“(Side bonus: GenAI uses a massive amount of power, to the point of keeping fossil fuels in vogue, and that’s good for oil-rich countries, even if GenAI never becomes reliable.)”
Our reading, the sentence that was checked:
Generative AI uses so much power that it keeps fossil fuels in demand, which benefits oil-rich countries whether or not GenAI ever becomes reliable.
Assessment: Unresolved Evidence as of
Where and when Gary Marcus wrote it
Marcus on AI, An epidemic of weirdly precise AI butt facts, paragraph 15.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment marcus-an-epidemic-of-weirdly-precise-ai-68ed3f-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 2024-10-30. This page does not claim the wording was captured then.
What the claim commits to
- Kind
- Causal claim
- 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
- even if GenAI never becomes reliable (qualifier, stated by the speaker)
From the speaker
- GenAI uses a massive amount of power
- to the point of keeping fossil fuels in vogue
- that's good for oil-rich countries
- even if GenAI never becomes reliable
Our interpretation
- Plain reading has two parts: (1) AI-driven electricity demand is sustaining fossil-fuel power, for example delaying coal or gas plant retirements or driving new gas plants; (2) this benefits oil-rich (fossil-exporting) countries.
- The claim describes an ongoing state at the post date. I use the period from 2023 to the post date (2024-10-30), when the AI data-centre boom was visible in utility plans.
- 'Even if GenAI never becomes reliable' is a hedge, not a condition to test.
Counts as supported if: Evidence that AI data-centre demand was keeping fossil generation in use or expanding it, and that this benefits oil- or gas-exporting countries.
Counts as contradicted if: Evidence that AI power demand was met without sustaining fossil fuels, or that fossil exporters did not benefit.
Retrospective: these criteria were written after the outcome was public.
Current assessment
Does the evidence support the cause?
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 two parts. First, AI power demand is keeping fossil fuels in use. Second, this benefits oil-rich countries. For the first part there is partial evidence. DeSmog reported in December 2025 (e1) that Dominion Energy had announced non-binding plans in 2020 to retire its Clover coal plant by 2025. Dominion reversed that in 2023, when its plan projected that data-centre demand would nearly quadruple by 2038. That is one utility, and it concerns data centres generally, not generative AI specifically. An IEA report summarised in April 2025 (e2) projects that renewables and natural gas will lead in meeting data-centre demand. That is a later projection and serves only as context. For the second part, the packet has no evidence that oil- or gas-exporting countries benefited. The claim as a whole is not established.
Limitations
- The evidence covers data-centre demand in general, not generative AI specifically.
- Only one utility decision within the target period is documented in the evidence items.
- The IEA material is a secondary summary of a 2025 projection, published after the post.
- The packet has no evidence on fossil-fuel export demand or revenue.
Evidence (2 items)
Supports the claim: DeSmog,
It reversed course just three years later. Under its 2023 plan, Dominion projected that its energy demand from data centers would nearly quadruple by 2038.
Why it matters here: Before the post, Dominion reversed its plan to retire the Clover coal plant, citing data-centre demand growth. This supports part (1) of the claim.
- Publisher
- DeSmog
- Kind of source
- News report
- Describes events of
- Public from
Context only: Hydrocarbon Engineering (reporting IEA),
renewables and natural gas are set to take the lead due to their cost-competitiveness and availability in key markets.
Why it matters here: The IEA projects natural gas as a lead supplier for AI data-centre demand, alongside renewables. This is a later projection, so it is context only.
- Where
- paragraph 3
- Publisher
- Hydrocarbon Engineering (reporting IEA)
- Kind of source
- Secondary summary
- Describes events of
- Public from
What would settle it
Energy-agency or utility analysis that ties generative-AI power demand during 2023–2024 to sustained fossil generation, plus market or export data showing a resulting benefit to oil- or gas-exporting countries.
Where it was said (1)
Said once in the sources this register covers.
: Marcus on AI, An epidemic of weirdly precise AI butt facts
(Side bonus: GenAI uses a massive amount of power, to the point of keeping fossil fuels in vogue, and that’s good for oil-rich countries, even if GenAI never becomes reliable.)
- Where
- paragraph 15
- Published
- 2024-10-30
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment marcus-an-epidemic-of-weirdly-precise-ai-68ed3f-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-an-epidemic-of-weirdly-precise-ai-68ed3f-a2.