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Newsletter: This is the Hater's Guide To The AI Bubble: genAI is nothing like Uber or Amazon Web Services, there are no profitable genAI companies, agents do not and cannot exist, there is no AI SaaS story, and everything rides - and dies - on selling GPUs. www.wheresyoured.at/the-haters-g...

wheresyoured.atThe Hater's Guide To The AI BubbleHey! Before we go any further — if you want to support my work, please sign up for the premium version of Where’s Your Ed At, it’s a $7-a-month (or $70-a-year) paid product where every week you get a ...

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Anecdotal but our CoPilot Enterprise license was also officially throttled down to "please use it on down times otherwise it might not be available" which ofcourse makes it largely useless. Which would be bad if we actually saw much usage, which we don't.

AI is great for helping the dumbest people in the office feel smart. Many employee who were once unable to contribute are now “contributing” heavily LLM-based work in the way that my 3 year old nephew “contributes” by pushing his Fischer-Price vacuum around the living room

This is good writing, but your section on AI agents is actually kinder than the reality: AI agents *can't* work with the kind of deep integration that companies are promising, and no reporters are talking about it, even though the limitations have been known for years - there's a huge security risk.

And another: www.theverge.com/news/709025/... Like, I know I'm often posting anti-AI stuff, so I want to be careful not to be extremist when I say this, but an article this long *never* mentioning security is a journalistic failure, and @theverge.com should be ashamed of publishing it. #AIBullshit

Why horrified? I'm not arguing, just asking. I'm going to feel some pity towards those who heavily rely on it. Returning to full-time work is going to be jarring.

there has never been a point in my adult life when the phrase 'get while the gettin's good' hasn't been a guiding truism and nothing in my childhood prepared me to be that ruthless.

Started with crypto - use GPUs to make fake money for Ponzi schemes Now it's use GPUs to make a failing company. I can only assume there's a lot of embezzlement going on, because the alternative is too stupid

In the data centre industry and can’t fathom how they are monetising AI the set up and ongoing operational costs are enormous. It has a price point above which most users won’t go. Not sustainable and the product…..not convinced, I mean are you really using it every day.

„There is an overwhelming condescension that comes from fans of generative AI — the sense that they know something you don't, something they double down on. We are being forced to use it by bosses…“

ask any AI company salesperson about their competitors' products and they'll tell you a list of shit that's wrong with LLMs in general, including theirs. "It is difficult to get a man to understand something, when his salary depends on his not understanding it."

A heck of a good read! I'm surprised not to see more about the "OpenAI diaspora" with Amodei->Anthropic, Sutskever->Superintelligence, Murati->Thinking Machines Lab, etc. Plus, VC and YC. It might be uncharitable to call it in-breeding, but it goes to your points of no moat and too much similarity.

But, Murati's Thinking Machines Lab is a company with no product on the horizon *at all* raising $2B with a $10B valuation. Of course, Nvidia was part of that funding round, so more in-breeding. Without IP infringement, it's tough to imagine any quick time-to-revenue/value. Mass insanity!

Excellent piece. Having watched Google's I/O this year & far too much Sam Altman, it's clear the industry is heavily pushing the idea of "AI agents", as you say. Isn't it funny, given this AI bubble, that one of the trumpeted virtues of a free market is the efficient allocation of capital ?

Still reading so not sure if you account for this, but all of these services require a lot of physical infrastructure. And big cloud computing providers are running out of "real estate" as we speak. They are actively turning down money from potential clients since they can't acquire enough

I’m already a subscriber, so I’m seeing incremental benefit and using copilot daily. Also, on the commercial side: Analysts estimate that Microsoft 365 Copilot could generate **over $10 billion in annualized revenue by 2026**, based on its $30-per-user monthly pricing and projected adoption rates.

At least tech wizz kid Peter Kyle MP (sadly my MP) signed a memorandum of understanding with OpenAI to increase the efficiency (take all the data) from the UK government yesterday 🥴

Thank you for writing this. I haven’t finished it, but has been great so far. I am in tech and have felt much more skeptical about sustainability compared to others in my network.

*sigh* boring. Serving perfect read to anthropocentric minds around. Well, that's the task of the Guide, actually. Humancentric populism. People will love it. Besides, "AI is big tech money making and people stupidifying machine" is outdated and one-sided. Disclaimer: following GenAI since 2016.

GenAI is not made for money. It were brilliant experiments by one-person devs, like Deep Dream, GAN, First Order Motion, 3D Ken Burns etc. Sure, big tech comes like flies feeling money flows. But to see _just this_ is hypocrisy. Throw away your iPhone then, this sleak capitalism tool and icon.

I wish to high heaven I could make my 77-year-old father understand this. He is obsessed with gAI. He's pouring retirement funds into it. I get that he has FOMO from Apple or Microsoft but this is just a technology grift. It's driven by theft and eats itself. There is no safe harbor from its crash.

New update! In a call last night, "I am leaving you a legacy!" Oh my God how do I really tell him this is a fech bro ponzi scheme. He bought a GPU provider and earned 35%. What did the company that hardware went into earn? Oh it has been -17 for three years. This pyramid scheme won't last.

There is no ethical use of generative ai. The end. Don't even need to read the article but I probably will later anyway.

It took several years (decades?) for the computer industry to become profitable without relying on government contracts. Artificial Intelligence has already demonstrated its usefulness in certain contexts and costs will decrease over time. There may be a bubble, but generative AI is here to stay.

Long time reader first time caller, I had a question that’s come up before in reading your work but which I’ve never to figured out on my own: when you compare AI revenue (known source) to capex, how do you know that the capex is going towards AI? Or at least enough of it to be a bad deal?