AI fundraising eats capital like a debt machine... yum yum, gotta snack!
I’ll say from the start that I’m not saying this is necessarily good or bad, as such. Just that a really important part of the financial system is getting a complete do-over, mid-flight, and probably not enough people are thinking about what it all means. That part of the financial system is the corporate bond market, and the revolution is at the hands of the Big Tech behemoths that are tapping into it on an absolutely mind-bending scale.
"the gist is that the hyperscalers have cut their reliance purely on free cash flow to pay for all their AI widgets and have instead turned to the debt markets."
We know a thing or two about that from Bitcoinland. Saylorbois have shown the way! (Next up. AI preferred shares!!) Print shares, not money #1544738
this is all bending the credit markets in some very weird directions. One of them is tenors. The average weighted tenor in US IG is 10.7 years, Goldman says. In the issues from big tech companies, however, a fifth comes with an average tenor of more than 14 years and among the big-five hyperscalers, it’s more still, at 16.5. This all means that credit investors have to totally rethink their sectoral concentration if they want to avoid the fate of stock indices that often look and smell like active tech funds.
interesting, interesting!
As a long-awaited scaling up of a dusty market, of indices, of hedging practices? Or as a regrettable crowding out in debt markets by Big Tech? Perhaps all of that at the same time.
"this market is transforming before our eyes."
archive: https://archive.md/gZuzX
Historical precedent and ch11 outcomes:
The winner: Level 3 Communications. Why? Because they weren't as leveraged as the others (came close to being in the above list.)
This is of course boomer shit from the early 2000s, but it's not like this didn't happen before. Give it 5 years or so.
Same Katie Martin? https://x.com/DSBatten/status/2059653740605452350
Yup, that's why I call her tooth fairy
https://twiiit.com/DSBatten/status/2059653740605452350
Why Big Tech’s AI Spending Is $3 Trillion Higher Than It Seems
Massive spending commitments for data-center leases and chips aren’t shown on companies’ balance sheets.
Each quarter, big tech companies disclose their massive capital expenditures on artificial-intelligence infrastructure, from https://archive.ph/o/6tWhz/https://www.wsj.com/topics/industry/data-centers to chips.
But those figures don’t come close to expressing the [full extent of future spending] to which Google parent https://archive.ph/o/6tWhz/https://www.wsj.com/market-data/quotes/GOOGL, https://archive.ph/o/6tWhz/https://www.wsj.com/market-data/quotes/META, https://archive.ph/o/6tWhz/https://www.wsj.com/market-data/quotes/ORCL and many others have committed. That is because a huge swath of their https://archive.ph/o/6tWhz/https://www.wsj.com/tech/ai/meta-stumbles-as-tech-investors-demand-better-answers-on-ai-spending-fc731909 aren’t reflected on their balance sheets.
Nine top tech companies had some $3 trillion of off-balance-sheet commitments mostly related to AI, according to a Wall Street Journal analysis of footnotes in their most recent securities filings. Those obligations are growing faster than traditional “capex,” which totaled about $600 billion over the past year they reported, and were about triple what the companies owe under their outstanding leases and long-term borrowings.
https://archive.ph/6tWhz