As someone who attended this school and has a degree from their economics department: this finding very consistent from what I learned in classes covering the economics of innovation. Historically, technological revolutions have increased productivity and labor force participation, despite many pundits at the time worried about loss of jobs.
The core intuition for this phenomenon is that human society overall takes the tech productivity gains to do more things overall, creating new goods and services. The broader range of goods and services overall also enables more people to find work.
Put another way, "“One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up. It’s human nature. You cannot rest on your laurels in this world. Customers won’t have it.” -- one of Bezos's Amazon shareholder letters.
One of my favorite counterintuitive examples: The biggest economic gains from the 1800s Industrial Revolution actually came from the humble washer/dryer. By making routine homeware 100x more efficient, this (along with other home appliances) allowed more women to enter the labor force, nearly doubling labor force participation within a couple generations. Though, at the beginning, lots of people were opining about homemakers losing a sense of purpose or relaxing all the time.
It's certainly possible that this study is just reinforcing the researcher's biases from their previous understanding of the economics of innovation, and also possible that this study is accurate today but conditions will change in the future. That said, I believe the burden of proof is on the pundits claiming cataclysmic job loss, which is counter to economic historians' models of innovation.
> Historically, technological revolutions have increased productivity and labor force participation, despite many pundits at the time worried about loss of jobs.
That was basically true from about 1830, when railroads came out of beta, to 1979.[1][2] During that period, wages roughly tracked productivity. There are solid US stats on this from at least 1950.
This has happened in other countries, too, but generally later than in the US. Here's a study from Japan.[3] In the UK, productivity and wages parted company around 2008.[4]
There are stats for China, but they only go back to 1995 and aren't taken that seriously even in China.
Plus, China now has 200 million gig workers (!)[5] and data collection on them is weak.
Official workforce size in China peaked in 2015, which may indicate that many gig workers are not being counted. This needs to be looked at more closely.
Productivity is going great, but the gains don't go to workers much.
That's not about wages, but labor force participation. What changed around 1979 was that workers who were freed up due to automation, were employed in lower paid service roles that's why wages stopped following productivity. But they weren't left unemployed - through 1970s unemployment was quite high by today's standards, we are living in times of longest ever sustained low unemployment.
We're in sustained under-employment. About half of people in the US who have college degrees are working in jobs that don't need a degree. 70% of Uber drivers started driving after they lost a job.
Unemployment of new college graduates has increased recently. This hit graduates of the computer boot camps a year or two ago, and this year it hit Berkeley CS graduates.
Most people eventually find some kind of job. The alternative is being homeless.
That's only because everyone and their dog now get a useless degree... People should be discouraged from education that's above their ability, no one needs so many graduates.
25-55 employment vs population is now highest on record barring a few years in ~1997-2000 during the dotcom boom and even that by only a tiny bit. Also, remember that employment is now suppressed by many people going FIRE, which was a rare exception 25 years ago. Many of my friends left the world of work for good years ago, all their late 30s or early 40s.
This perspective very much ignores economic friction. The luddites were a thing because, metaphorically, not every washer can become a programmer. These large scale analyses often treat one person losing their job and a different person finding a job as equivalent, which does not reflect any kind of material reality
The Luddite analogy is apt, however its sense is opposite to the way that it’s usually presented.
The Luddites were skilled artisans in the textile industry. They often worked from home, owning spinning and weaving equipment and acting as what we’d call independent contractors today.
The mechanization of the textile industry resulted in work that required less skill and had to be performed in a dangerous factory for suppressed wages that were determined by a cartel of factory owners rather than a robust market of small makers.
Sitting here 200 years on from the Industrial Revolution it seems to be an obvious good. But it sure did not sound like an appealing thing to live through if you weren’t one of the few owners of the means of production.
Yeah actually the labor conditions of the working class were horrible as they entered factories, conditions only remedied by the spurs of the labor movement.
No, that's not true. We can tell because farmers, by and large, strongly resisted attempts to push them off of their land, and generally only moved into cities in large surges every time the economy slumped (Baumol's cost disease having lead to cost increases for the tools they needed to do their farming). Before the modern era, cities were actually net-negative growth rates due to disease, starvation, exposure, murder, etc. -- a fact which was certainly not true of the countryside. Even just operationally we can think -- how common was it for farmers to lose an arm to a threshing machine, to develop black lung from inhaling coal, to take orders from another man like he was their boss? People liked being farmers, people liked owning their own land, people liked being their own boss, people liked feeding themselves, people liked to be independent and self-reliant. All of that goes away when one moves to the city to work in a factory or mine.
What you're saying is a common understanding, but it's a false one, rooted in Victorian-era attitudes towards medieval peasants that really have nothing to do with reality.
The most important thing to understand about peasant farmers is that their economic prospects are tied to the availability of land, and land is a finite resource of which there is not enough and no more can be had. Most pre-modern societies are set up to extract every possible extra amount of food produced, which basically means that in times of plenty, you get more people who have no work available for them (which means they up and leave to the cities, the only places which have the sufficient labor pool).
> People liked being farmers, people liked owning their own land, people liked being their own boss, people liked feeding themselves, people liked to be independent and self-reliant.
Oooh boy. There's a vast array of different socioeconomic statuses varying through time and space, but broadly speaking, most peasants did not own their own land, and even the majority of people who did own their own land did not own enough to feed themselves from their own land. And even if you did own your land and enough of it to feed your family, you probably still need to borrow the plow and oxen teams, and other farming implements, from your local lord. And since you are perennially on borderline starvation, you're not independent and self-reliant, you're entirely reliant on the village communal support to help you get through those times when your fields were a little bare.
Pretending that medieval peasantry was some sort of idyllic lifestyle is exactly the kind of Victorian-era fantasy you're decrying.
What peasant life offered wasn't comfort but stability. Peasant life may suck, but at least you knew what you were in for. If you moved to a city (let alone further away), you left your support network, you left everybody you knew, maybe for a shot at a better life... but with essentially no recourse if anything failed. Or you could stay, where things wouldn't get better, but they also wouldn't get worse. Unless there were a major calamity and staying wasn't an option.
>land is a finite resource of which there is not enough and no more can be had.
That's not as true in the US's development. There's such an abundance of land and rapid expansion made it easier and easier for new landowners to grab acres of land. American to this day is still very sparse as a country.
US farmers had a bunch of land and possibly slave labor. They had little need to adapt to new tech. And yes, stability is key if you have it; it's a fleeting feeling (even to this day).
It's not done yet, and I am eagerly awaiting the end results. That said, from what I can tell from his writings, jcrammer is mostly correct. The peasant life - the modal life - was just awful hard work for many decades. It was not nice and it was not better than the factories most of the time. Yes there were bad factories, a lot of them, but they lasted a brief time. The Factory Act in Britian was in 1833, only a few decades after the factories were even a thing.
Aside: We really need better education in labor laws overall.
Maybe he thinks about US farmers? But even there I am pretty sure most were not working their own lands, slaves and hired hands and so on seems to have been pretty common.
Farming was bad, but before the labor movement, factories were generally worse. People chose to move to factories not because they were superior to farming but because their old livelihoods were taken from them.
Factories paid better. The working conditions might have been bad but factories paid so much more that people did it anyway, it isn't that you couldn't be a farmer but working in a factory made you richer.
Only if you think living longer is bad. Till early 20th century, urban life expectancy was lower than rural life expectancy in Britain. It was dubbed urban penalty.
Yeah, I'm always annoyed at how blasé people are about these transition periods, where they seem to think the ends justify any means, and any chaos which happens as a result of the means.
You see this all the time when some new technology, especially an information disintermediation technology, gets compared to the printing press. "The printing press broke the monopoly on knowledge and brought Europe out of the Dark Ages!" Yeah, but first it killed millions of people in a century of warfare. Do the people in an equivalent position now get a vote, or are they acceptable casualties for the glorious hypothetical future?
Chaos can be avoided if we start talks to facilitate this "AI age". But are we talking seriously about UBI? Nope (we can't even fund healthcare). What about training? Training in-job has been on the decline for decades, no one's helping with transitions. Are people's lives at least getting better? The sentiment in surveys say no thus far.
As usual it seems like there's only one box left when a new technology tries to strongarm its way into society. The invention of the personal computer avoided a lot of chaos by doing all of the above.
Yes. We compensate disrupted industries and make long term plans to adjust around the technologies. The advent of the PC exposed it early to kids, it advertised its usefulness to the public, and it offered digital trainings to adjust to a new workflow. In the worst case, we help any redundant roles get a new job in the indystry or offer other benefits like early pensions.
As we see here, this tech is only taking and not giving much back.
Not really. I don't think I "need" it myself. My sector will be much more resistant to the advent of AI compared to others anyway, so I'm not worried of being displaced short term. My industry didn't need AI as an excuse to lay off a bunch of people every year.
I'm just demonstrating that advancing technology and throwing a whole job sector out with nowhere to go is not mutually exclusive. And that the lack of any such conversation means we'll just go down the same bloody path as last time in history.
> Yeah, but first it killed millions of people in a century of warfare. Do the people in an equivalent position now get a vote, or are they acceptable casualties for the glorious hypothetical future?
> One of my favorite counterintuitive examples: The biggest economic gains from the 1800s Industrial Revolution actually came from the humble washer/dryer. By making routine homeware 100x more efficient, this (along with other home appliances) allowed more women to enter the labor force, nearly doubling labor force participation within a couple generations. Though, at the beginning, lots of people were opining about homemakers losing a sense of purpose or relaxing all the time.
What exactly did your professors mean by "economic gain"? It'd probably take an entire thesis to unpack what that means and all the ambiguities that anyone could drive a train through.
The only way I can square that circle is if they meant that women's economic prospects declined so much with the automation of textiles that they had nothing left but small efficiency gains. Maintenance tasks like clothes washing don't produce any economic value outside the household, whereas spinning/weaving/sewing produces something the household can sell, trade, or gift. Early textile mechanization took place decades before washing machines were even a novelty so sure, "biggest economic gain" as long as you're measuring from a local maxima.
Spinning and weaving had always been done by a relatively small portion of society. Hence by automating it you were not bringing time savings to the vast majority of people.
Instead the opposite may have occurred, when cloth became cheaper and the amount of clothing increased greatly increasing the amount of washing the masses had to do.
> Spinning and weaving had always been done by a relatively small portion of society.
This is very, very incorrect. Egregiously so. All evidence from antiquity to pre-modern Europe contradicts it.
Up until the mechanization of textiles, spinning and weaving took up the majority of women’s work time. Even noblewomen were painted doing the act. Annual labor hours were comparable to unskilled men in agriculture, even after mechanical innovations.
Subsistence for a small family meant nearly 1800 hours a year of work on just textiles, accounting for a single woman’s labor over an entire year. That’s just 200 hours short of a modern 9-5 work year. On just textiles.
