Jayanth Raghothama's Avatar

Jayanth Raghothama

@jayanthr.bsky.social

Academic, Photographer

20 Followers  |  46 Following  |  1 Posts  |  Joined: 01.10.2024  |  1.5538

Latest posts by jayanthr.bsky.social on Bluesky

Screenshot text from the Atlantic 

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.

Data-center build-outs aren’t the same as subprime mortgages. Still, there is plenty of precarity baked into these investments. Data centers deteriorate rapidly, unlike the more durable infrastructure of canals, railroads, or even fiber-…

Screenshot text from the Atlantic 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. Data-center build-outs aren’t the same as subprime mortgages. Still, there is plenty of precarity baked into these investments. Data centers deteriorate rapidly, unlike the more durable infrastructure of canals, railroads, or even fiber-…

seems bad!

www.theatlantic.com/technology/2...

03.11.2025 20:03 — 👍 684    🔁 208    💬 39    📌 100
Post image

🧵 1/
🚨 New paper out in PLOS ONE! w/ @caropradier.bsky.social @benzpierre.bsky.social @natsush.bsky.social @ipoga.bsky.social @lariviev.bsky.social
We studied 43k authors and 264k citation links in U.S. economics to ask:
👉 Why do some papers cite others?
🔗 journals.plos.org/plosone/arti...

27.10.2025 18:06 — 👍 27    🔁 19    💬 1    📌 3
Post image

No notes

29.08.2025 14:14 — 👍 14514    🔁 4105    💬 220    📌 173

Don't be too fast of a learner, or too slow. Don't have any disabilities! Don't daydream. Don't socialize. Don't get bored. Don't get upset. Don't have questions. Don't think.

26.08.2025 14:05 — 👍 1130    🔁 318    💬 50    📌 16

That's why we need to push back against this myth.

Expertise matters. Skill matters.

Problems are solved by analysing and understanding them deeply, not by discarding every piece of knowledge we have about them.

Don't let Tech and Business bros convince you otherwise. /end 🧵

21.08.2025 19:11 — 👍 238    🔁 51    💬 1    📌 0
Post image

WARZEL: What if Gen AI is “just good enough, useful to many without being revolutionary? ..

“.. Good enough .. would likely mean that not enough people recognize what’s really being built—and what’s being sacrificed—until it’s too late.”

@cwarzel.bsky.social
www.theatlantic.com/technology/a...

18.08.2025 23:06 — 👍 262    🔁 60    💬 13    📌 5
Preview
One Day, Everyone Will Have Always Been Against This From award-winning novelist and journalist Omar El Akka…

If there is one book you read this year, make it this one:
www.goodreads.com/book/show/21...

18.08.2025 17:24 — 👍 1    🔁 0    💬 0    📌 0
Preview
Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

Very interesting new research:

"Drawing on previous work presented within the field of Critical Data Studies (CDS), we argue that our findings point to a more fundamental problem; namely the failure to recognize that the FAIR framework is built on a positivist conceptualization of data"

#FAIR

30.07.2025 08:05 — 👍 1    🔁 1    💬 0    📌 0

@jayanthr is following 20 prominent accounts