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How Big Tech Hides AI Infrastructure Debt?

Deep Values

Silicon Valley tech giants are on track to spend a staggering $700 billion on AI infrastructure this year alone. Yeah, it's a massive number. Just completely unprecedented. Right, but to pay for that build out, they aren't just dipping into their famous cash reserves. They're actually actively dusting off the exact same off-balance sheet financial engineering that, you know, brought down Enron. And fueled the 2008 financial crisis, yeah.

Exactly. So, welcome to today's Deep Dive. We are looking directly at the hidden financial plumbing holding the AI boom together for you today. And it is a fascinating topic because when you look past the shiny front end of what AI can do and focus strictly on how it's being financed, well, the whole ecosystem starts to look intensely fragile. It really does. And today, we're unpacking an incredibly sobering analysis from Steve Eisman.

For anyone following the markets, you know Eisman is the legendary investor who notoriously shorted the housing market before the great financial crisis. Right. He's the guy who saw the cracks before anyone else did. Exactly. And he isn't spending his time evaluating, like, large language models or neural networks. He is looking squarely at the balance sheets. Because that's where the real story is. He's identifying structural parallels to past financial disasters that are being deployed right now, today, by the biggest companies in the world.

So, the thesis here is essentially that Enron-era accounting tricks are back with a vengeance. But before we get into the hidden debt, we kind of need to understand the macro pressure cooker that's forcing tech into these shadowy corners, right? Yeah. We have to understand why they're suddenly so desperate for cash.

How Big Tech Hides AI Infrastructure Debt?

Read the full transcript

The candid version is on a podcast,
not the earnings call.

How Big Tech Hides AI Infrastructure Debt?

Read the full transcript

The candid version is on a podcast, not the earnings call.

The candid version is on a podcast,
not the earnings call.