You would think the effect was the opposite. I think this is worse for OpenAI.
So far, the circular financing from Nvidia has been peanuts for the company. It's roughly equal to giving 5% discount on hardware, not a big deal when the profit margin is 70%. Trying to prop up new neoclouds and competition is a good idea.
As I understand it, the OpenAI investment was much bigger effective discount but still safe because Nvidia invests gradually in installments only when OpenAI invests in data centers: tit for tat. Maybe OpenAI wanted to get the money now and invest it later, as they seem to be running out of cash.
My best guess is that Nvidia is unhappy with how OpenAI is fishing for compute with its competitors (Jensen had some opinions on the AMD-OpenAI deal when it was announced). If this actually becomes a feasible reality, it gives OpenAI (and co) negotiating power - which is bad for Nvidia
Nvidia might have wanted more exclusivity/attachment. And OpenAI still seems to have no problem raising money. So maybe there was just a commitment mismatch
> You would think the effect was the opposite. I think this is worse for OpenAI.
How do we know it wasn't? OpenAI isn't a publicly traded company, and I guess no one who dares writing anything here actually knows how the numbers look on the inside, so for what we know, it could very well have been worse for OpenAI than Nvidia.
You can make a good guess, though - OpenAI had a significant lead, its moat was being a generation or 2 ahead of the competition, and as of the end of 2025, OpenAI, Google, xAI, and Anthropic are pretty much neck and neck. Grok and Gemini are likely to be the top 2 within the next couple months, and the Chinese open models are hot on their heels.
OpenAI is going to be competing for third or fourth place with Anthropic unless one of them pulls off a big capabilities or efficiency leap while remaining believably as good as the other top models. Google and xAI have advantages that the others don't, and are capitalizing on them like crazy. It remains to be seen whether xAI can compete with the Google hardware advantage, but they have economies of scale, differences in mission, and Elon's billions on their side, so it's turning out to be a very interesting race.
Sama could also finagle a funding rabbit or strategic partnership out of his hat and also have the next top tier model, amazing everyone again and keeping a plausible "best in class" lead for a while; OpenAI would have to be down for at least a year before I counted it out completely. It's not looking very pretty for them right now, though.
No one believes Grok will be top 2 in a couple months. OpenAI and Gemini, in one of the two orderings, will continue to be far ahead of Grok in "the next couple of months". I encourage you to bookmark your claim here and return in 2 months to take stock in your ability to predict/bluff.
How do you know which two models are 'top 2' and how do you expect the parent commenter to know which are top 2 when he comes back to this comment and verify his prediction?
Grok even if it were technically superior is hampered by it being owned and run by a mercurial racist narcist who in drug infused mania keeps accidentally turning it into Mecha-Hitler in attempts to make it fit his political views or turning it into a generator of child porn. No one in their right mind wants to have their product associated with that kind of liability. Who wants an ai agent that starts spewing great replacement theory at their customers?
Even if OpenAI gets “better” than Google, it’s still a sharecropper on other people’s infrastructure and depending on more expensive Nvidia chips while Google has a real business that throws off 10s of billions a year in profit, it’s own infrastructure, its own TPUs, and actual customers with both search and related and GCP.
The open source models are showcasing a lot of cool research ideas that will undoubtedly end up in future frontier models from OpenAI and others. We're at a point where the big proprietary AI firms barely do any foundational research anymore, they're purely about incremental improvement. All the proven substantial progress recently has been coming from the open models side.
I agree that DeepSeek and others have been doing most of the published research for future frontier models.
But I’m not sure we can say they the big US companies aren’t doing foundational research anymore. I suspect a lot of it is just kept unpublished as a result of the intense competitive pressure, which is disappointing.
What I don't understand is why Gemini is not #1, other than that Google has no economic reason to have the same fire under its ass to be #1 as Anthropic and OpenAI. Or maybe they are correctly assessing that getting to good enough and out-building infrastructure is more valuable; they do have their TPUs as bets on their future and their search monopoly today to print nearly endless free cash flow. Perhaps Gemini is advancing at exactly the right rate for them.
