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

“After all, OpenAI lost $5 billion (after $3.7 billion in revenue, too!), and Anthropic just under $3 billion in 2024.”

Deep Impact, paragraph 57. The full statement is at the source.

Our reading, the sentence that was checked:

In 2024 OpenAI lost $5 billion on $3.7 billion revenue and Anthropic lost just under $3 billion.

Assessment: Unresolved Evidence as of

Where and when Ed Zitron wrote it

Where's Your Ed At, Deep Impact, paragraph 57.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment wyea-deep-impact-cbda85-a1

We recorded 50 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 2025-01-29. 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 lost $5 billion
  • after $3.7 billion in revenue
  • Anthropic just under $3 billion in 2024

Our interpretation

  • Assess calendar-year 2024 results, not whether these figures appeared in earlier forecasts.
  • Read the figures as rounded amounts and as separate company figures, not a combined total.
  • The ordinary reading of 'lost' is a company-wide loss after revenue. However, the cited reporting mixes loss estimates and projected cash burn; it does not establish a common accounting definition.
  • The single metric_scope object describes the bundled claim. Each evidence item separately identifies its company and financial measure.

Counts as supported if: Completed-year evidence confirms all three amounts on the financial definitions underlying the claim, allowing ordinary rounding.

Counts as contradicted if: Completed-year evidence measuring the same financial quantity on the same accounting basis materially differs from a stated amount.

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

OpenAI's figures are broadly corroborated. Anthropic's result depends on which financial measure 'lost' denotes: its filing distinguishes operating loss from a substantially larger net loss, while the post linked a cash-burn projection. Those measures cannot be substituted for one another. The bundled claim therefore cannot receive a clean financial verdict on a matched basis.

Limitations

  • This does not mean that no 2024 financial results are available.
  • The numerical agreement for one accounting measure does not validate another.
  • OpenAI's completed-year figures were accessed through reporting, not the underlying statements.

Evidence (3 items)

  • Context only: CNBC,

    expects about $5 billion

    Why it matters here: These were forecasts, not final results. CNBC also reports that the loss estimate excluded equity-based compensation and other expenses.

    Publisher
    CNBC
    Kind of source
    News report
    Measures
    OpenAI, Projected annual revenue and loss excluding specified expenses, USD billions, estimate, 2024-01-01 to 2024-12-31
    Describes events of
    Public from
  • Context only: Ars Technica,

    net loss

    Why it matters here: The report broadly corroborates OpenAI's amounts, including $3.7 billion revenue elsewhere in the article. It describes audited records independently reviewed by the Financial Times, but does not reconcile them to the original adjusted estimate.

    Publisher
    Ars Technica
    Kind of source
    News report, audited
    Measures
    OpenAI, Reported annual net loss, USD billions, company reported, 2024-01-01 to 2024-12-31
    Describes events of
    Public from
  • Context only: Anthropic, PBC / SEC,

    consolidated financial and other data

    Why it matters here: The table reports 2024 net loss of $8,309 million and operating loss of $2,980 million. These different measures would produce different judgments; neither is a reconciliation to the linked cash-burn estimate.

    Publisher
    Anthropic, PBC / SEC
    Kind of source
    Regulatory filing, audited
    Measures
    Anthropic, Annual net loss, USD millions, gaap, 2024-01-01 to 2024-12-31
    Describes events of
    Public from

What would settle it

Identify the loss definitions underlying each quoted amount and reconcile the estimates to completed-year results, assessing the three financial quantities separately.

Where it was said (1)

Said once in the sources this register covers.

  • : Where's Your Ed At, Deep Impact

    After all, OpenAI lost $5 billion (after $3.7 billion in revenue, too!), and Anthropic just under $3 billion in 2024.

    Published
    2025-01-29
    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-deep-impact-cbda85-a1.