“None of this should be surprising; I have been pointing out the errors since the week ChatGPT was introduced in 2022, and study after study after study (I will go into this more in a later newsletter) has shown that most companies don’t seen a significant return on their AI investment.”
Our reading, the sentence that was checked:
Multiple studies have shown that most companies do not see a significant return on their AI investment.
Assessment: Supported Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, If enough other companies report the same, the bubble pops. 🫧, paragraph 14.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-if-enough-other-companies-report-d8e731-a1
We recorded 4 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 2026-05-26. 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
- study after study after study
- most companies
- significant return
- AI investment
Our interpretation
- The assessed proposition concerns published study findings, not the separate autobiographical statement about when Marcus began discussing errors.
- Most means more than half. Significant means material realized business or financial benefit, not statistical significance.
- The retrospective phrase 'has shown' covers studies available by May 26, 2026. No starting date for those studies is supplied.
- Multiple independent studies can support the claim even if narrower studies find better results. Survey findings do not establish an audited return for every company.
Counts as supported if: At least two studies available by the post date find that more than half of surveyed companies lack material realized benefits from AI investment.
Counts as contradicted if: The purported supporting studies do not find a majority lacking material returns, or their relevant findings instead show a majority achieving such returns.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Was it true for the period described?
Outcome: Supported
The dated evidence matches what the claim committed to, under the criteria frozen before grading.
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
Two independent survey programs available before the post found majorities lacking material AI benefits: PwC reported 56%, and BCG reported 60%. This supports the claim about multiple studies. It does not establish that every study agrees, that companies receive no benefits whatsoever, or that the measured shortfalls will persist.
Limitations
- Results rely on executive survey responses and differing definitions.
- The narrower finance-function study reported better results.
- The autobiographical portion of the sentence is outside the supplied normalized proposition.
Evidence (3 items)
Supports the claim: PwC,
no significant financial benefit
Why it matters here: PwC's survey of 4,454 CEOs directly reports a majority without significant financial benefits. Fieldwork occurred from September through November 2025.
- Publisher
- PwC
- Kind of source
- Independent measurement
- Describes events of
- Public from
Supports the claim: Boston Consulting Group,
minimal revenue
Why it matters here: BCG's 2025 study reports another majority with little material value despite investment. This independently matches the ordinary meaning of the claim.
- Publisher
- Boston Consulting Group
- Kind of source
- Independent measurement
- Describes events of
- Public from
Context only: Boston Consulting Group,
10%
Why it matters here: This study found positive median returns among finance functions and limited gains for about one-third. Its narrower population and different measurement do not overturn the two broader findings, but caution against claiming uniform results.
- Publisher
- Boston Consulting Group
- Kind of source
- Independent measurement
- Describes events of
- Public from
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, If enough other companies report the same, the bubble pops. 🫧
None of this should be surprising; I have been pointing out the errors since the week ChatGPT was introduced in 2022, and study after study after study (I will go into this more in a later newsletter) has shown that most companies don’t seen a significant return on their AI investment.
- Where
- paragraph 14
- Published
- 2026-05-26
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-if-enough-other-companies-report-d8e731-a1: Current. Outcome: Supported. 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.
About assessment marcus-if-enough-other-companies-report-d8e731-a1.