Four five-year leases are doing the work of a twenty-year AI commitment
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
What happened
- Naked Capitalism relays a Groundbreaker post arguing that the take-or-pay contracts frontier labs sign for data centre capacity are set to blow up across the industry in 2027 and 2028.
- The mechanism Groundbreaker names is leases that are not accounted for as debt at the AI sponsor, keeping the commitment outside the sponsor's reported borrowings.
- The author recalls a Meta data centre commitment that presented as twenty years and was written as four back-to-back five-year leases.
- The Financial Times and other outlets that tried to size private credit reported leverage stacked on leverage without being able to attach a number to it.
Why it matters
- What it limits constraint With AI buried as one segment inside multi-line public issuers, an outside investor cannot build the 2027 and 2028 obligation schedule from filings, so positions get taken on narrative because the arithmetic is unavailable.
- Who's exposed exposure The party holding renewal risk from year six onward is the developer and whoever lent against the building, while the sponsor whose name sold the deal holds an option it can decline.
- Who has to decide decision Anyone underwriting this now has to choose which number to monitor, and a capex line that can be trimmed in a quarter tells you less than a contract expiry that cannot be moved.
- What it sets up precedent Once a twenty-year headline can be papered as four five-year terms, the disclosed term stops standing in for the committed term in every data centre deal negotiated after it.
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 [10]. 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 [11], while the companies whose demand justifies the concrete are multi-line public issuers whose AI activity is one segment among several and disclosed accordingly [13].
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 [16], and the post is dated September 2026 [7], which puts the near edge of the reset window roughly four months out and the far edge roughly twenty-seven [8]. 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 [14].
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 [15]; the bonds are issued for general corporate purposes rather than earmarked [3]; 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 [2]. 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 [5]. 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 [4].
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 [1], 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 [6]. 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 [12], as the author concedes it is, the wall loses most of its height.
What to watch
- A sponsor breaking out committed data centre lease maturities by year, which would let an outsider price the 2027 and 2028 columns instead of inferring them.
- Groundbreaker's 2027-2028 take-or-pay dating tested against an actual signed contract rather than industry nomenclature.
- Any regulator or newsroom putting a figure on private credit subscription lines and levered fund investors, which is the number that decides whether a lab walking away stays contained.
Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence28
- Adoption
- Not scored
- Hype gap+32
- Incentives55
- Confidence34
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
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.
- [2]
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.
- [3]
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.
- [4]
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.
- [5]
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.
- [6]
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.
- [7]
The Naked Capitalism post carries a September 2026 date in its URL path.
- [8]
From September 2026, the start of calendar 2027 is about four months away and the end of calendar 2028 is about twenty-seven months away.
- [9]
Naked Capitalism relays a Groundbreaker post, "The Teaser Period: Why the AI Boom Is Hitting a Reset Wall", which describes how the AI practice of using take-or-pay contracts for "frontier labs" is set to blow up across the industry in 2027 and 2028.
- [10]
Groundbreaker identifies as a key element of risky AI leverage leases that are not accounted for as debt at the AI sponsor.
- [11]
Naked Capitalism states that it is these "frontier labs" that contract for, lease and build data centres.
- [12]
The author recalls reading of Meta contracting for a data centre for what sounded like 20 years but was four back-to-back five-year leases.
- [13]
Naked Capitalism argues AI financing opacity is much greater than subprime's: the alpha players are public companies, but their AI activities are only one part of multiple lines of business, and their AI disclosure is inadequate.
- [14]
Naked Capitalism cites Ed Zitron having to write many multi-thousand-word posts to demonstrate that the main players ex Nvidia are showing paltry revenues against huge and growing capex.
- [15]
Naked Capitalism says the once very cash-rich Big Tech incumbents lack sufficient internal resources for the buildout and recognise that equity issuance will not provide enough, so they have relied and expect to keep relying on debt.
- [16]
If a twenty-year data centre commitment is written as four consecutive five-year leases, only the first five years are contractually committed, leaving fifteen years, or 75% of the nominal term, at the tenant's option.
Get this ledger inside ChatGPT. Ask about any of our stories and the answer brings its figure, each claim’s verdict and the sources. Free, no account.
Sources
1 independent publisher whose own reporting we read for this story.
- nakedcapitalism.comAI Off-Balance-Sheet Obligations Hit a Subprime-Like Reset Wall in 2027 and 2028
1 article · September 1, 2026
Topics and entities
Follow any of these and your For You feed starts watching them — no settings page required.