> Like you, we have seen numerous reports that more and more firms are capping their total headcount in favor of leaning on more AI tools, leading to downsizing their intern and new-graduate hiring. This is resulting in increased sidelining of new college graduates. But we think this misreads the moment completely, so we’re heading in the opposite direction.
> While we are excited about what AI tools can help do, we have a different philosophy about their role. AI tools make great team members even better, and allow firms to set more ambitious goals. They are not replacements for new hires — but ways to multiply how new hires can contribute to a team.
A lot of people here and in the industry in general seem to optimise for compensation package and put blinkers on themselves for other factors that are definitely relevant.
Companies aren't penalised by candidates for such practices. I'm not saying it's good but it's astounding to me the number of people who for example optimise entirely for salary and then are shocked when the working conditions are very poor.
People game companies and companies will game people in return. Murray Gell Man amnesia will kick in and next week there will be thread about how CloudFlare is a great place to work for software devs because you can earn 20% more than other comparable companies with no reference to how things like job security or working conditions are measured.
You now know which companies do this.
Every company laying off now has to wear a Scarlett Letter: "we're a layoffs company".
Either they will answer directly with something solid like "We're growing the team" or they will evade it which is still a meaningful answer for you. You could probe further with questions like:
"How has the team's headcount changed over the last 18-24 months?"
Basically you're alluding to 'employee turnover' without saying it.
That's not how that works... Please stop being delusional
LLM models have better reasoning abilities than these folks....
If that's the rule in your organization, and you have a core group of people that actually know the systems and get the work done, you better make sure you have 10% padding every year, lest you layoff someone important and their friends all quit in disgust. And since competence and institutional knowledge is built over time, that implies a revolving door of new folks coming in and most of it not making it.
You lay off 1100 who are late in their career for younger people who will work more hours for less.
You're building the future with new fresh people instead of the "dead weight"
Yet management always seems to miss the institutional knowledge, and experience, that also walks out the door laying off those 1,100 people 'late in their career'...
It's not possible to cram 25 years of experience into two.
If they actually miss it they can call it back to work for triple the going rate.
They usually don't though. Those left behind have to figure it out again with whatever new tools they have at their disposal, thus continuing the great circle of corporate life.
Or corporate death if they don't figure it out in time and it is actually important. But even then, the management won't miss anything.
https://techtrenches.dev/p/the-west-forgot-how-to-make-thing...
(Has some AI tells though, probably AI-assisted?)
Anyway in general, corporations are sticky. They save resources through scale and collaboration. Famously this is a problem for free market true believers because if you believe that the market is the most efficient mean of organizing people then you would expect firms to operate internally as free markets (or disappear). There is a whole body of work about it,
https://en.wikipedia.org/wiki/Theory_of_the_firm
In practice you can't just become your own boss and compete against firms.
A lot of market forces tend to "naturally" create monopolies/oligopolies. For eg if you're the biggest steel plant you can operate efficiently and keep moderate margins, beating any plants not as big (economies of scale). An independent guy (or even the entire team) can't just open a new steel plant shop down the road, even if the current one sucks.
To be a bit honest, I'm a computational scientist who's never seen anything near 100K and likely never will. It's hard to imagine not having around 4 times my salary and not being able to start something myself.
I think your premise is significantly correct; things like launch HN (and even YC startups) are heavily software biased. I suspect you'll find about a hundred product hunt products for every physical kickstarter/indiegogo.
Even if you are good at those, for many companies, it's more about connections than about the ability to build stuff. So if you don't know the right people, it is very difficult to get a foothold.
Given I'm now in my mid-50s, things are looking grim. And I'm not getting paid SV silly money. I'm not even getting paid US dollers.
The biggest but not only example: https://en.wikipedia.org/wiki/Tom_Mueller (yes, lots of subcontractors involved, however, Nasa paid, with a bonus percentage provided by the US military)
Note that Mueller gives the payment situation at TRW, and the fact that he "wasn't appreciated" as a direct reason to go to SpaceX.
What did you think happened? Does anyone actually believe Musk did the technical design for that engine, just because he claims so? Or I should say he constantly claims it, staying slightly away from direct claims to avoid getting caught in lies (well ... getting caught AGAIN).
These people and bots have no idea what they are talking about. They’re parrots.
That’s great in theory, it rarely works in reality. Those people almost universally find new work quickly because they’re good, or retire because they can.
In both instances the idea of going back to bail out a company that just screwed you, operating with a giant target on your back when the inevitable next layoff occurs, isn’t worth it for 10x the salary. Ignoring the fact a business of any significant size isn’t approving paying someone to come back for 3x, they’ll just caN the manager for the fallout.
Hired as a code monkey, fired as a code monkey.
This is contextual on a number of factors. It seems difficult to establish in the general case.
Give the new people 6 months to benefit from all that institutional knowledge.
LLMs are a great tool, but more often than not it does show if the person using them knows what they're doing or not pretty clearly. Especially if it's anything larger than a trivial small change.