I guess there is one thing that Gemini is objectively better at than either, which is long context, and it does seem to be by an order of magnitude. What boggles my mind is why Gemini is still not as good as the open weight frontier models yet. If they got just to parity with that along with their existing long context and strong token pricing, they'd be able to take over the coding market. Are they just biding their time to make their move? Hard to discern.
>It's roughly equal to giving 5% discount on hardware, not a big deal when the profit margin is 70%.
using your numbers, Nvidia didn't drop 70%, it's more on the order of the 5% so at least from that angle, the news narrative holds together superficially.
the hit to microsoft the other day was pretty interesting
I saw reports attributing it to a miss on earnings from Azure but they were off by 0.4% on 39% growth. That's 39% instead of 39.4%. And the company stock dropped 10%. This is all of Microsoft - 10% down (!).
It has to tell you there are a LOT of people primed to sell in a hurry on bad news. The "bubble" talk subsided a lot after nVidia smashed earnings last quarter, but largely overlooked how much their whole situation is based on pent up demand. It completely masks the fundamentals.
I still feel like we're sitting on a volcano and seeing puffs of smoke and feeling earth tremors.
I always wanted to crunch the numbers but never got around to it, so I'm glad someone actually went and did it. YC company IPOs always smelled like pump-and-dump than a true liquidity/fundraising event, and if those numbers are correct, I was right. Or to put it another way, if someone asks "should I buy IPO shares in a YC company", the answer is "no".
I think it would be healthy for everyone if the hype around this stuff would die down a bit. There's too much pressure to invest in hardware and too much uncertainty around the business case. I am excited to see what can be built but I hope a bunch of people don't have to get wiped out financially along the way.
Microslop CEO begging for AI $$$ because astronomical overprovisioning is becoming obvious, all big spenders frantically trying to hide CapEx from their books and hallucinate revenue projections like its Enron reloaded and Oracle is already getting sued by bondholders over AI spend [0].
To me CoreWeave is the one to watch. They have to actually bring all these promised datacenters online, operational, and profitable. They basically got a $2B bailout from Nividia a week or so ago but they're back to sinking.
Consumer can eat all the GPUs they have and more if we stop trying to force B2B
Right we have a loop where AI is so expensive (because it's priced to feast on B2B margins) that the best consumer experiences aren't affordable, and they're not affordable so they don't go mainstream, and they're not mainstream so no one is willing to take less money and bank on the incredible volume that would emerge if it went mainstream.
If we can get model pricing cheaper AI entertainment alone will probably carry things (I'm 99% sure NovelAI is already one of their largest customers outside of major AI labs)
Even if consumer can eat all the gpus, it cannot have the margins (as you say), and thus won’t sustain the current valuations all these companies have and which fuel the (necessary) investments.
NVIDIA is sitting on 74% gross margin. If we reach a place where "all" these companies have to do to unlock nearly unbounded demand is take lower margins, they will find capital.
If anything I'm more worried about the consumers than the companies.
It is not nvidia who has problems here, but the ai companies which depend on huge valuations for their continuous funding and survival, thus also those who invest on those valuations. I am not worried about them though, I hope they all burn to the ground, but alas it will not be them who pay for it in the end.
> Consumer can eat all the GPUs they have and more if we stop trying to force B2B
You should really crunch the numbers on buying and then running enough compute to run a leading edge model. The economics of buying it (never mind running it) just dont add up.
You still haven't factored in "training", the major problem right now that every one remains head in sand about.
I dont need a model to know who Tom Cruise is or how to write SQL if I am asking it "set up my amazon refund" or "cancel xyz service". The moment someone figures out how to build targeted and small it will take off.
And as for training, well having to make ongoing investment into re-training is what killed expert systems, it's what killed all past AI efforts. Just because it's much more "automated" doesn't mean it isnt the same "problem". Till a model learns (and can become a useful digital twin) the consumer market is going to remain "out of reach".
That doesn't mean we dont have an amazing tool at hand, because we do. But the way it's being sold is only going to lead to confusion and disappointment.
Consumer, as in B2C, not consumers buying directly. B2C companies will happily buy (or rent from people who are buying today) GPUs, because a huge part of the game is managing margins to a degree B2B typically doesn't need to concern itself with.