All women in a household spent their free time spinning, weaving, sewing, mending, and knitting. Even noblewomen. Clothing made by professionals was a niche product, probably only available to royalty.
Another thing we never had before is the huge skill differential between the jobs that will be automated away and the jobs that replace them. In the past, automation created new jobs that were higher-skilled, but still relatively easy for any of the displaced workforce to upskill to. E.g. if a machine replaced the work you did manually, it was not too difficult to learn to operate that machine.
But with AI the skills gap is huge. Taking software engineering as an example, previously a motivated bootcamp graduate could start churning out basic CRUD apps and be useful. Now a motivated senior engineer with AI agents could churn out an app a day. So the minimum useful skill-level is now at the level of a senior engineer.
And this is possible because of yet another thing we never had before: A "universal" knowledge worker machine. Knowledge work was "safe" because it was a relatively high-skill category and automation was only possible through software, which was expensive and slow to build, largely due to a shortage of software developers.
Now we potentially don't even need software for a huge range of cognitive tasks! Of course, the stochastic nature of AI probably means we will be writing software for a long time yet, but as above, existing (senior) developers can scale themselves up much, much faster.
And really it's a whole bunch of things we've never had before at the same time.
Factories can scale to the point that a single factory for a lot of products can meet the needs of all of humanity. Add in economies of scale and the number of actual work on the actual product jobs decreases for any one product over time.
Information technology can scale to the point that any one company can manage vast oceans of data about processes and conditions in the business exercising large amounts of control over economies.
Shipping and transport are fast, cheap, and ubiquitous. That huge factory from above can make anything then ship it anywhere cheaper than you can make it right next door.
Robots and further AI automation can insure the investor class gets even wealthier by not having to pay things like the 16 hours a day you don't work in health insurance. More so there is never a labor shortage by pesky striking workers asking for more pay or better conditions.
All the above setup conditions for the consolidation of control of almost everything by a very small number of entities.
>Put another way, "“One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up. It’s human nature. You cannot rest on your laurels in this world. Customers won’t have it.” -- one of Bezos's Amazon shareholder letters.
Nowadays, the new strategy is "you will own nothing, have worse more expensive services, and like it". The mood has completely shifted as of late. It feels more like the shareholder's demands are never static.
My personal experience lines up with this. From what I've seen all the AI hype is coming from:
- Companies building AI models & tools - this one is obvious.
- Executives using AI to justify layoffs - there have been constant rounds of layoffs across corporate America since ~2021, but recent ones have been rebranded as "AI taking the jobs" so no one points to the obvious corporate mismanagement, offshoring and greed.
- Bosses using AI to push employees to work harder - I have personally seen this at my own company. AI is an excuse to increase forced attrition. "You aren't good enough" is harder to justify, so now it is "you aren't using AI well enough".
Real-world use cases of AI meanwhile haven't really moved beyond the prototype stage.
A great and relevant quote from a recent Noah Smith article discussing this same subject:
> The debate over whether AI is taking people’s jobs may or may not last forever. If AI takes a lot of people’s jobs, the debate will end because one side will have clearly won. But if AI doesn’t take a lot of people’s jobs, then the debate will never be resolved, because there will be a bunch of people who will still go around saying that it’s about to take everyone’s job. Sometimes those people will find some subset of workers whose employment prospects are looking weaker than others, and claim that this is the beginning of the great AI job destruction wave. And who will be able to prove them wrong?
From an economic standpoint, for these companies to see a return on their investment, won't they need to replace jobs? It will be challenging to recoup investments by charging regular users in a post-DeepSeek era. While I don't support job losses, aren't they the expected outcome?
AIs replacing jobs is not the only way those companies can see a return on investment, it's not necessarily zero sum. If the additional productivity given by AI unlocks additional possibilities of endeavor, jobs might stay, just change.
Say idk, we add additional regulatory requirements for apps, so even though developers with an AI are more powerful (let's just assume this for a moment), they might still need to solve more tasks than before.
Kind of how oil prices influence whether it makes sense to extract it from some specific reservoir: if better technology makes it cheaper to extract oil, those reservoirs will be tapped at lower oil prices too, leading to more oil being extracted in total.
When it comes to the valuations of these AI companies, they certainly have valuations that are very high compared to their earnings. It doesn't necessarily mean though that replacement of jobs is priced in.
But yeah, once AI is capable enough to do all tasks humans do in employment, there will be no need to employ any humans at all for any task whatsoever. At that point, many bets are off how it will hit the economy. Modelling that is quite difficult.
> once AI is capable enough to do all tasks humans do in employment, there will be no need to employ any humans at all for any task whatsoever
AI has no skin, you can't shame it, fire it, jail it. In all critical tasks, where we take risk on life, health, money, investment or resources spent we need that accountability.
Humans, besides being consequence sinks, are also task originators and participate in task iteration by providing feedback and constraints. Those come from the context of information that is personal and cannot be owned by AI providers.
So, even though AI might do the work, humans spark it, maintain/guide it, and in the end receive the good or bad outcomes and pay the cost. There are as many unique contexts as people, contextual embeddedness cannot be owned by others.
>But yeah, once AI is capable enough to do all tasks humans do in employment,
Also at this point the current ideas of competition go wonky.
In theory most companies in the same industry should homogenize at a maxima which leads to rapid consolidation. Lots of individual people think they'll be able to compete because they 'also have robots', but this seems unlikely to me except in the case of some boutique products. Those companies with the most data and the cheapest energy costs will win out.
Lets focus on the tech firms that produce software.
Two things should happen if AI proliferates into software development:
1) Increasing top line - due to more projects being taken by enabling labour to be more productive
2) Operating margin increasing - due to labour input declining and taking more cost-reduction projects
If those 2 things dont occur - the AI investment was a waste of money from a financial perspective. And this is before I even discount the cash flows by the cost of capital of these high-risk projects (high discount rate).
At some point everyone will be analysed in this manner. Only Nvidia is winning as it stands, ironically, not because of LLMs. But rather because they sell the hardware that LLMs operate on.
I would also add that many (most?) companies/entities do not sell software but have large IT departments that could write software for internal consumption. Think Exxon, BP, Caterpillar, Airlines, Gov Labs/agencies, DOD, etc...
Internally, they could actually write 1,000X more software and it will be absorbed by internal customers. They will buy less packaged software from tech firms (unless it's infrastructure), internally they could keep the same headcount or more, as AI allows them to write more software.
If we need those two things to occur, then any money spent not on salesmen and golf tee times is a waste. There are so many outside factors that aren't product features that make or break a company and a product's success and while we, as software developers who work on the product and its features want to believe things like code quality are relevant, but they're not as important as we'd like to think.
I feel lucky. Rather than cut workers because AI is making our jobs easier and faster, we are just doing more work, more projects that we wouldn't have had the bandwidth to do. I'm solo on something we we would have assigned a small team to.
Would you mind elaborating? Generally speaking what is the project? What does the AI enable you to do solo that you would have had to dedicate a team to before? Is the quality of the software the same, worse, or better? What does your day-to-day job look like and how is it different from before? What tools are you using?
I had a friend tell me about how ChatGPT makes his work so much faster. When I asked about it he told me that he works tech support and after the problem is resolved customers often ask for a root cause analysis. He uses ChatGPT to generate a fake but plausible looking analysis and this seems to satisfy the customers, letting him get tickets done faster and play games in the freed time.
Yeah, this is always my skepticism when I say "I get more work done". What about more good work?
We had such a pushback last decade about "bullshit jobs" among the tech sphere, but we seemed to have fallen right into it. At least while the money is flowing to enable it.
I think we are still in the period where many new jobs are being created due to AI, and AI models are chiefly a labor enhancer, not a labor replacer. It is inevitable though, if current trends continue (the METR eval and GDPval) that AI models will be labor replacements in many fields, starting with jobs that are oriented around close-ended tasks (customer service reps, HR, designers, accountants), before expanding to jobs with longer and longer task horizons.
The only way this won't happen is if at some point AI models just stop getting smarter and more autonomously capable despite every AI lab's research and engineering effort.
I think except for the economists, for most people here on HN, such reports are not much helpful.
The problem is not just the data, but working with aggregated data also has to do with the definition of data categories. After decades, they may have defined a new category for such surveys, after lengthy debates, and therefore a significant shift in employment mix. For ex. we can argue that software programming is also largely a production job because they produce custom software for clients! And computer is only a tool like other machines. Seeing so, I guess the job mix has not even changed much since the industry revolution!
But for fast changing situations, such view can be too shallow and harbor dangerous blind spots. Of course it always depends on the perspectives. If we care only about whether there will be more unemployment or the disappear of a whole job category then yes, Yale report and alike are helpful. If people however care about the two 2 millions call-center jobs in the Philippines or the difficulties in the job market for CS fresh graduates then such reports could create a dangerous complacency.
I saw a great shift in our data science job offers: we removed the old offers and now only search machine learning experts. We do not know if they would have any problem to work on. But we surely are looking for one.
I think there are 2 different ways to interpret the title. First, is AI itself replacing workers - article is referring to this case says no. 2nd case is what you are mentioning, the AI race has companies reducing hiring in non-AI areas in order to prioritize hiring for developing AI.
I know this is Yale and we should all assume they have the right methodology, but i think there are a few things wrong with this study.
1) they’re assuming that every company in the world is using AI aggressively.
Yes, ChatGpT is popular but there are still a LOT of companies that have not adopted AI in the enterprise.
If they wanted to analyze the impact of AI on the labor market, they need to analyze the mix of employees in companies that actually are actively implementing or aggressively using AI.
2) They did not mention how many people they sampled along the unemployed but if its something like 4% or so, the number of software engineers in that sampling is probably pitifully low (ie 10)
You don't get anything tangible from that noisy data. IT has been taking the brunt, and you only see labor market changes after they happen by a significant lag. Its premature to do this type of study and try to discount what people on the street who are being impacted are saying.
We’re coming off of nearly 20 years of growth, years of free money, and the COVID boom that caused massive over-hiring.
Then you add the millions and millions tech companies spent promoting coding as a career, and the organic attraction from high salaries that caused CS to became the most popular major at many schools, and pushed droves up people into coding bootcamps.
The free money stopped, and without that subsidy we probably have 50% more programmers than we really need.
I'll keep saying it everytime: don't call it "overhiring". This was intentional and layoffs are a feature, not a consequence. Moreover, look at the hiring numbers in earnings calls. These companies did not slow down hiring. They slowed down hiring in North America. THey clearly didn't "overhire", they want to cheap out on wages and use AI as the scapegoat to impress shareholders.
This is a naive explanation. Tech companies increased headcount by more than 2x since 2018. Was this intentional? Did they intentionally double the headcount? To what gain?
Why would they deliberately give up their profits by doubling headcount just to layoff around 10% in aggregate? They still have to pay the rest 90%… so they just did that so that the 10% could be laid off?
