AI debt is getting crowded

Meta now has $900B in liabilities and future commitments. Almost none of it is traditional bond debt.

Meta's latest 10-Q, plus the $68B July lease subsequent event, adds up to roughly $900B in liabilities and future commitments, including contingent cloud purchases. Three quarters ago it was $384B, then $587B in Q1. You can see that in the two charts below.

What's in it:

• $349B in noncancelable purchase commitments

• $279B in leases not yet commenced, plus another $68B signed in July

• Only $84B in long-term bonds

Most of the AI buildout is being financed through contracts, not the bond market. This isn't all GAAP debt, and the number excludes ~$89B of future bond interest. But these are obligations Meta has signed up for.

Meta isn't alone. Using a broader off-balance-sheet framework, the hyperscalers plus NVDA, AVGO and SpaceX now disclose about $3.6T in commitments, up from Morgan Stanley's $3.3T estimate in August:

Why this matters for credit markets:

1. Supply. Commitments this size eventually need funding. Expect heavier investment-grade issuance, more private credit and SPV structures, and more lease-backed financing.

2. Spreads. A handful of issuers dominating IG supply can pressure spreads for everyone else.

3. Opacity. Leases, guarantees and backstops don't look like debt on the balance sheet, so credit analysis has to go beyond headline leverage.

4. Circularity. Chip makers backstopping their own customers' capacity makes counterparty risk harder to map.

The bull case is that these are backed by real demand and strong cash flows. But the commitments are fixed, and the revenue is not. If AI monetization lags the buildout, the pressure shows up in credit first. And in some cases, it’s starting to show up in credit spreads.

Want to know more? You can register for free at Fund@mental.

#iamfundamental #soyfundamental #wealthmanagement #familyoffice #financialadvisor #financialplanning #policymistake #ratecut #stagflation