> I dont need a model to know who Tom Cruise is or how to write SQL if I am asking it "set up my amazon refund" or "cancel xyz service". The moment someone figures out how to build targeted and small it will take off.
I think people got a lot of ideas when dense models were in vogue that don't hold up today. Kimi K2.5 maybe be a "1T parameter model" but it only has 32B active parameters and still easily trounces any prior dense model, including Llama 405B...
Small models need to make sense in terms of actual UX since beating these higher sparsity MoEs on raw efficiency is harder than people realize.
If you truly believe this, slowly divest everything into cash, wait for the crash, then buy back in. Even buying in slowly over the course of a crash, on the way down, will save you a ton of money if you're out before it hits.
But you're more likely to just cash out early, lose a bunch of gains, then buy back in later at higher prices.
If you can time the crash you can make a shitload of money. But you can't, so you'll come out better if you just keep buying in every paycheck and ride it out just like you have been.
There is the separate risk that Microsoft, Google, etc. will have a lower value in two years as governments get their migration off their platforms into full gear
It doesn't have to be 'ride it till it dies' or 'sell everything'. The AI bubble is almost exclusively contained to the US stock market and a few east Asian manufacturers.
You're right that selling everything and 'going to cash' would be a mistake, but diversifying away from US large cap growth absolutely wouldn't. I'm 60/40 stocks/bonds. My stocks and bonds are 50/50 us/intl. ~ 10% of my us portfolio is small cap value.
What's funny to me is that nobody learns from the past. This is far from the first tech bubble we've had even before the .com crash (canals, railroads, radio...). The answer, every time was diversification.
The east Asian semiconductor manufacturers are selling shovels in the gold rush and being very cautious about expansion given how capital-intensive the whole sector is. It's hard to come up with a scenario where they outright lose, even with the bubble popping.
I mean there's also a cost to not expanding too, in that you're leaving money on the table. I doubt they've really been able to resist the siren call of basically being able to print more money, but if the AI bubble collapses and they're left selling most of their production to consumers, they're gonna have a lot of stranded capital. Here's hoping they're smart enough to build a big war chest to weather the storm, but in my experience, companies rarely do.
Invest into stuff that people will need regardless of the bubble popping like medicine, food, internet access, energy, ... . Stay away from luxury/travel stuff.
Also, during a crash there is the so called "flight for quality" where people cash out from risky assets and invest in stable ones that can weather the storm. So, try to invest in assets that are A or above (https://en.wikipedia.org/wiki/S%26P_Global_Ratings). The chart is for countries, but analysts grade companies as well in case you want to stay away from treasuries/national bonds.
Also diversify geographically. US will likely take the biggest hit if the bubble pops, so perhaps European markets that lagged behind in adopting the technology are safer (IMHO).
Personally, I am preparing by moving money from growth items to stable ones a bit at the time. To diversify even further I am using ETFs that, in addition to what mentioned above
1) pay dividends (whether these distributed or reinvested doesn't really matter)
2) are denominated in or hedged in safer currencies (CHF especially, but also Euro)
You definitely get smaller returns, but the name of the game is to maintain what you have, not to make heaps of money.
Finally, I am not a financial advisor, so do your own valuations/risk assessment analysis.
Current US debt to gdp is 124%, 38.6 trillion.
Japan too at 230-240%.
Bond markets in both are looking seriously unhealthy (Japan going via a Liz Truss moment at present).
If the AI bubble falls over, the US government is going to have to print 5 trillion to cover the bubble at least. The only option there is inflate away anyone holding cash.
If hte AI succeeds and people are replaced, the US government faces a massive fiscal cliff of a loss of tax receipts. They won't be able to service the debt and again will be forced to inflate away.
To service current debt projects, AI growth needs to return some 3.2-3.5%, it is currently 0.5%.
Bonds, equities, USD, and housing are all risk assets right now.
Primarily the fault of our governments not using anti-trust laws for real in, like, decades.
Governments actually do have the power to regulate the economy and to prevent catastrophic crashes from occurring. The warning signs for the AI bubble have been visible for well over a year now, when the entity relationship map between the major players began to resemble a Habsburg family tree... and yet, nothing was done.
