Who is on each side · Part 17

How much of the AI buildout is debt the balance sheets do not show yet, and who carries it if a tenant walks away?

20 voices who disagree about The Guarantee Has No Date. Each voice is attributed and paraphrased, dated where the date is known, with a link where one exists.

37 claims · 20 voices · 1 question · 3 sides · 8 voices cross sides

A claim is one published sentence by one voice on one question, the further questions and the voices that cross sides included; a voice with three claims counts three claims and one voice. The grid lists the same claims, one row per voice.

The DeepStack callSplit

Leases pile up faster than they start, Alphabet's backstops cost more to carry, and Oracle's cash leans on its customers' prepayments.

The risk off the books is still rising. · Conviction Moderate (3/5)

Our Call takes neither side alone.

Download the memo (PDF) · 345 KB · 12 pages

Three voices per side

Where the argument stands.

DeepStack’s pick of the voices that carry each side, in its own words, and the case against each side, chosen by hand with the reason given. Every voice the record holds is listed below; the grid and the CSV carry them all.

3 of 6 voices

The lease is already debt

  1. Michael Burry

    Lenders would not hold the residual value risk of Meta's Louisiana venture without protection, so Meta guaranteed up to $28 billion of it, a sign that the parties closest to the asset doubt its value will hold.

  2. Michael Burry

    A purpose-built data center has no deep resale or sublease market, unlike an office, so capacity nobody needs gets written down, as Meta's 2022 charges on offices and data centers showed.

  3. Scott Galloway

    Investors are paying too little attention to the obligations off the balance sheet that sit under Big Tech's AI infrastructure spending.

3 of 12 voices

The cash flows cover it

  1. Harley Bassman

    Most hyperscalers own cash businesses that can cover the cost of their borrowing; short of a breakup, the debt gets repaid even if shareholders suffer.

  2. Harris Associates Oakmark

    Oakmark holds bonds of Meta, Alphabet, Amazon and Oracle for their wider spreads and lower leverage than the broader investment-grade market.

  3. Gaetano

    What matters for the hyperscalers is how much earnings growth each dollar of capital buys, not the year capital spending peaks.

RVG
Residual value guarantee, a promise to pay the shortfall if a leased building is worth less than an agreed amount when the lease ends.
VIE
Variable interest entity, a vehicle a company may control without owning a majority, which decides whether it must consolidate it.
NAIC
National Association of Insurance Commissioners, the body of state insurance regulators that reviews the ratings insurers rely on.
Every voice, as the record holds it · 37 claims · 20 voices · 1 question

7 claims set aside by the editor stay in the grid and the CSV.

3 voices

The lease is already debt

  1. Michael Burry

    Meta's data center JV structure shows that the parties closest to the assets do not believe the value will hold: lenders would not bear residual value risk without protection, so Meta issued a residual value guarantee of up to $28 billion on…

  2. Michael Burry

    Because purpose-built data centers with specialized power, cooling and racks lack a deep resale or sublease market (unlike office space), when data-center capacity is not needed it will be written down, as illustrated by Meta's 2022 office and…

  3. Scott Galloway

    Investors are not paying sufficient attention to off-balance-sheet obligations that underlie Big Tech's artificial intelligence infrastructure spending.

10 voices

The cash flows cover it

  1. Harley Bassman

    Anthropic itself is not borrowing the money; it is the hyperscalers (he names Meta, Google, Amazon, Microsoft, Oracle) who are borrowing to use Anthropic's products, so if Anthropic were to go bust, that would be an equity problem rather than a…

  2. Harley Bassman

    He thinks higher rates could result from hyperscaler borrowing, but most hyperscalers have underlying cash-generating businesses that could cover the cost of the debt, and unless there is a major breakup of these companies, they should be able to…

  3. Haim Zaltzman

    The presence of guarantees and credit support in the market means that clearing the market, particularly at this size and speed, probably requires it, just as wrappers, insurance or guarantees get car and airplane deals done faster and at better…

  4. Weitz Investment ManagementSecond-quarter 2026 letter

    Microsoft is viewed as a great business with strong cash flows, intelligent capital allocation, and massive intellectual property that existed before the AI boom, and is believed to be reasonably priced with the financial strength to withstand…

  5. Quanta 72

    The current AI-related selloff is not evidence that AI itself has failed, but a moment where investors are demanding proof that the infrastructure buildout converts into proportional revenue.

