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Discussion (220 Comments)Read Original on HackerNews
For example, Amazon just had a challenging bond offering where the market is clearly starting to seriously question the ROI on all this money being pumped into AI buildout. That does not bode well at all for AI-only companies without broader cash flow from other businesses. And when the cash dries up this whole thing comes crashing down like a house of cards.
It's worse than that - I believe that Oracle is one of the (many) companies right now that, if their AI experimentation fails, will stop the music, and everyone will be running for a chair.
Oracle is one of a few foundational components in the circular-investing group of AI companies. If they fail to make their commitments they're the first domino to fall.
A few puts on SPY dated a year or two out?
Never buy derivatives as a non institutional investor.
#2: What I've done so far: Haven't bought stock in a year. Have moderate short positions on Palantir, SpaceX, and Tesla. Have big short positions in the most popular Quantum computing companies. (Scams IMO). I have sold most of my positions ("profit taking"?) in stocks which have gone up a lot in the past year. (Nvidia, Broadcom etc), and am no longer using margin; about 1/3 of my brokerage value is now "cash", generating ~3% interest.
There are almost surely severe bumps ahead for the AI space and that will likely spill over into the broader market. But unless you’re retiring in the next few years don’t worry about it. You can’t time the ups and downs and the only proven strategy is to just keep investing in a broad indexed portfolio and just ride out. You’ll take a short term hit but also end up buying on the dip because you don’t stop investing.
I dunno.
"The market can remain irrational longer than you can remain solvent"
You think the hedge funds selling SPY options don't have this priced in already? Of course, you can still make money on this bet, just like you can win money at a roulette table, but unless you think have some special insight that hedge/quant funds don't have, buying options should be negative EV.
Yet, even now, Fable is able to do the work of 4-5 engineers when used by a single senior engineer. Teams can and will shrink.
Look at all the production and advertising companies switching over to Seedance. I know ad firms bidding 1/4th their typical contract price (pharma, P&G, etc.) and winning contract after contract.
This isn't dotcom "dark fiber" before demand. The demand is here now, big legacy firms are just struggling with deploying it. Nimble small teams are making a killing.
It doesn't matter to investors if OpenAI or Anthropic can build AGI if a year later 10 competitors have similar models and eat into the revenue. OpenAI and Anthropic needs years, if not decades, of significant market dominance, post-enshitification, to justify their investment spend.
> Everyone in the tech and media world is dead set on this being a bubble.
is completely orthogonal to this:
> Yet, even now, Fable is able to do the work of 4-5 engineers when used by a single senior engineer.
The industry being in a bubble or not is irrelevant to the tech being good or bad. The dot-com bubble popped (and was a bubble) even while the tech was fit for purpose.
If that's true or not, it's a bit irrelevant. Maybe teams won't shrink because of Jevon's paradox, or maybe tech debt will catch up.
But it doesn't matter because the people calling this a bubble mostly believe that the companies burning money cannot have the return on investment needed. This can be for a variety of reasons, but my favourite one is just that open source AI models are good enough, cost a fraction of what the frontier ones do (with predictable costs), can be fine tuned, and can be relied upon (no orange tweet banning your acces to the model you've been using). So for me OpenAI and Anthropic will really struggle to merit their valuations.
And then companies like Oracle are just a dumpster on fire. GPU hosting is a commodity business; expensive one, for sure, but there's no way in hell they'll make actual returns on the money burned with zero moat. And things are even worse when you consider the political involvement of the CEO and his nepo baby, which can easily burn good will.
This story has been playing out for years now, and reads to me like the market simply recognizing that Oracle is not in the same business as it once was. It could succeed, wildly, at this new thing, but its risk isn't going to be valued based on the business it was 10 years ago.
Oracle is in a weird shape.
The problem in this market is that too many players are trying to play a winner-takes-all angle.
For the companies that pull it off, it could be very lucrative.
