“AI generates a lot of output (which fits many people’s informal notion of productivity), but it hasn’t yielded much in the way of RoI for many companies (per studies from MIT, McKinsey, Bain, and many others), and hasn’t materially changed GDP.”
Our reading, the sentence that was checked:
AI has not materially changed GDP.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Slop, productivity, and why the AI-fueled world is going nowhere mighty fast, paragraph 1.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-slop-productivity-and-why-the-ai-e103e5-2-a2
We recorded 14 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 2026-06-07. 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
- hasn’t materially changed GDP
Our interpretation
- The ordinary reading concerns a meaningful effect on measured economic output, including investment and production. It is not limited to productivity gains from using AI.
- No country is named. US national accounts are a relevant test case, but cannot establish a worldwide result.
- For this ongoing macroeconomic observation, the target is the first quarter of 2026, the latest completed GDP quarter reportable before the post.
- Materiality means an economically meaningful contribution, without imposing an invented numerical cutoff.
Counts as supported if: Credible estimates isolating AI's contribution show a negligible effect on GDP in the relevant economy and target quarter.
Counts as contradicted if: Credible estimates isolating AI's contribution show an economically meaningful effect on GDP in the relevant economy and target quarter.
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 Federal Reserve's July 17, 2026 analysis finds meaningful contributions to US GDP growth from AI-related investment categories through Q1 2026, after adjusting for net exports, but those categories also include non-AI activity [e1]. The earlier estimate covers January–September 2025 and broader technology investment, so it does not isolate AI's contribution in Q1 2026 [e2]. Neither estimate establishes whether AI's own contribution in the target quarter was negligible or economically meaningful [e1; e2].
Limitations
- The estimates use broad technology categories rather than isolating AI activity.
- The target-quarter analysis concerns the United States and was published after the claim.
- The claim specifies neither geography nor a materiality threshold.
- The 2025 estimate does not measure the target quarter.
Evidence (2 items)
Context only: Board of Governors of the Federal Reserve System,
one approximation
Why it matters here: The authors find meaningful growth contributions from AI-related components through the first quarter of 2026. They also explain that these categories contain non-AI activity and cannot precisely identify AI's contribution.
- Publisher
- Board of Governors of the Federal Reserve System
- Kind of source
- Independent measurement
- Describes events of
- Public from
Context only: Luisa Carpinelli, Filippo Natoli and Marco Taboga / arXiv,
20%
Why it matters here: The paper estimates a meaningful contribution from technology investment after subtracting technology imports. It concerns 2025 and broader technology activity, so it cannot directly settle the selected 2026 quarter or isolate AI.
- Publisher
- Luisa Carpinelli, Filippo Natoli and Marco Taboga / arXiv
- Kind of source
- Preprint, not peer reviewed
- Describes events of
- Public from
What would settle it
A credible estimate isolating AI's net contribution to GDP in Q1 2026 for a defined relevant economy, accounting for imports and non-AI activity, with uncertainty narrow enough to distinguish negligible from economically meaningful effects.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Slop, productivity, and why the AI-fueled world is going nowhere mighty fast
AI generates a lot of output (which fits many people’s informal notion of productivity), but it hasn’t yielded much in the way of RoI for many companies (per studies from MIT, McKinsey, Bain, and many others), and hasn’t materially changed GDP.
- Where
- paragraph 1
- Published
- 2026-06-07
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-slop-productivity-and-why-the-ai-e103e5-2-a2: 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-slop-productivity-and-why-the-ai-e103e5-2-a2.