Pundit ClaimsAI claims by Gary Marcus and Ed Zitron, with the evidence

“While I only had half the fourth quarter’s numbers, I estimate that OpenAI’s annualized spend hit over $18.5 billion — or around $4.6 billion a quarter — by the end of the year, and that’s not accounting for things like Sora 2 or the launch of its Codex coding platform.”

Am I Meant To Be Impressed?, paragraph 33. The full statement is at the source.

Our reading, the sentence that was checked:

He estimates, from only half of Q4's numbers, that OpenAI's annualized Azure inference spend hit over $18.5 billion (around $4.6 billion a quarter) by the end of 2025, not counting things like Sora 2 or the Codex launch.

Assessment: Unresolved Evidence as of

Where and when Ed Zitron wrote it

Where's Your Ed At, Am I Meant To Be Impressed?, paragraph 33.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment wyea-am-i-meant-to-be-impressed-6891ac-a1

We recorded 45 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 2026-05-06. 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)

Conditions

  • estimate based on half of Q4 data (qualifier, stated by the speaker)
  • not accounting for Sora 2 or the Codex launch (qualifier, stated by the speaker)

From the speaker

  • only had half the fourth quarter’s numbers
  • I estimate
  • annualized spend hit over $18.5 billion
  • around $4.6 billion a quarter
  • by the end of the year
  • not accounting for things like Sora 2 or the launch of its Codex coding platform

Our interpretation

  • The surrounding text identifies the year as calendar 2025 and the spending as Azure inference spending.
  • Assess the spending pace reached by the end of December 2025, not total spending during 2025.
  • Use October–December 2025 as the target period because the estimate extrapolates fourth-quarter data.
  • Treat the product references as exclusions from the estimate, while flagging that their accounting boundaries are unspecified.
  • This is a retrospective estimate, not a conditional forecast.

Counts as supported if: Verified late-2025 Azure inference billing, using the stated exclusions, establishes an annualized spending pace above $18.5 billion by year-end.

Counts as contradicted if: Comparable late-2025 billing establishes that the annualized spending pace did not exceed $18.5 billion by year-end.

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 claim concerns a spending pace reached by the end of 2025. The located annual payment reporting covers a different period and includes training and other costs. It cannot establish or disprove the $18.5 billion inference run rate. No independently verified late-year billing with the stated exclusions was located.

Limitations

  • The contextual source reports audited statements; those statements were not independently inspected.
  • A full-year total cannot substitute for a year-end annualized rate.

Evidence (1 item)

  • Context only: Tech Times,

    The $17.2 billion OpenAI paid Microsoft in 2025 covered both training compute and inference compute.

    Why it matters here: This is secondary reporting on full-year payments covering multiple activities. It neither supports nor contradicts a late-year annualized inference spending threshold.

    Publisher
    Tech Times
    Kind of source
    Secondary summary, audited
    Measures
    OpenAI, Total annual payments to Microsoft, USD billions of USD, estimate, 2025-01-01 to 2025-12-31
    Describes events of
    Public from

What would settle it

Verified October–December 2025 Azure inference bills, including the December pace, with the annualization method and excluded product costs identified.

Where it was said (1)

Said once in the sources this register covers.

  • : Where's Your Ed At, Am I Meant To Be Impressed?

    While I only had half the fourth quarter’s numbers, I estimate that OpenAI’s annualized spend hit over $18.5 billion — or around $4.6 billion a quarter — by the end of the year, and that’s not accounting for things like Sora 2 or the launch of its Codex coding platform.

    Published
    2026-05-06
    Source observed
    , live page
    Access
    full text, public

History

Assessment versions

Recorded events

  1. Assessment publishedBy this site

    First assessment published after both reviews and the final-text check passed.

    About assessment wyea-am-i-meant-to-be-impressed-6891ac-a1.