Who is on each side · Part 10 · The grid

Does the hardware hold its value?

16 voices across 3 questions on The Bubble Is in the Denominator: one row per voice, one column per question, the side each voice holds and the published claim with its date and a verified link where one exists.

37 claims · 16 voices · 3 columns

Download the CSV Back to who is on each side

The grid

VoiceDoes the hardware hold its value?Who writes the checks?What does 5% do to the multiple?
Michael Burry

A model, not a price

CoreWeave and Nvidia's efforts to show stamina in the pricing of their chips are simply at odds with the depreciation realities lenders actually face.

Source

Manufacturers such as Nvidia and hyperscalers such as Oracle and Google Cloud are offering residual value guarantees for chips not because they want to but because lenders require them, given that chip depreciation is a very real problem following…

Source

Not on this question

A long end nobody caps

Acting on the expected AI-boom-to-bust thesis, the creator bought more MetLife (MET) 2029 puts far out of the money.

Source

None of the hyperscalers' filings disclose how much of the reported AI demand and revenue growth is circular—originating on a company's own balance sheet and injected into customer companies that then leverage up to generate demand/revenue—and…

Source

Ren

A model, not a price

Architectures change faster than factories can retool, and with NVIDIA targeting up to 30% lower total cost of ownership with 800 VDC, a shift that large rewards whoever redesigns fastest, so today's winning box may not win in five years, which…

Source

The popular Jevons-paradox story that cheaper inference means bulk consumption and justifies simply buying the picks-and-shovels trade does not match Astra's actual pricing, since Astra's tokens got more expensive per unit (versus Sol, 2.5x on…

Source

Not on this questionNot on this question
Kakashii

A model, not a price

The creator calculates that Nvidia's plan to ship over 10 million chips of Blackwell and Rubin by the end of 2026 implies a total required power of roughly 17 to 23 GW, averaging around 20 GW, and questions whether enough data centers are under…

Source

The creator's long-standing thesis, which they say has gained support and validation over time, is that Blackwell GPUs had to be shipped to warehouses because there were not enough compatible datacenters (with the needed cooling and equipment) to…

Source

Not on this questionNot on this question
David George

Still renting at January prices

GPUs are already running hot even while the data indicates it's still very early in mature AI adoption and utilization.

Source

Since 2023, tech has been the earnings growth story, contributing about 76% of the S&P 500's total earnings growth in 2026 as of late August.

Source

Not on this questionNot on this question
JunkBondInvestor

Still renting at January prices

Contracted GPU lease rates and second-hand prices have held up even for chips launched 3 to 6 years ago, and compute is now about 60% of hyperscaler capex, so the scarce, short-lived asset is a growing share of what is being financed.

Source

The entire AI buildout has been constrained by scarcity of power, GPUs, transformers, interconnection, skilled labor and ready-to-use capacity, and this scarcity has propped up the economics of everything financed against it by holding up lease…

Source

Not on this questionNot on this question
Tae Kim

Still renting at January prices

The creator believes that if OpenAI were public, its stock would have gapped up 30% or more on hitting $70 billion in ARR, a blowout versus expectations on the level of Nvidia in May 2023, and that the figure proves his August report that OpenAI's…

Source

Axios reported, and the Financial Times later confirmed the same day, that OpenAI's annual recurring revenue is nearing $70 billion, with enterprise sales more than doubled since July according to sources familiar with the financials.

Source

Everyone, soon

OpenAI near $70B a year.

UndatedSource

Not on this question
Torsten SlokNot on this question

Not the customers, yet

Rates are rising for reasons beyond a strong economy: sticky inflation is lifting yields in the front end, record hyperscaler debt issuance is pressuring the belly, and fiscal worries are pushing up the long end.

Source

This disclosure pattern still leaves investors without a verifiable link between AI capex and the top line.

Source

A long end nobody caps

The tech silo is betting on a future in which demand for AI and tech services explodes, while the silos covering the companies that would pay for those services see a much more modest outlook, and both cannot be right at the same time.

Source

Because data centers, power generation, transmission and government deficits are all long-duration claims on savings, the competition for capital concentrates at the long end of the curve, which is why long rates have moved more than short rates.

