Comment by bandrami
10 hours ago
This is interesting because it's a case of "AI taking jobs" but not in the way people normally mean; these massive layoffs are happening not because AI is doing the work they used to do but because capex is sucking all of the operating money out of everywhere. The companies may be forced to replace some of the laid-off employees with AI (as far as possible) but that's an effect not a cause.
3 and a half ways AI takes jobs:
1. By making workers unnecessary (largely hypothetical right now?)
2. By companies spending big on AI, but it didn't pay off yet so they need to cut back on something else.
3. AI is a good excuse for layoffs they want to do anyway.
Also - the investors would rather hear "AI" than "oops we are in trouble so we need to do layoffs". For example, if you spent a lot of billions on a 2nd life clone with fewer players than developers ...
It's #3 - it's always #3.
All of these tech companies (with perhaps the notable exception of Apple) massively overhired during the pandemic, and that overhiring was on top of a decade+ of the ZIRP era. So there are 2 main drivers of these layoffs:
1. Correcting pandemic overhiring
2. In the ~2010-2022 timeframe, tech companies poured all this money into speculative bets that never went anywhere, at least from a profit perspective (think Amazon's Alexa devices division, Google Stadia, and perhaps most famously the Metaverse itself). All those diversions are now toast, and they employed a ton of people. The only speculative bet that is now "allowed" is AI, which is one reason why I giggle whenever I hear people trying to defend their companies or projects by adding "AI" somewhere in the name.
So perhaps my second point is similar to your #2, but I think the important difference is that the end of the ZIRP era would have caused companies to kill these inherently unprofitable projects even if AI never came on the scene.
> here are 2 main drivers of these layoffs:
> 1. Correcting pandemic overhiring
> 2. In the ~2010-2022 timeframe, tech companies poured all this money into speculative bets
Any data/sources on which this might be based? The pandemic was 6 years ago; do these "Agile" (the tech term) companies really carry many unproductive lines-of-business for so long?
> speculative bets that never went anywhere ... think Amazon's Alexa devices division, Google Stadia, and perhaps most famously the Metaverse itself
Organizations make speculative bets all the time. Is there an accounting of the profitability of Alexa/Nest etc.?
> end of the ZIRP era would have caused companies to kill these inherently unprofitable projects
if you plug in the years 2020-2026 in the Fed Rate - Unemployment chart here at [1], it shows that from 2020 - 2022, rates were near zero while unemployment spiked during Covid and then fell. From 2022 through 2023, rates rose sharply while unemployment stayed relatively low. 2024-2025 the labor market softened. You can add the Federal Funds Effective Rate and the Unemployment Rate easily through the menu.
Unemployment stayed low through the rise in rates for almost two years prior to 2024. Given that companies operate on a quarterly reporting basis and program/project decisions are at least on that cadence, I don't think that the line you're suggesting that Rates-Go-Up -> Projects-Get-Killed -> Layoffs-Increase quite lines up with the economy-wide data in this exceptional case of 2022-2023.
We may have to look elsewhere for the reasons behind the current labor market weakness ... cough..*economy*..*trade walls*..cough...*structural re-alignment* [2]...cough...
[1] https://fred.stlouisfed.org/graph/?g=1duFv
[2] 6% employment decline in 22-25 year old workers https://digitaleconomy.stanford.edu/app/uploads/2025/11/Cana...
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> In the ~2010-2022 timeframe, tech companies poured all this money into speculative bets that never went anywhere
I think it is hard to overstate the effect that Waymo will have.
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Stadia was a minor footnote compared to Android, Pixel, and the other large organizations at Google. But there was plenty of hiring there during the pandemic, so your broader point is not wrong.
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Re: pandemic overhiring - haven't most of the big tech companies already corrected for that? Starting in 2022 we've seen very large rounds of layoffs multiple times a year. That's 3-4 years of layoffs now. Meta alone has laid off over 30k people since 2022, not to mention closing many open roles.
Where did all the extra employees come from? Did this result in shortages in other industries that the employees supposedly transitioned from?
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> notable exception of Apple
I don’t think Apple is an exception. I think they have also over hired but they are also scaling, albeit slower than they used to. The scaling elsewhere is not happening, especially meta where they are trying to extract money from every corner they can find out of desperation, and so the books need to become lighter.
For Apple, hiring more than they need can be soaked into the books because their sales and profits keep increasing, though the rate of growth has slowed. However, if it’s an expense that can be avoided, then it’s an expense that should be avoided.
Meta has no real product moats at this point. Yes, many of us still use instagram and facebook on occassion - but I'm not giving it any data beyond "what short form slop content will I accept".
The days of meta having network effects to defend its position are long gone, and I suspect we'll see the products die when an AI-first UX comes to mobile.
1 is certainly happening in agency delivery work.
Most language translations and asset creations for CMSs are now AI driven.
In big corps delivery teams were already being reduced by relying in LEGO building with SaaS, iPaaS and serverless/microservices (aka MACH architecture), now with agents, the integrations teams get further reduced into writing the tools/skills modules instead.
Meta basically "pivoted."
The core business is still meta ads, but Zuck had decided they needed big investment into a new business for future-proofing, growth or whatnot.
That business was initially the meta stuff. Now it is Ai. That's a pivot.
Meta is fundamentally a media company and they're using AI towards that end. They don't seem to be productizing their tech beyond that in the medium term.
Why is #1 hypothetical?
If 1 employee can do the work of 3 now but Meta's TAM can't grow 300%, then they can cut some employees.
