that came after Uber told employees to use AI as much as possible and Uber’s CTO said the company had blown its entire AI budget in four months
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Further evidence that most CEO's and SLT's are just confident, lucky, and born wealthy; not competent, smarter, or much better than average.
Also they are addicted to sycophancy. Now that they have a convincing yes man in their pockets they are uniquely vulnerable to AI psychosis.
AI is about to join the list of "stupid technologies that people should really wait and see before investing on", which includes
- 3D TVs - complete dud
- Blockchain - useless for real world problems already solved by typical computing
- Metaverse - still one of the best jokes around
- Folding screen phones - overpriced junk
- Fully autonomous self driving cars - "Just around the corner" for the past 10 years
Don't forget NFTs... though I guess that can fall under blockchain.
yeah but NFTs were so stupid that they deserve their own dishonorable mention here.
NFTs are so fucking stupid the satirical yearly award for this shit should probably be the NonFungible Trophy cus it's a literal fucking physical trophy.
Folding Phones Sales Continue To Increase since 2019, showing people seem to like them

Two time buyer, can confirm. They're legitimately useful and durable enough for me.
I don't think they are for me but I honestly would not include them in that list above. First of all, there is no investment bubble around them and secondly some people seem to like them and are ready to pay for them. They also do have legitimate benefits (but also downsides)
Cold fusion. Green hydrogen. Hyper loop. Just off the top of my head.
Hyper Loop was an insane idea (in a bad way).
Motherfucker wanted to invent subway, but for cars, making cities even more dependent of cars.
hyperloop was very low air pressure subway tubes for high speed trains. Works for research tesring tracks impractical to infeasible for real world applications. But it apparently what killed high speed rail in california (because wait this will be better)
The cars in tubes thing was a seperate stupid idea.
This is 100% the thesis I've been shopping personally... Many Boomers and Xers in executive positions had a "magical millennial" that they quietly kept as a secret "AI" to split/edit PDFs, set up an Airtable base, add columns to a google doc, etc. There was a tacit, silent agreement in this symbiotic relationship for the bulk of the last 20 years - you'll make sure I don't look completely incompetent in tech matters and I'll backchannel on your behalf to senior leaders and people who "matter" to help you advance.
Gen AI essentially allows the laziest input, gives a half competent output that "feels" fine and has the bonus of telling the boomer/Xer that they are actually amazingly capable, and could have done this themselves all along even, but they rightly delegated the task to their magical millennial, and now to the AI of choice.
So they fired all the magical millennials, because they knew too much about the before times. Now that they are fucked without a life raft, costs soar and they will cling for dear life because they will be exposed otherwise.
Edit: through a twist of fate, the iPad kids grew up technically incapable and relied on the magical millenials as well. They could only offer praise and loyalty really, or a boomer, Xer recruited them in and talked the MM up as a "wiz" to seek out. Anyway, now that the MM are gone, the Zoomers and gen Alpha kids only have one strength remaining, the old people have no idea what they are doing or how to quantify their success, outside of "use more AI". So the fragile balance remains for now, with a vulnerable, hollow center where the magical millennials used to live.
This post was a fuckin rollercoaster, well said
- Replace workforce with AI because it's easy to be lazy with AI.
- Remaining workforce uses AI to be lazy.
- SurprisedPikachu.webp
Ew, webp. Chatgpt, convert that shit for me
Hey, webp is awesome! Both lossless and lossy compression work great with it. Only thing lacking is software support
The funny thing is that even with this massive overspending, AI companies aren't profitable. They need these companies to spend 10x the amount per token, and 10x the number of tokens. Probably 10x the number of customers too.
Burning energy, draining water, spending massive cash so they can lose money on a product that doesn't even do its job. How the hell has the bubble not popped yet...
The Stock market is literally just vibes. As long as everyone believes, it will somehow be profitable in the future, the line will keep ging up
The problem seems to be that it takes competent employees to get anything useful out of an LLM in the first place. However, it is these very employees whom the greedy CEOs want to replace. So the result is that an incredible amount of money is being spent on absolutely nothing.
The logical conclusion, then, should be that it would make more sense to replace these useless CEOs with AI. Since they’re just making idiotic decisions for a lot of money anyway, there could be lots of savings.
Unfortunately, however, that will never happen, because contrary to all that talk of KPIs and such, what really matters in the upper echelons of management is never efficiency, but rather ruthlessness and brown-nosing.
I recently learned of a term "reverse centaur" and found the ideas in that article were very entertaining as a way to explain why CEOs are obsessed with LLMs. The author of the book being interviewed has a few hot takes that I think are pretty relevant here too. https://arstechnica.com/gadgets/2026/06/how-to-burst-the-ai-bubble-strike-at-its-roots/
Indeed!
“The bubble doesn’t want cheap useful things,” Doctorow said. “It wants expensive ‘disruptive’ things: big foundational models that lose billions of dollars every year. When the AI investment mania halts, most of the models are going to disappear, because it just won’t be economical to keep the data centers running. The collapse of the AI bubble is going to be ugly. Seven AI companies currently account for more than a third of the stock market, and they endlessly pass around the same $100 billion IOU. AI is the asbestos in the walls of our technological society, stuffed with wild abandon by a finance sector and tech monopolists run amok. We will be excavating it for a generation or more.”
