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Naked Capitalism, reading a Groundbreaker post, argues the AI buildout's take-or-pay obligations reset in 2027 and 2028, and because those leases sit outside sponsor debt there is no disclosure to size them.
The Investor · Invest desk

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A take-or-pay contract that the sponsor does not carry as debt still gets a building financed, and the lender ends up underwriting a name against which it holds no recognised claim [2]. That is the whole mechanism, and it sits one party away from the cash flows everybody models, because in this structure it is the frontier labs that contract for, lease and build the data centres [3], while the companies whose demand justifies the concrete are multi-line public issuers whose AI activity is one segment among several and disclosed accordingly [9].
So the arithmetic that matters is not annual capex but committed term. Five years contractually binding against fifteen years of renewals is seventy-five per cent of a twenty-year headline sitting at the tenant's discretion [14], and the post is dated September 2026 [15], which puts the near edge of the reset window roughly four months out and the far edge roughly twenty-seven [16]. Naked Capitalism's evidence for how thin the disclosure is happens to be circumstantial and persuasive: Ed Zitron has to write many multi-thousand-word posts to establish that the main players ex Nvidia are showing paltry revenue against huge and growing capex [10].
Underneath the leases is the funding, and the funding is where the sizing fails. Even the cash-rich incumbents lack the internal resources and do not expect equity issuance to cover it, so they borrow [11]; the bonds are issued for general corporate purposes rather than earmarked [5]; and the private credit layer that carries the rest contains funds buying private equity investee debt, borrowing through subscription lines, and taking money from hedge funds and individuals who themselves borrowed to invest [7]. Which layer count you are in decides the outcome: one layer produced Japan's deep downturn and what Richard Koo called a balance sheet recession, while levered borrowings on top of borrowings produced 1929 and 2007-2008 [12]. Subprime, for all of it, was documented, with loans pooled into securitisations and title transfers and sale prices on public record, costly to aggregate but there [8].
The window can resolve three ways. Revenue arrives, the labs renew, and the resets are administrative. The labs decline the second term, and the loss lands on developers and their lenders, which hurts and stops there if those lenders are unlevered. Or those lenders are levered in the manner the Financial Times and others could not quantify [6], in which case containment is an assumption rather than a finding. My reading, and it is probably wrong in emphasis rather than direction, is that the reset date is the more informative number than the capex line, since capex can be slowed in a quarter and a lease expiry cannot be moved. Naked Capitalism's reference point for how quickly a covenant-grade name can decay is General Electric, once AAA and since fallen from investor grace, which is the question it then puts to Meta [13]. Two things would kill the thesis: if the take-or-pay obligations turn out to be parent-guaranteed rather than lab-level, the one-party-away problem disappears, and if the twenty-year structure is a recollection rather than a document [4], as the author concedes it is, the wall loses most of its height.
Ranked by verification strength, evidence, and original report placement.
The Financial Times and other major publications that attempted to get to the bottom of private credit have thrown up their hands, warning that there is leverage on leverage but that no one has a clue how much.
Private credit funds buy the risky debt of private equity investee companies; investors in those funds are often hedge funds or wealthy individuals who have borrowed to increase what they can put to work; and the funds themselves may borrow through subscription lines of credit.
Naked Capitalism says AI financing comes from public bond issuance by big tech players for general corporate purposes, not dedicated to AI, and relies even more heavily on private debt, where private credit funds are substantial providers.
In the subprime crisis, problem loans were in large measure sold into securitised pools, which meant considerable information existed about them, and housing title transfers and sale prices are public record, though aggregation and analysis were costly.
Naked Capitalism argues that one layer of leverage, as in the Japanese real estate and stock bubbles, tends to produce a deep downturn and what Richard Koo called a balance sheet recession, while borrowings that are themselves levered, as before 1929 and in 2007-2008, can produce a catastrophic fast meltdown that imperils the payment system.
Naked Capitalism notes that the once AAA-rated General Electric has taken a big fall in investor grace, and asks how strong the now-mighty-seeming Meta will be if AI bets come a cropper.
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1 article · September 1, 2026
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Evidence-backed comparisons of source perspectives and observed adoption signals. Read the methodology
Which Builder, Operator, and Investor concerns the observed source mix emphasized—not a truth score.
Evidence, demonstrated adoption, hype gap, incentives, and confidence are assessed independently, each on its own current evidence. How these are measured.
Two relays and a recollection
Strip out the background and what carries this story is a post Naked Capitalism summarises instead of quoting, plus a Meta lease the author introduces with 'I read of'. The scaffolding is solid and standard: subprime's securitisation trail really was public, private credit really does stack fund borrowing on levered investors. The specifics that would make it actionable, the 2027-28 dates, the trillions in commitments, the claim that the leases sit outside sponsor debt, arrive entirely at second hand with no filing, footnote or contract put in front of the reader.
Nothing here to count
The subject is obligations that, on this story's own account, appear nowhere: no lease footnotes, no issuance detail, no company confirming a take-or-pay schedule. That absence is the argument, but it also means there is no uptake, deployment or disclosure to measure, so we score nothing rather than score a zero.
Sharper dates than the record allows
Direction and precision part company. That compute obligations bunch in 2027 and 2028 is a plausible reading of how these deals are written; that the industry hits a wall on that schedule is a forecast Naked Capitalism adopts whole and endorses without sizing. The teaser-rate analogy is genuinely illuminating and quietly flattering to the conclusion: in 2007 the reset dates sat in the loan tapes, and here the author's own point is that nobody can find the tape.
A long-held house view, warmly relayed
Naked Capitalism has been making a version of this argument since the last crisis and says so outright; 'Yours truly begged to differ then' is the tell. Part of the post's job is promotional, urging readers toward Groundbreaker, whose thesis it has taken on, with nothing said either way about the relationship. Nobody with money at stake in these leases is quoted, and no reason is offered for why the resets might be absorbed. None of that makes the case wrong; it does mean the piece was never structured to fail.
Sound instinct, unverified particulars
The corporate-finance reflex behind this is right: capitalise the leases, then look again at total debt to assets. Where confidence drains away is the particulars, because there is no counterparty, no schedule and no document a reader could pull. We are rating the reasoning, not the reporting, and the reasoning arrives one hop removed from its own sources.