“Hundreds of billions of dollars were invested on the assumption that I was wrong, largely to the exclusion of investment in other approaches.”
Our reading, the sentence that was checked:
Hundreds of billions of dollars went into LLM scaling on the assumption that scaling would keep working, and alternative approaches got little investment.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, Satya Nadella and the three stages of scientific truth, paragraph 24.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-satya-nadella-and-the-three-stages-71fb79-a2
We recorded 6 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 2024-11-23. 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
- Hundreds of billions of dollars were invested
- on the assumption that I was wrong
- largely to the exclusion of investment in other approaches
- Almost a half decade
Our interpretation
- Plain reading: from about 2020 to November 2024, AI investment in the hundreds of billions of dollars went mainly into scaling LLMs, on the belief that scaling would keep working. Comparatively little went to alternative approaches such as neurosymbolic AI.
- 'On the assumption that I was wrong' is read as 'on the assumption that scaling would keep delivering gains', since the investors' view of Marcus personally is not observable.
- Three parts must hold: the size (hundreds of billions), the rationale (a belief in scaling), and the concentration (largely excluding alternatives).
Counts as supported if: Reported totals show hundreds of billions of dollars invested in LLM/generative-AI scaling by late 2024. Industry statements tie that investment to belief in scaling laws. Funding data show alternative approaches got a small share.
Counts as contradicted if: Investment tied to LLM scaling was well under $100 billion by late 2024, or funding data show substantial investment in non-LLM approaches.
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 claim has three parts: the size, the reason, and the concentration of investment. Only the reason has direct backing. Scale AI's CEO, Alexandr Wang, said on 2024-11-20 that much of the investment going into AI had been based on the belief that the scaling law would hold (The Verge, 2024-11-22). On size, a Bloomberg report published 2024-11-01 said the combined 2024 capital expenditures of Amazon, Microsoft, Meta and Alphabet were set to total well over $200 billion. The same report linked the spending to the AI boom. That figure is a projection for one year and covers all capital spending, not investment in LLM scaling specifically. So it only hints at the size the claim describes. The packet has no data on funding for non-LLM approaches. That means 'largely to the exclusion of investment in other approaches' cannot be checked. No evidence in the packet contradicts the claim.
Limitations
- The capex figure is a projection made in November 2024 for the full year, not a realized total.
- The capex figure covers all data-center and cloud spending by four firms, not investment in LLM scaling alone, and it covers 2024 only, not 2020–2024.
- The phrase 'on the assumption that I was wrong' is read as belief that scaling would keep working. Investors' views of Marcus himself cannot be observed.
- Wang's statement is one industry view, and it does not quantify how much investment rested on that belief.
- No measure of funding for alternative approaches was found.
Evidence (2 items)
Supports the claim: Gulf News (Bloomberg),
The capital expenditures of the four largest internet and software companies - Amazon.com Inc., Microsoft Corp., Meta Platforms Inc. and Alphabet Inc. - are set to total well over $200 billion this year, a record sum for the profligate collective.
Why it matters here: Shows spending in the hundreds of billions tied to the AI boom in 2024 alone. It is total capex, not spending on LLM scaling specifically, so it bears on the size of the claim only as context.
- Publisher
- Gulf News (Bloomberg)
- Kind of source
- News report
- Measures
- Amazon, Microsoft, Meta, Alphabet (combined), capital expenditures, USD billions, estimate, 2024-01 to 2024-12
- Describes events of
- Public from
Supports the claim: The Verge,
Much of the investment going into AI has been based on the belief that the scaling law “would hold,” he said.
Why it matters here: An industry CEO's statement that much AI investment rested on belief in scaling. This is consistent with the rationale part of the claim, but says nothing about how much went to alternatives.
- Publisher
- The Verge
- Kind of source
- News report
- Describes events of
- Public from
What would settle it
A credible breakdown of realized AI investment from 2020 to November 2024 that separates LLM and generative-AI scaling from non-LLM approaches such as neurosymbolic, cognitive-architecture, or hybrid research, and shows both the dollar total for LLM scaling and the relative shares.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, Satya Nadella and the three stages of scientific truth
Hundreds of billions of dollars were invested on the assumption that I was wrong, largely to the exclusion of investment in other approaches.
- Where
- paragraph 24
- Published
- 2024-11-23
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-satya-nadella-and-the-three-stages-71fb79-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-satya-nadella-and-the-three-stages-71fb79-a2.