The problem is that "I copied the issue on claude code and then committed the code it produced" is not actually taking ownership.
> noone appreciates the years spent "googling and looking at stackoverflow" anymore, and frankly, they shouldn't be.
Well, I do, and I hard disagree with you there. If the human does not understand what the machine is producing, then I need a different human.
Having said that, and feeling more with you than the other guy, there is nothing for you to "disagree" with.
Mediocre was always buggy and broken in some ways, but for all intents and purposes it was good enough. Today somebody with a year of study can reasonably deploy something - for which the appearance of taking ownership and shipping a full stack of features has reached the bar of good enough.
Consider 10 years ago: Did you believe it was more likely that in the quality-distribution-of-software that we would, over time, create proportionally more quality? I dont think so and AI didn't meaningfully change the trend.
It changed the work dynamics, and still is changing, and with our inability to communicate is going to be an annoying mess.
Dont let the annoyances blind you to what LLMs can do for your point in space, or to where most of the points lie for the rest of the world.
I think we should care that our engineers have put the effort to understand the code they are responsible to produce. I don't care specifically about how they get that knowledge (I am using AI to learn myself, for example). But I disagree with the implicit assumption on the statement, which is, in my view, "humans don't need to understand the code any more" (because some fresh out of university might think they understand, but they really don't).
I can't work with that sort of surprise. I'm tuned to consistency, and I can work with consistently bad, but not with "95% absolutely amazing, 5% abysmal".
And I say this as someone who develops exclusively with LLMs now.
I am using Claude Code with Opus 4.5 and I have to correct it every day. It produces working code but it makes mistakes. The code is more verbose than it should be, misunderstands/ignores edge cases, etc. Daily.
And I am not a stellar world-class programmer. I am pretty average. I just read what it produces.
> The Age Discrimination in Employment Act (ADEA) forbids age discrimination against people who are age 40 or older.
To answer your question: Probably not. Even so, it is incredibly hard to prove workers 40 and older were laid off as a result of age discrimination.The only way for this to happen is by leaked private conversations, I think.
I sense a paradox.
https://en.wikipedia.org/wiki/Insider%E2%80%93outsider_theor...
But high economic performance this isn't. Adaptability of market to ever-changing world that certainly isn't neither. Europe is getting hammered by this and things will get much, much worse in upcoming years. We will have to revisit our comfy lazy attitude towards work, or end up being a stagnant place with 3rd world salaries and corresponding QoL.
Switzerland is doing things much better, its sort of in between both extremes and economy is reflecting this very well. But EU leaders egos will sooner accept poverty than that somebody figured out things better than them.
What I hear is that Switzerland is a bad example. Many people there struggle to make a living.
The poverty rate in Switzerland has increased (source:https://www.bfs.admin.ch/bfs/en/home/statistics/economic-soc...) but is defined as:
The poverty line is derived from the guidelines of the Conference for Social Welfare (SKOS). In 2024, it was on average CHF 2388 per month for a single person and CHF 4159 for two adults with two children.
I live in Zurich (by far the most expensive city) and while 2388 (or 4159) would be tight (depending on housing) it would still afford you a fairly comfortable life with access to top quality healthcare and public transport. Life quality wise one could argue that poverty in CH is a better option than a middle income in a lot of European countries.
"In 2024, the total income tax paid by all publicly listed European internet companies combined was approximately €3.2 billion. This total, which includes firms like SAP, Adyen, Spotify, and Zalando, was notably lower than the €3.8 billion in fines the EU collected from US tech giants in the same year"
If the "future" being built is one that those same interns would be dropped as "dead weight" as soon as they settle into families and refuse to be exploited with overwork, then it's a bad future, even if it's one with more CDN features.
Although, instead, it will be a more enshittified one anyway: they're cheapening your company and the product and lose organizational and operational knowledge in the process.
But the truth would likely be closer to that those fired would be a mix of mostly extra people hired plus some older employees. But instead of "we hired extra X less than a year ago, we shed X now", it's rebranded as "we reduce our workforce thanks to AI" to get possitive press and appeal to the less bright small-time investors.
That's the point.
> Cloudflare aims to hire as many as 1,111 interns over the course of 2026. […] That’s why this significantly increased class of interns will have a special focus: to ramp up the creative and widespread application of AI with a fresh approach.
vs.
> The way we work at Cloudflare has fundamentally changed. We don’t just build and sell AI tools and platforms. We are our own most demanding customer. Cloudflare’s usage of AI has increased by more than 600% in the last three months alone. Employees across the company from engineering to HR to finance to marketing run thousands of AI agent sessions each day to get their work done. That means we have to be intentional in how we architect our company for the agentic AI era in order to supercharge the value we deliver to our customers and to honor our mission to help build a better Internet for everyone, everywhere.
lol
Serious note you dont really hire interns. They are a contractor (and hopefully apprentice who is looked after) really.
