“Because right now the thing I've been on about with generative AI is on top of not being super useful, it's so unprofitable.”
Our reading, the sentence that was checked:
Generative AI is very unprofitable.
Assessment: Unresolved Evidence as of
Where and when Ed Zitron wrote it
Where's Your Ed At, Rot Economics - An Interview With MIT's Daron Acemoglu, paragraph 53.
- Said
- Source observed
- live page, full text, public
- Evidence as of
- the cutoff for this assessment
- Assessment recorded
- assessment wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-a2
We recorded 8 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 2024-07-24. 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
- right now
- generative AI
- it's so unprofitable
- every report seems to be suggesting it isn't making people money
Our interpretation
- The ordinary financial reading concerns generative AI providers' business profitability, including development and operating expenses, rather than revenue growth or customer productivity.
- No individual company is named. Treat this as a claim about the provider industry broadly, not a claim solely about OpenAI or a claim that every provider loses money.
- The surrounding reference to reports implies an estimate basis. No accounting profit measure or currency is specified.
- For the ongoing observation, use April–June 2024, the latest complete quarter before publication.
- 'So unprofitable' means substantial overall losses; the speaker supplies no numerical materiality threshold.
Counts as supported if: Comparable evidence for the target quarter shows substantial aggregate losses across a representative set of generative AI providers, with revenues and total costs measured consistently.
Counts as contradicted if: Comparable evidence for the target quarter shows the provider industry broadly profitable or without substantial aggregate losses.
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
Zitron described generative AI as “so unprofitable” “right now” on July 24, 2024 [wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-o1]. On July 27, The Decoder reported projected OpenAI losses of up to $5 billion for all of 2024, rather than realized April–June results [e1]. TechCrunch reported on January 6, 2024 that Midjourney was “apparently profitable,” without a profit amount or accounting period [e2]. These reports do not establish substantial aggregate losses or their absence across generative AI providers in April–June 2024, leaving the claim unresolved under the contract's industry-level reading [e1, e2].
Limitations
- The evidence supplies no comparable realized April–June 2024 revenues and total expenses for a representative set of providers [e1, e2].
- A profitable individual provider would not by itself disprove substantial aggregate industry losses; the Midjourney report also predates the target quarter [e2].
- The provider-industry scope and April–June period are assessment interpretations. The statement specifies neither an accounting measure nor a numerical loss threshold [wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-o1].
- This assessment addresses profitability, not the accompanying judgment about usefulness.
Evidence (2 items)
Context only: The Decoder,
$5 billion
Why it matters here: Reports a projected full-year OpenAI loss, consistent with concern about provider economics. It is neither a realized quarterly result nor evidence covering the whole industry; no accessible primary financial disclosure was found.
- Publisher
- The Decoder
- Kind of source
- Secondary summary
- Measures
- OpenAI, Projected annual loss; precise accounting profit measure unspecified, USD billions, estimate, 2024-01-01 to 2024-12-31
- Describes events of
- Public from
Context only: TechCrunch,
apparently profitable
Why it matters here: A reported profitable provider cautions against treating generative AI losses as universal. The report supplies no profit amount or accounting period and cannot decide aggregate profitability in April–June.
- Publisher
- TechCrunch
- Kind of source
- News report
- Measures
- Midjourney, Reported profitability; precise accounting profit measure unspecified, estimate, ? to ?
- Describes events of
- Public from
What would settle it
Comparable realized revenues and total business expenses for April–June 2024 across a representative set of generative AI providers, with a defined industry boundary and consistent accounting measure, showing substantial aggregate losses or their absence.
Where it was said (1)
Said once in the sources this register covers.
: Where's Your Ed At, Rot Economics - An Interview With MIT's Daron Acemoglu
Because right now the thing I've been on about with generative AI is on top of not being super useful, it's so unprofitable.
- Where
- paragraph 53
- Published
- 2024-07-24
- Source observed
- , live page
- Access
- full text, public
History
Assessment versions
- Assessment wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-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 wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-a2.
HeldBy this site
The final-text check failed: proposition_faithful.
About assessment wyea-rot-economics-an-interview-with-mits-daron-acemoglu-ce719f-a1, which was not published.