In a real market we’ll get a couple of big winners rather than one, but there isn’t enough room for all of these moonshot efforts to land.
I don’t see the whole thing coming crashing down, but I do see a consolidation coming that leaves some companies in a very bad state.
Meta and Microsoft both are also significant makers of GenAI models that are public, though neither has a big tentpole LLM line that they sell access.to commercially like OpenAI, Anthropic. Google, SpaceX, which I infer might be what you mean by major model maker.
If you're selling deterministic output, just use traditional code. If you product is inference, it has to be the best inference. This becomes more apparent when you bounce between powerful models and smaller cheaper ones, the cheaper ones _feel_ worse to use.
Is Meta even in this race anymore?
All that to say: I had to move my focus around a bit and re-read "...pumped into AI buildout." several times, because I thought I was reading Ed Zitron :D
That's not a good sign and it's a blatant red flag for the market
Managing the total amount of money so that investment bubbles peter out before they get excessively big is supposed to be the central bank's job.
What ROI? There was no return, and there currently isn't any return on investment, because those companies did not exit yet!
The exit plan is to offload overpriced shares, that they paid billions for, onto the public market. If they don't IPO, those investors get nothing.
If Oracle is highly leveraged or betting the farm on AI, then their credit worthiness goes down.
Alternatively, if money floating around to make loans is drying up, companies have to offer better terms to attract the dwindling supply
I keep seeing these unsubstantiated claims. They’re out to get us and just pump and dump on public markets!
Yet, before they IPO they have to go around and do what? Who sets the IPO price? Who buys the shares? If the shares tank, the valuation of the company goes down and locked up shares lose value. It’s not really in anyone’s interest for IPOs or investments to fail and while pump-and-dump schemes certainly exist they are not the norm. The conspiracy theory level of distrust and cynicism is not healthy and makes one a very poor investor.
If individual investors are buying shares and getting blown up, that’s their problem. Invest and due your own research. Broad market funds exist and have so for decades. Most financial advisors even will put you in to those funds and corporate 401k plans while increasingly allowing for more investment flexibility (freedom is good) default and educate employees by default on target date funds and index funds. There is a wealth of information out there.
In what sense?
This may be related to the commonly-held fallacy of "cash on the sidelines". Cash is always on the sidelines. Cash is not created or destroyed by buying and selling stocks or bonds. Cash is simply handed from one party to another, but the cash has to be held by somebody.
What? No it's not, and never has been.
Without even getting into the practical vs. theoretical of Fed dual mandate (funding deficits), even the most uncharitable take on modern CBs wouldn't suggest this.
Downgrade of credit worthiness is different. That depends on how leveraged the company is
https://en.wikipedia.org/wiki/Tulip_mania
> No of course there isn't enough capital for all of this. Having said that, there is enough capital to do this for a at least a little while longer. -- Gil Luria (Managing Director and Analyst at D.A. Davidson)
https://www.forbes.com/sites/jonmarkman/2026/04/06/oracles-m...
In addition to that the form basically only worked in Edge. We emailed support, they changed something on the backend. It still did not work. We gave up.
In retrospective that was a very clear warning sign that their priorities were misguided. I'm glad we did not waste any further time and effort on them.
Then they terminated my free trial early with no explanation. I tried to add a payment method again and it didn’t work.
It turned into a bigger joke when Oracle sales people started emailing me to ask how my trial was going. They must have been given a list of email addresses and no information about the accounts. I would ask them for help getting my account unlocked or adding a payment method, they would send me emails for a couple weeks saying they were looking into it, then they’d ghost me.
Then a month later a new sales rep would email me and start the process over.
I checked Reddit and there were dozens of stories with the same experience.
Any hosted service can be bent into the shape of a cloud. Large parts of Oracle Cloud balance sheet is probably just hosted PeopleSoft and similar.
They have this in common with IBM which, at least on paper, have a large cloud business.