This is EXACTLY where I was getting at. People raise their fists at big-tech and big-finance for creating a bubble whose splash damage will hurt everyone, but it's ultimately the government's job to monitor, regulate and prevent this.
The reality is even worse than this. It's not that the government is asleep at the wheel, it's that all financial crises were caused by government intervention to begin with (2009 subprime government backed mortgages, 2020 covid money printing, etc). The big banks, corporations and wall street were only taking advantage of the situation the government helped create in order to enrich themselves.
Average people would have also loved to have taken advantage of it to enrich themselves, if they could understand the system well enough to game it, and some do, so it's not like the blame is only on one participant, but pretty much everyone is to blame:
- the government for creating asset bubbles and closing an eye as it is inflating
- corporations and super wealthy for being greedy and exploiting the system created and run by the government
- the voters for being uneducated and stupid and not seeing the government rob the blind, or for being greedy and complicit on the asset bubble for personal gain, and not holding the government accountable
Maybe I'm misunderstanding your position, but no regulations is certainly not better than some regulations, assuming the people in government positions have the actual best interests of the country in mind. Deregulation specifically led to the sub-prime mortgage crisis and the current situation, not the existence of regulations itself.
>but no regulations is certainly not better than some regulations,
I never meant such a thing.
>assuming the people in government positions have the actual best interests of the country in mind
They don't. They care about themselves and the lobbyists paying them, and sometimes they throw you a bone to win an election.
>Deregulation specifically led to the sub-prime mortgage crisis and the current situation, not the existence of regulations itself.
Deregulation is also a form of regulation because the government is the one that removes the previous safeguards put in place via new regulations. And Clinton was the one responsible for the sub-prime mortgage deregulation.
Literally all the cloud providers have been reporting severe capacity crunches for the past few quarters -- to the tune of backlogs of triple-digit billions each. As a reminder, a backlog or "Remaining Performance Obligation" (RPO) is money their customers have committed to them but they could not realize because they didn't have enough capacity to serve their workloads. Which is why they are all committing to double-digit billions each in AI CapEx spend over the next few quarters.
And most of them (aside from Oracle, which is trying to borrow its way into this gold rush) are investing money from their double digit billions in profit (per quarter!) into this spend... money that they could have otherwise comfortably held on to for something more palatable to share-holders.
Revenue and return on investment is a valid concern to bring up in this whole GenAI shebang; demand is not.
I thought this was already revised? Jensen Huang said they’ll be investing more than ever:
> Nvidia is likely set to make its “largest ever investment” in ChatGPT firm OpenAI, despite reports that the deal may be under threat in recent weeks. The chip giant’s CEO, Jensen Huang, didn’t say exactly how big the investment would be, but said it would be “nothing like” the $100 billion figure mentioned in the September partnership agreement.
You would think the effect was the opposite. I think this is worse for OpenAI.
So far, the circular financing from Nvidia has been peanuts for the company. It's roughly equal to giving 5% discount on hardware, not a big deal when the profit margin is 70%. Trying to prop up new neoclouds and competition is a good idea.
As I understand it, the OpenAI investment was much bigger effective discount but still safe because Nvidia invests gradually in installments only when OpenAI invests in data centers: tit for tat. Maybe OpenAI wanted to get the money now and invest it later, as they seem to be running out of cash.
My best guess is that Nvidia is unhappy with how OpenAI is fishing for compute with its competitors (Jensen had some opinions on the AMD-OpenAI deal when it was announced). If this actually becomes a feasible reality, it gives OpenAI (and co) negotiating power - which is bad for Nvidia
Nvidia might have wanted more exclusivity/attachment. And OpenAI still seems to have no problem raising money. So maybe there was just a commitment mismatch
Pure speculation though
> You would think the effect was the opposite. I think this is worse for OpenAI.
How do we know it wasn't? OpenAI isn't a publicly traded company, and I guess no one who dares writing anything here actually knows how the numbers look on the inside, so for what we know, it could very well have been worse for OpenAI than Nvidia.
You can make a good guess, though - OpenAI had a significant lead, its moat was being a generation or 2 ahead of the competition, and as of the end of 2025, OpenAI, Google, xAI, and Anthropic are pretty much neck and neck. Grok and Gemini are likely to be the top 2 within the next couple months, and the Chinese open models are hot on their heels.
