What are the odds this is actually due to overhiring during the pandemic? From what I know, that was the principle reason for the Amazon layoffs. Would love to be corrected if I'm misremembering.
>we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
This is one way of making an all-in bet on AI.
>we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold.
Well that's interesting, wonder if we'll actually get a proper accounting of which departments take which cuts.
Why make others misfortune a platform for ego expression? Why not doing things elegant, quiet, keep it in-house? Because misery of others drives stock prices up! It's a sacrifice he's willing to make.
> we're not making this decision because we're in trouble. our business is strong. gross profit continues to grow, we continue to serve more and more customers, and profitability is improving. but something has changed. we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
Once again, this is "AGI" in it's most direct and absolute version with zero fluff.
I unfortunately predicted more layoffs will occur back in 2025 [0] and I see only but acceleration on this.
i'm gonna write this terrible news in all lowercase cause it's super aesthetic. maintain a bit of professionalism for the 4,000 people whose lives i'm throwing into turmoil? i don't think so, i have my shift key taped over so i don't accidentally show respect to anybody
Not saying this is the case here by any means, but I've disabled all the assistive/autocorrecting technology on my phone's keyboard because ironically it make it more usable. So now I don't even get automatic capitalization.
They're cutting 40% (edit: the post actually says "nearly half") of the workforce (4k out of 10k). That's huge.
The severance is 20 weeks of pay + 1 week per year of tenure, stock vesting through May, 6 months of healthcare, their corporate devices, and $5k cash.
Nice severance; but in this job market, holy shit.
Yeah, you get 5 months of severance and a bunch of devices and such; but, does this CEO really think these employees will find new work in that time? In this job market?
If the profits are still up and growing, why on earth would you evict 40% of the company, to send them into this job market? Why not … try new industries, play around, try to become the next Mitsubishi or Samsung or General Electric. If you’ve got the manpower and talent, why not play with it and see if anything makes money. In-house startups with stable capital, all that.
> does this CEO really think these employees will find new work in that time? In this job market?
Yes, because there's always work somewhere. People that can't find jobs are often just unwilling to move to where the jobs are, or unwilling to take jobs that they think are beneath them.
Right now is exactly the time when we need to pause issuing new or transferring existing H1B/L1/other work visas for least a year until we know full impact of AI on economy and employment.
i had two options: cut gradually over months or years as this shift plays out, or be honest about where we are and act on it now. i chose the latter. repeated rounds of cuts are destructive to morale, to focus, and to the trust that customers and shareholders place in our ability to lead.
It is hard to tell what this company does, but it seems to be involved in bitcoin. Coincidentally we have had a huge drop in bitcoin in the last months.
We'll see how much the AI aspect is true by whether they're thinning out teams equally, or just axing whole initiatives. My impression of Block was that it was mostly a one-trick pony (okay, two if you include CashApp) with a bunch of side initiatives that never seemed to pan out, so I'm expecting it to be more of the latter, with this being more of an admission that they're now in "maintenance mode".
Either way, I think this is how it's gonna be. Regardless of whether AI significantly increases productivity (40%? come on), layoffs will be preemptory. Executives will see the lack of productivity boost as being due to lack of pressure, and imagine engineers are just using the AI to make their own lives easier rather than to work more efficiently. You can't really double output velocity because your users will see it as too much churn, so the only choice is to lay off half the workforce and double the workload for those who stay. "Necessity is the mother of invention." They'll overlook the fact that the work AI tools provide only encompasses 10% of your job even if they're 100% efficient.
Yeah. We are coping. Just today, I had a simple bug where the data received was throwing undefined because it was in 2 alternate formats.
I showed ChatGPT(free-tier) the API response and the part of the code reading it, and it fixed it in 5 seconds. Would've been pretty short either way less than 30-40 mins but it's very good for simple tasks like these. The solution is just correct.
I'm still not sure I quite agree with this AI replacement premise.
Assuming the premise of profitability and a sound business
then this sounds like a failure of product if anything. It just doesn't follow for me that when you see more productive teams the immediate answer is that you need less people. Especially for silicon valley types this seems antithetical to scaling.
Thinking of it in two ways
- Yes you could (in theory but I still argue not 100%) cut workforce and have a smaller # of people do the work that everyone else was doing
Or
- You could keep your people, who are ostensibly more productive with AI, and get even more work done
168 comments
[ 6.6 ms ] story [ 122 ms ] threadI wonder if this is the beginning of a new wave of layoffs across the industry like we had in 2022.
This is one way of making an all-in bet on AI.
>we're not going to just disappear people from slack and email and pretend they were never here. communication channels will stay open through thursday evening (pacific) so everyone can say goodbye properly, and share whatever you wish. i'll also be hosting a live video session to thank everyone at 3:35pm pacific. i know doing it this way might feel awkward. i'd rather it feel awkward and human than efficient and cold.
Well that's interesting, wonder if we'll actually get a proper accounting of which departments take which cuts.
Once again, this is "AGI" in it's most direct and absolute version with zero fluff.
I unfortunately predicted more layoffs will occur back in 2025 [0] and I see only but acceleration on this.
[0] https://news.ycombinator.com/item?id=46307549
EDIT: I guess if it comes with 300% raise I'd pause for a bit to think about it, but otherwise absolutely not.
They're cutting 40% (edit: the post actually says "nearly half") of the workforce (4k out of 10k). That's huge.
The severance is 20 weeks of pay + 1 week per year of tenure, stock vesting through May, 6 months of healthcare, their corporate devices, and $5k cash.
Yeah, you get 5 months of severance and a bunch of devices and such; but, does this CEO really think these employees will find new work in that time? In this job market?
If the profits are still up and growing, why on earth would you evict 40% of the company, to send them into this job market? Why not … try new industries, play around, try to become the next Mitsubishi or Samsung or General Electric. If you’ve got the manpower and talent, why not play with it and see if anything makes money. In-house startups with stable capital, all that.
This seems … wrong.
Yes, because there's always work somewhere. People that can't find jobs are often just unwilling to move to where the jobs are, or unwilling to take jobs that they think are beneath them.
For some reason he deliberately avoids using the word 'artificial' here.
Come on now, it's not going to be the only round.
I don't buy anything this weirdo says.
Either way, I think this is how it's gonna be. Regardless of whether AI significantly increases productivity (40%? come on), layoffs will be preemptory. Executives will see the lack of productivity boost as being due to lack of pressure, and imagine engineers are just using the AI to make their own lives easier rather than to work more efficiently. You can't really double output velocity because your users will see it as too much churn, so the only choice is to lay off half the workforce and double the workload for those who stay. "Necessity is the mother of invention." They'll overlook the fact that the work AI tools provide only encompasses 10% of your job even if they're 100% efficient.
They grew to 11000
Now they’re going to shrink to 6000
The whiplash from ZIRP days to whatever AI cost restructuring happening today is massive
I showed ChatGPT(free-tier) the API response and the part of the code reading it, and it fixed it in 5 seconds. Would've been pretty short either way less than 30-40 mins but it's very good for simple tasks like these. The solution is just correct.
Assuming the premise of profitability and a sound business then this sounds like a failure of product if anything. It just doesn't follow for me that when you see more productive teams the immediate answer is that you need less people. Especially for silicon valley types this seems antithetical to scaling.
Thinking of it in two ways
- Yes you could (in theory but I still argue not 100%) cut workforce and have a smaller # of people do the work that everyone else was doing
Or
- You could keep your people, who are ostensibly more productive with AI, and get even more work done
Why would you ever choose the first?
2. Will other tech firms consider such large layoffs in the near future?