Edward Conard

Top Ten New York Times Bestselling Author

  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
  • “There are an amazing number of good ideas and interesting points made in Unintended Consequences. The thinking underlying it, and the obvious depth of understanding of the author, are very impressive.” - Steven Levitt, coauthor of Freakonomics; 2004 John Bates Clark Medal
  • “Unintended Consequences is far smarter and more thought-provoking than most economics written for the general public” - Greg Mankiw, Harvard University, Former Chairman of the Council of Economic Advisors
  • “Unintended Consequences represents the most cogent and persuasive analysis of the Financial Crisis to date.” - Andrei Shleifer, 1999 John Bates Clark Medal Winner
  • “Unintended Consequences should be read by anyone who takes for granted the superiority of progressive taxation and has not thought carefully about the trade-offs involved.” - The New Republic
  • “…a very valuable contribution.” - Larry Summers, former Secretary of the Treasury and director of the National Economic Council, president emeritus, Harvard University
  • “Unintended Consequences provides a provocative interpretation of the causes of the global financial crisis and the policies needed to return to rapid growth. Whether you agree or not, this analysis is well worth reading.” - Nouriel Roubini, New York University; Chairman, Roubini Global Economics
  • “…a must-read for serious students of economic policy.” - Glenn Hubbard, Dean, Columbia Business School, and former Chairman of the Council of Economic Advisers
  • “…a fresh argument for the productive value of inequality.” - David Autor, Professor of Economics, Massachusetts Institute of Technology
  • “…challenges misconceptions that distort our economic debates.” - Arthur Brooks, President of the American Enterprise Institute
Upside of Inequality Oxford Unintended Consequences

AI Summary. Companies funding AI data centers through jointly owned special purpose vehicles keep the borrowing off their own balance sheets while retaining shared control and use of the facilities. AI data center spending already exceeds telecom spending during the dot-com bubble, and weak returns would quickly wipe out the thin equity cushion above the vehicles' debtholders.

Paul Kedrosky Applied Complexity
Date Posted:
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The AI buildout is being funded by special purpose vehicles (SPVs). Paul Kedrosky warns “if the returns aren’t there quickly, the thin equity cushion above datacenter SPV debt holders will be speedily wiped out.”

Are off-balance-sheet vehicles hiding the risk of AI data center debt?

Core argument: A rough estimate puts current AI data center spending above telecom capital spending during the dot-com bubble, driven by the same sort of hyperbolic projections of future usage and spending.

The capital needed for these buildouts is so large that doing it with orthodox balance sheet debt, or by issuing sufficient equity, let alone spending your cash, would make a mess of your balance sheet. By structuring it this way, via special purpose vehicles (SPVs) in which they have joint ownership, companies like Meta don't have to show the debt as their debt. It is the debt of those guys over there, that SPV. Not us. Granted, they retain shared control, and they get to use the AI data center, and nothing there happens without their say-so, but still. It's not ours. [Here] is a rough estimate of AI data center now vs telecom spending then during the dot-com bubble. We are already spending more now than then, driven by the same sort of hyperbolic projections of future usage and spending. They may turn out to be correct, but if the returns aren't there quickly, the thin equity cushion above datacenter SPV debtholders will be speedily wiped out.

Takeaways by Macro Roundup® AI

  1. A rough estimate puts current AI data center spending above telecom capital spending during the dot-com bubble, driven by the same sort of hyperbolic projections of future usage and spending.
  2. Companies such as Meta finance AI data centers through jointly owned special purpose vehicles, keeping the debt off their own balance sheets while retaining shared control and use of the facilities.
  3. The equity cushion above AI data center SPV debtholders is thin and would be speedily wiped out if returns on the buildouts do not arrive quickly.

Related Articles:

  • Microsoft’s Datacenter Freeze – 1.5GW Self-Build Slowdown & Lease Cancellation Misconceptions — Reported cancellations of about 2GW of Microsoft datacenter capacity cover only non-binding letters of intent, while the company holds roughly 5GW of pre-leased capacity under binding contracts slated to begin operating between 2025 and 2028. The authors estimate Microsoft accounted for more than 60% of all newly leased turnkey datacenter capacity over a recent six-quarter stretch.
  • The Alchemists — NVIDIA's share of all US capital spending is projected to approach two 20th-century peaks by 2026, and large cloud providers would need $400–500bn in new revenue to earn their traditional 50% gross margin on roughly $250bn of annual data center spending. After the dot-com collapse, Corning's fiber optic revenues did not surpass 2000 levels until 2018 in nominal terms.
  • A Severe Case of COVIDIA: Prognosis For An AI-Driven US Equity Market — Computing cycles move from infrastructure to platforms to applications, and NVIDIA data center revenues as a share of market-wide capital spending are projected to reach levels last seen at the 1969 mainframe peak and the dot-com boom. Large cloud providers spend more than twice as much training foundational models as running them for customers.
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