OpenAI is going to be competing for third or fourth place with Anthropic unless one of them pulls off a big capabilities or efficiency leap while remaining believably as good as the other top models. Google and xAI have advantages that the others don't, and are capitalizing on them like crazy. It remains to be seen whether xAI can compete with the Google hardware advantage, but they have economies of scale, differences in mission, and Elon's billions on their side, so it's turning out to be a very interesting race.
Sama could also finagle a funding rabbit or strategic partnership out of his hat and also have the next top tier model, amazing everyone again and keeping a plausible "best in class" lead for a while; OpenAI would have to be down for at least a year before I counted it out completely. It's not looking very pretty for them right now, though.
No one believes Grok will be top 2 in a couple months. OpenAI and Gemini, in one of the two orderings, will continue to be far ahead of Grok in "the next couple of months". I encourage you to bookmark your claim here and return in 2 months to take stock in your ability to predict/bluff.
How do you know which two models are 'top 2' and how do you expect the parent commenter to know which are top 2 when he comes back to this comment and verify his prediction?
Genuine question.
Grok even if it were technically superior is hampered by it being owned and run by a mercurial racist narcist who in drug infused mania keeps accidentally turning it into Mecha-Hitler in attempts to make it fit his political views or turning it into a generator of child porn. No one in their right mind wants to have their product associated with that kind of liability. Who wants an ai agent that starts spewing great replacement theory at their customers?
Even if OpenAI gets “better” than Google, it’s still a sharecropper on other people’s infrastructure and depending on more expensive Nvidia chips while Google has a real business that throws off 10s of billions a year in profit, it’s own infrastructure, its own TPUs, and actual customers with both search and related and GCP.
The open source models are showcasing a lot of cool research ideas that will undoubtedly end up in future frontier models from OpenAI and others. We're at a point where the big proprietary AI firms barely do any foundational research anymore, they're purely about incremental improvement. All the proven substantial progress recently has been coming from the open models side.
I agree that DeepSeek and others have been doing most of the published research for future frontier models.
But I’m not sure we can say they the big US companies aren’t doing foundational research anymore. I suspect a lot of it is just kept unpublished as a result of the intense competitive pressure, which is disappointing.
What I don't understand is why Gemini is not #1, other than that Google has no economic reason to have the same fire under its ass to be #1 as Anthropic and OpenAI. Or maybe they are correctly assessing that getting to good enough and out-building infrastructure is more valuable; they do have their TPUs as bets on their future and their search monopoly today to print nearly endless free cash flow. Perhaps Gemini is advancing at exactly the right rate for them.
I guess there is one thing that Gemini is objectively better at than either, which is long context, and it does seem to be by an order of magnitude. What boggles my mind is why Gemini is still not as good as the open weight frontier models yet. If they got just to parity with that along with their existing long context and strong token pricing, they'd be able to take over the coding market. Are they just biding their time to make their move? Hard to discern.
>It's roughly equal to giving 5% discount on hardware, not a big deal when the profit margin is 70%.
using your numbers, Nvidia didn't drop 70%, it's more on the order of the 5% so at least from that angle, the news narrative holds together superficially.
> the circular financing from Nvidia has been peanuts for the company.
Enron thought the same thing. Until they had a closer look at what their middle managers were actually doing to the books.
https://news.ycombinator.com/item?id=46865317
the hit to microsoft the other day was pretty interesting
I saw reports attributing it to a miss on earnings from Azure but they were off by 0.4% on 39% growth. That's 39% instead of 39.4%. And the company stock dropped 10%. This is all of Microsoft - 10% down (!).
It has to tell you there are a LOT of people primed to sell in a hurry on bad news. The "bubble" talk subsided a lot after nVidia smashed earnings last quarter, but largely overlooked how much their whole situation is based on pent up demand. It completely masks the fundamentals.
I still feel like we're sitting on a volcano and seeing puffs of smoke and feeling earth tremors.
The intense race to dump the risk on the public and cash out (OpenAI ipo, Musk folding xAI into SpaceX for that IPO) is very telling.
