It's brutal, my son with a CS degree hasn't been able to get to single live interview ina year. A couple of screens has been it. I've reached out to my network, and the reply is always we're not hiring any juniors.
I don’t understand this logic. If I’m being honest, the most productive people with AI on my team are the two youngest. They don’t have product wisdom, yes, but the gap is so noticeable that I pushed my manager to forego the full-time work experience requirement that we have always had so that new hires don’t even know the old way of working and can just reframe the field in terms of AI.
AI is the biggest threat in over a generation to seniors who aren’t investing in keeping up. Managers without an instinct for AI are endangered species as well.
Right now my company seems to be only hiring people they already know or have worked with before. Every single hire in the last 4 months I've seen get on-boarded has been back-channeled. I've had 4 direct referrals and none of them have gotten in but all made it to the final round just to be surpassed by someone the hiring manager already knew and liked from their previous teams. Even with a strong referral it's hard!
We hired one junior out of maybe 10 hires. I don’t really know where to slot them in currently, as they lack the background knowledge of what is good or bad from AI. It’s a shame because years ago, I would have hired them and pointed them at a million small projects. Best of luck to your son. I wish I had advice
The article assumes that jobs that can be automated are vulnerable. But in the postmortem of the AI driven layoffs so far, it's more that expectations about AI and productivity are driving the job cuts.
In other words shareholders and senior management are being shown the appearance of expectations about AI being met, whether or not it's working. Entry-level jobs are an obvious place to look things that can be cut to create an AI budget.
All of these executives are operating under the pretense that they won’t be held accountable when in 10-15yr their middle bench is a disaster, and they’re probably right.
Yep if a hiring manager wants to open a req for a junior, before AI he'd get praise for being tight with budget and hiring someone cheap and trainable.
Now he gets asked: if a junior can do the work why aren't you using AI? So instead of opening the req he says to the team "we need to figure out how to make AI do more."
> Entry-level jobs are an obvious place to look things that can be cut to create an AI budget.
Kitchen potwasher, day labourer, apprentice welder etc none of these entry level jobs are affected by an LLM. But nobody on HN works in those industries.... connection maybe?
but the entry-level job market has always been tough.
with AI, outside the big tech world, it is hard to justify hiring entry level engineers as the time to train them ( 1 year+ ) to be productive enough is such a drag on the seniors, when the agents deliver things more care and more edge cases.
From personal experience, back in the 2010s it was particularly harsh for those with a non-standard background. What few "opportunities" that existed were a handful of unpaid or grossly underpaid internships which were closed off to those who weren't students or recent graduates. Everybody wanted employees who were ready to start pumping out code with little or no training.
That's not to diminish how much more difficult it's become since then but breaking into the industry has never been easy.
I feel like I never see anyone else say this. That was about when I got my career started and it was always difficult for me. And now it seems over despite all that work in the begining.
I've been telling people the same thing. The tech industry has been cargo-culting "scaling the organization" where people are rewarded for org size. That zeitgeist has ended, and we've not even overcorrected much the other way.
Partly this is because the big companies are diverting vast amounts of money towards building data centers, instead of hiring new grads. I expect young people who learn AI skills will be fine, once the data center spending binge is over.
What does "learning AI skills" even mean? You're typing into a prompt box. You are not applying any skill, the model is. At best, the skill you need is discernment about _what_ to type in this magical box. But if that gets cheaper and the output of your company doesn't necessarily scale horizontally that well. Why would I need as many people as before?
i remember seeing the stats presented on moonshots podcast about 3 months ago. they said every quarter, the percentage of CS fresh grads decreased their placement roughly 10% or so and it was down to about 19% at last count and entry level salaries down from 96K to 61k, if i recall.
To the surprise of who, exactly? Sometimes it feels like HN has never used an AI model past ChatGPT in 2022. Modern AI is so capable nowadays that it _does_ obviate most of the work you'd normally give an entry level person.
Im mostly speaking about software engineering, but the "juniors" I've seen be hired now are basically the equivalent of mid (maybe even low senior) levels of yesteryear. AI is most certainly raising the bar.
I built a digital internship for this very reason, to help the pre-entry level interns get work experience. Given ai has mostly replaced their admin work load.
https://news.ycombinator.com/item?id=48914589
You have market theory saying that at some point, you will not have enough seniors because no juniors were trained. So seniors will become more and more expensive due to lack of supply. At some point, it will be cheaper to take the risk and train the junior entry person again, and things will stabilize out. The sad part is that there will be a generation of 10 years or so of lost juniors while seniors are abundant.
I would plan based on the lost jobs not coming back. I would also plan that the trend of AI getting better and taking more jobs will continue. Plan for the worst, hope for the best.
A lot of people may have to transition to careers that people do not want to have AI do, like nursing. The earlier you start such a transition the easier it is because you still have resources to make moves.
What kind of study could predict the future like this? Every technological change is different each time, I think.
For example - at first ATMs created more jobs in banking because employees could move to more complex services. But banks are back to downsizing after further advancements streamlined those services too, aiui.