In other words, worker productivity might be higher than what the ad business can grow into, so Meta can safely cut cost and still hit their growth targets.
Edit: I should be clear that I think #1 has been achieved for software development.
Because I think "1 employee can do the work of 3 now" still hasn't actually been demonstrated
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> f 1 employee can do the work of 3 now but Meta's TAM can't grow 300%
If you go by the measure of LoC per employee, then your number is probably even higher, somewhere between 10-20x per employee. The problem being, producing 10.000 lines of AI-slop per day is not a good productivity measure - all it does is create more technical debt and issues that now nobody is reviewing because a) people get fatigued and at some point just wave the AI-slop through b) there is not enough manpower because people got laid off because of "AI" c) People are generally feeling irritated by being asked to review and correct AI slop. There is a societal pushback brewing and it won't be nice for the so-called AI in the end. Think about the fact that most people who are exhilirated by the "AI" are either incompetent or incompetent and old. Most of the young folks, even those not in the technical domains, firmly reject AI. When did you ever hear of a revolutionary new tech that was actively hated on by the young people?
> Edit: I should be clear that I think #1 has been achieved for software development.
Maybe in the world of WP-plugins/typo3 and other simple work, though even those are fairly complex in their own ways which the retard-LLMs will trip on fair amount of times. Not if you are doing anything remotely complex. The retard-LLMs will still either put your secrets in plain text, suggest the laziest f*ing implementation of a problem etc. It's just a shitshow nowadays, compounded by the LLM companies trying to keep the costs low (and therefore keep the "users" hooked), which they currently accomplish by shortchanging you and dumbing the LLMs down - because otherwise they'd have to charge for true cost - upwards of tens of thousands of dollars per seat - which would render their initial value proposition completely useless. Something has to give.
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> 1. By making workers unnecessary (largely hypothetical right now?)
At least in the software development front, i really cannot see that happening.. until now we were all understaffed. Now it is the first time that actually with our team we can handle the workload properly.
4. When the whole thing implodes, because at that point you need to keep the balance sheet as green as possible.
They're not really in trouble, they're still printing money. And I didn't know why they would need an excuse besides "this will help us print slightly more money" which everybody already knows.
Yeah, this is a justification, but still -- they save single digit billions doing this, while AI capex is $150B (same timeframe) and RL spend is $16B. Feels like you could make the same cut from AI capex and barely notice a difference.
My gut feel was that you can't be right, but it looks like you are: cutting 8000 employees * $500k/year total cost to company (rough but useful ballpark figure) is "only" $4B.
Cross-checking against actual expenditure, Meta spent $118B total last year, with the second largest component of total spending being stock comp at $42B, of which vast slabs went to the top leadership that's presumably also not getting fired.
Though not all of that capex is cash; there's a whole phantom wampum AI economy where the big players are trading promissory notes for compute that doesn't exist yet (and may never exist) some time in the future and booking it as revenue.
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The figure I've seen floated is $6B, but yeah, same idea.
It’s slightly more nuanced than layoffs = capex. You’re right, they don’t. That said, they do create free cash flow, which the market uses as one important input into the value of a given stock. Moving FCF positively when capex spending is moving it the other way is the real financial accounting move that is happening here.
salaries are opex, data centers are capex, you can't compare them in the same timeframe.
4B over 5 years is 20B, which is significant.
4B over 5 years is still 4B. It's 0.8B/yr
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I think any company that is seen to reduce capex right now is going to be the Bear Sterns of this cycle
Is this because you think the market will short sell them, or because capex is so worthwhile right now that a company which doesn't invest will fall fatally behind?
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Doing slightly less than 150b looks bad to investors. Or at least it looks small.
Imagine the productivity gains if they just spent $150B on booze and cake for employees!
That is one of my huge complaints about the current levels of AI investments. You can do pretty much anything you want if you got $150B to spend, and then you go burn it on being uncompetitive in the AI space. Then you have the $80B Metas Reality Labs spend on a failed virtual reality and a pair of Ray-Bans.
It's not like Meta has nothing to show for the money it spend, but it seems like they could have spend that money on improving Facebook or Instagram, not that I think Zuckerberg really cares about those product anymore.
And coke. Not the cold drink.
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In other words: Nothing has changed.
Finance is destroying the real economy in search for "optimization" because business value doesn't neatly fit into an excel sheet cell. All these layoffs have been done because of AI washing right from the start.
I think in several ways the promises of AI to leadership is taking jobs not what AI is actually doing.
Absolutely.
Promises/hopes of what AI can do, and also execs being misinformed about what their own companies are doing/achieving with AI. I know of one very well known large company where the CEO is in the press preaching about the need to restructure/layoff because of AI, yet in the trenches there is close to zero AI adoption - only contractors claiming on their JIRA close-outs to be using GIT copilot because they have been told to say so.
I mean AI was auto-warning me for a Facebook comment I made, which was a somewhat widely known internet meme. Long story short, video of a young girl (maybe 8 or 9 idr) with a GIANT spider on her hand. I wrote the words "Put that spider down, we have to burn down the house" and Facebook's AI flagged it, I tried to appeal, a human allegedly reviewed it and denied it, because they didn't understand a subtle meme. That's when I knew, I had to stop logging on to Facebook altogether.
This was in 2022... So I cannot imagine how much worse the "automoderation" will probably become.
The WWeWork model of being in real estate and not tech, I guess.
Given the unironic use of 'woke mind virus' by certain billionaires, there's something to be said about the sudden obsession of building data centres, no expense spared.
Funny how AI took all the jobs, but not from automation
Yup feels like it.