4 ms·
The reality no one ever wants to talk about is that big tech doesn't need as many employees that it has. Anyone who has worked in big tech knows it is true.
by amazingamazing 5mo ago
The reality no one ever wants to talk about is that big tech doesn't need as many employees that it has. Anyone who has worked in big tech knows it is true.
- hnav 5mo agoAlmost like the whole “learn how to code” thing was a play. Commoditize your complement and all.
- lbrito 5mo agoThis has been true for many years though
- iejwjw 5mo agoIt’s been true since pre llm’s. In retrospect look at the graveyard filled with projects - this is a reflection of over hiring and poor project selection.
- cmiles8 5mo agoThis is very true and has been for a while. AI is just giving CEOs an excuse to just trim that fat. Even after layoffs most of big tech could cut 50% of its workforce tomorrow and see minimal impact long term. Thats driving a lot of the present layoffs as CEOs go “oh crap we gotta look like we’re with the cool kids on this AI stuff”… and then just do a big cut and cite AI. Truth is they could have cut years ago but had no social pressure to do so.
- torben-friis 5mo agoHave you read the article? This is about professions like paralegals or translators, not engineers.
- hn_throwaway_99 5mo agoWhenever articles like this come out, tons of the comments are just general zeitgeist responses about "corporate layoffs that blame AI". Which I think is a particular shame in this instance because I think the article narrows in with some actual good evidence that yes, there are vulnerable roles that AI is wholesale replacing and not leading to a "employees will just do more as they become more productive with AI" outcome. Looking through the list of those professions, I would bet that nearly half of them won't even exist anymore except for some extremely niche cases. Paralegals, translators, credit authorizers, many types of secretaries - AI can basically do nearly all the work for many of these occupations.
- torben-friis 5mo agoYeah, its basically a list of the subset of white collar busywork that was mechanical but for some reason not automatable with regular programming. Some or them like translators or graphic designers are kinda risky. Translating instruction manuals for sure is going the way of the dodo, but there is a ton of work in translating literature that shouldn't go away, it's its own art form. No coincidence that we're still publishing new translations of the Odyssey. I think the art world has a problem in that they were surviving by making art-adjacent material, where people wanted content more than art and won't care about the loss of quality. Corporate logos, ad jingles, etc.
- amazingamazing 5mo agoI didn't say anything about engineers. Big tech over employs across all professions. But in any case the primary source mentions tech: https://www.bls.gov/opub/mlr/2024/article/industry-and-occupational-employment-projections-overview-and-highlights-2023-33.htm https://www.bls.gov/opub/mlr/2024/article/industry-and-occup...
- frm88 5mo agoBroadcast announcers and radio discjockeys -20.8 - this doesn't sound like AI related, more like a social/political phenomenon. Same with sales engineers.
- interstice 5mo agoOkay but - if an industry can afford more employees than it has is there a real reason not to have them? Aside from shareholder greed etc.
- winrid 5mo agoYes because the most optimized company builds the most wealth and power and puts you out of business or destroys you.
- mempko 5mo agoIf this was true, the big tech companies would be the most optimized. Maybe efficiency isn't the biggest factor.
- darth_avocado 5mo agoMost optimized company would have 0 employees and only shareholder value.
- nradov 5mo agoIn principle it's possible to have a company with no employees and all work done by vendors / contractors. But in practice this usually turns out to be less optimized than having at least some regular employees due to transaction costs. Organizational optimization is always a balancing act.
- winrid 5mo agoPower is the biggest factor. Efficiency helps. I bet they're more efficient than most people think, it just doesn't scale linearly.
- buu700 5mo agoNot an unreasonable question in isolation, but "greed" is doing a lot of heavy lifting here. People's retirement accounts include shares in businesses because they expect those businesses to pursue profit and act in their interests as shareholders. If they didn't, people would rightfully pull their money and put it into more responsible businesses (or savings accounts, etc.). Charities and publicly funded social programs exist too, but those are different things.
- synergy20 5mo agoh1b and outsourcing will also go down on the tech side. the group got hit the hardest is gen-z tech graduates, no fixes ahead for them,sigh
- bobmarleybiceps 5mo agoI think Jensen Huang said this recently, and I've had a similar opinion for a while, but a lot of companies seem uncreative with how they use their employees. like google probably has >10k people working on stuff like "ensure gmail refresh button is the correct size", but why not fund teams to take on new and more risky projects... maybe part of it is that the type of people who work at big tech companies are not interested in risky projects :shrug:
- overfeed 5mo agoI bet Jensens thinks everyone working at Nvidia is crucial, and his reports hit the perfect balance of efficiency, continuity and growth. Classic Fundamental attribution error.
- hn_throwaway_99 5mo ago> like google probably has >10k people working on stuff like "ensure gmail refresh button is the correct size", but why not fund teams to take on new and more risky projects... maybe part of it is that the type of people who work at big tech companies are not interested in risky projects Wow, I really hope that you're just too young to remember when Google famously invested in tons of "let's see what happens" projects. Google X projects is still a thing: https://x.company/projects/ https://x.company/projects/. And important things like Waymo came out of these Google moonshot projects. Still, I think your comment also just shows how much Google has changed in the past 15 years. A lot of those projects on that x.company website are dead, and of course Google is also famous for killing projects that don't become huge, even if they're useful to lots of people.