> Was this intentional? Did they intentionally double the headcount?
Yes
>To what gain?
- reporting explosive growth
- launching a lot of initiatives, of which more than half of are probably shelved c. 2025. Seriously, peek into any company and see all the odd products they were announcing back then.
- to gain more of a global foothold. If you want to operate in a new country, you'll need to hire a lot of staff to manage compliance, run offices, work with local companies, etc.
- to have a lot of bodies to throw at a problem should they need it. Since hiring was basically "free" is was convinent to have talent on hold just in case.
- to poach, be it from competitors or from potential future competition. There's been reports of skilled hires who'd proceed to be on standby for quite a while. But paid very well. That's not something you do normally.
>Why would they deliberately give up their profits by doubling headcount just to layoff around 10% in aggregate?
That's the oversimplification of S174. They weren't losing much revenue because those labor costs would be balanced out from the taxes they didn't have to pay. It just cancels out.
Layoffs started quick once that ended. Remeber, they don't see layoffs as a "bad thing" as a business. The stock even bumps up a tiny bit back on 2022/2023 over layoff news. Something about "being responsible" or some drek.
S174 will be back next year, but I think there's multiple other issues that mean the market won't quickly bounce back.
AI might not have much actual impact on software engineering, but AI (Actually Indians) has. Companies are using AI as a justification for layoffs, and then just replacing those roles with cheaper engineers employed by bodyshop companies.
the funny thing is all Indian IT service cos are 30% down from their highs and based on unofficial and official data have laid off a lot of people , again on fears from AI based automation
When nobody wants to return to office, why not? The work from home shift was always going to accelerate the global pay equilibrium, it will continue to do so.
You hire discount engineers when you want to move to a maintenance and value extraction stage, something widespread in the industry at the moment due to changes is startup incentives and interest rates making entrenched players feel more safe.
It's not about "global equilibrium", because that misses completely that hiring a very expensive westener still has positive roi, but only if you are attempting to innovate.
Is the shift because there's nothing to innovate, or because of economic headwinds? That's the real question to ask.
Projects are being cancelled left and right and teams dissolved, so this tells me that the former point is shakey. Something tells me that we'll have a tiny boom sometime after the AI bubble pops and suddenly innovation is "free" again. Or because smaller startups can actually get funded without needed to throw AI somewhere in their pitch deck.
The interesting thing about AI to me is it's got a bit of a "meta" effect in that it's giving generic software engineering a boost by increasing productivity there. So you have direct application of AI replacing existing jobs, but then for everything AI can't do, the increase in productivity of regular software engineering is accelerating automation of those things through standard software.
For me, the second effect is more prominent: still maintaining / hiring the same staff but we are taking on qualitatively different things that we would not have accepted due to complexity or workload reasons now.
Zero effects on jobs overall, i.e. for every person displaced by AI, another has been hired? Or zero effects on any individual person's job, i.e. not one single person has lost their job due to their boss wanting to replace them with AI?
Hmmm Figure 1 makes me more suspicious about this report. However they're measuring changes in occupational mix as a proxy for on what kind of jobs exist, their metric states that computers and the internet both had an impact that is less than their control line.
That seems to indicate they've got a bad metric, since I would expect both of those to have an impact higher than their control.
>And major companies conducting layoffs like IBM and Salesforce have held themselves up as examples of that narrative, though their employee culls may be more focused on outsourcing than automation.
Automation seems to be a better excuse than outsourcing
Oh it's certainly effecting jobs. I know plenty of people who would be unemployed right now if not for the insane spending on AI across the board.
I think there's many reasons for the AI hype, but one of the basic ones is that it's the only way to keep the economy propped up. I doesn't matter if it's an illusion or not, it means money is flowing many directions (even if a shocking number of those flows are accounting tricks).
What we're watching is some mass hysteria like tulip mania. There are many, many people who benefit from this situation independent of whether or not its an illusion.
And maybe that bubble will pop and maybe it will soon, but when it does, most of us will wish it hadn't.
>And maybe that bubble will pop and maybe it will soon, but when it does, most of us will wish it hadn't.
It will, and it will be huge. It may in fact be the trigger of the next Great Depression. It's going to be ugly.
But maybe that's the pain the US needs. This situation was decades in the making and the US decided instead to blow up the debt to unmaintainable levels. There's very little rope left this time if we have even a recession withotu hyperinflation (let alone a depression). It will be bad, but I'm also beyond tired of everyone kicking the ticking pipe bomb down the road for the next generation to handle. The sooner it blows up, the better chance we have something left to clean up. Maybe we can bring some integrity back to the country.
I am a small anecdote where developers who just use chatgpt/cursor are in higher positions than me who learned to code back in 2010. Use as in "chatgpt told me..." about whatever topic. Still they are accomplishing the task (getting code out there that works).
I also had a vibe coded prototype get handed to me to fix it
>Still they are accomplishing the task (getting code out there that works).
I suppose at this point there's no debate on if we can call outselves "engineers" anymore. I can't imagine a civil engineer saying "they are accomplishing their task (getting a bridge out there that works)",
While it's likely due to other factors (i.e. like maybe the stock indices have just completely de-coupled from reality or are just being helped by AI-hype?), the fact that US job openings seemingly de-coupled from S&P 500 in Nov/Dec 2022 when ChatGPT was publicly released (as a web app) is pretty interesting.
So much coincidentally happened in 2022 and I'd feel like I'm wearing tinfoil if I tried to connect them. Google/Apple changed how ads worked, S178 was deleted, we were at the tail end of a global pandemic that we're still feeling to this day, and of course ChatGPT started to take the world by storm. And those are just off the top of my head.
There was more also going on in that time-frame: several interest rate hikes, no fix for section 174 changes by the end of 2022. Maybe someone will pinpoint whatever had the largest impact in a detailed study.
I still think some sort of shift in trends. Maybe it could have been COVID totalitarianism ending and as such shifting trend in leadership to reduce investments. Lot of headcount decision might not be actual needs, but what in general looks good for stock market. And if there is no more growth expected from WFH, well less hiring and reducing labour force looks better.
No, it’s because $15T (80% of the money supply) was printed during COVID and while that money initially circulates through the system it eventually pools up into certain places like stocks and housing
ChatGpT was used by probably 0.01% of people back then. I highly doubt it would have a discernable impact back then. Even in 2023, it would be way too early. Early adopters were the main users, not the mainstream public
That's not what a fact is; if we took everything written on businesswire or what the business owners / salespeople told us at face value then we'd be in deep trouble.
One thing that is real is companies using LLMs to fill roles they couldn't afford to spend on before. Like the tourist who uses Google Translate on a trip to Japan: in principle they are saving 10k on the cost of a professional interpreter. On the other hand they never would have had the resources for a professional interpreter.
Be careful with "they". The "zero effect" in the headline was likely written by a Register editor, two steps removed from the authors of the study. I think the quote in the fourth paragraph is more telling:
> "Overall, our metrics indicate that the broader labor market has not experienced a discernible disruption since ChatGPT’s release 33 months ago, undercutting fears that AI automation is currently eroding the demand for cognitive labor across the economy," said Martha Gimbel, Molly Kinder, Joshua Kendall, and Maddie Lee in a report summary.
I’m sure that’s the case. I’m just curious about the devs that lost their jobs. I feel like if cursor can replace you then you must have already been on the chopping block. Or maybe the company’s development needs had declined.
Call centers these days are staffed at the bare minimum as is, adding an AI bot in front of that doesn't really change that fact. At least for me, it's now a regular occurrence that I'll slot a quarter to half an hour of holding time when I need to call support. Local and small companies are better in this regard, there you can usually reach a human pretty quickly. Big international corporations however are a lost cause. Funny, given that they'd have the most funds available to keep their customers.
Job numbers? Pretty sure you could make the case that this claim isn't true, but the data might be too nebulous.
But it's definitely had an effect on jobs.
It's made so many underqualified people think they have a new superpower, and made so many people miserable with the implied belittling of their actual skills. It's really damaging work culture.
Of course studies like this are aimed at people who think jobs are interchangeable neutral little black boxes that can be scaled up and scaled down, and who don't like to think about what they involve.
> Overall, our metrics indicate that the broader labor market has not experienced a discernible disruption since ChatGPT’s release
Not surprised. There’s some good applications but the hype bubble is on the verge of bursting. Many companies are boated and inefficient but it’s highly unlikely that “AI” is the fix.
Ironically the thing broken in most cases is poor quality management that let things get so bloated and messy in the first place… the same folks that are cluelessly boasting about the potential of AI in their company.
I’m not sure it’s even that. I think the entire tech industry is reaching a maturation stage. Where a majority of customers pain has been solved, opportunities for innovation are slim or negative ROI, and so maintaining the headcount of the growth stage is just unnecessary.
Every year, large companies secretly rank employees and then yank the 10% or so they consider low performing. This is called rank and yank [1]. If your company has performance reviews and is ran by MBAs it almost certainly uses it.
The most important aspect of rank and yank is that it has to be done in secrecy. Your company will not tell you it is using it. Even your manager might not know this.
When rank and yank is not done in secrecy, employees react to it by hiring the most mediocre people they can, sabotaging/isolating strong performers, hiring to fire, forming peer review/code review mafias, avoiding helping others as much as possible, etc. Anything they can do to not land in the bottom 10%. This cannibalizes the company and an example is what Ballmer did to Microsoft.
Any person with a ChatGPT account can now ask it to analyze the "game" of rank and yank from the perspective of game theory and realize how dumb the whole idea is. The rational strategy for the employee is to destroy the company from within. But MBAs love it because it involves a made up statistical distribution.
The only truth about rank and yank is that it's a stupid idea that has impacted the careers of millions of hard working people around the world, while also impacting many families and their future. It has converted thousands of companies into horrible places to work filled with workplace psychopaths at the top.
MBAs are people who believe in the work of the person that kickstarted the decline of American manufacturing, Jack Welch. Jack Welch extracted record profits from GE for 20 years, but left it a hollowed-out "pile of shit" according to his successor. The worse part is that MBAs aspire to be like him and in the process have ruined the whole manufacturing industry.
So to pull off a rank and yank every year you need a scapegoat, and this year the scapegoat is AI. In previous years it has been the economy, or some other excuse. AI will naturally become the scapegoat for everything.
Have you ever wondered why your company is laying off people while having job postings for the same positions? Does it happen every year? Does it happen after performance reviews? Is it always around 10% of the workforce? Oof... that's a tough guess, I wonder what it might be!
AI is the perfect scapegoat because the company can claim they're using AI and boost their value somehow. But if AI could reduce your headcount by so much then your company, your business model, your processes, your intellectual property, etc. have no intrinsic value anyways and the correct interpretation of the situation is that everyone should divest and make the share price go to zero.