(it also sends clear message to the clients: you will have to suffer through the cheapest to run AI agent in case of troubles, because yes, we care the most about Wall Street guy's income, not anyone else's, we save money on everything else anytime, even when we don't have to)
Need to propagate a lot of dollars fast, 24/7 as a moat on it remaining a reserve currency.
99% of these software startups are basic software that can be handled by a single dev; see Reddit apps and such.
But that money printer was running hot and heavy. Needed to funnel it somewhere. Why not that favorite political cudgel of the elites; pointless busy work jobs! Let's invest in a bunch of shops nearby for them to lunch at too!
Have you not been reading the headlines about urban offices empty? Low taxes to create foot traffic for other businesses?
The trickle down of the ZIRP era was about spreading all the dollars they could print as quickly as possible to maintain dominance of the dollar.
SaaS apps are meaningless to future generations. We were never creating pyramids of Egypt like wonders. We were missionaries for contemporary American propaganda.
This sounds like specious reasoning, similar to the tired old interview question "how would you design Twitter".
Twitter is just a table in a RDBMS, isn't it right? Any fool implements that in an afternoon.
Except it isn't, and the actual complexity of real world software often lies in festures you are completely oblivious.
Sounds like specious reasoning similar to the tired trope of "someone is wrong on the internet and I must correct them".
Twitter is in the 1% not the "99% of these..." but don't let reading comprehension get in the way.
I was a phonics kid not a 3-cuing student. Reading scores have nose dived since phonics was phased out. So I understand it's not entirely your fault.
If you don't hire them, someone else can hire them. Out of 1,000 you hire, one could be an "attention all you need" research paper writer, who could set up the next stage of innovation which you'll completely miss if you do not get anyone.
Initially, you’ve got to starve out the market of talent to stop competition from growing by nipping the threat in the bud.
Future can pay for all of this if you succeed.
I have worked with people of this caliber. The company did nothing to retain them, and the company did not retain them.
Every time. Without fail.
Luckily for him it worked out very very nicely.
But it's pretty clear with the money printer switched off the real motivation was the propagation dollars fast and wide.
The rest of the world has rebuilt after Biden and Trump's and their parents generations bombed it to glass.
Those countries modernizing create an existential threat to the dollar as a reserve currency; fuck Americans! says a generation that grew up in a shit hole Americans left behind.
While polite publicly as expected a whole lot of the 8 billion outside the US do not give a shit the US exists and has power over them.
Anyway, new employee at Cloudflare, just finished onboarding. Suddenly a short meeting is scheduled with two people she had never met before. She is told she is let go for "performance" reasons. She kind of tears into them with "what performance issues, I only got great reviews" just to hear the HR people squirm and backpedal, well because, they know they are lying. But of course, they're trained enough to never admit it and say "they'll get back to her on that". Needless to say, it has the same effect as a suspect being arrested arguing with the cops. But it did make Cloudflare "famous" on tiktok for a bit.
I saw the video you’re referring to and it’s completely unsurprising they clam up further when she became confrontational. You’re not gonna talk your way out of a termination unless you have some pretty hard evidence it was for something illegal.
That’s just what getting fired looks like and people don’t often get to see the process so cloudflare “became famous”.
It's obviously hard when people's lives are upended, but no one complains when companies do a lot of hiring because the risk is lower.
I mean, look at them it’s a poor struggling company barely making ends meet /s
> The number of our intern goal, a nod to our 1.1.1.1 public DNS resolver, is intentional.
But like the sibling comment says, "over 1,100" does not reference any of their resolver IPs anyways. In all likelihood, they hired fewer than the maximum of 1,111 interns and they are probably chopping slightly more than that here (max vs min).
Hiring and firing based on things like this should be a huge red flag.
I’m surprised they didn’t lay off 1001.
I realize those were interns, so maybe the expectation is they’re temporary from the start, but picking these numbers for marketing instead of need is silly.
This text has one asterisk on each side
*This one has two on each side*
There was one in 2020, granted it was the shortest on record.
I think the reality is different.
In this thread I saw the resume of an engineer affected by this Cloudflare layoff. In the resume he claimed that adopting opencode in his workflow, he shipped an integration in half the time it took peers without AI assistance for similar projects.
Productivity should be measured over time and take into account the cost of maintenance, reliability, amount of issues, etc.
Most (if not all) major enterprises in the US have gone through at least one round of org-wide subscription renewals (eg: Atlassian product packs, Microsoft product packs, etc) where 1) price increases were mandatory, 2) AI features could not be opted out of, and 3) AI feature usage was strongly encouraged from C-suite to client-facing biz staff to telephone agent support staff.
I repeat, we are passed the point where AI bills and non-AI bills can be differentiated. We are all paying for these features driven by tokens whether we like it or not, whether the cost-benefit analysis makes sense, and whether they are even being used.
And we are all passing the costs onto everyone lower on the totem pole, from insurance groups to bank groups to national grocery chains to consultant conglomerates to minimum wage front-line staff to below-minimum-wage gig workers.
And this is why there are layoffs, every price increase from the top down causes further price increases to cascade down.