- bobmarleybiceps 5mo agoyeah I was being very hyperbolic (and am on the younger side, so tbh wasn't very aware of a lot the x projects... I think those are even riskier than I meant.) google was probably the worst example for me to use tbh, especially since it still has such a good culture of funding researchers. There was a "meme" a few years ago saying gmail's UI has dozens teams working on each of the different buttons, so that was why I said google/gmail. huang's original comment was referencing layoffs due to AI, and I think a lot of the "maintaining/replacing existing stuff" engineers are at the most risk atm. But why lay people off why they could be pushed to work on new risky projects :-/ I do sort of think the stereotype of killing projects is kind in the vein of what I meant. like idk, google has so much money I feel like they don't need ~everything to clearly and immediately fit into their ai / data / advertising / search stuff. earnings - expenses is so huge, I think it should be fine to just allow some things to stay "small" without being a more "distinguished" moonshot-style project.
- fidotron 5mo agoFor a long time this was compounded by a "better inside the tent pissing out than outside the tent pissing in" strategy, where you hired people to deny them to your competition and then invented things for them to do. If it turns out whole segments are in fact pointless then the endgame could be truly nuts.
- nradov 5mo agoThat was never a major factor in employment statistics. Only a handful of the most profitable tech companies ever had the financial resources to even attempt that strategy, and only for a small fraction of their employees.
- fidotron 5mo agoAt FAANG it has been huge. Whole departments/products/divisions level, including many of the most expensive employees. There are reasons so many products get made to go precisely nowhere, because no one ever seriously intended for them to do otherwise. There are even cases where things succeeded by accident which were not supposed to and then have to be redone properly. As observed in another (more eloquent) comment here making the same point > In the new AI world, denying resources doesn’t slow competitors down anymore because AI raises the productivity floor. Now that over-employment brings no competitive advantage, we’re seeing huge cuts. This is completely right.
- nradov 5mo agoEven if your claim was true (and I don't really believe it) we're still talking about a tiny fraction of the overall tech labor market. The impact is insignificant.
- hysan 5mo agoI’ve had a longstanding belief that big tech purposely over-employed because it denied resources to competitors. This gave them a velocity edge despite being big and bureaucratic. In the new AI world, denying resources doesn’t slow competitors down anymore because AI raises the productivity floor. Now that over-employment brings no competitive advantage, we’re seeing huge cuts.
- machinekob 5mo agoDose AI really raise productivity floor that much? Do we have some good example of that?
- iejwjw 5mo agoNo because these people were held back by a lack of vision and poor project selection. Not this other stuff that people think. Vision cannot be bought (thankfully). A small team led by a real visionary can achieve much more than these bloated tech firms.
- bentt 5mo agoYes, they played a zero sum growth game and seeked acquisition and stock price increase. That ended. That explains most tech layoffs in the past few years.
- matrix87 5mo agoI don't think it's purposeful from a company leadership perspective. Imo what I've seen happen is it's just empire building. Say you're a billionaire CEO and you have a bunch of money to spend on accomplishing some business goal. To deploy that much money, you need layers of management. Every time you introduce a new layer, that layer will have its own incentives and spin off its own narratives to benefit themselves while simultaneously giving the opposite impression to leadership. This is probably just a natural byproduct of sufficiently large organizations. The same way the middle layers of the network stack tend to consolidate (e.g. TCP), there's some invisible hand of incentives which makes this inevitable
- Timon3 5mo agoI've been reading this same comment non-stop for the last five years.
- amazingamazing 5mo agoNo surprise, it has been true for a while.
- Timon3 5mo agoIt actually makes me very skeptical of your thesis - broadly discussed facts don't usually need to be wrapped in "nobody wants to talk about this, but everyone knows it's true".
- insane_dreamer 5mo agoAnd yet up until a few years ago there were all these forecasts about how we would be short xxxx SWEs
- sys_64738 5mo agoI'm at that point in my working life that I don't care about AI but I'd hate to be starting out or mid-career where I need to pay attention. I sometimes wonder if the glory years of tech are drawing to a close and it's time to draw a line under it before it changes too much. AI has tentacles into everything but the reason I do this career is that certain areas of work provide enjoyment. If AI takes that away then I would care less to do the job and be less invested to go the extra yard. I feel there's goodwill in employees that will get sucked out the more AI intrudes into our daily lives.
- matrix87 5mo agoI think it increases the amount of enjoyment, there's less semantic language specific stuff to deal with and you can spend more time on the core task. I think from my perspective at least, claude code / codex + improved information retrieval capabilities is good enough. The rest of the handwavey billionaire bullshit is just noise to me. I think it's wrong to sour on the technology, better to sour on the rich assholes who want to taint it with their personal agenda