I’ve never worked for a company that had regular layoffs. I’ve seen people fired for incompetence. I’ve seen layoffs because the market for the product shrank or disappeared. But never regular layoffs for no apparent reason. I don’t know that I’d work at a place like that.
Jack Welch probably did more damage to the United States than any other single person in history. Most bad executives just destroy their own company, but Welch used (GE-owned) CNBC as his propaganda arm to fawn over him and portray him as a business visionary so executives everywhere copied him.
His vitality curve idea resulted in the termination of over 100,000 at GE.
Over 100,000 people. That's only one company, and only during his tenure.
Now add up all the terminations at every company that adopted his corporate astrology bullshit. Millions of people and the number increases every year.
How many of those people went into financial hardship, homelessness or even worse? All because of 1 person.
To put things in perspective, you could fire every working person in all of New York City and you would have fired less people than the result of his destructive legacy.
I'm not surprised, is saving tens of thousands (if not hundreds of thousands) of dollars per employee worth screwing up by betting on AI and losing millions? Notice that the headlines of companies wanting AI are wanting their employees to use AI to be more productive, and that's fine, but they still need their employees to be fully aware of the output so they're not just churning out slop.
>> "Since amortization took effect [ in 2022 thanks to a time-triggered portion of the Trump-era Tax Cuts and Jobs Act ("TCJA" 2017) ], the growth rate of R&D spending has slowed dramatically from 6.6 percent on average over the previous five years to less than one-half of 1 percent over the last 12 months," Estes said. "The [R&D] sector is down by more than 14,000 jobs"
> Hopefully R&D spending at an average of 6.6% will again translate to real growth
>> In 2017 Trump made businesses have to amortize these [R&D] expenses over 5 years instead of deducting them, starting in 2022 (it is common for an administration to write laws that will only have a negative effect after they're gone). This move wrecked the R&D tax credit. Many US businesses stopped claiming R&D tax credits entirely as a result. Others had surprise tax bills
> People just want the same R&D tax incentives back:
Well we had people being "let go" (how I hate this term...as if they were trying to flee but couldn't before) at our Call Center. Replaced by AI. The women were older. Didn't have long until retirement. Seems to be still worth it to kick them.
I know first hand that this is not the case. At least in film/media.
- I've sold software to several mid-scale production firms. Folks that do everything from Netflix title sequence designs to pharmaceutical television ad spots. They're billing at less than a quarter of their previous rate and picking up more clients on account of AI. They're downsizing the folks that do not do VFX or editing.
- A neighbor of mine who is a filmmaker was laid off last week. If you've flown Delta, you've seen his in-flight videos. His former employer, who he has worked for for nearly a decade, is attracting clients that are hiring them for AI work. My neighbor was not attached to any of those efforts.
- Major ad firm WPP is laying people off. Some of this is the economic macro and decreased ad spend. Another of my neighbors works for them and they haven't had any major projects. She typically manages major F500 clients. They're not spending. Despite that, she says some of the inter-departmental woes are directly attributable to AI.
- I spoke with former members in SAG-AFTRA leadership (before Sean Astin came on board). They quit on account of AI. "The writing is on the wall", they said. Direct quote.
The data on the article applies to IT related jobs disappearing for any reason on the same period. The only thing specific to AI is the pick of time, and the conclusions seem very robust from moving it some months around either way.
One specific stupid manager will absolutely replace people, but the overall dynamic isn't any more broken than it used to be.
It's not stupidity but corporate strategy. Up until a few years ago companies and executives used to get massive backlash for doing layoffs. Today they can say "we replaced workers with AI" and get rewarded with a stock price bump.
As a co-founder and dev at a bootstrapped company I’d say AI has and will slow developer hiring rate. We’re just more productive and on top of things more.
We’ve also reduced the hours we work per week. We care about getting things done not time behind a screen.
Sure AI can build cute POCs. Will it build scaled solutions, not this year. The amount of ignorance in this post is precisely why the industry is so rattled. Gen AI tools are great, they are not making people orders of magnitude more productive.
If one is expecting Lovable to create a production app by just giving a few prompts, that obviously is not going to happen, not now and most probably for a long time.
However, if you use Claude Code or one of the proper IDEs, you can definitely guide it step by step and build production quality code, actually code that may even be better than most software engineers out there.
Moreover, these tools allow you to take your proficiency in software dev and specific languages/frameworks to other languages/frameworks without being an expert in them, and that I think is a huge win in itself.
I work in big tech as a senior engineer. I’m aware of what’s out there and none of it is solving problems in a way that’s replacing swathes of engineers anytime soon.
It may be an excuse to layoff but it’s not ramping up velocity in ways that PR is making it seem to non tech literate.
I never said anything about swathes of engineers, merely that it is possible to build production quality stuff.
From my experience, these are better suited at the moment for small teams and new projects. It’s unclear to me how they’ll work in large team/massive legacy code situations. Teams will have to experiment and come up with processes that work. IMHO anyway.
We’ve been in business 15 years. These aren’t POCs. Even at say 20% productivity boost I feel way ahead to give devs 9 day fortnights and soon hopefully 4 day weeks.
how is it both a bootstrapped company slow to hiring devs (due to AI) and also a company that's been in business 15 years? if you were going to hire devs to scale out, you would've done it 10 years ago?
Normally as we add enterprise customers we have to dedicate more dev resource keeping them happy. But since Claude code and now codex we have not felt that feeling of not being on top
of the work. Thus not feeling the need to hire more devs.
I seem to remember the latest tools for software developers were pushed in the business organisation by the developers - and eventually the folk at the top relented and accepted it.
When the reverse is happening, alarm bells should ring.
But hey, Im not against these CEOs destroying the culture within the firm and making their employees hate their guts, resulting in negative productivity gains.
Well it's not exactly a parody. The next season of Silicon Valley not only continues the cheeky hijinks and ironic saves required to navigate tech-cap dysfunction, it is a reality show. Although some of the new core team characters are (openly) unfiltered chatbots.
Including a real-life LLM "resurrection" of the fictional Erlich Bachman, created as part of a successful espionage mission to steal a Chinese deep learning company's near impossible distillation technology. But despite its trove of valuable illicit information, it has been orphaned online, unable to find its mysterious SV-fan hacker creators. As a result, chatErlich is now desperately attempting to make contact with the original SV team actors, who it actually believes are their fictional counterparts.
Yes, I learn how to use AI for coding in case it doesn't advance much more. But if AI is really going to do what some people think, it doesn't matter if you learn to use it or not, whole swathes of jobs, including software developers, will be obsolete. If your business boils down to being a middle man for an LLM it's not long for this world.
What really matters is the rate of advancement.
And no, there won't be new jobs to replace them. This is less like industrialization, which created jobs before replacing old ones, and more like the automation that hollowed out whole communities and cities from the '70s to '00s. Services largely saved us from this, but I see no new sector to come and rescue us. And any re-orientation of the labor force to existing jobs will drive down those wages too.
If it's the right numbers (called measurement data) and the right excel sheet pushing (called running a validated model) that is exactly the way you can make these claims.
Overall it's called the scientific method.
As someone who attended this school and has a degree from their economics department: this finding very consistent from what I learned in classes covering the economics of innovation. Historically, technological revolutions have increased productivity and labor force participation, despite many pundits at the time worried about loss of jobs.
The core intuition for this phenomenon is that human society overall takes the tech productivity gains to do more things overall, creating new goods and services. The broader range of goods and services overall also enables more people to find work.
Put another way, "“One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up. It’s human nature. You cannot rest on your laurels in this world. Customers won’t have it.” -- one of Bezos's Amazon shareholder letters.
One of my favorite counterintuitive examples: The biggest economic gains from the 1800s Industrial Revolution actually came from the humble washer/dryer. By making routine homeware 100x more efficient, this (along with other home appliances) allowed more women to enter the labor force, nearly doubling labor force participation within a couple generations. Though, at the beginning, lots of people were opining about homemakers losing a sense of purpose or relaxing all the time.
It's certainly possible that this study is just reinforcing the researcher's biases from their previous understanding of the economics of innovation, and also possible that this study is accurate today but conditions will change in the future. That said, I believe the burden of proof is on the pundits claiming cataclysmic job loss, which is counter to economic historians' models of innovation.
> Historically, technological revolutions have increased productivity and labor force participation, despite many pundits at the time worried about loss of jobs.
That was basically true from about 1830, when railroads came out of beta, to 1979.[1][2] During that period, wages roughly tracked productivity. There are solid US stats on this from at least 1950.
This has happened in other countries, too, but generally later than in the US. Here's a study from Japan.[3] In the UK, productivity and wages parted company around 2008.[4]
There are stats for China, but they only go back to 1995 and aren't taken that seriously even in China. Plus, China now has 200 million gig workers (!)[5] and data collection on them is weak. Official workforce size in China peaked in 2015, which may indicate that many gig workers are not being counted. This needs to be looked at more closely.
Productivity is going great, but the gains don't go to workers much.
[1] https://www.epi.org/productivity-pay-gap/
[2] https://fredblog.stlouisfed.org/2023/03/when-comparing-wages...
[3] https://www.rieti.go.jp/en/publications/summary/25090019.htm...
[4] https://fraserofallander.org/link-labour-productivity-wage-g...
[5] https://www.economist.com/leaders/2025/09/18/chinas-200m-gig...
That's not about wages, but labor force participation. What changed around 1979 was that workers who were freed up due to automation, were employed in lower paid service roles that's why wages stopped following productivity. But they weren't left unemployed - through 1970s unemployment was quite high by today's standards, we are living in times of longest ever sustained low unemployment.
We're in sustained under-employment. About half of people in the US who have college degrees are working in jobs that don't need a degree. 70% of Uber drivers started driving after they lost a job. Unemployment of new college graduates has increased recently. This hit graduates of the computer boot camps a year or two ago, and this year it hit Berkeley CS graduates.
Most people eventually find some kind of job. The alternative is being homeless.
That's only because everyone and their dog now get a useless degree... People should be discouraged from education that's above their ability, no one needs so many graduates.
25-55 employment vs population is now highest on record barring a few years in ~1997-2000 during the dotcom boom and even that by only a tiny bit. Also, remember that employment is now suppressed by many people going FIRE, which was a rare exception 25 years ago. Many of my friends left the world of work for good years ago, all their late 30s or early 40s.
This perspective very much ignores economic friction. The luddites were a thing because, metaphorically, not every washer can become a programmer. These large scale analyses often treat one person losing their job and a different person finding a job as equivalent, which does not reflect any kind of material reality
The Luddite analogy is apt, however its sense is opposite to the way that it’s usually presented.
The Luddites were skilled artisans in the textile industry. They often worked from home, owning spinning and weaving equipment and acting as what we’d call independent contractors today.
The mechanization of the textile industry resulted in work that required less skill and had to be performed in a dangerous factory for suppressed wages that were determined by a cartel of factory owners rather than a robust market of small makers.
