Oracle will likely fail. It funded its AI pivot with debt. The Debt-to-Revenue ratio is 1.77, the Debt-to-Equity ratio D/E is 520, and it has a free cash flow problem.
OpenAI, Anthropic, and others will be bought for cents on the dollar.
Oracle will likely fail. It funded its AI pivot with debt. The Debt-to-Revenue ratio is 1.77, the Debt-to-Equity ratio D/E is 520, and it has a free cash flow problem.
OpenAI, Anthropic, and others will be bought for cents on the dollar.
It's actually 520% or 5.2 - still high but 520 would be crazy.
Survive, yes. I don't think anybody ever questioned this.
I wonder if they will be able to remain as "growth stocks", however. These companies are allergic to be seen as nature companies, with more modest growth profiles, share profits, etc.
And just like 23andme, so will all that data be sold for dimes.
I have got news for you...
They are one of the few companies actually making money with AI as they have intelligently leveraged the position of Office 365 in companies to sell Copilot. Their AI investment plans are, well, plans which could be scaled down easily. Worst case scenario for them is their investment in OpenAI becoming worthless.
It would hurt but is hardly life threatening. Their revenue driver is clearly their position at the heart of entreprise IT and they are pretty much untouchable here.
And even then, if that happens when the bubble pops, they'll likely just acquire OpenAI on the cheap. Thanks to the current agreement, it already runs on Azure, they already have access to OpenAI's IP, and Microsoft has already developed all their Copilots on top of it. It would be near-zero cost for Microsoft at that point to just absorb them and continue on as they are today.
Microsoft isn't going anywhere, for better or for worse.
Despite them pissing off users with Windows, what HN forgets, is they aren't Microsoft's customer. The individual user/consumer never was. We may not want what MS is selling, but their enterprise customers definitely do.
Azure is a product all right, but there’s nothing particularly better there than anywhere else.
Google is only place that serves the enterprise (Workspace for productivity, Cloud for IT, Devices for end users) AND conducts meaningful AI research.
AWS doesn't (they can sell cloud effectively, but don't have any meaningful in-house AI R&D), Meta doesn't (they don't cover enterprise and, frankly, nobody trusts Zuck... and they're flaky.
Oracle doesn't. They have grown their cloud business rapidly by 1) easy button for Oracle on-prem to move to OCI, and 2) acting like a big colo for bare metal "cloud" infra. No AI.
Open AI has fundamental research and is starting to have products, but it's still niche. Same as Anthropic. They're not in the same ball game as the others, and they're going to continue to pay billions to the hyperscalers annually for infra, too.
This is Google's game to lose, imho, but the biggest loser will be AWS (not Azure/Microsoft).
Tesla (P/E: 273, PEG: 16.3) the car maker without robots, robotaxis is less than 15% of the Tesla valuation at best. When the AI hype dies, selloff starts and negative sentiment hits, we have below $200B market cap company.
It will hurt Elon mentally. He will need a hug.
OpenAI, Anthropic, and others will be bought for cents on the dollar.
OpenAI is existential threat to all big tech including Meta, Google, Microsoft, Apple. Hence, they're all spending lavishly right now to not get left behind.Meta --> GenAI Content creation can disrupt Instagram. ChatGPT likely has more data on a person than Instagram does by now for ads. 800 million daily active users for ChatGPT already.
Google --> Cash cow search is under threat from ChatGPT.
Microsoft --> Productivity/work is fundamentally changed with GenAI.
Apple --> OpenAI can make a device that runs ChatGPT as the OS instead of relying on iOS.
I'm betting that OpenAI will emerge bigger than current big tech in ~5 years or less.
OpenAI does not expect to be cash-flow positive until 2029. When no new capital comes in, it can't continue.
OpenAI can's survive any kind of price competition.
They have infrastructure that serves 800 million monthly active users.
Investors are lining up to give them money. When they IPO, they'll easily be worth over $1 trillion.
There's price competition right now. They're still surviving. If there is price competition, they're the most likely to survive.
Your premise is that there is no bubble. We are talking about what happens when bubble bursts. Without investor money drying out there is no bubble.
Even worse, they train their model(s) on the interactions of those non-paying customers, what makes the model(s) less useful for paying customers. It's kind of a "you can not charge for a Porsche if you only satisfy the needs of a typical Dacia owner".
They have <a really expensive> infrastructure that serves 800 million monthly active <but non-paying> users.
I don't pay Meta any money too. Yet, Meta is one of the most profitable companies in the world.I give more of my data to OpenAI than to Meta. ChatGPT knows so much about me. Don't you think they can easily monetize their 800 million (close to 1 billion by now) users?
This is why Meta is all in on AI by the way. With nearly 1 billion users, ChatGPT is a huge threat to Meta's ad empire.
People are on Facebook to interact with other human beings, not LLMs. People won't leave Facebook to use ChatGPT.
Creeping. ChatGPT is becoming more than just a "talk with an LLM" app.
I am pretty sure they will be able to monetize it. But there is a big difference between "generating revenue" and "generating profit". It's way cheaper to put ads between posts of your friends (like FB started out with ads) then putting ads next to the response of an LLM. Because LLM responses has to be unique, while a holiday photo of yours might be interesting for all of your friends, and LLM inference is quite expensive, while hosting holiday photos is cheap. IMHO this is the reason why the 5th generation of ChatGPT models try to answer all possible questions of the world in one single response, kinda hoping that I am going to be happy with it an just close the chat.
This is the problem with your original argument. It assumes that having a "good model" (e.g. one that performs well on some benchmarks) has somehow to do with something in the real world. It doesn't. If you can show that it does, your thesis might have at least a glimmer of credibility.
The idea that a chatbot will somehow displace an operating system is the kind of absurdity that follows from making this error.
Yeah... No they can't. I don't agree with any of your "disruptions," but this one is just comically incorrect. There was a post on HN somewhat recently that was a simulated computer using LLMs, and it was unusable.
But it is clearly the direction. Apple will try to stave off this move by turning iOS more into an LLM as well.
Ah yes, PromptOS will go down in the history books for sure.
I seriously doubt it. If this bubble pops, the best OpenAI can hope for is they just get absorbed into Microsoft.
Or, instead of spending billions training models that are nearly all the same, they instead take advantage of all the datacenter full of GPUs, and AI companies frantically trying to make a profit, many most likely crashing and burning in the process, to pay relative pennies to use the top, nearly commoditized, model of the month?
Then, maybe someday, starting late and taking advantage of the latest research/training methods that shave off years of training time, save billions on a foundation model of their own?
I don't think it makes sense for Apple to be an AI company. It makes sense for them to use AI, but I don't see why everyone needs to have their own model, right now, during all the churn. It's nearly already commodity. In house doesn't make sense to me.
AI isn’t bullshit, but selling access to a proprietary model has certainly not been proven as a business model yet.