private credit fund gets whatever price the fund’s own model assigns.

MSCI studied $73 billion of these loans and found software debt marked down more than 20% hit a five-year high last September.

It also warned private marks trail public prices by about two quarters, so today’s stated values still hide losses that already happened.

Second, the regulators are worried:

The Financial Stability Board warned in May that a sharp AI correction could lead to sizeable credit losses to private credit investors.”

It pointed to Tricolor, a subprime auto lender and First Brands, an auto-parts supplier that had borrowed from private credit that collapsed last year amid fraud claims.

JPMorgan and Barclays took losses on the fallout, showing how fast this risk finds its way back to the banks.

Third, the lenders are facing a run:

Blue Owl, the firm that owns 80% of Meta’s debt vehicle, saw requests to pull 40.7% of its technology credit fund in the first quarter.

The normal limit is 5%.

The pressure eased, but didn’t end in the second quarter. Requests ran four times the cap, and the gates stayed up. Blue Owl froze a third fund for good and sold $1.4 billion of assets for cash.

Blackstone’s biggest credit fund took $3.8 billion of withdrawal requests, and Moody’s cut its outlook on the whole business-development-company sector to negative.

The firms holding the AI debt are the firms facing withdrawals. If they sell loans to pay exiting investors, forced sales reveal true prices.

Then, lower prices trigger more exits and the loop feeds on itself.

The “Toothpaste Principle”

A Columbia accounting professor put it best: risk is a tube of toothpaste.

Squeeze it out of Meta’s balance sheet and it pops up somewhere else, in a bond fund, a chip loan, or a pension.

Pimco anchored both the Meta and Oracle deals, and its $225 billion Income Fund sits on 401(k) menus across the country. The Beignet bonds are now one of that fund’s largest holdings outside Treasuries.

Because the debt trades under a private 144A format that still slips into the indexes target-date funds copy, even the “safe” bond option can hold it without ever showing you. Safe. Ya, not the word I would use to explain that structure.

Pick that option and you own a slice of a data center Meta can walk away from in 2033. You hold the bonds until 2049. Meta gets an exit, but you don’t.

Unlike the banks of 2007, the hyperscalers still turn a profit.

The plumbing beneath them looks familiar all the same: $850 billion of lease promises resting on a fraction of that in AI revenue, funded by lenders fighting off a run, priced by models instead of markets.

Subprime left us one lesson that still holds…

When the label says investment grade and the yield says junk, believe the yieldAlways believe the real rate of the yield.

Regards,

Marin Katusa

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