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

“On a very rational level, nothing that large language models (LLMs) have done, do or will do in the future can or will ever bring in the more than $2 trillion (or more) in brand new revenue that will be required to make any of this worth it.”

The More You Buy, The More You Lose, paragraph 9.

Our reading:

LLMs will never bring in the more than $2 trillion in new revenue required to justify hyperscaler AI spending.

Assessment: Unresolved

What happened

Did the forecast come true?

Outcome: Unresolved

We checked, and the evidence so far doesn’t settle it.

Judged on a plain reading. They named no measure, so we used the reading a typical informed reader would take. It is spelled out under “How we judged it”.

Evidence up to . Checked .

Why

Reuters reported on September 30, 2026 that Anthropic's calendar-2025 cloud-marketplace sales totaled about $2.16 billion, or 47% of its annual revenue [e1]. That is one company's revenue through a distribution channel, not a reconciled total of realized incremental LLM revenue [e1]. It establishes neither a crossing of $2 trillion under a consistent accounting scope nor a permanent end to the relevant revenue-generating activity [e1]. This historical revenue figure cannot settle whether LLMs will ever generate more than $2 trillion in new revenue [e1].

Caveats

  • The evidence provides no complete lifetime total or reconciled aggregate with defined company coverage, baseline, accumulation period and accounting basis [e1].
  • Cloud distribution relationships require careful treatment to avoid double counting revenue [e1].
  • The reported sales do not establish what revenue would justify hyperscaler investment [e1].

Evidence (1 item)

  • Context only: Reuters, republished by Euronext,

    47%

    Why it matters: This reports one company's realized marketplace revenue and illustrates why aggregation must account for cloud distribution relationships. It neither measures industry-wide incremental revenue nor establishes a permanent ceiling; Reuters is used because the underlying confidential prospectus was not available in the readable record.

    Publisher
    Reuters, republished by Euronext
    Kind of source
    News report
    Measures
    Anthropic, Revenue from sales through cloud marketplaces, USD Billion dollars, company reported, 2025-01-01 to 2025-12-31
    About events on
    Published

How we judged it

Kind of claim
Forecast
Deadline
None given. We don’t add one.

Where we had to interpret

  • This is an unlimited negative forecast about incremental revenue attributable to LLMs.
  • The plain reading concerns realized new revenue, not valuation, funding, economic surplus, projected sales or annualized run rate.
  • No annual period is stated. Cumulative realized incremental revenue is the provisional reading, while annual versus cumulative remains a material ambiguity.
  • The context concerns returns to hyperscaler investment, but the wording does not clearly restrict whose revenue counts.
  • 'Required to make any of this worth it' is an investment judgment, not an independently specified return threshold.

Right if: No finite period of low revenue can establish that the threshold will never be crossed. Support would require a decisive permanent end to the relevant revenue-generating activity with a complete lifetime total at or below USD 2 trillion.

Wrong if: Reliable financial evidence establishes more than USD 2 trillion of realized incremental revenue attributable to LLMs under a consistent, explicitly defined scope.

We wrote this test after the outcome was known.

What would settle it

A dated, verified total exceeding $2 trillion in realized incremental LLM revenue, using defined company coverage, a baseline, a measurement period and consistent accounting without double counting, would contradict the forecast. Support would require a permanent end to the relevant activity and a complete lifetime total at or below $2 trillion.

We found 37 claims in this post. See them all.

Full record

Source and dates

Where's Your Ed At, The More You Buy, The More You Lose, paragraph 9.

Said
We read the source
live page, full text, public
Evidence up to
Checked

We read this wording on 2026-10-28. The post may have been edited after 2026-07-28.

Where it was said (1)

Said once in the posts we read.

  • : Where's Your Ed At, The More You Buy, The More You Lose

    On a very rational level, nothing that large language models (LLMs) have done, do or will do in the future can or will ever bring in the more than $2 trillion (or more) in brand new revenue that will be required to make any of this worth it.

    Published
    2026-07-28
    We read it
    , live page
    Access
    full text, public

History

Versions

  • Current: Unresolved. Evidence up to 2026-10-28.

What happened to this record

  1. PublishedBy us

    Published after both AI reviews and the final check passed.

  2. Held backBy us

    The final check failed: the write-up said more than the evidence showed.