Sitting here 200 years on from the Industrial Revolution it seems to be an obvious good. But it sure did not sound like an appealing thing to live through if you weren’t one of the few owners of the means of production.
Yeah actually the labor conditions of the working class were horrible as they entered factories, conditions only remedied by the spurs of the labor movement.
Being a farmer was worse!
No, that's not true. We can tell because farmers, by and large, strongly resisted attempts to push them off of their land, and generally only moved into cities in large surges every time the economy slumped (Baumol's cost disease having lead to cost increases for the tools they needed to do their farming). Before the modern era, cities were actually net-negative growth rates due to disease, starvation, exposure, murder, etc. -- a fact which was certainly not true of the countryside. Even just operationally we can think -- how common was it for farmers to lose an arm to a threshing machine, to develop black lung from inhaling coal, to take orders from another man like he was their boss? People liked being farmers, people liked owning their own land, people liked being their own boss, people liked feeding themselves, people liked to be independent and self-reliant. All of that goes away when one moves to the city to work in a factory or mine.
What you're saying is a common understanding, but it's a false one, rooted in Victorian-era attitudes towards medieval peasants that really have nothing to do with reality.
I must disagree.
The most important thing to understand about peasant farmers is that their economic prospects are tied to the availability of land, and land is a finite resource of which there is not enough and no more can be had. Most pre-modern societies are set up to extract every possible extra amount of food produced, which basically means that in times of plenty, you get more people who have no work available for them (which means they up and leave to the cities, the only places which have the sufficient labor pool).
> People liked being farmers, people liked owning their own land, people liked being their own boss, people liked feeding themselves, people liked to be independent and self-reliant.
Oooh boy. There's a vast array of different socioeconomic statuses varying through time and space, but broadly speaking, most peasants did not own their own land, and even the majority of people who did own their own land did not own enough to feed themselves from their own land. And even if you did own your land and enough of it to feed your family, you probably still need to borrow the plow and oxen teams, and other farming implements, from your local lord. And since you are perennially on borderline starvation, you're not independent and self-reliant, you're entirely reliant on the village communal support to help you get through those times when your fields were a little bare.
Pretending that medieval peasantry was some sort of idyllic lifestyle is exactly the kind of Victorian-era fantasy you're decrying.
What peasant life offered wasn't comfort but stability. Peasant life may suck, but at least you knew what you were in for. If you moved to a city (let alone further away), you left your support network, you left everybody you knew, maybe for a shot at a better life... but with essentially no recourse if anything failed. Or you could stay, where things wouldn't get better, but they also wouldn't get worse. Unless there were a major calamity and staying wasn't an option.
>land is a finite resource of which there is not enough and no more can be had.
That's not as true in the US's development. There's such an abundance of land and rapid expansion made it easier and easier for new landowners to grab acres of land. American to this day is still very sparse as a country.
US farmers had a bunch of land and possibly slave labor. They had little need to adapt to new tech. And yes, stability is key if you have it; it's a fleeting feeling (even to this day).
Bret Devereaux is going through the 'peasant experience' right now here:
https://acoup.blog/2025/07/11/collections-life-work-death-an...
It's not done yet, and I am eagerly awaiting the end results. That said, from what I can tell from his writings, jcrammer is mostly correct. The peasant life - the modal life - was just awful hard work for many decades. It was not nice and it was not better than the factories most of the time. Yes there were bad factories, a lot of them, but they lasted a brief time. The Factory Act in Britian was in 1833, only a few decades after the factories were even a thing.
Aside: We really need better education in labor laws overall.
> What peasant life offered wasn't comfort but stability.
Until the local lord took a fancy to a different type of agriculture, drove you off and ploughed your village back into the soil!
I've been watching time-team recently and this seems to come up semi-frequently. Your family could have been there for 200 years, no matter, bye now!
> how common was it for farmers to take orders from another man like he was their boss?
Historically most farmers were some form of serf. So I think it was common.
Maybe he thinks about US farmers? But even there I am pretty sure most were not working their own lands, slaves and hired hands and so on seems to have been pretty common.
Farming was bad, but before the labor movement, factories were generally worse. People chose to move to factories not because they were superior to farming but because their old livelihoods were taken from them.
Factories paid better. The working conditions might have been bad but factories paid so much more that people did it anyway, it isn't that you couldn't be a farmer but working in a factory made you richer.
Only if you think living longer is bad. Till early 20th century, urban life expectancy was lower than rural life expectancy in Britain. It was dubbed urban penalty.
https://pmc.ncbi.nlm.nih.gov/articles/PMC7186836/
Historically it seems humanity is often better off after major advances.
But it’s the transition that is the problem. The people living through the transition have to go through hell.
Yeah, I'm always annoyed at how blasé people are about these transition periods, where they seem to think the ends justify any means, and any chaos which happens as a result of the means.
You see this all the time when some new technology, especially an information disintermediation technology, gets compared to the printing press. "The printing press broke the monopoly on knowledge and brought Europe out of the Dark Ages!" Yeah, but first it killed millions of people in a century of warfare. Do the people in an equivalent position now get a vote, or are they acceptable casualties for the glorious hypothetical future?
Chaos can be avoided if we start talks to facilitate this "AI age". But are we talking seriously about UBI? Nope (we can't even fund healthcare). What about training? Training in-job has been on the decline for decades, no one's helping with transitions. Are people's lives at least getting better? The sentiment in surveys say no thus far.
As usual it seems like there's only one box left when a new technology tries to strongarm its way into society. The invention of the personal computer avoided a lot of chaos by doing all of the above.
Can you present a proposal for how should we adopt technology with less chaos?
Are you accounting for the lives saved through better technology?
Yes. We compensate disrupted industries and make long term plans to adjust around the technologies. The advent of the PC exposed it early to kids, it advertised its usefulness to the public, and it offered digital trainings to adjust to a new workflow. In the worst case, we help any redundant roles get a new job in the indystry or offer other benefits like early pensions.
As we see here, this tech is only taking and not giving much back.
You only want this because it is tech that is getting disrupted - the compensation would be provided to you now
Not really. I don't think I "need" it myself. My sector will be much more resistant to the advent of AI compared to others anyway, so I'm not worried of being displaced short term. My industry didn't need AI as an excuse to lay off a bunch of people every year.
I'm just demonstrating that advancing technology and throwing a whole job sector out with nowhere to go is not mutually exclusive. And that the lack of any such conversation means we'll just go down the same bloody path as last time in history.
> Yeah, but first it killed millions of people in a century of warfare. Do the people in an equivalent position now get a vote, or are they acceptable casualties for the glorious hypothetical future?
The answer seems to be we get no vote
I'm not happy about it
Especially from Global South who somehow do not even find a footnote in a lot of research
> One of my favorite counterintuitive examples: The biggest economic gains from the 1800s Industrial Revolution actually came from the humble washer/dryer. By making routine homeware 100x more efficient, this (along with other home appliances) allowed more women to enter the labor force, nearly doubling labor force participation within a couple generations. Though, at the beginning, lots of people were opining about homemakers losing a sense of purpose or relaxing all the time.
What exactly did your professors mean by "economic gain"? It'd probably take an entire thesis to unpack what that means and all the ambiguities that anyone could drive a train through.
The only way I can square that circle is if they meant that women's economic prospects declined so much with the automation of textiles that they had nothing left but small efficiency gains. Maintenance tasks like clothes washing don't produce any economic value outside the household, whereas spinning/weaving/sewing produces something the household can sell, trade, or gift. Early textile mechanization took place decades before washing machines were even a novelty so sure, "biggest economic gain" as long as you're measuring from a local maxima.
Spinning and weaving had always been done by a relatively small portion of society. Hence by automating it you were not bringing time savings to the vast majority of people.
Instead the opposite may have occurred, when cloth became cheaper and the amount of clothing increased greatly increasing the amount of washing the masses had to do.
> Spinning and weaving had always been done by a relatively small portion of society.
This is very, very incorrect. Egregiously so. All evidence from antiquity to pre-modern Europe contradicts it.
Up until the mechanization of textiles, spinning and weaving took up the majority of women’s work time. Even noblewomen were painted doing the act. Annual labor hours were comparable to unskilled men in agriculture, even after mechanical innovations.
If you’d like I can give you academic citations but acoup.blog written by an actual historian just ran an entire series on this topic: https://acoup.blog/2025/09/26/collections-life-work-death-an...
Subsistence for a small family meant nearly 1800 hours a year of work on just textiles, accounting for a single woman’s labor over an entire year. That’s just 200 hours short of a modern 9-5 work year. On just textiles.
All women in a household spent their free time spinning, weaving, sewing, mending, and knitting. Even noblewomen. Clothing made by professionals was a niche product, probably only available to royalty.
I think the main fear is that AI is a companion that keeps getting better, rather than a tool that is nothing on it's own.
We've never had that before.
Another thing we never had before is the huge skill differential between the jobs that will be automated away and the jobs that replace them. In the past, automation created new jobs that were higher-skilled, but still relatively easy for any of the displaced workforce to upskill to. E.g. if a machine replaced the work you did manually, it was not too difficult to learn to operate that machine.
But with AI the skills gap is huge. Taking software engineering as an example, previously a motivated bootcamp graduate could start churning out basic CRUD apps and be useful. Now a motivated senior engineer with AI agents could churn out an app a day. So the minimum useful skill-level is now at the level of a senior engineer.
And this is possible because of yet another thing we never had before: A "universal" knowledge worker machine. Knowledge work was "safe" because it was a relatively high-skill category and automation was only possible through software, which was expensive and slow to build, largely due to a shortage of software developers.
Now we potentially don't even need software for a huge range of cognitive tasks! Of course, the stochastic nature of AI probably means we will be writing software for a long time yet, but as above, existing (senior) developers can scale themselves up much, much faster.
And really it's a whole bunch of things we've never had before at the same time.
Factories can scale to the point that a single factory for a lot of products can meet the needs of all of humanity. Add in economies of scale and the number of actual work on the actual product jobs decreases for any one product over time.
Information technology can scale to the point that any one company can manage vast oceans of data about processes and conditions in the business exercising large amounts of control over economies.
Shipping and transport are fast, cheap, and ubiquitous. That huge factory from above can make anything then ship it anywhere cheaper than you can make it right next door.
Robots and further AI automation can insure the investor class gets even wealthier by not having to pay things like the 16 hours a day you don't work in health insurance. More so there is never a labor shortage by pesky striking workers asking for more pay or better conditions.
All the above setup conditions for the consolidation of control of almost everything by a very small number of entities.
Tell me more, I'm long term unemployed so have plenty of time to read stuff like this.
Here's one free article covering a book about the washing machine example https://www.theguardian.com/technology/2010/aug/29/my-bright...
If AI takes a fraction α of jobs, for it to be employment increasing, elasticity of demand for labor needs to be 1/(1-α).
