“There are standard ways to handle annualized revenue, and it's clear they're not following them.”
Our reading, the sentence that was checked:
OpenAI is not following standard methods for calculating annualized revenue.
Assessment: Unresolved Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, AI Is A Money Trap, paragraph 8.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-ai-is-a-money-trap-06cd69-a1
We recorded 38 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 2025-08-06. 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
- standard ways to handle annualized revenue
- they're not following them
- $12 billion annualized revenue
- $13 billion annualized revenue
Our interpretation
- The claim concerns OpenAI's annualization methods behind the late-July and August 1, 2025 reports.
- The plain reading is that OpenAI departed from ordinary annualization of a specified recent revenue period. A rolling period is not inherently nonstandard.
- The reporting episode spans July through August 1. The underlying measurement periods are unspecified and must be established separately.
- Different publication dates and figures do not alone establish inconsistent calculation methods.
Counts as supported if: Disclosures identify the underlying revenue, measurement periods and calculations, and show that the reported figures did not follow an ordinary, consistently applied annualization method.
Counts as contradicted if: Disclosures reconcile both reported figures to ordinary annualization methods, including their measurement dates and revenue coverage.
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
The evidence does not establish that OpenAI departed from standard annualization. An earlier report describes an ordinary calculation, and a later report supplies July monthly revenue. Neither reconciles the two disputed snapshots. Different figures published close together are insufficient to prove a methodological violation.
Limitations
- The available methodological descriptions are news reports rather than underlying company records.
- The earlier methodological account falls outside the target period.
Evidence (2 items)
Context only: eWeek,
$1 billion
Why it matters here: This later account supplies a monthly figure for July. It does not identify the inputs behind both earlier annualized figures, and realized monthly revenue is a different metric.
- Publisher
- eWeek
- Kind of source
- News report
- Measures
- OpenAI, monthly revenue, USD billions, company reported, 2025-07-01 to 2025-07-31
- Describes events of
- Public from
Context only: The Decoder,
API sales
Why it matters here: The paragraph describes a spokesperson-attributed monthly-revenue-times-12 calculation and identifies exclusions. This weighs against assuming no ordinary method existed, but concerns June rather than the disputed reporting episode.
- Publisher
- The Decoder
- Kind of source
- News report
- Measures
- OpenAI, annualized revenue run rate, USD billions per year, company reported, ? to ?
- Describes events of
- Public from
What would settle it
Records identifying the revenue inputs, measurement dates and calculations behind both the $12 billion and $13 billion reports.
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, AI Is A Money Trap
There are standard ways to handle annualized revenue, and it's clear they're not following them.
- Where
- paragraph 8
- Published
- 2025-08-06
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-ai-is-a-money-trap-06cd69-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.