OpenAI Is ‘Definitely Not’ Too Big to Fail, Economist Says

https://www.bloomberg.com/news/newsletters/2025-12-18/openai-is-definitely-not-too-big-to-fail-economist-says

48 Comments

  1. Intelligent-Song1289 on

    yeah no kidding

    one of the first things I did was start messing around with local models

    I don’t trust billionaires

  2. ithinkitslupis on

    Netscape, AOL, Myspace and Blackberry are too big to fail. The rest of you are haters to say otherwise.

  3. OpenAI definitely can fail, but that doesn’t mean it will die.

    OpenAI is still an organization that’s generating billions of dollars, produces flagship technology products to represent the USA in the “new Cold War” with China, and has large scale investors behind it (e.g. Microsoft).

    Therefore, even if it does “fail”, it will very likely be bailed out.

  4. They’re planning to go public. It means the top level folk are ready to dump shares and bail with the money.

  5. Well they aren’t too big to fail, but they have been invested in enough that a bunch of large companies stand to lose billions if they do. Minimal effect on the economy while creating a small pocket dent in a bunch of billionaires. Who spend a lot of money to make you think they are too big to fail.

  6. Party-Kangaroo-1139 on

    Yes, he said that, but did he say it EXTREMELY sarcastically like when I say my Weiner is DEFINITELY NOT 4 inches 😂

  7. Who said OpenAI is too big to fail? They’re not publicly traded so if they fail, only private investors get the shaft. There are plenty of other LLMs that can take OpenAI’s place. You could even argue the demand for AI is somewhat fungible so the other large providers could take over OpenAI data centers.

  8. No company is too big to fail and if anyone thinks there is, they should have been broken up long ago anyways.

  9. They’re failing upwards on borrowed money. What more do they expect to fail at than securing further funding?

    I for one will celebrate their success at no longer existing.

  10. You never beat the cash flow model.

    At the end of this model is the mass of consumers that must be willing to pay for the product. Above all else, no matter what, this has to exist.

    The core issue with AI is the cost component of this cash flow model to equate out to a net positive result. This is just basic math. The basic math requires a rather significant customer investment just to break even at all.

    This customer investment also competes against the income and expense of the public also where there is already wage stagnation, growth of basic needs costs, new taxations through tariffs and trade disputes, and some of the largest held debt in history. It’s competing for dollars against this.

    Above that competition is want. What percentage of people actually want to pay for AI? How much are they willing to play? Is this partial group and capacity for investment sufficient to even generate a break even model?

    When the cash flow is not sufficient, someone is holding that debt. When we’re talking many trillions of dollars invested into AI infrastructure, how big is that remaining dept? Who is left holding which portions? And is each company holding sitting on sufficient assets to absorb that dept?

  11. They are big enough to start a domino effect which would lead to a huge dent in the mag 7 valuations. Worldwide ramifications if this happens.

  12. If they cease to exist tomorrow it’ll take 5-10 business days to get them replaced by whoever has the best performing model.

  13. Nothing fails. Price is always due and the consumer always pays, one way or other. They don’t give a hoot.

  14. Doesn’t matter what economists say if Trump decides to take more taxpayer money to bail out those who line his pockets and praise him publicly .

  15. YellingatClouds86 on

    Yeah, this idea is silly. If they fail, their assets should be bought up by other companies and let’s keep going. If we want get out of this kleptocratic model we have, we have to allow people to fail under capitalism and quit bailing out companies for bad decisions.

  16. brownhotdogwater on

    OpenAI is part owned by Microsoft and used in thier AI push. They will just be absorbed into Microsoft for a bargain.

  17. Technical_Ad_440 on

    if it fails its got so much money in it that everyone feels it thats why its to big to fail. microsoft take over it anyways cause of how tied to azure open ai is.

  18. Whoever said OpenAI is too big to fail better see a psychiatrist. Their revenue for entire 2025 is estimated to be $13billion.

    Google’s revenue in its Q3 alone is $102billion.

  19. They are absolutely not “too big to fail”, that term only applies to things which are foundational to the economy and nothing else can replace. (And even then, I think that should never be the case. If it is, it is a prime reason why something should be nationalized.)

    Nothing OpenAI produces is unique and can’t be replaced by a competitor.

  20. I think it will all depend on how entrenched it is in the tech of commerce, science, business and everyday life. It might be a different answer today vs 2030 or so.

  21. OpenAI is not to big to fail but you better believe their investors that are billionaires will be considered too big to fail.

  22. Horror_Response_1991 on

    AI is too big to fail but they will certainly let a few fail.  You could remove OpenAI tomorrow and nothing really changes, that’s how much their competition has caught up and even surpassed them.  OpenAI was the first one to monetize LLM’s and they have first mover advantage, but that advantage is decreasing everyday.

  23. Dry_Ass_P-word on

    Yeah right. Can’t wait to watch congress and the president send our tax dollars to save them.

  24. railroad-dreams on

    Not yet. Their goal is to be a platform not just an LLM. They want to be the glue that ties business processes together. Either they become a platform or they die. So they have to spend a ton of money to get there.

  25. *Nothing* is too big to fail, and the people who pushed that nonsense phrase just wanted more of our fucking money.

    It’s from the same school of thought as “trickle down economics”

  26. OpenAI is already losing to Google and Anthropic. AI research and development of Google/Anthropic beat out AI marketing of OpenAI/ChatGPT. GPT was invented at Google. OpenAI just fronted with datasets, integrations and marketing. Google was always more “open” than OpenAI which is basically ClosedAI. It is fading now.

  27. OpenAI projecting $12.7B revenue for 2025 while chasing $10B in fresh capital highlights the brutal capital intensity of this market. Systemic risk is the wrong lens. This is pure power law logic: return the fund or become tuition. The market demands speed and scale, not speculative safety nets. Fundamentals over narratives.

  28. Nothing should ever be “too big to fail”. That whole concept is an executives dream that the masses bought in order to ensure they receive a golden parachute no matter what.

  29. If they are smart enough they’ll sell to Microsoft while on the top, otherwise it’s going to happen to them the same that happened to Yahoo and Microsoft is going to buy them by penis

  30. Is there anything that is too big to fail? What happened to the belief from Ozymandias that all things will perish with time? We don’t believe in that anymore and instead believe that, out of all human history, we are the only ones society whose culture attains immortality?

    Maybe I am being reductive or missing the point, since there’s a difference between something that stays around for less than a decade vs something that stays around for centuries or millennia (like some literature or Greek philosophical thought).