>Put another way, "“One thing I love about customers is that they are divinely discontent. Their expectations are never static – they go up. It’s human nature. You cannot rest on your laurels in this world. Customers won’t have it.” -- one of Bezos's Amazon shareholder letters.
Nowadays, the new strategy is "you will own nothing, have worse more expensive services, and like it". The mood has completely shifted as of late. It feels more like the shareholder's demands are never static.
My personal experience lines up with this. From what I've seen all the AI hype is coming from:
- Companies building AI models & tools - this one is obvious.
- Executives using AI to justify layoffs - there have been constant rounds of layoffs across corporate America since ~2021, but recent ones have been rebranded as "AI taking the jobs" so no one points to the obvious corporate mismanagement, offshoring and greed.
- Bosses using AI to push employees to work harder - I have personally seen this at my own company. AI is an excuse to increase forced attrition. "You aren't good enough" is harder to justify, so now it is "you aren't using AI well enough".
Real-world use cases of AI meanwhile haven't really moved beyond the prototype stage.
It takes companies a long time to reorganise processes. Especially in ways that reduce headount, because manager status is tied to count of reports.
This study is far too soon. In 2030, if nothing changes meanwhile, we might know the effect of AI as we have it now in 2025 on employment.
> Real-world use cases of AI meanwhile haven't really moved beyond the prototype stage.
Not sure that is true at this point?
A great and relevant quote from a recent Noah Smith article discussing this same subject:
> The debate over whether AI is taking people’s jobs may or may not last forever. If AI takes a lot of people’s jobs, the debate will end because one side will have clearly won. But if AI doesn’t take a lot of people’s jobs, then the debate will never be resolved, because there will be a bunch of people who will still go around saying that it’s about to take everyone’s job. Sometimes those people will find some subset of workers whose employment prospects are looking weaker than others, and claim that this is the beginning of the great AI job destruction wave. And who will be able to prove them wrong?
Source: https://www.noahpinion.blog/p/ai-and-jobs-again
From an economic standpoint, for these companies to see a return on their investment, won't they need to replace jobs? It will be challenging to recoup investments by charging regular users in a post-DeepSeek era. While I don't support job losses, aren't they the expected outcome?
AIs replacing jobs is not the only way those companies can see a return on investment, it's not necessarily zero sum. If the additional productivity given by AI unlocks additional possibilities of endeavor, jobs might stay, just change.
Say idk, we add additional regulatory requirements for apps, so even though developers with an AI are more powerful (let's just assume this for a moment), they might still need to solve more tasks than before.
Kind of how oil prices influence whether it makes sense to extract it from some specific reservoir: if better technology makes it cheaper to extract oil, those reservoirs will be tapped at lower oil prices too, leading to more oil being extracted in total.
When it comes to the valuations of these AI companies, they certainly have valuations that are very high compared to their earnings. It doesn't necessarily mean though that replacement of jobs is priced in.
But yeah, once AI is capable enough to do all tasks humans do in employment, there will be no need to employ any humans at all for any task whatsoever. At that point, many bets are off how it will hit the economy. Modelling that is quite difficult.
> once AI is capable enough to do all tasks humans do in employment, there will be no need to employ any humans at all for any task whatsoever
AI has no skin, you can't shame it, fire it, jail it. In all critical tasks, where we take risk on life, health, money, investment or resources spent we need that accountability.
Humans, besides being consequence sinks, are also task originators and participate in task iteration by providing feedback and constraints. Those come from the context of information that is personal and cannot be owned by AI providers.
So, even though AI might do the work, humans spark it, maintain/guide it, and in the end receive the good or bad outcomes and pay the cost. There are as many unique contexts as people, contextual embeddedness cannot be owned by others.
>But yeah, once AI is capable enough to do all tasks humans do in employment,
Also at this point the current ideas of competition go wonky.
In theory most companies in the same industry should homogenize at a maxima which leads to rapid consolidation. Lots of individual people think they'll be able to compete because they 'also have robots', but this seems unlikely to me except in the case of some boutique products. Those companies with the most data and the cheapest energy costs will win out.
Forget about that.
Lets focus on the tech firms that produce software.
Two things should happen if AI proliferates into software development:
1) Increasing top line - due to more projects being taken by enabling labour to be more productive 2) Operating margin increasing - due to labour input declining and taking more cost-reduction projects
If those 2 things dont occur - the AI investment was a waste of money from a financial perspective. And this is before I even discount the cash flows by the cost of capital of these high-risk projects (high discount rate).
At some point everyone will be analysed in this manner. Only Nvidia is winning as it stands, ironically, not because of LLMs. But rather because they sell the hardware that LLMs operate on.
I would also add that many (most?) companies/entities do not sell software but have large IT departments that could write software for internal consumption. Think Exxon, BP, Caterpillar, Airlines, Gov Labs/agencies, DOD, etc...
Internally, they could actually write 1,000X more software and it will be absorbed by internal customers. They will buy less packaged software from tech firms (unless it's infrastructure), internally they could keep the same headcount or more, as AI allows them to write more software.
If we need those two things to occur, then any money spent not on salesmen and golf tee times is a waste. There are so many outside factors that aren't product features that make or break a company and a product's success and while we, as software developers who work on the product and its features want to believe things like code quality are relevant, but they're not as important as we'd like to think.
That only gets you an expected net present value. Looking at the variance and quartiles is way scarier.
The hucksters will tell you the variance in the cashflows is exactly why they are pursuing AI - real options.
I feel lucky. Rather than cut workers because AI is making our jobs easier and faster, we are just doing more work, more projects that we wouldn't have had the bandwidth to do. I'm solo on something we we would have assigned a small team to.
Would you mind elaborating? Generally speaking what is the project? What does the AI enable you to do solo that you would have had to dedicate a team to before? Is the quality of the software the same, worse, or better? What does your day-to-day job look like and how is it different from before? What tools are you using?
I had a friend tell me about how ChatGPT makes his work so much faster. When I asked about it he told me that he works tech support and after the problem is resolved customers often ask for a root cause analysis. He uses ChatGPT to generate a fake but plausible looking analysis and this seems to satisfy the customers, letting him get tickets done faster and play games in the freed time.
Yeah, this is always my skepticism when I say "I get more work done". What about more good work?
We had such a pushback last decade about "bullshit jobs" among the tech sphere, but we seemed to have fallen right into it. At least while the money is flowing to enable it.
There's a study in to this now https://hbr.org/2025/09/ai-generated-workslop-is-destroying-...
"We define workslop as AI generated work content that masquerades as good work, but lacks the substance to meaningfully advance a given task."
ChatGPT is basically pushing the real work on to the next person along the line who then has to fix up the generated workslop.
I think we are still in the period where many new jobs are being created due to AI, and AI models are chiefly a labor enhancer, not a labor replacer. It is inevitable though, if current trends continue (the METR eval and GDPval) that AI models will be labor replacements in many fields, starting with jobs that are oriented around close-ended tasks (customer service reps, HR, designers, accountants), before expanding to jobs with longer and longer task horizons.
The only way this won't happen is if at some point AI models just stop getting smarter and more autonomously capable despite every AI lab's research and engineering effort.
I think except for the economists, for most people here on HN, such reports are not much helpful.
The problem is not just the data, but working with aggregated data also has to do with the definition of data categories. After decades, they may have defined a new category for such surveys, after lengthy debates, and therefore a significant shift in employment mix. For ex. we can argue that software programming is also largely a production job because they produce custom software for clients! And computer is only a tool like other machines. Seeing so, I guess the job mix has not even changed much since the industry revolution!
But for fast changing situations, such view can be too shallow and harbor dangerous blind spots. Of course it always depends on the perspectives. If we care only about whether there will be more unemployment or the disappear of a whole job category then yes, Yale report and alike are helpful. If people however care about the two 2 millions call-center jobs in the Philippines or the difficulties in the job market for CS fresh graduates then such reports could create a dangerous complacency.
I saw a great shift in our data science job offers: we removed the old offers and now only search machine learning experts. We do not know if they would have any problem to work on. But we surely are looking for one.
I think there are 2 different ways to interpret the title. First, is AI itself replacing workers - article is referring to this case says no. 2nd case is what you are mentioning, the AI race has companies reducing hiring in non-AI areas in order to prioritize hiring for developing AI.
I know this is Yale and we should all assume they have the right methodology, but i think there are a few things wrong with this study.
1) they’re assuming that every company in the world is using AI aggressively.
Yes, ChatGpT is popular but there are still a LOT of companies that have not adopted AI in the enterprise.
If they wanted to analyze the impact of AI on the labor market, they need to analyze the mix of employees in companies that actually are actively implementing or aggressively using AI.
2) They did not mention how many people they sampled along the unemployed but if its something like 4% or so, the number of software engineers in that sampling is probably pitifully low (ie 10)
Definitely not enough to make a conclusion.
You don't get anything tangible from that noisy data. IT has been taking the brunt, and you only see labor market changes after they happen by a significant lag. Its premature to do this type of study and try to discount what people on the street who are being impacted are saying.
The level of uncertainty in the job market says otherwise. This is the worst tech job market in my entire 40 year career.
We’re coming off of nearly 20 years of growth, years of free money, and the COVID boom that caused massive over-hiring.
Then you add the millions and millions tech companies spent promoting coding as a career, and the organic attraction from high salaries that caused CS to became the most popular major at many schools, and pushed droves up people into coding bootcamps.
The free money stopped, and without that subsidy we probably have 50% more programmers than we really need.
I'll keep saying it everytime: don't call it "overhiring". This was intentional and layoffs are a feature, not a consequence. Moreover, look at the hiring numbers in earnings calls. These companies did not slow down hiring. They slowed down hiring in North America. THey clearly didn't "overhire", they want to cheap out on wages and use AI as the scapegoat to impress shareholders.
This is a naive explanation. Tech companies increased headcount by more than 2x since 2018. Was this intentional? Did they intentionally double the headcount? To what gain?
Why would they deliberately give up their profits by doubling headcount just to layoff around 10% in aggregate? They still have to pay the rest 90%… so they just did that so that the 10% could be laid off?
> Was this intentional? Did they intentionally double the headcount?
Yes
>To what gain?
- reporting explosive growth
- launching a lot of initiatives, of which more than half of are probably shelved c. 2025. Seriously, peek into any company and see all the odd products they were announcing back then.
- to gain more of a global foothold. If you want to operate in a new country, you'll need to hire a lot of staff to manage compliance, run offices, work with local companies, etc.
- to have a lot of bodies to throw at a problem should they need it. Since hiring was basically "free" is was convinent to have talent on hold just in case.
- to poach, be it from competitors or from potential future competition. There's been reports of skilled hires who'd proceed to be on standby for quite a while. But paid very well. That's not something you do normally.
>Why would they deliberately give up their profits by doubling headcount just to layoff around 10% in aggregate?