Source

Michael SpencerNot on this question

Not the customers, yet

The creator reads declining frontier model usage as a sign that enterprises, startups and power users are becoming more price conscious even as token prices fall, citing Ramp's index showing effective price per million tokens down 41% to $0.68 from…

Source

The creator argues that if there really is around US$3.5 trillion of off-the-books exposure on top of capex, the U.S. is in serious trouble if and when the AI boom falters, referencing an August Wall Street Journal report that combined…

Source

Not on this question
Mia SilverioNot on this question

Not the customers, yet

Anthropic's expected ~$2 trillion IPO valuation is not justified by its numbers, given that it would need $1.2 trillion in annual revenue within 10 years (per Aswath Damodaran) to justify that valuation while the entire current AI products and…

Source

Anthropic's customer concentration is a risk for its $2 trillion valuation: nearly a quarter of its 2025 revenue came from two customers and 47% of sales ran through Amazon and Google, which is an acceptable problem for a small company but not for…

Source

Not on this question
Steve EismanNot on this question

Not the customers, yet

Nvidia's top five customers accounted for seventy percent of accounts receivable for the quarter, and some of those customers including OpenAI are not in especially healthy financial condition.

Bessent's announced program to buy $4 billion, later raised to $6 billion, in long term Treasuries worked for one day before rates marched higher, so he needs a much bigger bazooka or an alternative buyer.

Not on this question
Aurelion ResearchNot on this question

Everyone, soon

The customer base is broadening beyond a concentrated set of hyperscalers to enterprises, AI-native companies and cloud providers, with AI-related infrastructure commitments expected to exceed $3.1 trillion, making the next phase of demand less…

Source

The creator treats sharply rising third-party token forecasts — Dell moving from 1 quadrillion to 57 quadrillion tokens per month by end-2028, and a Goldman Sachs estimate roughly 10x Dell's revised number — as showing AI usage growing far faster…

Source

Not on this question
KrisNot on this question

Everyone, soon

AWS has had more demand than supply, with customers wanting more AWS capacity for AI than could be served despite large Nvidia orders and Amazon's own Trainium chips, and the creator considers this kind of capacity-constrained spending among the…

Source

Broadcom and Nvidia can both be winners because ASICs that Broadcom helps hyperscalers and AI labs build are complementary to Nvidia's GPUs rather than competitors, contrary to the framing on social media.

Source

Not on this question
Daniel RomeroNot on this question

Everyone, soon

He is already highly concentrated in AI, mostly in power plays, memory, and AMD, and believes that even if the AI trade stays strong, other segments could possibly perform better, which is why he has started diversifying into semicaps.

OpenAI's combined annualized revenue with Anthropic reached $105 billion (OpenAI $40 billion, Anthropic $65 billion) in July 2026, which is nowhere near the figure needed to support the modeled 2027 buildout, and this understates the true gap since…

Source

Not on this question
Michael HowellNot on this questionNot on this question

A growth signal near a peak

The recent rise in Treasury yields has been driven primarily by higher expected short-term interest rates rather than by expanding term premia, and there is a reasonable case that term premia have actually been declining.

Source

Evidence of falling term premia is already visible in the 10-year versus 5-year yield spread narrowing to 13bp from over 45bp at the start of 2026.

Source

TSCSNot on this questionNot on this question

A long end nobody caps

As of writing, the ten-year reached 5.04%, the highest since 2007, Brent is over $100 and the S&P is a few percent off its high, so the market priced the hike it asked for and the long end rose anyway.

Source

Most of this year's rise in the 10-year yield is the real yield rather than inflation expectations: from the 27 February low the 10-year rose 104bp, of which 96bp was real yield and 8bp breakeven, with the market's decade-ahead inflation guess…

Source

Vitaliy KatsenelsonNot on this questionNot on this question

A long end nobody caps

Bond investors are rejecting the government-set price for Treasuries because of large, unaddressed budget deficits that may grow rather than shrink over the next 10 years, and because budget deficits imply inflation; the creator says they…

Source

Bond investors are declining to purchase US Treasuries at 4.7% because the US runs large budget deficits that may worsen, and budget deficits lead to inflation paid back through cheaper dollars.

Source

Each claim is paraphrased and attributed, within fair use and clipped to 250 characters; the authors own their words. Cite the canonical address, https://deepstack.ltd/sides/the-bubble-is-in-the-denominator/grid/. The CSV carries the same rows under the same license line.

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.