The same thing that YC does…
https://medium.com/@Arakunrin/the-post-ipo-performance-of-y-...
You generally want to IPO (and fundraise in general) at the most favorable terms possible — not when there are market headwinds.
Not if you see the IPO as your only remaining exit strategy for a juggling act that is threatening to rain down on your head when it collapses
I always wanted to crunch the numbers but never got around to it, so I'm glad someone actually went and did it. YC company IPOs always smelled like pump-and-dump than a true liquidity/fundraising event, and if those numbers are correct, I was right. Or to put it another way, if someone asks "should I buy IPO shares in a YC company", the answer is "no".
As I understand it, it was in part about their Azure miss more about capital expenditure and market anxiety around their OpenAI investment ROI.
Also a portion of their Azure spend was some clever accounting they did if memory serves me
https://www.geekwire.com/2026/microsofts-historic-plunge-why...
I think it would be healthy for everyone if the hype around this stuff would die down a bit. There's too much pressure to invest in hardware and too much uncertainty around the business case. I am excited to see what can be built but I hope a bunch of people don't have to get wiped out financially along the way.
Possibly good for Nvidia as I have doubts OpenAI will be able to pay their massive IOUs in a timely fashion, if ever.
Did Oracle spin off Cerner yet?
What do you mean by spin off?
How long after the collapse of OpenAI will the DDR situation come back to normal.
hopefully never, so we just have to run cheap screens connected to AI servers /j
The hits are coming closer.
Microslop CEO begging for AI $$$ because astronomical overprovisioning is becoming obvious, all big spenders frantically trying to hide CapEx from their books and hallucinate revenue projections like its Enron reloaded and Oracle is already getting sued by bondholders over AI spend [0].
It will be worse than the dot com bust.
0: https://www.reuters.com/sustainability/boards-policy-regulat...
To me CoreWeave is the one to watch. They have to actually bring all these promised datacenters online, operational, and profitable. They basically got a $2B bailout from Nividia a week or so ago but they're back to sinking.
https://ts2.tech/en/coreweave-stock-slips-as-class-action-no...
I think ARM is the one to watch. Softbank only has a 10% float of their stock.
90% of their stock is being used as collateral against 33 banks for 18 billion stargate loan to OpenAI.
Given Japanese bond markets right now, 30% circular financing, if the AI narrative falls, ARM is gonna blow up.
Consumer can eat all the GPUs they have and more if we stop trying to force B2B
Right we have a loop where AI is so expensive (because it's priced to feast on B2B margins) that the best consumer experiences aren't affordable, and they're not affordable so they don't go mainstream, and they're not mainstream so no one is willing to take less money and bank on the incredible volume that would emerge if it went mainstream.
If we can get model pricing cheaper AI entertainment alone will probably carry things (I'm 99% sure NovelAI is already one of their largest customers outside of major AI labs)
Even if consumer can eat all the gpus, it cannot have the margins (as you say), and thus won’t sustain the current valuations all these companies have and which fuel the (necessary) investments.
NVIDIA is sitting on 74% gross margin. If we reach a place where "all" these companies have to do to unlock nearly unbounded demand is take lower margins, they will find capital.
If anything I'm more worried about the consumers than the companies.
It is not nvidia who has problems here, but the ai companies which depend on huge valuations for their continuous funding and survival, thus also those who invest on those valuations. I am not worried about them though, I hope they all burn to the ground, but alas it will not be them who pay for it in the end.
> Consumer can eat all the GPUs they have and more if we stop trying to force B2B
You should really crunch the numbers on buying and then running enough compute to run a leading edge model. The economics of buying it (never mind running it) just dont add up.
You still haven't factored in "training", the major problem right now that every one remains head in sand about.
I dont need a model to know who Tom Cruise is or how to write SQL if I am asking it "set up my amazon refund" or "cancel xyz service". The moment someone figures out how to build targeted and small it will take off.
And as for training, well having to make ongoing investment into re-training is what killed expert systems, it's what killed all past AI efforts. Just because it's much more "automated" doesn't mean it isnt the same "problem". Till a model learns (and can become a useful digital twin) the consumer market is going to remain "out of reach".
