(no title)
hansonkd | 21 days ago
It just takes thinking about it for 5 seconds to see the contradiction. If AI was so good at reducing work, why is it every company engaging with AI has their workload increase.
20 years ago SV was stereotyped for "lazy" or fun loving engineers who barely worked but cashed huge pay checks. Now I would say the stereotype is overworked engineers who on the midlevel are making less than 20 back.
I see it across other disciplines too. Everyone I know from sales, to lawyers, etc if they engage with AI its like they get stuck in a loop where the original task is easier but now it revealed 10 more smaller tasks that fill up their time even more so than before AI.
Thats not to say productivity gains with AI aren't found. It just seems like the gains get people into a flywheel of increasing work.
kibwen|21 days ago
Are the people leveraging LLMs making more money while working the same number of hours?
Are the people leveraging LLMs working fewer hours while making the same amount of money?
If neither of these are true, then LLMs have not made your life better as a working programmer.
pixl97|21 days ago
That is, if anyone uses it your life will be worse, but if you don't use it then your life will be even worse than those using it.
Too bad you programmers didn't unionize when you had the chance so you could fight this. Guess you'll have to pull yourself up by your bootstraps.
coldtea|21 days ago
Nobody is getting a raise for using AI. So no.
>Are the people leveraging LLMs working fewer hours while making the same amount of money?
Early adopters maybe, as they offload some work to agents. As AI commodifies and is the baseline, that will invert, especially as companies shed people to have the remaining "multiply" their output with AI.
So the answer will be no and no.
nradov|21 days ago
elevatortrim|21 days ago
athrowaway3z|21 days ago
Neither are the hours worked.
Nor is the money.
Just think of the security guard on site walking around, or someone who has a dozen monitors.
zozbot234|21 days ago
> Are the people leveraging LLMs working fewer hours while making the same amount of money?
Yes, absolutely. Mostly because being able to leverage LLMs effectively (which is not "vibe coding" and requires both knowing what you're doing and having at least some hunch of how the LLM is going to model your problem, whether it's been given the right data, directed properly, etc.) is a rare skill.
asielen|21 days ago
It feels like leadership is putting immense pressure on everyone to prove their investment in AI is worth it and we all feel the pressure to try to show them it is while actually having to work longer hours to do so.
Maximus9000|20 days ago
https://techcrunch.com/2026/02/09/the-first-signs-of-burnout...
pimlottc|21 days ago
SkyPuncher|21 days ago
Obviously, "take a day off" is not the value prop their selling to buyers (company leadership), but they can't be so on the nose in a public commercial that they scare individual contributors.
CuriouslyC|21 days ago
sevensor|21 days ago
thinkharderdev|21 days ago
joenot443|21 days ago
I can pretty easily do a 12h day of prompting but I haven't been able to code for 12h straight since I was in college.
zeroonetwothree|21 days ago
Prompting has so many distractions and context switches I get sick of it after an hour.
treetalker|21 days ago
The older I get, the more I see the wisdom in the ancient ideas of reducing desires and being content with what one has.
---
Later Addition:
The article's essential answer is that workers voluntarily embraced (and therefore tolerated) the longer hours because of the novelty of it all. Reading between the lines, this is likely to cause shifts in expectation (and ultimately culture) — just when the novelty wears off and workers realize they have been duped into increasing their work hours and intensity (which will put an end to the voluntary embracing of those longer hours and intensity). And the dreaded result (for the poor company, won't anyone care about it?!) is cognitive overload, hence worker burnout and turnover, and ultimately reduced work quality and higher HR transaction costs. Therefore, TFA counsels, companies should set norms regarding limited use of generative language models (GLMs, so-called "AI").
I find it unlikely that companies will limit GLM use or set reasonable norms: instead they'll crack the whip!
---
Even Later Addition:
As an outsider, I find it at once amusing and dystopian to consider the suggestions offered at the end of the piece: in the brutalist, reverse-centaur style, workers are now to be programmed with modifications to their "alignment … reconsider[ation of] assumptions … absor[ption of] information … sequencing … [and] grounding"!
The worker is now thought of in terms of the tool, not vice versa.
jplusequalt|21 days ago
It's 2026 for god's sake. I don't want to work __longer__ days, I want to work __shorter__ days.
SkyPuncher|21 days ago
The coding is now assumed "good enough" for me, but the problem definition and context that goes into that code aren't. I'm now able to spend more time on the upstream components of my work (where real, actual, hard thinking happens) while letting the AI figure out the little details.
Ygg2|21 days ago
packetlost|21 days ago
lm28469|21 days ago
Do you want to though?
jvanderbot|21 days ago
Additionally, I can eke out 4 hrs really deep diving nowadays, and have structured my workday around that, delegating low-mental-cost tasks to after that initial dive. Now diving is a low enough mental cost that I can do 8-12hrs of it.
It's a bicycle. Truly.
throwawaysleep|21 days ago
Throughout human history, we have chosen more work over keeping output stable.
coldtea|21 days ago
danaris|20 days ago
We don't have to do that anymore. We have enough food for everyone.
Now, we're just being whipped to work harder to produce more profits for the people who already have more than they will ever be able to spend. We're just increasing their dollar-denominated high scores.
throwaw12|21 days ago
Isn't it simple?
Because of competition, which is increased because of entry barrier is lowered a lot for building new software products.
You output a lot, so do your competition.
pllbnk|20 days ago
SkyPuncher|21 days ago
Heavy machinery replaces shovels. It reduces workload on the shovel holders, However, someone still needs to produce the heavy machinery.
Some of these companies are shovel holders, realizing they need to move up stream. Some of these companies are already upstream, racing to bring a product to market.
The underlying bet for nearly all of these companies is "If I can replace one workflow with AI, I can repeat that with other workflows and dominate"
bschwindHN|21 days ago
The software experience is always going to feel about the same speed perceptually, and employers will expect you to work the same amount (or more!)
tangjurine|19 days ago
natnatenathan|21 days ago
skybrian|21 days ago
DaedalusII|21 days ago
bingohbangoh|21 days ago
There's a palpable desperation that makes this wave different from mobile or cloud. It's not about making things better so much as its about not being left behind.
I'm not sure of the reason for this shift. It has a lot of overlap with the grindset culture you see on Twitter where people caution against taking breaks because your (mostly imaginary) competition may catch up with you.
lkbm|21 days ago
seanmcdirmid|21 days ago
There is a lot of work to do, just because you are doing more work with your time doesn’t mean you can somehow count that as less work.
hansonkd|21 days ago
Bullfight2Cond|21 days ago