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The data center bubble
Posted on 11/1/25 at 1:41 pm
Posted on 11/1/25 at 1:41 pm
quote:LINK
Here is where the bubble dynamics get complicated. Tech firms don’t want to formally take on debt—that is, directly ask investors for loans—because debt looks bad on their balance sheets and could reduce shareholder returns. To get around this, some are partnering with private-equity titans to do some sophisticated financial engineering, Paul Kedrosky, an investor and a financial consultant, told us. These private-equity firms put up or raise the money to build a data center, which a tech company will repay through rent. Data-center leases from, say, Meta can then be repackaged into a financial instrument that people can buy and sell—a bond, in essence. Meta recently did just this: Blue Owl Capital raised money for a massive Meta data center in Louisiana by, in essence, issuing bonds backed by Meta’s rent. And multiple data-center leases can be combined into a security and sorted into what are called “tranches” based on their risk of default. Data centers represent an $800 billion market for private-equity firms through 2028 alone. (Meta has said of its arrangement with Blue Owl that the “innovative partnership was designed to support the speed and flexibility required for Meta’s data center projects.”)
In this way, the data-center financing ends up being a real-estate deal as much as an AI deal. If this sounds complicated, it’s supposed to: The complexity, investment structure, and repackaging make exactly what is going on hard to parse. And if the dynamics also sound familiar, it’s because not two decades ago, the Great Recession was precipitated by banks packaging risky mortgages into tranches of securities that were falsely marketed as high-quality. By 2008, the house of cards had collapsed.
Posted on 11/1/25 at 1:46 pm to Jim Rockford
They've financed data centers like this for years. Stack and Vsntage are huge builders, the risk is type of tenants- big companies like Meta, Google, etc...are considered prime tenants with long tetm leases...renting space to smaller companies and start ups is more risky and investors require higher returns. Investors know tenants prior to origination and funding.
Posted on 11/1/25 at 1:46 pm to Jim Rockford
That snippet just details how financing a data center works and draws a parallel to how bad investments by financial institutions led to the housing market collapse, it does not say that there are any issues, currently, with how those are being financed.
Posted on 11/1/25 at 1:50 pm to RummelTiger
Except that AI is currently not generating much revenue and it's unclear whether it ever will generate enough to support this massive buildout. That's the bubble, or at least potential bubble.
Posted on 11/1/25 at 1:53 pm to Jim Rockford
quote:
Except that AI is currently not generating much revenue and it's unclear whether it ever will generate enough to support this massive buildout. That's the bubble, or at least potential bubble.
Go back a decade and they were saying the same thing about search and Facebook. Hell, they said it about the Internet in general.
Posted on 11/1/25 at 1:55 pm to Jim Rockford
This is a completely normal thing. The only reason things busted in 2008 was because they took incredibly risky mortgages, packaged them together, then sold them as low risk securities because “people will always pay their mortgages”
Posted on 11/1/25 at 1:55 pm to Jim Rockford
quote:
xcept that AI is currently not generating much revenue
The revenue is in cost savings, i.e. cutting jobs or streamlining processes.
Posted on 11/1/25 at 1:56 pm to Jim Rockford
quote:
Except that AI is currently not generating much revenue and it's unclear whether it ever will generate enough to support this massive buildout. That's the bubble, or at least potential bubble.
Correct
People think AI is cool to play with but arent willing to pay much for it at this point outside of niche stuff
You need to scale and improve it to replace human jobs then you make money but its not happening yet.
Posted on 11/1/25 at 2:10 pm to travelgamer
quote:
The revenue is in cost savings, i.e. cutting jobs or streamlining processes.
This. AI isn’t itself a revenue generator, unless it’s sold as a service. AI reduces expenses extremely effectively, which can allow companies to scale much more rapidly. That is the “revenue” potential of AI, and we’re already starting to see it.
Posted on 11/1/25 at 2:21 pm to Upperdecker
quote:
This is a completely normal thing. The only reason things busted in 2008 was because they took incredibly risky mortgages, packaged them together, then sold them as low risk securities because “people will always pay their mortgages”
Almost everyone in Iceland was a subprime borrower and the money wasn't for homes. This was much more widespread than what The Big Short portrayed.
Posted on 11/1/25 at 2:25 pm to Upperdecker
quote:
This. AI isn’t itself a revenue generator, unless it’s sold as a service. AI reduces expenses extremely effectively, which can allow companies to scale much more rapidly. That is the “revenue” potential of AI, and we’re already starting to see it.
More for R&D than designing any processes. Several Chem E's with years of experience tell me it gives bullcrap answers. However, a chemist friend who designed the lab reactor made the first ever single wall carbon nanotube wire (11 ga) told me that especially Meta is fantastic for research even with trade secrets.
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