CrowdStrike and Uber
> Hetzner
I don't know of any upper market EMEA customers on Hetzner. I've met Scaleway, OVHCloud, and even STACKIT users but never Hetzner.
I'm guessing they don't care if actual business gets caught up in that because from their POV actual business comes from an account manager, and self-serve is just them cargo culting AWS/GCP
Uh, good luck guys.
Wouldn't want to be negative at a time like this.
What does that tell me? Just one of many things about the prospects of the deal still happening. That one in particular says to me they won’t be deterred. Bond rating may suggest the opposite. Lots more complexity than those two things but “fun” to speculate.
[1] https://en.wikipedia.org/wiki/Heise_Group
I use their services, but I frankly don't care who provides it. I'll chase the chepest/best and have no issue switching from one to another.
The only moat I can see is Microsoft providing its services to companies in its Azure system. Nervous IT departments probably like that it's not leaving their control if Bob in the SAP team spins up some AI crap.
This is the leap, nobody really wants to front a model for someone else. If i build an agent, or a service that requires a model, I'd prefer to push the model onto someone else, preferably at no cost. This is a leap as I'm sure right now, most people / businesses are thinking actually i do want to own / front the model.
However, if you accept the leap the easiest way to do this is to make the model the users problem.
From a business point of view that makes things really easy, from a customer point of view, they simply have to accept whatever their vendor of choice is pushing down their throats.
So as a business I build for whatever model Google makes available to android, and whatever model windows bundles, and whatever model Apple bundles, and, excluding the long tail of Chinese vendors and Linux (sorry, its always left out) and that's it, problem solved, and the customer picks up the tab for the tokens
https://www.youtube.com/watch?v=2J2Fb1bBufA
But I switched from ChatGPT to Claude 3 months ago because my account was down for like 6 hours. I haven’t used it since. It’s too easy to switch away from chatbots on a whim. There is no moat for that.
But... Anthropic doesn't have a moat. It's clear at this point that SOTA models are not a moat, and Opus 4.6-level (or GLM 5.2) is sufficient.
Google, though... they own the entire vertical, from the semiconductors to the end-user software. They may have a moat.
There are competing definitions of what intelligence even is, and the one that I find most striking is from Francois Chollet which is that intelligence can be boiled down to skill acquisition efficiency. This type of definition makes intelligence more akin to polishing a ball than growing a watermelon.
The superintelligence doomers warn that the watermelon is going to start growing exponentially and crush everyone. But what might actually be happening is that we are not growing a watermelon but rather polishing the ball until its really smooth and shiny. There's a point where you can get it to micron levels of polish but for most tasks (white collar text domains tasks), it's smooth enough! You will be able to go to the ball store and buy a low cost made in china ball for most tasks.
The real challenge is actually branching out domains and modalities to tackle things like blue collar labor. Over time, white collar work automatable or able to be made hyperefficient by LLMs will see LLM commoditization.
It’s not much of a moat, but it’s more than a lot of orgs have.
https://www.youtube.com/watch?v=2J2Fb1bBufA
and they STILL went out of business because they over-estimated the demand for their shitty rails they built to the middle of nowhere. Same with "AI."
https://www.youtube.com/watch?v=2J2Fb1bBufA
That's a losing proposition for any token provider - it's expensive and slow, and when you're done everyone with money to rent a last-gen H100 is going to distill your "closed" model anyway.
The specialized models for targeted verticals being discussed may well not be sold by tokens, but instead be behind the scenes powering dedicated packaged solutions where the customers don't have raw access to the model. Token providers still won’t have a moat, but AI isn't just selling tokens.
G. A. H.
edit: Y'all downvoters want genAI in your cars?!
Vendor lock in cannot happen, or you're bankrupt.
Their new endpoint even promises zero operator access [0]
[0] https://aws.amazon.com/blogs/machine-learning/exploring-the-...
No value judgement. I think this is a fantastic strategy.
