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

“If they keep their promises, by the end of 2025, Meta, Amazon, Microsoft, Google and Tesla will have spent over $560 billion in capital expenditures on AI in the last two years, all to make around $35 billion.”

The Hater's Guide To The AI Bubble, paragraph 33. The full statement is at the source.

Our reading, the sentence that was checked:

If they keep their promises, by end of 2025 these five companies will have spent over $560 billion in AI capex over two years to earn around $35 billion in AI revenue.

Assessment: Can’t be checked Deadline passed on 2026-10-29 Evidence as of

Where and when Ed Zitron wrote it

Where's Your Ed At, The Hater's Guide To The AI Bubble, paragraph 33.

Said
Source observed
live page, full text, public
Evidence as of
the cutoff for this assessment
Assessment recorded
assessment wyea-the-haters-gui-6e23fd-a1

We recorded 49 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 2025-07-21. This page does not claim the wording was captured then.

What the claim commits to

Kind
Conditional forecast
Deadline, as the speaker wrote it
“by the end of 2025”
Deadline state when assessed
Deadline passed
Deadline state on 2026-10-29
Deadline passed (the release’s reference date)

Conditions

  • if they keep their capex promises (antecedent, stated by the speaker)

From the speaker

  • If they keep their promises
  • by the end of 2025
  • Meta, Amazon, Microsoft, Google and Tesla
  • over $560 billion
  • capital expenditures on AI
  • in the last two years
  • around $35 billion

Our interpretation

  • The plain reading of the condition is that each named company fulfills its spending plan in place when the post appeared. Other companies overspending does not replace an individual company's unmet plan.
  • The two-year outcome period is calendar 2024–2025, following the heading and year-end deadline.
  • Making around $35 billion means aggregate AI revenue over those two years, rather than profit or financing.
  • The contextual calculation combines company spending plans with press and analyst revenue estimates, so its composite accounting basis is estimate.
  • Around has no numerical tolerance. I do not invent a tolerance that determines the result.
  • The single metric_scope records the compound claim; expenditure and revenue must still be tested separately.

Counts as supported if: The antecedent is met, and comparable evidence shows aggregate AI capital expenditures above USD 560 billion and approximately USD 35 billion of realized AI revenue across the five companies during calendar 2024–2025.

Counts as contradicted if: The antecedent is met, but comparable evidence establishes that either the expenditure threshold or the approximate revenue amount failed. Failure of the antecedent is not a failed forecast.

Retrospective: these criteria were written after the outcome was public.

Current assessment

Did the forecast come true?

Outcome: Can’t be checked

The statement is a recommendation, a value judgment, or too open to test. It is recorded, not scored.

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
Deadline passed
Assessment recorded
Policy version
2026-10-28.7

Rationale

The deadline elapsed, but the stated condition failed under the ordinary each-company reading. The filing-based analysis reports that Tesla spent $8.527 billion in 2025, below both its initial plan above $11 billion and its April revision above $10 billion. The conditional forecast therefore cannot be scored as a success or failure. This does not establish whether the five-company totals exceeded $560 billion or produced about $35 billion of AI revenue.

Limitations

  • The condition verdict relies on a traceable secondary source because primary filing reads failed.
  • Reading the condition as aggregate spending could change the adjudication.
  • Total capital spending is used only to test Tesla's spending promise, not as AI-only outcome evidence.

Evidence (1 item)

  • Goes against the claim: SEC-API.io,

    Tesla then spent $8,527m

    Why it matters here: The source traces Tesla's initial guidance above $11 billion, its April 2025 revision above $10 billion, and actual 2025 spending of $8.527 billion. Actual spending missed both prepublication amounts, so the each-company antecedent was not met.

    Publisher
    SEC-API.io
    Kind of source
    Secondary summary
    Measures
    Tesla, Total capital expenditures, USD millions, company reported, 2025-01-01 to 2025-12-31
    Describes events of
    Public from

What would settle it

Under the stated each-company contract, the failed antecedent ends adjudication. An aggregate-condition reading would require a new contract and aligned spending and AI-revenue records for all five companies.

Where it was said (1)

Said once in the sources this register covers.

  • : Where's Your Ed At, The Hater's Guide To The AI Bubble

    If they keep their promises, by the end of 2025, Meta, Amazon, Microsoft, Google and Tesla will have spent over $560 billion in capital expenditures on AI in the last two years, all to make around $35 billion.

    Published
    2025-07-21
    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-the-haters-gui-6e23fd-a1.