Those jobs aren’t coming back as-is, because AI isn’t going anywhere. Job markets change over time.
I’ve just started transitioning my career closer to management, so I develop/manage roughly 50/50. At this point, if I had to manage a tight budget, I’d rather have an entry level salary as tokens for a senior engineer.
We’ll need a way, as a society, to help new adults transitions from education to productive employee. But individual companies don’t have aligned incentives.
Blacksmiths, wheelwrights, and wainwrights transitioned to auto mechanic or carpentry work. Not all of them, but for most the skills were portable. Several of the carriage-making businesses transitioned to automobiles. Studebaker and Oakland (which became Pontiac), for example. I'm sure the most experienced people lost big, of course, and we shouldn't minimize the damage done to people's livlihoods.
Unless you mean taxicab drivers, which was the term for them before the automobile. Taxicab = taximeter cabriolet, and a cabriolet is a style of horse-drawn carriage.
It really was the horse people that lost out the most. That's why the idiomatic reference is for buggy whips, not so much for buggies themselves.
My really big worry is that the people making these choices just do not care about a single thing beyond this single generation
Not a psychologist but my take on most of the wealthy people in the world is they are essentially narcissistic hedonists. They only care about growing wealth as a means to the end of maximizing the amount of fun they can have and to keep their egos happy that they have the most.
You’re probably not wrong. I’ve gone from being essentially destitute as a child to what people would call “well-off” and having the context of both experiences is…eye opening.
I have moneyed acquaintances now that I never would have had before. For some of them the mere hint of their income being reduced in any way is enough to send them into spasms. These are people with enough money for their next 3 generations to live off of. Luxuriously.
It's brutal, my son with a CS degree hasn't been able to get to single live interview ina year. A couple of screens has been it. I've reached out to my network, and the reply is always we're not hiring any juniors.
I don’t understand this logic. If I’m being honest, the most productive people with AI on my team are the two youngest. They don’t have product wisdom, yes, but the gap is so noticeable that I pushed my manager to forego the full-time work experience requirement that we have always had so that new hires don’t even know the old way of working and can just reframe the field in terms of AI.
AI is the biggest threat in over a generation to seniors who aren’t investing in keeping up. Managers without an instinct for AI are endangered species as well.
Right now my company seems to be only hiring people they already know or have worked with before. Every single hire in the last 4 months I've seen get on-boarded has been back-channeled. I've had 4 direct referrals and none of them have gotten in but all made it to the final round just to be surpassed by someone the hiring manager already knew and liked from their previous teams. Even with a strong referral it's hard!
We hired one junior out of maybe 10 hires. I don’t really know where to slot them in currently, as they lack the background knowledge of what is good or bad from AI. It’s a shame because years ago, I would have hired them and pointed them at a million small projects. Best of luck to your son. I wish I had advice
The article assumes that jobs that can be automated are vulnerable. But in the postmortem of the AI driven layoffs so far, it's more that expectations about AI and productivity are driving the job cuts.
In other words shareholders and senior management are being shown the appearance of expectations about AI being met, whether or not it's working. Entry-level jobs are an obvious place to look things that can be cut to create an AI budget.
Mortgaging the future to pay for the present.
All of these executives are operating under the pretense that they won’t be held accountable when in 10-15yr their middle bench is a disaster, and they’re probably right.
Yep if a hiring manager wants to open a req for a junior, before AI he'd get praise for being tight with budget and hiring someone cheap and trainable.
Now he gets asked: if a junior can do the work why aren't you using AI? So instead of opening the req he says to the team "we need to figure out how to make AI do more."
> Entry-level jobs are an obvious place to look things that can be cut to create an AI budget.
Kitchen potwasher, day labourer, apprentice welder etc none of these entry level jobs are affected by an LLM. But nobody on HN works in those industries.... connection maybe?
It's not what the article or study are about. Theyre about entry level white collar jobs.
I think "junior software engineer" is more like the entry level job that people on HN care about
this is a super non-popular take on HN.
but the entry-level job market has always been tough.
with AI, outside the big tech world, it is hard to justify hiring entry level engineers as the time to train them ( 1 year+ ) to be productive enough is such a drag on the seniors, when the agents deliver things more care and more edge cases.
From personal experience, back in the 2010s it was particularly harsh for those with a non-standard background. What few "opportunities" that existed were a handful of unpaid or grossly underpaid internships which were closed off to those who weren't students or recent graduates. Everybody wanted employees who were ready to start pumping out code with little or no training.
That's not to diminish how much more difficult it's become since then but breaking into the industry has never been easy.
I feel like I never see anyone else say this. That was about when I got my career started and it was always difficult for me. And now it seems over despite all that work in the begining.
I've been telling people the same thing. The tech industry has been cargo-culting "scaling the organization" where people are rewarded for org size. That zeitgeist has ended, and we've not even overcorrected much the other way.
The implosion in junior quality exacerbates this.
The cohort that started during COVID were first knee-capped by remote classes and exams, and then they lobotomized themselves with ChatGPT.
Partly this is because the big companies are diverting vast amounts of money towards building data centers, instead of hiring new grads. I expect young people who learn AI skills will be fine, once the data center spending binge is over.
