upvote
This genuinely wouldn't surprise me, and I need to go back to looking at balance sheets to see if I can sus out the validity of that narrative. As AI subsidization ends prematurely and costs skyrocket, we should expect to see those costs reflected in the operation statements of major customers.

Since I had Coinbase up for review already, I decided to peek there first for any sort of correlation. In 2023, their "Technology and Development" line item shows $1.32bn going out, and by 2025 it'd ballooned to $1.67bn. This is despite headcount actually contracting by almost a thousand people between those two statements, which would normally mean a smaller technology spend since a lot of corporate software is seat-based nowadays. This suggests that yeah, actually AI spend is creating a heavier drag on the balance sheets and it's being offset with layoffs since the "job replacement" narrative is strong. That said, I'd need to check dozens' more balance sheets to draw any sort of industry-wide conclusion.

reply
And to factor in other infrastructure costs that's become more expensive too, such as hosting or hardware. So unless you can isolate AI spending from others that's not going to be convincing.
reply
Ironically an analysis that Codex or Claude Code might be able to perform
reply
They are laying people off because the cost of financing have gone up. The risk free rate is now almost 5%. For equity financing you'd need to show revenue growth models that allows repayment at that rate plus equity risk premium (which is quite large for new growth companies).

So the CFO makes a model that allows for this and for sufficient ROI they need less people to be more productive. This mechanically forces them to lay people off.

Of course laying people off might actually not improve productivity, but they need this to have chance.

reply
Rings true because now teams end up building a lot of things that may or may not have alignment to customer/business needs.

The slow part has always been figuring out exactly what the customer/business actually needs, not the coding. Now teams are throwing money at tokens without solving the "who's buying this?" part appropriately and end up just building excess.

All judgement seems to have gone out the window.

reply
At my last job, within our org, the director had 3 staff engineers building the same, but competing AI tool.

At the last all hands other teams announced their own similar AI engineer productivity tools.

I low-key regret now sticking around long enough to get a layoff package.

reply
I suppose you meant 'not' not 'now' yeah?
reply
yeah, my bad. I typo'd on purpose to prove I'm not AI :P :'(
reply
They're laying off the people who can't produce a minimum of 2x with AI, and keeping the maximalists with no life outside of work barely keeping up with the 100k LOC a week they're shipping to prod.

Suits have an idea of what the New Model Coder should be, and it's not people who don't burn through 100,000,000 tokens a week.

reply
That makes no sense. If that were really true then they could’ve saved a bundle and did that same thing years ago before AI.
reply
The promise of AI gains with fewer people is what's triggering this - before, you needed ~1 coder to do ~1 unit of work. Suits now think you only need 1 coder to do X units of work because LLMs.

So no, they couldn't do the same thing years ago.

reply
I mean, they do (and did). If you aren't shipping, you'll be out eventually.
reply
This is no that far fetched... I don't think it's that common that a customer sits on the fence and says "If only company X had Y on their feature list I'll be a paying customer". So the speed at which the company now runs through its roadmap does not equate to new customers joining.
reply
This links closely with this article i came across: https://readuncut.com/the-social-contract-is-broken/ how basically corporations are pursuing greed at such high levels.
reply
Personally, I think AI is just a convenient scapegoat for these mass layoffs. Also, these kinds of announcements contribute to sustaining the AI hype which all tech investors benefit from. And investors looove hearing about mass layoffs, stock goes up every time without fail.
reply
cloudflare stock went down, genius

investors are not some nefarious monolith cheering for companies to make decisions based on how it benefits The Vibes. they're analysts assessing business decisions.

reply
It went down on poor earnings call. Layoffs were probably an attempt to soften the blow. Hard to tell what was the effect, because the two happened simultaneously
reply
What was bad about the earnings? Every metric I am seeing is beating expectations. Genuinely curious
reply
Most likely poor forward guidance.
reply
This is the simplest and almost certainly correct answer.

I’ve seen this at a number of public companies, and is a reason I hate working for them. These decisions are always unbelievably short sighted and ruin companies in the long term.

reply
Wtf are you talking about? Investors are just gamblers with a fancier title.

They absolutely invest based on vibes.

reply
then why did the riveting stock analysis above mis-predict the market?
reply
Because the market makes no sense. It's just vibes. Trying to make sense of it is a fool's errand.
reply
This is a great article, actually. It does gather many of the empirical data I have seen and felt but were unable to put into word.
reply
I wouldn't argue that it doesn't give any benefits. However, it's not worth the current cost unless you already own RTX PRO 6000 to run any reasonable LLM. I'm using Claude Free and I'm happy with what I get, especially for the cost of $0.

I'm eagerly waiting for the prices to come down so I can upgrade my PC to AM5 and run Gemma 4.

reply
Its quite possible that LLMs become housed units like the next PC. Initially it starts off as being a large thing in data centers (like computers did) until they got smaller and smaller. Except I expect the time it takes to get smaller and smaller to compress much more - given that we live in a world with far more resources and risk-taking.
reply
I mean even this blog from Cloudflare reads a little like that.
reply
deleted
reply
[dead]
reply
this is such a cope take i don't even know what to say. how can people believe in obviously false things like this? like what's the mental model here?
reply