GenAI’s day of reckoning may have come
We recorded 19 claims from this post. 10 were checked against evidence. 9 can’t be checked. 5 more are held. Read the post at its source.
Claims from this post (19)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
“But the economics do not and have not ever made sense, relative to the realities of the techonology.”
What we tested: The economics of generative AI do not make sense and never have, given the technology's actual capabilities.
Assessment: UnresolvedSaid
“GenAI is never going to disappear.”
What we tested: Generative AI will never disappear.
Assessment: Can’t be checkedSaid
“There are a bunch of reasons to think that the deflation of the bubble may have already started.”
What we tested: The GenAI bubble may already have begun to deflate as of March 2025.
Assessment: UnresolvedSaid
“NVidia, the largest company actually making serious profits from AI, is down 17.75% for the year, and (after a meteoric rise) clearly facing headwinds.”
What we tested: Nvidia, the largest company making serious AI profits, is down 17.75% year-to-date in 2025 and clearly facing headwinds.
Assessment: UnresolvedSaid
“User disillusionment continues to grow.”
What we tested: User disillusionment with generative AI is continuing to grow.
Assessment: SupportedSaid
“Especially since DeepSeek there has been a massive price war.”
What we tested: There has been a massive LLM price war, especially since DeepSeek.
What happened: Alibaba announced a large reduction within the target period. The maximum discount must not be read as a reduction across every model. (Reuters, syndicated by WHBL, )
Assessment: UnresolvedSaid
“Agents will be a disappointment, precisely because of all of the ongoing reliability and hallucination issues.”
What we tested: AI agents will be a disappointment because of ongoing reliability and hallucination problems.
Assessment: UnresolvedSaid
“For most GenAI model building companies, profits will be meager.”
What we tested: Most GenAI model-building companies will have meager or no profits.
Assessment: UnresolvedSaid
“(Or nil; most are losing money; few have made any profits at all).”
What we tested: Most GenAI model-building companies are losing money and few have made any profit.
Assessment: UnresolvedSaid
“The end game here is not that LLMs will vanish, but that LLMs will be virtually free.”
What we tested: LLMs will not vanish but will ultimately become virtually free.
Assessment: Can’t be checkedSaid
“But the use of GenAI will likely continued to be stymied by hallucinations and silly errors.”
What we tested: Use of generative AI will likely continue to be held back by hallucinations and silly errors.
Assessment: Can’t be checkedSaid
“LLMs may ultimately prove to be something like a $$30B or $40B industry, which is not nothing — but they could well also turn out to be an industry that costs double or treble that to run, including data licensing, high-priced staff, massively expensive data centers that may become obsolete quickly, and seemingly endless litigation.”
What we tested: The LLM industry may ultimately be worth around $30-40B in revenue while costing two to three times that to run.
Assessment: UnresolvedSaid
“This And the promised major jumps in economic productivity simply haven’t emerged.”
What we tested: The promised major gains in economic productivity from GenAI have not materialized.
Assessment: Can’t be checkedSaid
“But so much seems to have been built on dreams.”
What we tested: So much in GenAI seems to have been built on dreams.
Assessment: Can’t be checkedSaid
“Companies like OpenAI may to some degree supplement revenue by selling very private user data to intelligence agencies and the like, to be sure.”
What we tested: Companies like OpenAI may partly supplement revenue by selling private user data to intelligence agencies and similar buyers.
Assessment: SupportedSaid
“GenAI is an approach that is enormously popular, but one that is neither reliable nor particularly well-grounded in truth.”
What we tested: GenAI is an enormously popular approach, but one that is neither reliable nor particularly well-grounded in truth.
What happened: Company-reported adoption supports popularity. (TechCrunch, )
Assessment: Can’t be checkedSaid
“I genuinely believe arguments from Stuart Russell and others that AI could someday be a trillion dollar annual market.”
What we tested: AI could someday be a trillion-dollar annual market.
Assessment: Can’t be checkedSaid
“Different, yet-to-be-developed approaches, with a firmer connection to the world of symbolic AI (perhaps hybrid neurosymbolic models) might well prove to be vastly more valuable.”
What we tested: New approaches more connected to symbolic AI, perhaps neurosymbolic hybrids, might prove vastly more valuable than GenAI.
Assessment: Can’t be checkedSaid
“But unlocking that market will require something new: a different kind of AI that is reliable and trustworthy.”
What we tested: Reaching a trillion-dollar AI market will require a new, reliable and trustworthy kind of AI beyond GenAI.
Held from this post (5)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The two reviews read the claim differently
- The criteria are ambiguous. Our reading, not assessed: No LLM company appears to have a technological moat, and none has a solid solution to LLMs' longstanding problems.
- The two reviews read the claim differently
- The two reviews read the claim differently
- The record does not meet the current rules. Our reading, not assessed: OpenAI's revenue is up but so are its costs, it has not been able to deliver GPT-5, and some other companies have basically caught up with GPT-4.5, almost overnight.