What does "learning AI skills" even mean? You're typing into a prompt box. You are not applying any skill, the model is. At best, the skill you need is discernment about _what_ to type in this magical box. But if that gets cheaper and the output of your company doesn't necessarily scale horizontally that well. Why would I need as many people as before?
they really dont need to divert. They are sitting on historical unfathomable amounts of money.
When do we declare this status-quo? It was expected for several years, and new data is just piling up with the same conclusions from the last study.
i remember seeing the stats presented on moonshots podcast about 3 months ago. they said every quarter, the percentage of CS fresh grads decreased their placement roughly 10% or so and it was down to about 19% at last count and entry level salaries down from 96K to 61k, if i recall.
AI VENDOR HYPE
To the surprise of who, exactly? Sometimes it feels like HN has never used an AI model past ChatGPT in 2022. Modern AI is so capable nowadays that it _does_ obviate most of the work you'd normally give an entry level person.
Im mostly speaking about software engineering, but the "juniors" I've seen be hired now are basically the equivalent of mid (maybe even low senior) levels of yesteryear. AI is most certainly raising the bar.
I built a digital internship for this very reason, to help the pre-entry level interns get work experience. Given ai has mostly replaced their admin work load. https://news.ycombinator.com/item?id=48914589
Soft people learn that the world is harsh and you either adapt or die.
Direct link: https://digitaleconomy.stanford.edu/publication/canaries-in-...
I wish there were studies on when this situation will normalize. Will the lost jobs ever come back? Or not?
You have market theory saying that at some point, you will not have enough seniors because no juniors were trained. So seniors will become more and more expensive due to lack of supply. At some point, it will be cheaper to take the risk and train the junior entry person again, and things will stabilize out. The sad part is that there will be a generation of 10 years or so of lost juniors while seniors are abundant.
I would plan based on the lost jobs not coming back. I would also plan that the trend of AI getting better and taking more jobs will continue. Plan for the worst, hope for the best.
A lot of people may have to transition to careers that people do not want to have AI do, like nursing. The earlier you start such a transition the easier it is because you still have resources to make moves.
What kind of study could predict the future like this? Every technological change is different each time, I think.
For example - at first ATMs created more jobs in banking because employees could move to more complex services. But banks are back to downsizing after further advancements streamlined those services too, aiui.
Ask the people that worked on printing presses
Those jobs aren’t coming back as-is, because AI isn’t going anywhere. Job markets change over time.
I’ve just started transitioning my career closer to management, so I develop/manage roughly 50/50. At this point, if I had to manage a tight budget, I’d rather have an entry level salary as tokens for a senior engineer.
We’ll need a way, as a society, to help new adults transitions from education to productive employee. But individual companies don’t have aligned incentives.
Masters degrees are a way for people to spend longer in the education-costs-more-than-the-value-to-the-educator phase of their career.
> But individual companies don’t have aligned incentives.
Be realistic. Would you start a business and risk it's viability giving away free training to the public? No, and neither would anyone else.
are you incharge of making those decisions at work?
maybe govt can tax ai companies and use that money to prearm juniors with tokens that only they can use.
Did horse and cart operators ever get their jobs back?
I mean... yes.
Blacksmiths, wheelwrights, and wainwrights transitioned to auto mechanic or carpentry work. Not all of them, but for most the skills were portable. Several of the carriage-making businesses transitioned to automobiles. Studebaker and Oakland (which became Pontiac), for example. I'm sure the most experienced people lost big, of course, and we shouldn't minimize the damage done to people's livlihoods.
Unless you mean taxicab drivers, which was the term for them before the automobile. Taxicab = taximeter cabriolet, and a cabriolet is a style of horse-drawn carriage.
It really was the horse people that lost out the most. That's why the idiomatic reference is for buggy whips, not so much for buggies themselves.
This is unironically the best comparison.
maybe they became taxi drivers. But that too will be gone soon.
Can't beat capitalism + technological innovation.
So we have a crunch of expiring/retiring workers on the senior end and a cutoff of the flow of new talent from the junior end.
They’d better pray that we see automation gains above and beyond what we’ve seen so far or else we’ll be paying the price in a single generation.
My really big worry is that the people making these choices just do not care about a single thing beyond this single generation
Not a psychologist but my take on most of the wealthy people in the world is they are essentially narcissistic hedonists. They only care about growing wealth as a means to the end of maximizing the amount of fun they can have and to keep their egos happy that they have the most.
They don't seem to care about the future at all
You’re probably not wrong. I’ve gone from being essentially destitute as a child to what people would call “well-off” and having the context of both experiences is…eye opening.
I have moneyed acquaintances now that I never would have had before. For some of them the mere hint of their income being reduced in any way is enough to send them into spasms. These are people with enough money for their next 3 generations to live off of. Luxuriously.
I just don’t get it.
No, not AI. AI isn't hitting entry level jobs hardest. People and Businesses are by having "AI substituting for labor".
If we do not pursue the common good of humanity with AI, we will destroy humanity with AI.