Who is on each side · Part 05
What does a frontier lab sell: a commodity, or a premium?
8 investors who disagree about OpenAI and Anthropic Are Not the Same Business. Each voice is attributed and paraphrased, dated where the date is known, with a link where one exists.
The DeepStack callMixed
Stop pricing OpenAI and Anthropic as one bet. One revenue line holds under pressure; the other has to be bought.
4 voices
OpenAI: commoditized
OpenAI grew revenue only about 18% quarter over quarter in Q2 2026 (from $5.7B to $6.7B), while Anthropic grew 142% quarter over quarter to $11.6B, showing OpenAI is slowing at the worst possible time just before its IPO.
Anthropic reported preliminary Q2 revenue of $11.5 billion and a projected adjusted operating profit of $559 million, and by the time it goes public it will be comfortably profitable, unlike SpaceX which spent $18.37 billion in capex against just…
Chinese open-weight models climbed from under 2% of token traffic in late 2024 to a majority of usage among top models in 2026, driven by the revealed preference for models running on infrastructure the user controls.
In June 2026, the Commerce Department suspended access to Anthropic's Fable 5 and Mythos 5 models for all non-US persons, invoking export-control authority, with practical effect of a global suspension that lasted under three weeks before…
4 voices
Anthropic: not yet
Training runs account for only 10 to 23 percent of AI labs' total compute costs, with the remainder tied to tacit knowledge in data curation, infrastructure, and learning from failed experiments.
The demand curve for AI capabilities is heterogeneous: commodity intelligence will become price-competitive across many applications, while convex-payoff domains like finance and frontier research can sustain premium pricing for marginal capability…
Anthropic's ARR grew from approximately $700 million in August 2024 to its current level, a roughly 93x increase in about two years.
Cognition's Devin achieved a $1 billion annualized revenue run rate and a $40 billion valuation in under two years, making it exceptional among AI startups for this pace of revenue growth.
6 voices
Voices that cross sides
As Devin and similar tools scale, they drive increased token usage of Anthropic's models, creating a compounding benefit to Anthropic.
Europe's dream of sovereign AI leadership is fading because Mistral, despite raising 3.5 billion dollars at a 21 billion euro valuation, has been unable to compete with the United States or China in open-source AI models.
The creator cites Artificial Analysis benchmark results as evidence of rapid open-weight model improvement: Kimi K3 scored 57 on its Intelligence Index (13 points above Kimi K2.6, per the July 17 evaluation), and DeepSeek V4 Flash 0731 scored 10…
The traditional split of using a strongest frontier model (Opus) for reasoning/judgment and a faster cheaper model (Sonnet) for execution has become less clearly justified because the capability gap between 'thinking' and 'executing' models has…
Because OpenAI and Anthropic pay their bills with venture funding of which Big Tech supplies roughly 40%, revenue Big Tech books from them is partly recycled from itself and not real growth.
If Big Tech depends heavily on OpenAI and Anthropic for revenue growth, that growth is unsustainable because both customers are massively unprofitable and may not survive.
Notes
Not a disagreement.
Where two voices only seem to differ, or where the thread runs back to an earlier Part.
The number three bears collided with
SemiAnalysis: on a current cluster the labs can earn over $100B per gigawatt-year against about $12B of rental cost. Daniel Romero: a GPU earns most of its cash in year one while the books depreciate it straight. Steve Eisman: there is no dataset here like the subprime delinquency data; he waits for the two labs to open their books.
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.
Ed Elson qualifies Michael Spencer on condition
Ed Elson qualifies Michael Spencer on condition.
Michael Spencer contradicts Ed Elson on premise
Michael Spencer contradicts Ed Elson on premise.
Michael Spencer qualifies Wyndo on condition
Michael Spencer qualifies Wyndo on condition.
What would settle it
The dated tests.
The same tests the story set, on the Docket; results land on the Results page.
- Next prospectus
An audited listing reveals margins, customer concentration and investor-linked revenue; clean disclosure would support separation, weak economics would reunite the risks.
Part 05: OpenAI and Anthropic Are Not the Same Business Pending
- Next disclosures
Useful-life assumptions show whether first-year GPU margins survive across the cluster; Romero’s accounting would gain force if they do not.
Part 05: OpenAI and Anthropic Are Not the Same Business Pending
- DeepSeek repricing
A quiet reversal would weaken Erkan’s demand evidence; sustained higher prices would support the view that demand remains structurally strong.
Part 05: OpenAI and Anthropic Are Not the Same Business Pending
- 2028
Return on invested capital should be visible by Romero’s deadline; failure would turn today’s extraordinary economics into a first-year illusion.
Part 05: OpenAI and Anthropic Are Not the Same Business Pending
- A second revocation
Another model suspension would turn Massif’s signal into procurement policy, showing that open weights are changing buying behavior.
Part 05: OpenAI and Anthropic Are Not the Same Business 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.