Part 10Who writes the checks
Against that growth sits the loss-making base of the chain: Steve Eisman, in an episode with Ed Zitron, cited OpenAI’s $20.9 billion loss in 2025 on $13.07 billion of revenue.
The Bubble Is in the DenominatorPerson
Steve Eisman appears in Part 4, Part 5, Part 6, Part 7, Part 8, Part 9, Part 10 of The Buildout. Part 4: AI Spending Has Met Its First Real Bill; Part 5: OpenAI and Anthropic Are Not the Same Business; Part 6: Power Doesn’t Depreciate. Its Premium Moves.; Part 7: The Fed Hiked. The Long End Still Climbed.; Part 8: AI Lenders Are Financing the End of Scarcity; Part 9: Habit Was the Moat. Agents Are Draining It.; Part 10: The Bubble Is in the Denominator. Argued in Part 4 (Voices that cross sides), Part 6 (Scarcity as a warning), Part 7 (Debt: 99% of GDP, up from 35%), Part 8 (Guarantees, not faith), Part 10 (Not the customers, yet).
By the numbers
Each figure carries its date and source in the story it comes from.
What Steve Eisman argued
Paraphrased and attributed, with the date and a link where one exists. DeepStack keeps no score of who was right; the dated tests do that work in the open.
Part 10 · Not the customers, yetSep 25, 2026
The visible, Nvidia-funded circular financing in AI (Nvidia investing in or lending to companies that then buy Nvidia chips) is out in the open and funded from Nvidia's own cash flow, and is not what disturbs the speaker; what disturbs him is the…
Part 10 · Not the customers, yetSep 25, 2026
Meta financed a $27 billion Louisiana data center last year through an SPV called Beignet Investor LLC, owning only 20% while Blue Owl and Pimco hold the rest; Meta is building it, has promised to rent it for 20 years, and bears the cost of delays…
Part 08 · Guarantees, not faithSep 9, 2026
Hyperscalers including Google, Microsoft, Amazon, and Meta have spent over a trillion dollars in capital expenditure on GPUs, largely to capture revenue from OpenAI and Anthropic, which they themselves continue to fund, creating a closed loop where…
AI Lenders Are Financing the End of Scarcity Who is on each side Source
Part 07 · Debt: 99% of GDP, up from 35%Sep 18, 2026
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.
The Fed Hiked. The Long End Still Climbed. Who is on each side Source
Part 07 · Debt: 99% of GDP, up from 35%Sep 21, 2026
Scott Bessent is in an impossible position because federal debt sits around forty trillion dollars, and no Treasury Secretary has the firepower to push rates down against that kind of weight; intervention only works when fundamentals are already…
The Fed Hiked. The Long End Still Climbed. Who is on each side Source
Part 06 · Scarcity as a warningSep 9, 2026
Data centers are proving more difficult and costly to build than expected, with gigawatt-scale projects running behind schedule, and every delay gives an already-unprofitable customer base more time to encounter financial strain.
Power Doesn’t Depreciate. Its Premium Moves. Who is on each side Source
Part 04 · Voices that cross sidesJul 24, 2026
If AI becomes cheaper and commoditized, spending hundreds of billions of dollars becomes much harder to justify economically.
AI Spending Has Met Its First Real Bill Who is on each side Source
Part 04 · Voices that cross sidesJul 27, 2026
The bullish case compares current AI infrastructure buildout to building the Las Vegas Strip in the 1950s, arguing that enormous upfront investment creates an eventually valuable economic ecosystem.
AI Spending Has Met Its First Real Bill Who is on each side Source
In The Buildout
One line per story, from the story itself.
Part 10Who writes the checks
Against that growth sits the loss-making base of the chain: Steve Eisman, in an episode with Ed Zitron, cited OpenAI’s $20.9 billion loss in 2025 on $13.07 billion of revenue.
The Bubble Is in the DenominatorPart 10The bill raises the rate
Steve Eisman calls 5% the Rubicon, while noting that oil and the 10-year are the two variables that matter and neither is predictable.
The Bubble Is in the DenominatorPart 09The first bill
A rate hike and an oil shock moved markets in the same weeks, and Steve Eisman argues that nothing but oil and interest rates matters right now.
Habit Was the Moat. Agents Are Draining It.Part 08Cash, or a loop
Steve Eisman estimates that about 70% of the AI revenue hyperscalers book comes directly or indirectly from those two labs.
AI Lenders Are Financing the End of ScarcityPart 07The calm is real
Treasury buybacks of long bonds, $4 billion and then $6 billion, held yields down for one day, Steve Eisman points out.
The Fed Hiked. The Long End Still Climbed.Part 07Three prices for 5%
George Noble, speaking with Steve Eisman, starts from roughly $40 trillion of federal debt and concludes that no Treasury secretary can talk rates down against that weight.
The Fed Hiked. The Long End Still Climbed.Part 06Scarcity has three faces
Steve Eisman, in a conversation with Ed Zitron, draws the darker inference: data centers are harder and costlier to build than planned, gigawatt projects are late, and every month of slippage gives customers who already lose money more time to stumble.
Power Doesn’t Depreciate. Its Premium Moves.Part 05Lede
Steve Eisman reported the same gap a fortnight later, with a brutal addendum: OpenAI’s costs rose about $3bn against roughly $1bn of new revenue.
OpenAI and Anthropic Are Not the Same BusinessPart 04Defense has a case
Steve Eisman, in The Real Eisman Playbook, relays the case that the industry is only in year three of an eight-to-ten-year buildout, comparable to building the Las Vegas Strip in the 1950s.
AI Spending Has Met Its First Real BillPart 04The tape picks winners
Steve Eisman writes that investors rewarded whoever spent the most for two years, then started asking who would earn a return.
AI Spending Has Met Its First Real BillAcross the DeepStack reading
763 claims and 143 texts mention Steve Eisman, as of Oct 8, 2026. A count of attention, not a judgment.
Analysis and opinion, not investment advice. What a person argued is reported, not rated; DeepStack shows no score, ranking or accuracy for anyone.