  6. Gaetano

    What matters for hyperscaler investment is the relationship between earnings growth and the capital required to produce it rather than when capex peaks; Meta in 2023 illustrates the cash-flow math, with operating cash flow going from $50.5B to…

  7. Gaetano

    The hyperscaler thesis is that AI makes businesses they already own more valuable, that owning the customer relationship makes them less dependent on predicting which model wins, and that broad agent usage creates recurring compute demand, while…

  8. Oguz Erkan

    Neocloud contracts are pay-or-take and leave Meta little flexibility once committed, while internal data center deployment can be delayed or cancelled; even in the worst case committed capacity is unlikely to exceed internal consumption long term…

  9. Oguz Erkan

    If AI compute demand holds and Meta monetizes roughly 5 GW of projected 2030 excess capacity at an assumed blended $20 billion per GW, Oguz Erkan estimates $100 billion incremental revenue and $20-$30 billion net income at assumed 20-30% net…

  10. Harris Associates OakmarkThird-quarter 2026 letter

    The portfolio is positioned in bonds of highly profitable hyperscaler technology companies (Meta, Alphabet, Amazon, Oracle, SpaceX), taking advantage of wider spreads and lower leverage compared to the broader investment-grade market.

8 voices

Voices that cross sides

  1. JunkBondInvestor

    Because data center project-finance paper is quoted off the tenant's curve plus a premium for structure, tenor and complexity, it widens mechanically when the tenant's curve widens on supply even if nothing about the project has changed; the…

  2. JunkBondInvestor

    The line between AI borrowers who can keep paying up and borrowers who are squeezed follows cash flow and financing options more than sector: a borrower with a strategic counterparty (like Meta or Alphabet), a public stock, and lenders competing…

  3. Torsten Slok

    A cycle that builds at 0.85 percentage points a year can unwind at a similar pace, and that pace of unwind, rather than the buildout itself, is the macro risk if AI demand disappoints.

  4. Torsten Slok

    Hyperscaler credit spreads are widening as the AI buildout is increasingly funded with debt rather than organic free cash flow, and as issuance surges the question is whether the all-in yield climbs to a level where the marginal data-center dollar…

  5. Dylan Patel

    Because all compute has to be financed and most compute is contracted well before it is built, players like Meta, Microsoft, Amazon and SpaceX that can build without first finding a customer control the situation, whereas a smaller cloud must…

  6. Dylan Patel

    He thinks Meta, trading at roughly $1.5 trillion, is silly and worth way more than that in a logical sense, given its cash flows, the infrastructure it is hoarding, and the compute it will be able to sell at high dollar-per-watt rates, either via…

  7. Kris

    Kris repeats a long-held view that one should not expect the AI bubble to burst simply because it is a bubble; technological revolutions typically skip efficiency first and overspend, and the current data-center build-out assumes linear capacity…

  8. Kris

    Kris argues that the widespread professional view of an AI/chip bubble is wrong, because infrastructure companies have multi-year supply contracts and chipmakers like Micron and Nvidia cannot currently produce enough chips to satisfy demand.

Notes

Not a disagreement.

Where two voices only seem to differ, or where the thread runs back to an earlier Part.

Where they cross

Who answers whom.

The specific points where one voice meets another: the same evidence read two ways, or the same mechanism with a different sign.

What would settle it

The dated tests.

The same tests the story set, on the Docket; results land on the Results page.

  1. The year-end filings: whether the leases not yet begun at the five pass $1.2 trillion as printed at December 31, 2026, from $1,118.5 billion in mid-2026.

    Part 17: The Guarantee Has No Date Pending

  2. Alphabet's annual report: whether the liability on its data center credit derivatives passes 1.86% of notional at December 31, 2026, its level at June 30, 2026.

    Part 17: The Guarantee Has No Date Pending

  3. Oracle's second quarter: whether customer prepayments with a financing component pass 40% of operating cash for the six months to November 30, from 49.2% in the quarter to August 31, 2026.

    Part 17: The Guarantee Has No Date Pending

  4. Meta's annual report for 2026: whether it consolidates Hyperion or records a liability above zero for its residual value guarantees, neither at June 30, 2026.

    Part 17: The Guarantee Has No Date Pending

Analysis and opinion, not investment advice. Voices are paraphrased from public writing and attributed by name; DeepStack shows no score, ranking or accuracy for any person.