That doesn't mean we dont have an amazing tool at hand, because we do. But the way it's being sold is only going to lead to confusion and disappointment.
Consumer, as in B2C, not consumers buying directly. B2C companies will happily buy (or rent from people who are buying today) GPUs, because a huge part of the game is managing margins to a degree B2B typically doesn't need to concern itself with.
> I dont need a model to know who Tom Cruise is or how to write SQL if I am asking it "set up my amazon refund" or "cancel xyz service". The moment someone figures out how to build targeted and small it will take off.
I think people got a lot of ideas when dense models were in vogue that don't hold up today. Kimi K2.5 maybe be a "1T parameter model" but it only has 32B active parameters and still easily trounces any prior dense model, including Llama 405B...
Small models need to make sense in terms of actual UX since beating these higher sparsity MoEs on raw efficiency is harder than people realize.
If you truly believe this, slowly divest everything into cash, wait for the crash, then buy back in. Even buying in slowly over the course of a crash, on the way down, will save you a ton of money if you're out before it hits.
But you're more likely to just cash out early, lose a bunch of gains, then buy back in later at higher prices.
If you can time the crash you can make a shitload of money. But you can't, so you'll come out better if you just keep buying in every paycheck and ride it out just like you have been.
Yes to this. Take no alternative actions. Just keep investing and don't watch the market for a year or two.
There is the separate risk that Microsoft, Google, etc. will have a lower value in two years as governments get their migration off their platforms into full gear
Doing nothing different is the kind of plan I can easily execute !
“Markets can remain irrational longer than you can remain solvent.” ― John Maynard Keynes
It doesn't have to be 'ride it till it dies' or 'sell everything'. The AI bubble is almost exclusively contained to the US stock market and a few east Asian manufacturers.
You're right that selling everything and 'going to cash' would be a mistake, but diversifying away from US large cap growth absolutely wouldn't. I'm 60/40 stocks/bonds. My stocks and bonds are 50/50 us/intl. ~ 10% of my us portfolio is small cap value.
What's funny to me is that nobody learns from the past. This is far from the first tech bubble we've had even before the .com crash (canals, railroads, radio...). The answer, every time was diversification.
The east Asian semiconductor manufacturers are selling shovels in the gold rush and being very cautious about expansion given how capital-intensive the whole sector is. It's hard to come up with a scenario where they outright lose, even with the bubble popping.
I mean there's also a cost to not expanding too, in that you're leaving money on the table. I doubt they've really been able to resist the siren call of basically being able to print more money, but if the AI bubble collapses and they're left selling most of their production to consumers, they're gonna have a lot of stranded capital. Here's hoping they're smart enough to build a big war chest to weather the storm, but in my experience, companies rarely do.
Invest into stuff that people will need regardless of the bubble popping like medicine, food, internet access, energy, ... . Stay away from luxury/travel stuff.
Also, during a crash there is the so called "flight for quality" where people cash out from risky assets and invest in stable ones that can weather the storm. So, try to invest in assets that are A or above (https://en.wikipedia.org/wiki/S%26P_Global_Ratings). The chart is for countries, but analysts grade companies as well in case you want to stay away from treasuries/national bonds.
Also diversify geographically. US will likely take the biggest hit if the bubble pops, so perhaps European markets that lagged behind in adopting the technology are safer (IMHO).
Personally, I am preparing by moving money from growth items to stable ones a bit at the time. To diversify even further I am using ETFs that, in addition to what mentioned above
1) pay dividends (whether these distributed or reinvested doesn't really matter) 2) are denominated in or hedged in safer currencies (CHF especially, but also Euro)
You definitely get smaller returns, but the name of the game is to maintain what you have, not to make heaps of money.
Finally, I am not a financial advisor, so do your own valuations/risk assessment analysis.
Buy gold.
Current US debt to gdp is 124%, 38.6 trillion. Japan too at 230-240%.
Bond markets in both are looking seriously unhealthy (Japan going via a Liz Truss moment at present).
If the AI bubble falls over, the US government is going to have to print 5 trillion to cover the bubble at least. The only option there is inflate away anyone holding cash.