That's the oversimplification of S174. They weren't losing much revenue because those labor costs would be balanced out from the taxes they didn't have to pay. It just cancels out.
Layoffs started quick once that ended. Remeber, they don't see layoffs as a "bad thing" as a business. The stock even bumps up a tiny bit back on 2022/2023 over layoff news. Something about "being responsible" or some drek.
S174 will be back next year, but I think there's multiple other issues that mean the market won't quickly bounce back.
AI might not have much actual impact on software engineering, but AI (Actually Indians) has. Companies are using AI as a justification for layoffs, and then just replacing those roles with cheaper engineers employed by bodyshop companies.
the funny thing is all Indian IT service cos are 30% down from their highs and based on unofficial and official data have laid off a lot of people , again on fears from AI based automation
When nobody wants to return to office, why not? The work from home shift was always going to accelerate the global pay equilibrium, it will continue to do so.
You hire discount engineers when you want to move to a maintenance and value extraction stage, something widespread in the industry at the moment due to changes is startup incentives and interest rates making entrenched players feel more safe.
It's not about "global equilibrium", because that misses completely that hiring a very expensive westener still has positive roi, but only if you are attempting to innovate.
It’s a larger shift from growth to mature business stages. All the growth of past couple decades is now maintenance
Is the shift because there's nothing to innovate, or because of economic headwinds? That's the real question to ask.
Projects are being cancelled left and right and teams dissolved, so this tells me that the former point is shakey. Something tells me that we'll have a tiny boom sometime after the AI bubble pops and suddenly innovation is "free" again. Or because smaller startups can actually get funded without needed to throw AI somewhere in their pitch deck.
No need to innovate when you can instead spend your budget on lobbying to get laws past to allow you to rentseek.
Lots of people would be willing to take a paycut to WFH.
The interesting thing about AI to me is it's got a bit of a "meta" effect in that it's giving generic software engineering a boost by increasing productivity there. So you have direct application of AI replacing existing jobs, but then for everything AI can't do, the increase in productivity of regular software engineering is accelerating automation of those things through standard software.
For me, the second effect is more prominent: still maintaining / hiring the same staff but we are taking on qualitatively different things that we would not have accepted due to complexity or workload reasons now.
>it's giving generic software engineering a boost by increasing productivity there.
https://theconversation.com/does-ai-actually-boost-productiv...
Zero effects on jobs overall, i.e. for every person displaced by AI, another has been hired? Or zero effects on any individual person's job, i.e. not one single person has lost their job due to their boss wanting to replace them with AI?
The second would be easily disprovable by anecdotes and there's plenty of those to go around, so its more a net zero thing.
every person displaced was hired by someone in a lower CoL country.
Hmmm Figure 1 makes me more suspicious about this report. However they're measuring changes in occupational mix as a proxy for on what kind of jobs exist, their metric states that computers and the internet both had an impact that is less than their control line.
That seems to indicate they've got a bad metric, since I would expect both of those to have an impact higher than their control.
>And major companies conducting layoffs like IBM and Salesforce have held themselves up as examples of that narrative, though their employee culls may be more focused on outsourcing than automation.
Automation seems to be a better excuse than outsourcing
Headline could be more clear.
Title implies all things AI, when they were actually looking at GenAI. I know it's what everyone thinks of, but I hate how everything gets muddled.
I suspect AI is currently fashionable as a smokescreen to justify deep cost cutting (See MSFT example.)
(we've since changed the URL and the headline - see https://news.ycombinator.com/item?id=45444395)
Oh it's certainly effecting jobs. I know plenty of people who would be unemployed right now if not for the insane spending on AI across the board.
I think there's many reasons for the AI hype, but one of the basic ones is that it's the only way to keep the economy propped up. I doesn't matter if it's an illusion or not, it means money is flowing many directions (even if a shocking number of those flows are accounting tricks).
What we're watching is some mass hysteria like tulip mania. There are many, many people who benefit from this situation independent of whether or not its an illusion.
And maybe that bubble will pop and maybe it will soon, but when it does, most of us will wish it hadn't.
>And maybe that bubble will pop and maybe it will soon, but when it does, most of us will wish it hadn't.
It will, and it will be huge. It may in fact be the trigger of the next Great Depression. It's going to be ugly.
But maybe that's the pain the US needs. This situation was decades in the making and the US decided instead to blow up the debt to unmaintainable levels. There's very little rope left this time if we have even a recession withotu hyperinflation (let alone a depression). It will be bad, but I'm also beyond tired of everyone kicking the ticking pipe bomb down the road for the next generation to handle. The sooner it blows up, the better chance we have something left to clean up. Maybe we can bring some integrity back to the country.
The key phrase is "the broader labor market has not experienced a discernible disruption".
I am a small anecdote where developers who just use chatgpt/cursor are in higher positions than me who learned to code back in 2010. Use as in "chatgpt told me..." about whatever topic. Still they are accomplishing the task (getting code out there that works).
I also had a vibe coded prototype get handed to me to fix it
>Still they are accomplishing the task (getting code out there that works).
I suppose at this point there's no debate on if we can call outselves "engineers" anymore. I can't imagine a civil engineer saying "they are accomplishing their task (getting a bridge out there that works)",
While it's likely due to other factors (i.e. like maybe the stock indices have just completely de-coupled from reality or are just being helped by AI-hype?), the fact that US job openings seemingly de-coupled from S&P 500 in Nov/Dec 2022 when ChatGPT was publicly released (as a web app) is pretty interesting.
So much coincidentally happened in 2022 and I'd feel like I'm wearing tinfoil if I tried to connect them. Google/Apple changed how ads worked, S178 was deleted, we were at the tail end of a global pandemic that we're still feeling to this day, and of course ChatGPT started to take the world by storm. And those are just off the top of my head.
There was more also going on in that time-frame: several interest rate hikes, no fix for section 174 changes by the end of 2022. Maybe someone will pinpoint whatever had the largest impact in a detailed study.
I still think some sort of shift in trends. Maybe it could have been COVID totalitarianism ending and as such shifting trend in leadership to reduce investments. Lot of headcount decision might not be actual needs, but what in general looks good for stock market. And if there is no more growth expected from WFH, well less hiring and reducing labour force looks better.
No, it’s because $15T (80% of the money supply) was printed during COVID and while that money initially circulates through the system it eventually pools up into certain places like stocks and housing
ChatGpT was used by probably 0.01% of people back then. I highly doubt it would have a discernable impact back then. Even in 2023, it would be way too early. Early adopters were the main users, not the mainstream public
I know for a fact that companies have fired people and replaced them with AI. I’ve met with business owners and they told me.
> they told me
> I know for a fact
That's not what a fact is; if we took everything written on businesswire or what the business owners / salespeople told us at face value then we'd be in deep trouble.
One thing that is real is companies using LLMs to fill roles they couldn't afford to spend on before. Like the tourist who uses Google Translate on a trip to Japan: in principle they are saving 10k on the cost of a professional interpreter. On the other hand they never would have had the resources for a professional interpreter.
Good to know, but for me, the study is more convincing than your anecdote.
I think it's the fact that they say zero effect, which is obviously not true.
They didn’t say there’s literally zero effect, they said that there’s negligible disruption to job market from the introduction of AI.
Even a net zero effect would mean some people were replaced with AI and the same amount of people were hired to use AI
Be careful with "they". The "zero effect" in the headline was likely written by a Register editor, two steps removed from the authors of the study. I think the quote in the fourth paragraph is more telling:
> "Overall, our metrics indicate that the broader labor market has not experienced a discernible disruption since ChatGPT’s release 33 months ago, undercutting fears that AI automation is currently eroding the demand for cognitive labor across the economy," said Martha Gimbel, Molly Kinder, Joshua Kendall, and Maddie Lee in a report summary.
What roles were these people working?
Developer, replaced with cursor.
Do you have more information? As a cursor user I don’t see how you can replace a developer with that product.
I imagine these businesses probably don't fire ALL their Devs, instead they reduce team sizes
I’m sure that’s the case. I’m just curious about the devs that lost their jobs. I feel like if cursor can replace you then you must have already been on the chopping block. Or maybe the company’s development needs had declined.
One spot I really find this surprising is call center - but maybe majority of those folks are outside of the US or were reassigned
Call centers these days are staffed at the bare minimum as is, adding an AI bot in front of that doesn't really change that fact. At least for me, it's now a regular occurrence that I'll slot a quarter to half an hour of holding time when I need to call support. Local and small companies are better in this regard, there you can usually reach a human pretty quickly. Big international corporations however are a lost cause. Funny, given that they'd have the most funds available to keep their customers.
Automated call center predate the current AI hype cycle. Jobs were already lost.
As well as customers.
There's been many layoffs attributed to AI. That seems like an excellent cover for market conditions.
Job numbers? Pretty sure you could make the case that this claim isn't true, but the data might be too nebulous.
But it's definitely had an effect on jobs.
It's made so many underqualified people think they have a new superpower, and made so many people miserable with the implied belittling of their actual skills. It's really damaging work culture.
Of course studies like this are aimed at people who think jobs are interchangeable neutral little black boxes that can be scaled up and scaled down, and who don't like to think about what they involve.
> Overall, our metrics indicate that the broader labor market has not experienced a discernible disruption since ChatGPT’s release
Because metrics don't tell the story.
Ergodicity assumptions will do the rest.
Skill issue: just measure whatever you are worried about.
Not surprised. There’s some good applications but the hype bubble is on the verge of bursting. Many companies are boated and inefficient but it’s highly unlikely that “AI” is the fix.
Ironically the thing broken in most cases is poor quality management that let things get so bloated and messy in the first place… the same folks that are cluelessly boasting about the potential of AI in their company.
I’m not sure it’s even that. I think the entire tech industry is reaching a maturation stage. Where a majority of customers pain has been solved, opportunities for innovation are slim or negative ROI, and so maintaining the headcount of the growth stage is just unnecessary.
AI is a scapegoat.
Every year, large companies secretly rank employees and then yank the 10% or so they consider low performing. This is called rank and yank [1]. If your company has performance reviews and is ran by MBAs it almost certainly uses it.
[1] https://en.wikipedia.org/wiki/Vitality_curve
The most important aspect of rank and yank is that it has to be done in secrecy. Your company will not tell you it is using it. Even your manager might not know this.
When rank and yank is not done in secrecy, employees react to it by hiring the most mediocre people they can, sabotaging/isolating strong performers, hiring to fire, forming peer review/code review mafias, avoiding helping others as much as possible, etc. Anything they can do to not land in the bottom 10%. This cannibalizes the company and an example is what Ballmer did to Microsoft.
Any person with a ChatGPT account can now ask it to analyze the "game" of rank and yank from the perspective of game theory and realize how dumb the whole idea is. The rational strategy for the employee is to destroy the company from within. But MBAs love it because it involves a made up statistical distribution.
