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Related: Editorials & Other Articles, Issue Forums, Alliance Forums, Region ForumsMeta is hiding $30 billion in AI infrastructure debt off its balance sheet using special purpose vehicles
I'm not familiar with the X account below, but this tweet was reposted by AI expert Gary Marcus.
Link to tweet
Hedgie
@HedgieMarkets
Meta is hiding $30 billion in AI infrastructure debt off its balance sheet using special purpose vehicles, echoing the financial engineering that triggered Enron's collapse and the 2008 mortgage crisis. Morgan Stanley estimates tech firms will need $800 billion from private credit in off-balance-sheet deals by 2028. UBS notes AI debt building at $100 billion per quarter "raises eyebrows for anyone that has seen credit cycles."
The Structure
Off-balance-sheet debt through SPVs or joint ventures is becoming the standard for AI data center deals. Morgan Stanley structured Meta's $30 billion in an SPV tied to Blue Owl Capital, making it easier to raise another $30 billion in corporate bonds. Musk's xAI is pursuing a $20 billion SPV deal where its only exposure is paying rent on Nvidia chips via a 5-year lease. Google backstops crypto miners' data center debt, recording them as credit derivatives.
My Take
This is 2008-style financial engineering repackaged for AI. The key difference from the dot-com era is growth was financed with equity then. Now there's rapid capex growth driven by debt kept off balance sheet. When chips estimated to last five to six years may be obsolete in three, and companies structure deals where their only exposure is short-term leases, that's hidden leverage creating the opacity that preceded past crises. Meta keeping $30 billion off its balance sheet while UBS warns about $100 billion quarterly AI debt buildup shows the pattern I've been documenting where leverage accumulates outside traditional visibility.
Hedgie
@HedgieMarkets
Meta is hiding $30 billion in AI infrastructure debt off its balance sheet using special purpose vehicles, echoing the financial engineering that triggered Enron's collapse and the 2008 mortgage crisis. Morgan Stanley estimates tech firms will need $800 billion from private credit in off-balance-sheet deals by 2028. UBS notes AI debt building at $100 billion per quarter "raises eyebrows for anyone that has seen credit cycles."
The Structure
Off-balance-sheet debt through SPVs or joint ventures is becoming the standard for AI data center deals. Morgan Stanley structured Meta's $30 billion in an SPV tied to Blue Owl Capital, making it easier to raise another $30 billion in corporate bonds. Musk's xAI is pursuing a $20 billion SPV deal where its only exposure is paying rent on Nvidia chips via a 5-year lease. Google backstops crypto miners' data center debt, recording them as credit derivatives.
My Take
This is 2008-style financial engineering repackaged for AI. The key difference from the dot-com era is growth was financed with equity then. Now there's rapid capex growth driven by debt kept off balance sheet. When chips estimated to last five to six years may be obsolete in three, and companies structure deals where their only exposure is short-term leases, that's hidden leverage creating the opacity that preceded past crises. Meta keeping $30 billion off its balance sheet while UBS warns about $100 billion quarterly AI debt buildup shows the pattern I've been documenting where leverage accumulates outside traditional visibility.
Hedgie
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Meta is hiding $30 billion in AI infrastructure debt off its balance sheet using special purpose vehicles (Original Post)
highplainsdem
Thursday
OP
Metaphorical
(2,560 posts)1. A Crash Is Coming
Meta, OpenAI, X, all of these are running accounting schemes that are so dodgy that in any normal universe would have caused a collapse. Six months, maybe, before the music stops and investors start fleeing (the smart ones are already doing so). I expect it's going to be an OpenAI IPO gone sour that may be the final straw, but the problem is that there are so many of these games going on right now that it could be any "black swan" event.
hunter
(40,170 posts)4. The quicker and harder it crashes the better.
A worse outcome would be for AI to linger on like a chronic disease.
mopinko
(73,173 posts)2. just want to point out- the dot com bubble
was a result of all the hiring to deal w y2k issues. once that past, a lot of ppl/companies were out of work.
cachukis
(3,563 posts)3. Worrisome.