If hte AI succeeds and people are replaced, the US government faces a massive fiscal cliff of a loss of tax receipts. They won't be able to service the debt and again will be forced to inflate away.
To service current debt projects, AI growth needs to return some 3.2-3.5%, it is currently 0.5%.
Bonds, equities, USD, and housing are all risk assets right now.
Almost all the gains in the SNP500 are NVidia, and other huge tech.
https://www.investopedia.com/your-s-and-p-500-index-fund-mig...
https://www.cnbc.com/2025/10/22/your-portfolio-may-be-more-t...
Buy Puts
>It will be worse than the dot com bust.
And whose fault is that?
Big scale fraud like this always has its origin and motive force in the executive suite and board.
However, the consequences are always applied to everyone but the executives and board.
The post dot com winners? Ironic.
> And whose fault is that?
Primarily the fault of our governments not using anti-trust laws for real in, like, decades.
Governments actually do have the power to regulate the economy and to prevent catastrophic crashes from occurring. The warning signs for the AI bubble have been visible for well over a year now, when the entity relationship map between the major players began to resemble a Habsburg family tree... and yet, nothing was done.
This is EXACTLY where I was getting at. People raise their fists at big-tech and big-finance for creating a bubble whose splash damage will hurt everyone, but it's ultimately the government's job to monitor, regulate and prevent this.
The reality is even worse than this. It's not that the government is asleep at the wheel, it's that all financial crises were caused by government intervention to begin with (2009 subprime government backed mortgages, 2020 covid money printing, etc). The big banks, corporations and wall street were only taking advantage of the situation the government helped create in order to enrich themselves.
Average people would have also loved to have taken advantage of it to enrich themselves, if they could understand the system well enough to game it, and some do, so it's not like the blame is only on one participant, but pretty much everyone is to blame:
- the government for creating asset bubbles and closing an eye as it is inflating
- corporations and super wealthy for being greedy and exploiting the system created and run by the government
- the voters for being uneducated and stupid and not seeing the government rob the blind, or for being greedy and complicit on the asset bubble for personal gain, and not holding the government accountable
Maybe I'm misunderstanding your position, but no regulations is certainly not better than some regulations, assuming the people in government positions have the actual best interests of the country in mind. Deregulation specifically led to the sub-prime mortgage crisis and the current situation, not the existence of regulations itself.
>but no regulations is certainly not better than some regulations,
I never meant such a thing.
>assuming the people in government positions have the actual best interests of the country in mind
They don't. They care about themselves and the lobbyists paying them, and sometimes they throw you a bone to win an election.
>Deregulation specifically led to the sub-prime mortgage crisis and the current situation, not the existence of regulations itself.
Deregulation is also a form of regulation because the government is the one that removes the previous safeguards put in place via new regulations. And Clinton was the one responsible for the sub-prime mortgage deregulation.
I'm aware. I lay it at the feet of neoliberals generally.
> astronomical overprovisioning
???
Literally all the cloud providers have been reporting severe capacity crunches for the past few quarters -- to the tune of backlogs of triple-digit billions each. As a reminder, a backlog or "Remaining Performance Obligation" (RPO) is money their customers have committed to them but they could not realize because they didn't have enough capacity to serve their workloads. Which is why they are all committing to double-digit billions each in AI CapEx spend over the next few quarters.
And most of them (aside from Oracle, which is trying to borrow its way into this gold rush) are investing money from their double digit billions in profit (per quarter!) into this spend... money that they could have otherwise comfortably held on to for something more palatable to share-holders.
Revenue and return on investment is a valid concern to bring up in this whole GenAI shebang; demand is not.
I thought this was already revised? Jensen Huang said they’ll be investing more than ever:
> Nvidia is likely set to make its “largest ever investment” in ChatGPT firm OpenAI, despite reports that the deal may be under threat in recent weeks. The chip giant’s CEO, Jensen Huang, didn’t say exactly how big the investment would be, but said it would be “nothing like” the $100 billion figure mentioned in the September partnership agreement.
https://www.pcmag.com/news/nvidia-ceo-well-make-our-largest-...
The “largest ever investment” remark felt less like confidence and more like a “nothing to see here, move along” PR reflex.
Down to levels as low as where they were a few days ago, lol