“Nevertheless, said demand can’t be that large, otherwise we’d A) have other companies trying to build their own compute (other than Poolside, which failed to raise money to do so) and B) massive remaining performance obligations — hundreds of billions of dollars’ worth — rather than the grim truth that 50% of hyperscaler RPOs are from Anthropic and OpenAI, inflating obligations by $448 billion”
Our reading, the sentence that was checked:
Demand for compute beyond OpenAI and Anthropic is not large; they make up 50% of hyperscaler RPOs ($448B).
Assessment: Unresolved Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, Let AI Burn, paragraph 38.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-let-ai-burn-afe890-a1
We recorded 34 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 2026-07-07. 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
- said demand can’t be that large
- 50% of hyperscaler RPOs are from Anthropic and OpenAI
- inflating obligations by $448 billion
Our interpretation
- The numerical proposition is that OpenAI and Anthropic together account for approximately half of the relevant hyperscalers' outstanding performance obligations, totaling approximately USD 448 billion.
- The surrounding discussion names Microsoft, Amazon, and Google. I use those as the provisional comparison set, while preserving the uncertainty about whether another set was intended.
- For this ongoing financial observation, I use March 31, 2026: the latest common quarter-end ordinarily covered by public quarterly reports before July 7. This is a stock of outstanding obligations, not quarterly revenue.
- The supplied passage does not identify whether the combined customer attribution is company-reported or an external estimate. The contract's accounting basis therefore remains unknown.
- Not large has no numerical demand threshold. Concentration alone does not establish that the remaining absolute demand is small, or distinguish AI compute from other cloud services.
Counts as supported if: A reconciliation for the same date, company set, accounting treatment, and contract scope establishes approximately USD 448 billion of recognized outstanding obligations attributable to the two customers and approximately a 50% share. Separate evidence establishes the claimed small scale of other compute demand.
Counts as contradicted if: A matching reconciliation establishes a materially different customer amount or share, or comparable evidence establishes substantial other compute demand under an identified threshold. No supported or contradicted score is permitted while the contract's accounting basis remains unknown.
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 reviewed disclosures do not verify the combined $448 billion and 50% assertion. They report different company and contract scopes without a matching two-customer breakdown. Microsoft's reported growth excluding OpenAI also cautions against the broader weak-demand inference, but does not settle demand excluding both customers across hyperscalers. The unspecified accounting basis independently prevents a supported or contradicted score under the money-claim rules.
Limitations
- The quarter-end and company set are explicit evaluator interpretations.
- Primary customer-attribution disclosures may be incomplete.
- Large cloud backlog does not by itself establish large independent AI-compute demand.
Evidence (3 items)
Context only: Microsoft,
grew 26%
Why it matters here: Microsoft reports growth outside OpenAI, which cautions against inferring negligible other demand. This excludes only one customer at one company and cannot settle the combined attribution.
- Publisher
- Microsoft
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Measures
- Microsoft, Year-over-year commercial RPO growth excluding OpenAI percent, company reported, 2026-03-31 to 2026-03-31
- Describes events of
- Public from
Context only: Amazon,
$364 billion
Why it matters here: This supplies Amazon's reported total for contracts longer than one year, primarily related to AWS. It does not supply the two customers' remaining share.
- Publisher
- Amazon
- Kind of source
- Regulatory filing
- Measures
- Amazon, Remaining performance obligations for contracts with original terms exceeding one year, primarily AWS, USD billions, company reported, 2026-03-31 to 2026-03-31
- Describes events of
- Public from
Context only: Alphabet, reproduced by Portrak,
over $460 billion
Why it matters here: Alphabet reports a substantial Google Cloud backlog, but this passage does not disclose the portion attributable to OpenAI and Anthropic or isolate other AI-compute demand.
- Publisher
- Alphabet, reproduced by Portrak
- Kind of source
- Company disclosure: the company describing itself, not an independent finding
- Measures
- Alphabet — Google Cloud, Google Cloud backlog, USD billions, company reported, 2026-03-31 to 2026-03-31
- Describes events of
- Public from
What would settle it
A dated reconciliation naming the hyperscalers, accounting basis, aggregate RPO, and remaining OpenAI and Anthropic obligations, plus a defined measure of other compute demand.
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, Let AI Burn
Nevertheless, said demand can’t be that large, otherwise we’d A) have other companies trying to build their own compute (other than Poolside, which failed to raise money to do so) and B) massive remaining performance obligations — hundreds of billions of dollars’ worth — rather than the grim truth that 50% of hyperscaler RPOs are from Anthropic and OpenAI, inflating obligations by $448 billion
- Where
- paragraph 38
- Published
- 2026-07-07
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-let-ai-burn-afe890-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.