I don't see a bubble, I see a rapidly growing business case.
MS Office has about 345 million active users. Those are paying subscriptions. IMHO that's roughly the totally addressable market for OpenAI for non coding users. Coding users is another few 20-30 million.
If OpenAI can convert double digit percentages of those onto 20$ and 50$ per month subscriptions by delivering good enough AI that works well, they should be raking in cash by the billions per month adding up to close to the projected 2030 cash burn per year. That would be just subscription revenue. There is also going to be API revenue. And those expensive models used for video and other media creation are going to be indispensable for media and advertising companies which is yet more revenue.
The office market at 20$/month is worth about 82 billion per year in subscription revenue. Add maybe a few premium tiers to that at 50$/month and 100$/month and that 2030 130 billion per year in cash burn suddenly seems quite reasonable.
I've been quite impressed with Codex in the last few months. I only pay 20$/month for that currently. If that goes up, I won't loose sleep over it as it is valuable enough to me. Most programmers I know are on some paid subscription to that, Anthropic's Claude, or similar. Quite a few spend quite a bit more than that. My Chat GPT Plus subscription feels like really good value to me currently.
Agentic tooling for business users is currently severely lacking in capability. Most of the tools are crap. You can get models to generate text. But forget about getting them to format that text correctly in a word processor. I'm constantly fixing bullets, headings and what not in Google docs for my AI assisted writings. Gemini is close to ff-ing useless both with the text and the formatting.
But I've seen enough technology demos of what is possible to know that this is mostly a UX and software development problem, not a model quality problem. It seems companies are holding back from fully integrating things mainly for liability reasons (I suspect). But unlocking AI value like that is where the money is. Something similarly useful as codex for business usage with full access to your mail, drive, spread sheets, slides, word processors, CRMs, and whatever other tools you use running in YOLO mode (which is how I use codex in a virtual machine currently, --yolo). That would replace a shit ton of manual drudgery for me. It would be valuable to me and lots of other users. Valuable as in "please take my money".
Currently doing stuff like this is a very scary thing to do because it might make expensive/embarrassing mistakes. I do it for code because I can contain the risk to the vm. It actually seems to be pretty well behaved. The vm is just there to make me feel good. It could do all sorts of crazy shit. It mostly just does what I ask it to. Clearly the security model around this needs work and instrumentation. That's not a model training problem though.
Something like this for business usage is going to be the next step in agent powered utility that people will pay for at MS office levels of numbers of users and revenue. Google and MS could do it technically but they have huge legal exposure via their existing SAAS contracts and they seem scared shitless of their own lawyers. OpenAI doing something aggressive in this space in the next year or so is what I'm expecting to happen.
Anyway, the bubble predictors seem to be ignoring the revenue potential here. Could it go wrong for OpenAI? Sure. If somebody else shows up and takes most of the revenue. But I think we're past the point where that revenue is not looking very realistic. Five years is a long time for them to get to 130 billion per year in revenue. Chat GPT did not exist five years ago. OpenAI can mess this up by letting somebody else take most of that revenue. The question is who? Google, maybe but I'm underwhelmed so far. MS, seems to want to but unable to. Apple is flailing. Anthropic seems increasingly like an also ran.
There is a hardware cost bubble though. I'm betting OpenAI will get a lot more bang for its buck in terms of hardware by 2030. It won't be NVidia taking most of that revenue. They'll have competition and enter a race to the bottom in terms of hardware cost. If OpenAI burning 130 billion per year, it will probably be getting a lot more compute for it than currently projected. IMHO that's a reasonable cost level given the total addressable market for them. They should be raking in hundreds of billions by then.