Is it me or do none of the AI companies have a "moat" in the Ben Grahmm sense.
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.
You may not care, but a lot of people I know care what brand chat bot they use personally,. usually it's tied to trust and reputation more than anything else. People are fickle.
I've found that there is value in consuming AI services from your existing cloud provider. Customers and auditors have less of an issue with "we use AI services from AWS/Azure/GCP" if the data was already in those clouds and it doesn't expand the risks of data being breached, or trained on, by some other provider.
When you are already trusting 100% of your data, and computing on that data, to someone like AWS, it doesn't meaningfully increase risk to use an additional service, even if it is an AI service.
True. The linked article's title says that. I wonder if that was a typo by the OP or one of those HN quirks where the title was automatically changed when it shouldn't have been.
There is AI data center overcapacity already. The KOSPI crashed last week, and it's a leading indicator for the cyclical hardware industry. It already had been that indicator in the 2000 bubble.
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.
The KOSPI went up already 125% in the past year, so some sort of correction was inevitable, even if the underlying companies are healthy. The crash has been exacerbated by South Koreans levering up heavily in the past few months and now getting wiped out.
This is surprising to me. Judging by what appears to be the common sentiment here on HN - which is that AI inference is already profitable, and OpenAI is fairly valued by private markets.
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 is isn't enough for inference to be profitable, the whole organization has to be profitable enough to keep investors from looking elsewhere for a return.
I looked this up yesterday triggered by their threat to move the combined company out of CA. Oracle’s stock price, at least, which is way off its 52-week high, is about the same as it was at the time the WBD deal was announced.
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.
Market signals on an impending AI bust are broader than just Oracle’s woes.
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.
> Market signals on an impending AI bust are broader than just Oracle’s woes.
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.
Nothing says “full of shit” like someone saying “market is signaling an impending X”. Why not make a huge levered bet and get wildly rich if you think so?
This is a pretty Oracle-specific situation, isn't it? They bet the company on an AI infrastructure buildout and levered hard to do it. Google, Amazon, and Microsoft aren't in comparable situations. Oracle is transforming itself into a value-added CoreWeave (not just in terms of product packaging but also the financial structure of the company), in a way the other hyperscalers aren't.
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.
This site is shady as hell. You try to decline marketing in their pop-up and it hides maybe a 100 providers and expects you to click each one individually.
a site can be annoying or shady regardless of who it's from. i was personally very turned off by the heavy-handed popup and resorted to reading a recently archived version of the link.
Levered free cash flow (LFCF) is the cash remaining after a company has paid its debts and operational costs. Oracle has 167.43B debt. $43 billion in last fiscal year.
Google, Meta, Microsoft, Amazon will be fine if AI bubble bursts. Oracle will be among first to go down in flames after OpenAI.
Is just wild to me people thinking ai is tulip fever or a massive bubble when every part of my life ai is entering. Even these forums 35 percent of posts are ai or vibe code related. At work (medical field) ai is replacing scribes and it can read an ecg better than your average doc. TSMC and chip companies are using in their pipelines. Pharm and bio companies are using. Archeologists are using to decode scrolls and find new petroglyphs. Education and tutoring will never be the same ... kids got lucky having YouTube but now you basically have your private tutor. Vfx is being infiltrated. Computer security. I look around and robots are delivering my food and waymo is picking me up. I turn on the news and in the last couple months Ukraine is now using ai targeting on their drones in addition to the machine vision. My apartment complex recently had a renovations and paint job and my landlord showed me how they designed the color scheme and renovations with chat gpt before getting a crew to do the work. I made an app for my family photography contest for the first time something I never dreamed of at 40 years old with no programming knowledge. I updated my framer website faster than I ever have with Ai.
So please explain to me how this is a bubble especially considering that most of these feature are based on llm and not even on how we primarily interact with the world ...visually. the bubble will happen after I can turn on a webcam and the program watches me draw or do a golf swing and gives me realtime tips or i put on some ar glasses and it coaches me at work .
The amount of compute needed for graphics real time info is astronomical compared to llm . We are so far from the top of a bubble. The problem with ai in my opinion invest with the mindset that what goes up must come down and if it went up big it must come down hard soon. That's not a rule of nature or anything somethings are bedrock and keep going up. I'm sure when electricity was invented and reached every house maybe some people thought the bubble was over but we keep needing more and more. There is zero evidence now that we will need less ai compute.
I think it's logical to be skeptical of chatgpt IPO etc but the sector as a whole is crushing and maybe because of fear will have some hiccups but will certainly prevail for a long time imo
50 comments
[ 3.0 ms ] story [ 64.3 ms ] threadI 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.
When you are already trusting 100% of your data, and computing on that data, to someone like AWS, it doesn't meaningfully increase risk to use an additional service, even if it is an AI service.
Wouldn't want to be negative at a time like this.
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.
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?
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.
https://www.forbes.com/sites/jonmarkman/2026/04/06/oracles-m...
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.
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.
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.
[1] https://en.wikipedia.org/wiki/Heise_Group
Anyway...
Levered free cash flow (LFCF) is the cash remaining after a company has paid its debts and operational costs. Oracle has 167.43B debt. $43 billion in last fiscal year.
Google, Meta, Microsoft, Amazon will be fine if AI bubble bursts. Oracle will be among first to go down in flames after OpenAI.
So please explain to me how this is a bubble especially considering that most of these feature are based on llm and not even on how we primarily interact with the world ...visually. the bubble will happen after I can turn on a webcam and the program watches me draw or do a golf swing and gives me realtime tips or i put on some ar glasses and it coaches me at work .
The amount of compute needed for graphics real time info is astronomical compared to llm . We are so far from the top of a bubble. The problem with ai in my opinion invest with the mindset that what goes up must come down and if it went up big it must come down hard soon. That's not a rule of nature or anything somethings are bedrock and keep going up. I'm sure when electricity was invented and reached every house maybe some people thought the bubble was over but we keep needing more and more. There is zero evidence now that we will need less ai compute.
I think it's logical to be skeptical of chatgpt IPO etc but the sector as a whole is crushing and maybe because of fear will have some hiccups but will certainly prevail for a long time imo