“Some have been mighty confident about inference being profitable (due to a $7.5 billion cost of revenue on $13.07 billion in revenue), but overlooked my reporting from last year verified by the Financial Times showed OpenAI spent $8.67 billion on inference in the first nine months of 2025.”
Our reading, the sentence that was checked:
OpenAI spent $8.67 billion on inference in the first nine months of 2025, undermining claims that its inference is profitable.
Assessment: Unresolved Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, Cargo Culture, paragraph 95.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-cargo-culture-874112-a1
We recorded 23 claims from this post. See every claim from this post.
The wording above is the version this site observed on 2026-10-28. The source may have been edited after 2026-06-23. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Observation
- Deadline, as the speaker wrote it
- None stated. This site does not add one.
- Deadline state when assessed
- No horizon
- Deadline state on 2026-10-29
- No horizon (the release’s reference date)
From the speaker
- OpenAI spent $8.67 billion on inference
- the first nine months of 2025
- verified by the Financial Times
- inference being profitable
Our interpretation
- The spending period is January 1 through September 30, 2025, in calendar years.
- The accounting basis is estimate because the claim relies on press reporting of private records rather than an identified accounting standard.
- The central numerical assertion requires the reported $8.67 billion amount and matching inference scope, not a rounded total-compute figure.
- The profitability implication requires comparable revenue and costs for the same period and customer scope. Nine-month inference spending cannot simply be compared with annual revenue or annual cost of revenue.
- The claim that the Financial Times verified the reporting is separate from other publications repeating Zitron's figure.
Counts as supported if: Independent records or genuinely corroborating reporting establish $8.67 billion of OpenAI inference expenditure during January–September 2025. The profitability implication additionally requires matching revenue and a reconciliation of inference expenditure with accounting cost categories.
Counts as contradicted if: Comparable records establish a materially different nine-month inference amount or show that the reported figure includes other costs. Comparable positive inference economics would contradict the profitability implication without necessarily contradicting the spending figure.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
Outcome: Unresolved
The record was checked, and the evidence available by the cutoff does not settle it.
Scored on a plain reading. The speaker named no measure for this claim, so it was judged on the reading an informed reader would take, stated below under our interpretation. Both reviews had to find that reading fair.
- Evidence as of
- Deadline state when assessed
- No horizon
- Assessment recorded
- Policy version
- 2026-10-28.7
Rationale
Independent confirmation of the exact total was not obtained. The accessible repetition is contextual, and the original Financial Times report could not be read. Neither a small discrepancy in a rounded report nor a comparison with full-year accounting figures settles the nine-month expenditure claim. Its profitability implication also requires matching revenue, usage scope and cost definitions.
Limitations
- Inaccessible reporting is an evidence gap, not evidence that the claim is false.
- Repeated reporting is not independent corroboration.
- No numerical calculation was used to bridge incompatible periods or cost definitions.
Evidence (1 item)
Context only: TechCrunch,
roughly $8.65 billion
Why it matters here: Repeats Zitron; no independent verification.
- Publisher
- TechCrunch
- Kind of source
- News report
- Measures
- OpenAI, inference expenditure, USD billions, estimate, 2025-01-01 to 2025-09-30
- Describes events of
- Public from
What would settle it
Readable independently verified records for January–September 2025, confirmation of the Financial Times' verification scope, and a reconciliation with corresponding revenue and paid/free inference costs.
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, Cargo Culture
Some have been mighty confident about inference being profitable (due to a $7.5 billion cost of revenue on $13.07 billion in revenue), but overlooked my reporting from last year verified by the Financial Times showed OpenAI spent $8.67 billion on inference in the first nine months of 2025.
- Where
- paragraph 95
- Published
- 2026-06-23
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-cargo-culture-874112-a1: Current. Outcome: Unresolved. Evidence as of 2026-10-28. Public date not recorded.
Recorded events
Assessment publishedBy this site
First assessment published after both reviews and the final-text check passed.