“Corporate adoption is far more limited than most people expected, and total profits across all companies (except of course hardware companies like NVidia, which profits from chips rather than models) have been modest at best.”
Our reading, the sentence that was checked:
Corporate adoption of AI is far more limited than most people expected, and total profits across all companies, except hardware companies like Nvidia that profit from chips rather than models, have been modest at best.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, 25 AI Predictions for 2025, from Marcus on AI, paragraph 4.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-25-ai-predictions-for-2025-from-marcus-b9a0eb-a1
We recorded 37 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 2025-01-01. 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
- except hardware companies like Nvidia, which profit from chips rather than models (qualifier, stated by the speaker)
- total profits across all companies (scope, stated by the speaker)
From the speaker
- Corporate adoption
- far more limited than most people expected
- total profits across all companies
- except of course hardware companies like NVidia
- modest at best
Our interpretation
- The surrounding review of 2024 makes calendar 2024 the target period.
- The ordinary reading concerns corporate adoption of generative AI and aggregate profits from the generative-AI business, excluding hardware suppliers.
- The adoption comparison requires earlier expectations and subsequent adoption measured for comparable populations. Low adoption alone does not establish disappointed expectations.
- Profits means earnings after expenses. The company universe, accounting basis, currency and threshold for modest are unspecified.
Counts as supported if: Comparable expectation and adoption evidence shows a substantial shortfall in 2024, and comparable financial records show small or negative aggregate profits across the specified industry excluding hardware suppliers.
Counts as contradicted if: Comparable evidence shows adoption substantially met or exceeded earlier expectations, or a sufficiently complete industry profit total materially exceeds an established meaning of modest.
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 records show limited but growing broad AI adoption and a substantial projected loss at OpenAI. Neither establishes the compound claim. Adoption levels alone cannot establish a shortfall against unspecified expectations, and one company's loss forecast cannot establish total industry profits. The unspecified accounting basis also prevents a financial verdict.
Limitations
- US broad-AI adoption is only context for corporate generative-AI adoption.
- The financial evidence is a forecast for one company, with an explicit expense exclusion.
- Changing the company universe or meaning of adoption could change the answer.
Evidence (2 items)
Context only: US Census Bureau,
includes generative AI.
Why it matters here: The analysis reports low but rising business AI use through August 2024. Its broader technology definition and lack of a matched measure of most people's earlier expectations prevent it from settling Marcus's comparison.
- Publisher
- US Census Bureau
- Kind of source
- Official statistics
- Describes events of
- Public from
Context only: Fortune,
a loss of $5 billion
Why it matters here: This is a September forecast of OpenAI's full-year loss, excluding equity compensation. It is neither a realized industry total nor evidence on a common accounting basis; a news report is used because the underlying financial documents were not available in the reviewed sources.
- Publisher
- Fortune
- Kind of source
- News report
- Measures
- OpenAI, Projected full-year loss excluding equity-based compensation, USD billions, estimate, 2024-01-01 to 2024-12-31
- Describes events of
- Public from
What would settle it
Comparable earlier expectations and 2024 adoption results, plus a defined industry universe, profit threshold and accounting basis supported by sufficiently complete financial records.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, 25 AI Predictions for 2025, from Marcus on AI
Corporate adoption is far more limited than most people expected, and total profits across all companies (except of course hardware companies like NVidia, which profits from chips rather than models) have been modest at best.
- Where
- paragraph 4
- Published
- 2025-01-01
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-25-ai-predictions-for-2025-from-marcus-b9a0eb-a1: Current. Outcome: Unresolved. 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-25-ai-predictions-for-2025-from-marcus-b9a0eb-a1.