For the hyperscalers, there is an ease of remaining in the Azure/AWS/GCP fabric from a data provenance perspective, particularly for regulated industries or large, risk-averse enterprises. There's also, of course, a certain network egress tax in most cases.
Only thing holding them back is fab capacity which nVidia keeps buying in bulk to keep them small.
Nvidia's entire business is dependent on Google not being able to make TPUs fast enough.
Now back to the conversation, do any of the gold miners have a moat? Or is this a race to the bottom?
They're the only player in the Identity-Document-Email-VM-Storage space that's even remotely unified.
I don't know what possessed Ellison to ruin a functioning company, but it will be interesting if he gets a margin call for ORCL's other debt exposures, which are Ellison's massive loans against his ORCL stock.
it only "works" if the government actively does everything in its power to support the boom. No restrictions on new power sources, on pylons and transformers, on new factories to make power sources and compute, on data centres.
This was never going to be the world we live in.
Still surprised by the admin actively punishing politically incorrect power supplies (renewables) and then starting a stupid war with Iran, but even without that nonsense, we were never going to see the US do a command economy pivot, and even if we had something would've broken like it usually does with noobs (and even most politicians are noobs) trying a command economy pivot.
That site is too funny :-)
> [mid-2026] But China is falling behind on AI algorithms due to their weaker models.
> Reliable Agent copies thinking at 13x human speed
Still waiting for a reliable agent to think at any speed.
Same thing that drives all these execs of large companies - naked greed!
"If only we can fire all workers, imagine how profitable we'll be!"
They are attempting to set civilisation on fire with the intention of being on top when they no longer need humans.
Anyway...
They'll give a bribe to Trump, they'll offer up 5% of the stock to Chairman Trump as the People's Stock now that the US is basically a bizarre oligarchy form of communism, and Oracle will be declared a state enterprise that cannot lose money.
The super rich simply do not fail, and they utterly control every aspect of the US now, exactly as the people apparently wanted.
Americans are in a state of profound denial, but things are about to become very real, very quickly.
A little bit dangerous for a US administration (any US administration) to do a bailout of unloved companies just before a midterm.
Not that Trump won't do it, just saying that he'll think twice about it if he wants to hold on to the power that the American people have given him. It's one thing to boast that he can shoot someone in the street and the public won't care, quite another to tell the masses that he's funding their upcoming unemployment using their tax money :-)
I can't tell if this is supposed to be sarcasm or not :-/
Aren't all the token providers right now over-provisioned? They aren't trying to use up all their capacity, they're selling it to one another.
Given that Oracle and Microsoft are major counterparties of OpenAI, it seems odd that their stocks have been performing so poorly recently. Can anyone square this circle for me?
It’s like saying a new apartment building is “profitable” because the monthly income covers the monthly running costs, but ignoring the giant mortgage that covers the cost of building the building. That thinking is a good way to go bankrupt in real estate and a good way to go bankrupt in AI.
Or that it’s all hearsay and no one has released financials yet?
That's why it's so hard to get a residential mortgage, for example. It's more of a partnership, with more mutual vulnerability, than most people think. Same thing seems to be true here.
Given what happened with xAI’s excess capacity lease to Anthropic, and Meta’s noises about doing the same, seems likely that the demand for inference will continue to slope upwards for a while. If I’m Oracle, I’m not worried about being able to utilize the data centers I’ve built for some price, almost certainly a profitable one.
I’m guessing, though, that Oracle made their capital investments on assumptions of a higher price & return. Possibly because it wasn’t clear when these decisions were made how much competition OpenAI would have at the frontier.
I don’t think this math is all that hard. Capital markets have everything they need to start to figure it out, most especially a year or two of history to project forward.
Oracle holds 15% & is the hosting provider, Silver Lake has a stake, MGX (UAE state backed firm) owns some as well.
But Oracle still manages the content recommendation algorithm and the infrastructure so I'd argue they still have the biggest impact on the platform.