I think that pretty much sums it up.
a big source of AI token ‘chewing’ is people just converting PDFs to presentations
I haven't been this happy in over a year.

Reminds me of companies getting their cloud computing bills.
Yup. I've had the same thoughts. There are many who still think its insane to have your own equipment. Now there will be those who think its insane to do your own thinking.
Did they think everyone was gonna be creating return value based products for the company to make a fortune on?
Instead they making posters and having crazy convos.
It’s like someone has just discovered salt and every restaurant has it. Each thinks they are unique and gonna be the GOAT.
If my boss would mandate the use of LLMs I would definitely abuse it to rack up the bill.
Leadership are mostly idiots. They don't know how work gets done. They think like "wow it produced so many lines of code!" and don't know that's not a useful metric.
My job had Microsoft do a four hour copilot demo for the entire team last week. (Surely an immense expense. They won't pay for most people to be full time with benefits). The guy used copilot to make a regex to parse html. A little surprised zalgo didn't show up.
I'll one up you.
Google's "principal evangelist" for Gemini did a 2hr presentation for almost 1,000 people at my company on Google Meet a few weeks ago.
40 mins late due to nobody knowing how to get more than 500 people in a meet.
He then spent 90 minutes showing everyone how to do shit that literally everyone knows how to do with AI nowadays; touch up old photos of your grandparents, make shitty marketing mascots and logos, etc...
Here's an image I took during the presentation. For a laugh, look at the background text:
A C-Suite exec got impatient and asked when we were going to cover how to use agentic tools and he said "oh I've got a little section at the end for that." Ffs
Literally nothing useful happened during this meeting and nearly 1,000 employees were idle for no reason. A complete and utter waste of fucking time. Gemini dude didn't even bother to consider what use cases we might be looking into, he just did a boilerplate ELI5 of AI that would have been outdated in like 2022.
Absolutely insane.
CEOs them to make power points using the already pre built company presentation template then talk about how they couldn't have made it without AI like that's supposed to show how useful AI is and not how incompetent they are
Eat shit you greedy corporate assholes, i hope all of your companies are damaged beyond recovery, you useless fucking tools.
Using an LLM to parse stuff is like using a rocket launcher to kill an ant.
You can accomplish the same thing using a million times fewer resources with a purpose-built program.
"ChatGPT, what time is it?"
Well, if your KPI is how much you use an LLM like in some reports - this is an easy way to get those good indicators. Also, LLMs are super easy to use to parse things, whereas many special programs like IDK grep isn't exactly user friendly. Not to mention not finding patterns really. Though here I'm thinking things like looking at various logs on computers.
These stupid companies are getting everything they deserve and I'm loving it.
And Accenture itself reportedly started requiring senior staff to start using AI or risk losing out on promotions.
Every time companies urge employees to use AI and then regret the cost. The fuck is wrong with people? Why are they pushing it so hard? Does Sam give them hand jobs if they use the most?
I don't understand this need to pressure staff into using something and threatening punishment if not. Are they worried that their employees are not efficient enough? Pay them the token prices on top of their salary and see how stuff changes.
This is actually very common across businesses. My company actually has our bonuses tied to AI adoption, so we have dashboards showing people's AI usage. Other major companies have done the same, which lead to the practice of "token maxxing" where people were using AI to make more AI calls to boost their numbers up.
When you tell the people to mash the easy button and then they do exactly what you wanted. They created the monster.
If you just throw every task at it, I can completely imagine that it'll cost you more than any gain in efficiency. To some degree I think this is true of some coding tasks (not all, most are pretty efficient pattern matches, and that's what it does well).
But using LLMs to build tools and pipelines that stand alone (no AU built into it) and enable human productivity seems like a far higher leverage use.
The programming version is building the libraries and abstractions that are robust and well tested, so that regular developers can quickly build and refine the features.
Or building the reporting dashboard. Or whatever.
The cost is only going to go up, and the companies that lock in some non-AI process improvements before the hike will likely be smiling
This is the most profitable consultant in the world, can't they just afford to run a local llm?
I heard about a company that was looking at purchasing machines to run local llms for their developers to use.
If more companies do this, rather than using the massive ai data centers being built…. the RAMpocolypse will get way worse.
Waiting for hackers to break into companies and not do a ransomware attack. Just run some scripts which innocently do shit like turn PDFs into PowerPoints and chew through those tokens.
This dumb bubble can't pop soon enough and wipe away most of the US economy while doing so.
LLMs as a technology are incredibly powerful tools that have so many useful applications. The issue is trying to turn them into this all powerful omnitool that could do everything, and then shoving that product up everyone's ass at every turn.
There was always bound to be a correction to this bubble, because the current model is unsustainable. You can only keep making unreasonable moves for so long before everything starts to crumble and you're forced to scale back.
Consulting giant Accenture is trying to figure out how to stop non-technical workers from blowing through companies’ AI token budget on trivial tasks like converting PDFs to presentation slides
Sounds the people they hired to do the shit work don't actually want to do that type of work. I, for one, am shocked. Shocked I tell you!