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this post was submitted on 11 Oct 2026
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At this point, I'm not sure it will crash anymore. Reasonably it should have crashed months ago! Why didn't it?
Artificial propping up, as usual. Which will continue to happen as long as blatant corruption continues to occur, and uh...narrows eyes at current admin
People have been cautiously pointing toward mid-to-late 2027 for a while now, as that's when a lot of the huge loans are coming due.
A lot of the DCs have to be built, before they can go bankrupt. It is that stupid.
I think companies like Oracle are on the hook whether those DCs get built or not.
Oracle is cooked already for sure.
Don't get my hopes up like that.
Wouldn't people sell out like a bit before that then?
And wouldn't people sell out before that then?
Etc.
Not sure what you mean. If you mean "cashing out", that's what the IPOs are for.
Is the time limit not up on those? (I really don't have the foggiest about how big a part they play in the total valuation of it all).
But yes I meant selling off/cashing out.
Not sure what you mean by time limit, but the challenge they're facing is to IPO at just the right time to get the highest valuation and keep it up long enough for the private investors to cash out. Things like Anthropic/OpenAI financials leaking put a dent in this plan, as it could tank the valuation, but AFAIK it's all financial black magic mixed with regular guesswork and playing chicken with each other in terms of if/when.
Ah might have mixed it up with elons ipo, which had some time limit before you could sell, IIRC.
Everybody knows it will crash.
Some very powerful people are going to lose a lot of money when it crashes.
They are doing everything they can to postpone the crash, or scam others into taking the fall.
They'll lose a lot of potential money, but I can guarantee the ringleaders will end up much wealthier. Just like every time before, the taxpayers will foot the bill for fixing this.
Starting to look like the nuclear fusion energy thing. "It's going to be ready in 20 years!", they said for 50 years.
AI is good at a few things that have real world value. It recently dropped 200+ mathematical proofs that are real and genuine but are the lowest hanging fruit - they're the least creative unsolved problems in maths (now solved), ones that could be solved with enough time and work. Not a proof of intelligence, just a proof of computational power/duration.
That sort of large "solution space" exploration is stuff mathematicians might not have the time/patience for, but LLMs can do.
Likewise, producing content faster than humans can is another thing LLMs are really good at, with some reports already saying upwards of 50% of new content posted to the Internet is now LLM generated (dead internet theory).
https://www.pewresearch.org/data-labs/2026/08/20/how-much-of-the-internet-is-written-with-ai/
LLMs have also recently taken over game development, and gotten to the point that they're making full 3D scenes, and even videogames.
...and if you haven't heard, a team recently duplicated the Adobe Creative Suite of programs in about a week. Vibe coding in Rust with lots of Claude Opus.
Yep, it looks like "AI" is here to stay.
The biggest concerns are probably: it being able to "flood the zone" of content pushing certain ideas/narratives. Either from tech billionaire fascists, or foreign influnce campaigns.
So determining, monitoring, and countering any biases from that is probably going to be a huge challenge.
For the AI bubble it doesn't really matter if AI is good at a few things as long as they are bleeding money at an unprecedented rate.
Expenditure is still over ten times industry revenue and it doesn't seem to change in the near future. The only one making any money is nvidia with their chips.
As for the supposed things they are good at, that's a whole other story:
Half these mathematical proofs are pretty much stolen from different researchers. Ive seen an article were the ai copied the intro of a draft one for one and now openAI tries to claim ownership. The other half could be utter bullshitt since they aren't verified right now. That whole thing is essentially a publicity stunt without much substance until everything is cleared up.
While AI is much faster at producing content than humans, purely ai generated contend is still shit. It probably is great for radio pop/country music and Hollywood films since they follow a very predictive standard, but everything that isn't hot garbage from the get go needs human input. The main use of the created content right now seems yo be deception and missinfromation, which is great for some people but a really bad thing to base an entire industry on.
As for all the "decompilation" projects going on right now, they essentially copy past the UI and then vibe code the rest. That's neither reverse engeering nor decompiling, that's just a copyright lawsuit waiting to happen. Instead of putting effort into open source projects these projects try to steal everything (as AIs do) and end up with a somewhat functional product that has questionable stability, unknown security holes and a codebase that can never be expanded on cause no one understands it while simultaneously being a legal nightmare to work with since its a copyright infringement and has no applicable license.
I agree that its sadly here to stay, but none of its current capabilities could reasonably support the AI bubble.
Most people can't imagine the technology continuing to progress. They don't want to even consider the possibility that it might not be a bubble at all. They'll continue to move the goal posts and dig their heads further into the sand. "AI can't do math", "AI can't do image recognition", "AI can't create videos that are on par with the real thing", "AI is just a fad", "AI will only take the artist's jobs", "AI is worthless and the bubble is going to pop any second now!".
Counterpoint: All that shit expensive as fuck. Why rush math proofs with AI rather than doing it 100x cheaper by paying a young mathematician over a few years? This isn't paying AI 100 million dollars to cure cancer, that might actually be worth it.
Even if some problems can be solved cost-efficiently, most of the proofs so far is showing off, ignoring costs.
The countries that pay human mathematicians will fall behind because the ones that do not give a fuck will use AI anyway and dominate the future of global economics because they can do it faster and not have human-centric morality like yours in the way.
Ok? How will they dominate it? My point was that the math problems AI has been solving don't really have much of a use that typically gets you money or other resources. I believe I mentioned that medicinal uses, as well as statistical, programming etc. are welcome, but these ain't it.
A better comparison may be that this is rushing all resources to organize a mission to Mars. Very cool, very powerful, might get some tech developed in the process. But if a country the size of a continent enters an economic crisis, why tho?
Here is an academic source showing how economics between USA and Europe are widening due to the slow acceptance or revulsion of AI/LLM tools in Europe.
Here is another talking about how economics between countries that were slow to adapt emerging tech, specifically AI, are falling behind at a logarithmic pace.
This is another source where it measured significant economic improvements where areas in China had marked improvements in quality of life due to rapid adoption of AI tools.
Another academic source covering the improvments of various African countries that accepted rapid adoption of AI tools and how their economies essentially exploded due to increased productivity.
I can provide more, but you sound like you had already made up your mind about AI, so I’m not gonna convince dipshits around the world about the reality and inevitability of this being a ubiquitous tool; there is no fucking bubble to pop, Pandora’s Box is open. You sound like a scared luddite, and I dont care to alleviate your fears.
That, or I have no reading comprehension and misunderstood your point-of-view, which ironically AI would have helped me understand if I used it in such a tedious way.
I apologise for not stating the obvious, but when most people are talking about AI (as was I) they're referring to LLM's and generative content that boomed around 2022-2023.
Your citations 2-4 are focused on AI pre-2023, using data over decades. We've been using machine learning for ages, those were fine, as are any AI models focused on one task. There might even be math oriented models, but as I understand, Anthropic and OpenAI have been trying to force these proofs via LLMs.
Your citation 1 talks about productivity going up, but at a cursory glance, it doesn't seem to comment about OpenAI and others subsidizing a lot of the cost.
The question is, can i defend having billions in data center hardware that i can't turn on and might not be in demand when i can? Will people be running efficient local models instead of paying for my spyware riddled software as a service?