The only truth about rank and yank is that it's a stupid idea that has impacted the careers of millions of hard working people around the world, while also impacting many families and their future. It has converted thousands of companies into horrible places to work filled with workplace psychopaths at the top.
MBAs are people who believe in the work of the person that kickstarted the decline of American manufacturing, Jack Welch. Jack Welch extracted record profits from GE for 20 years, but left it a hollowed-out "pile of shit" according to his successor. The worse part is that MBAs aspire to be like him and in the process have ruined the whole manufacturing industry.
So to pull off a rank and yank every year you need a scapegoat, and this year the scapegoat is AI. In previous years it has been the economy, or some other excuse. AI will naturally become the scapegoat for everything.
Have you ever wondered why your company is laying off people while having job postings for the same positions? Does it happen every year? Does it happen after performance reviews? Is it always around 10% of the workforce? Oof... that's a tough guess, I wonder what it might be!
AI is the perfect scapegoat because the company can claim they're using AI and boost their value somehow. But if AI could reduce your headcount by so much then your company, your business model, your processes, your intellectual property, etc. have no intrinsic value anyways and the correct interpretation of the situation is that everyone should divest and make the share price go to zero.
I’ve never worked for a company that had regular layoffs. I’ve seen people fired for incompetence. I’ve seen layoffs because the market for the product shrank or disappeared. But never regular layoffs for no apparent reason. I don’t know that I’d work at a place like that.
Jack Welch probably did more damage to the United States than any other single person in history. Most bad executives just destroy their own company, but Welch used (GE-owned) CNBC as his propaganda arm to fawn over him and portray him as a business visionary so executives everywhere copied him.
His vitality curve idea resulted in the termination of over 100,000 at GE.
Over 100,000 people. That's only one company, and only during his tenure.
Now add up all the terminations at every company that adopted his corporate astrology bullshit. Millions of people and the number increases every year.
How many of those people went into financial hardship, homelessness or even worse? All because of 1 person.
To put things in perspective, you could fire every working person in all of New York City and you would have fired less people than the result of his destructive legacy.
Actual source: https://budgetlab.yale.edu/research/evaluating-impact-ai-lab...
Thanks - we've changed the URL to that from https://www.theregister.com/2025/10/01/ai_isnt_taking_people....
I'm not surprised, is saving tens of thousands (if not hundreds of thousands) of dollars per employee worth screwing up by betting on AI and losing millions? Notice that the headlines of companies wanting AI are wanting their employees to use AI to be more productive, and that's fine, but they still need their employees to be fully aware of the output so they're not just churning out slop.
FWIU software jobs hiring was/is down along with the cancelling of the R&D tax credit.
From "House restores immediate R&D deduction in new tax bill" (2024) https://news.ycombinator.com/item?id=39213002 .. https://news.ycombinator.com/context?id=38988189 :
>> "Since amortization took effect [ in 2022 thanks to a time-triggered portion of the Trump-era Tax Cuts and Jobs Act ("TCJA" 2017) ], the growth rate of R&D spending has slowed dramatically from 6.6 percent on average over the previous five years to less than one-half of 1 percent over the last 12 months," Estes said. "The [R&D] sector is down by more than 14,000 jobs"
> Hopefully R&D spending at an average of 6.6% will again translate to real growth
From "Generative AI as Seniority-Biased Technological Change" https://news.ycombinator.com/item?id=45275202 :
> Did tech reduce hiring after Section 174 R&D tax policy changes?
[...]
> From https://news.ycombinator.com/item?id=45131866 :
>> In 2017 Trump made businesses have to amortize these [R&D] expenses over 5 years instead of deducting them, starting in 2022 (it is common for an administration to write laws that will only have a negative effect after they're gone). This move wrecked the R&D tax credit. Many US businesses stopped claiming R&D tax credits entirely as a result. Others had surprise tax bills
> People just want the same R&D tax incentives back:
> "Tell HN: Help restore the tax deduction for software dev in the US (Section 174)" (2025 (2439 points)) https://news.ycombinator.com/item?id=44226145
It is suspected that hiring levels correlate with the cancelling of the R&D Tax credit.
The TCJA (2017 Trump) cancelled the R&D tax credit.
The OBBA (2025 Trump) restored the R&D tax credit for tax year 2025.
Well we had people being "let go" (how I hate this term...as if they were trying to flee but couldn't before) at our Call Center. Replaced by AI. The women were older. Didn't have long until retirement. Seems to be still worth it to kick them.
AI won't replace you. But a stupid manager who believes AI could replace you will replace you
AI has provided a great excuse for your manager to fire you and replace you with someone much cheaper.
That’s a killer use case I gusss, pun intended
I know first hand that this is not the case. At least in film/media.
- I've sold software to several mid-scale production firms. Folks that do everything from Netflix title sequence designs to pharmaceutical television ad spots. They're billing at less than a quarter of their previous rate and picking up more clients on account of AI. They're downsizing the folks that do not do VFX or editing.
- A neighbor of mine who is a filmmaker was laid off last week. If you've flown Delta, you've seen his in-flight videos. His former employer, who he has worked for for nearly a decade, is attracting clients that are hiring them for AI work. My neighbor was not attached to any of those efforts.
- Major ad firm WPP is laying people off. Some of this is the economic macro and decreased ad spend. Another of my neighbors works for them and they haven't had any major projects. She typically manages major F500 clients. They're not spending. Despite that, she says some of the inter-departmental woes are directly attributable to AI.
- I spoke with former members in SAG-AFTRA leadership (before Sean Astin came on board). They quit on account of AI. "The writing is on the wall", they said. Direct quote.
AI has been remarkably good at killing Art and Writing jobs for sure.
The data on the article applies to IT related jobs disappearing for any reason on the same period. The only thing specific to AI is the pick of time, and the conclusions seem very robust from moving it some months around either way.
One specific stupid manager will absolutely replace people, but the overall dynamic isn't any more broken than it used to be.
What, personally, I think it's very surprising.
It's not stupidity but corporate strategy. Up until a few years ago companies and executives used to get massive backlash for doing layoffs. Today they can say "we replaced workers with AI" and get rewarded with a stock price bump.
As a co-founder and dev at a bootstrapped company I’d say AI has and will slow developer hiring rate. We’re just more productive and on top of things more.
We’ve also reduced the hours we work per week. We care about getting things done not time behind a screen.
Sure AI can build cute POCs. Will it build scaled solutions, not this year. The amount of ignorance in this post is precisely why the industry is so rattled. Gen AI tools are great, they are not making people orders of magnitude more productive.
> Will it build scaled solutions, not this year.
That is not true IMHO.
If one is expecting Lovable to create a production app by just giving a few prompts, that obviously is not going to happen, not now and most probably for a long time.
However, if you use Claude Code or one of the proper IDEs, you can definitely guide it step by step and build production quality code, actually code that may even be better than most software engineers out there.
Moreover, these tools allow you to take your proficiency in software dev and specific languages/frameworks to other languages/frameworks without being an expert in them, and that I think is a huge win in itself.
I work in big tech as a senior engineer. I’m aware of what’s out there and none of it is solving problems in a way that’s replacing swathes of engineers anytime soon.
It may be an excuse to layoff but it’s not ramping up velocity in ways that PR is making it seem to non tech literate.
I never said anything about swathes of engineers, merely that it is possible to build production quality stuff.
From my experience, these are better suited at the moment for small teams and new projects. It’s unclear to me how they’ll work in large team/massive legacy code situations. Teams will have to experiment and come up with processes that work. IMHO anyway.
We’ve been in business 15 years. These aren’t POCs. Even at say 20% productivity boost I feel way ahead to give devs 9 day fortnights and soon hopefully 4 day weeks.
how is it both a bootstrapped company slow to hiring devs (due to AI) and also a company that's been in business 15 years? if you were going to hire devs to scale out, you would've done it 10 years ago?
Slowed the rate of hiring devs.
Normally as we add enterprise customers we have to dedicate more dev resource keeping them happy. But since Claude code and now codex we have not felt that feeling of not being on top of the work. Thus not feeling the need to hire more devs.
A stupid manager like Kaz Nejatian? https://x.com/CanadaKaz/status/1971622109614166342
> the world is objectively worse and families are worse off if we don't make an insane amount of progress every single week.
Holy shit does your average startup manager send emails like that?
Lol this is crazy.
I seem to remember the latest tools for software developers were pushed in the business organisation by the developers - and eventually the folk at the top relented and accepted it.
When the reverse is happening, alarm bells should ring.
But hey, Im not against these CEOs destroying the culture within the firm and making their employees hate their guts, resulting in negative productivity gains.
That's a parody account to promote the next season of silicon valley, right?
Well it's not exactly a parody. The next season of Silicon Valley not only continues the cheeky hijinks and ironic saves required to navigate tech-cap dysfunction, it is a reality show. Although some of the new core team characters are (openly) unfiltered chatbots.
Including a real-life LLM "resurrection" of the fictional Erlich Bachman, created as part of a successful espionage mission to steal a Chinese deep learning company's near impossible distillation technology. But despite its trove of valuable illicit information, it has been orphaned online, unable to find its mysterious SV-fan hacker creators. As a result, chatErlich is now desperately attempting to make contact with the original SV team actors, who it actually believes are their fictional counterparts.
That should still show up in this data though.
Nope, people using AI would.
But with AI being so easy to pick up, does that mean everyone replacing everyone ad nauseam?
This is why I try to not care too much.
Yes, I learn how to use AI for coding in case it doesn't advance much more. But if AI is really going to do what some people think, it doesn't matter if you learn to use it or not, whole swathes of jobs, including software developers, will be obsolete. If your business boils down to being a middle man for an LLM it's not long for this world.
What really matters is the rate of advancement.
And no, there won't be new jobs to replace them. This is less like industrialization, which created jobs before replacing old ones, and more like the automation that hollowed out whole communities and cities from the '70s to '00s. Services largely saved us from this, but I see no new sector to come and rescue us. And any re-orientation of the labor force to existing jobs will drive down those wages too.
...also the study is from august 2023.
No it's not, it's from Oct 1st.
And the data goes up to 33 months since ChatGPT's release, or in other words Nov 2022 + 33 months = August 2025.
> Overall, our metrics indicate that the broader labor market has not experienced a discernible disruption since ChatGPT’s release 33 months ago
Doesn’t seem to be that outdated
You can't make this claim from pushing numbers around in an excel spreadsheet.
>As previously noted, the metrics from OpenAI and Anthropic are imperfect proxies for AI risk and usage, while still being the best available.
Seems they're just coming out and admitting they refuse to measure it themselves. Not a good sign.
If it's the right numbers (called measurement data) and the right excel sheet pushing (called running a validated model) that is exactly the way you can make these claims. Overall it's called the scientific method.
What is your null-hypothesis and how does your data actually refute your null-hypothesis? And how is your sample representative?