Tech Industry job layoffs looking scary

JT-Money

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The Tech Recruitment Ruse That Has Avoided Trump’s Crackdown on Immigration​

 

JT-Money

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Tech’s talent gap widens: new grad hiring plummets, Texas loses startup talent, and Anthropic's 80% retention dominance.


Everyone took a hit in 2023, but while hiring bounced back in 2024 for mid- and senior-level roles, the cut keeps getting deeper for new grads:

  • Big Tech: New grads now account for just 7% of hires, with new hires down 25% from 2023 and over 50% from pre-pandemic levels in 2019.
  • Startups: New grads make up under 6% of hires, with new hires down 11% from 2023 and over 30% from pre-pandemic levels in 2019.

682bc20c877ad04a13853b13_FGenZsqueezeEntrylevelhiringdown50fromprepandemiclevels.webp


‎As budgets tighten and AI capabilities increase, companies are reducing their investment in new grad opportunities. The latest data from the Federal Reserve Bank of New York shows that the unemployment rate for new college grads has risen 30% since bottoming out in September 2022, versus about 18% for all workers. The perception gap isn’t helping—55% of employers say Gen Z struggles with teamwork, and 37% of managers said they’d rather use AI than hire a Gen Z employee.

:picard:
 

DJSmooth

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This is silly, but I'll post a couple of previous badges. Will not post current academic or corporate.

Old Amazon corporate (built really cool shyt)
i96dvKd.jpeg


Old Google FTE (built cool shyt, tech led cool shyt)
90zMUsr.jpeg


Old Google corporate card
0eBZ1Na.jpeg


From research days
nTwyqSZ.jpeg


We spoke about MIT earlier. My Ex (fairly recent breakup) did undergrad and grad there. :francis:

And more that I won't discuss.

All of this is meaningless. No one cares. Again, my boy has an 8th grade education, better than me and the ex. :yeshrug:

Also mentioned pointers, ASIC programming, and a bunch of other stuff.

Again, I see why you got stuck at some shyt state school and in some shyt role. Also see why you're addicted to doom and gloom predictions and nonsense.

:hubie: he did mention pointers
 

IIVI

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:hubie: he did mention pointers
I’m waiting see how he did research at Stanford during “research days” without graduating high school back in 2017.

You need to be a PhD student to do that I thought.

Pointers are also shyt you learn in your very first Computer Science course because most schools start with C++. Literally my first ever Computer Science class had a lengthy section on memory and pointers. It’s basics.

During a SWE interview they’ll most likely grill you about Space and Time Complexity on a Leetcode question not whether you know what a pointer is because that’ll naturally be explained when discussing an algorithm or solution’s performance.
 
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Serious

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You're either laid off or worrying about getting laid off. Not sure how anyone can be secure in their position right now. Offshoring + AI means it's not really about performance, every company is in cost savings mode right now. You could be great at your job and it might not mean shyt



Another side effect of tech having so few blacks. Sometimes you just can't relate to your coworkers or if your team is heavily dominated by a particular foreign nationality they will form their own cliques making you feel isolated. Also your communication level can become a perception issue. She may be talking "enough" but going unnoticed for the reasons I said above. I've worked in environments where I said something, everyone shook their heads then someone white would literally say the same thing 10-15 min later and it would spur a whole conversation. It becomes demoralizing after a while and you just share less knowing mofos overlooking you regardless what you say/do

Definitely had this happen a couple times, less so lately, since I’m the go-to guy on the team for anything cloud related.

A couple months back,I had flagged a secondary feed from one of our vendors was looking lighter than usual. I know there’ve been some changes with accounts and vendors recently, but I called it out months ago. They only just started digging into it a few weeks back.

It wasn’t really on most people’s radar. But as the data engineer, I see everything coming and going.I’ve got all kinds of anomaly alerts set up. Tbf, we actually had a similar issue with our main vendor around the same time, and I was able to catch it, escalate, and get it resolved before the reporting period, so I get how priorities and confusion may have occurred.

I’ve stepped up my efforts, largely out of fear of being laid off. I feel fairly safe, that my position can’t be easily offshored, as well as there’s a large moat around what I do.
 

Serious

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It’s wild how they want to fire humans but want humans to buy their products. My job is doing the most on making us push AI solutions hwfg

The problem is, most tech solutions aren’t inherently stable.

The “move fast and break things” approach works fine for discovery, figuring out how something works is relatively easy. But stabilizing a process is a whole different challenge. When I stabilize a workflow, I have to account for everything that could go wrong and put preventative measures in place. That’s a lot harder than just exploring functionality.

A lot of AI prompts fall short here,they don’t account for stability or edge cases. Which just leads to the classic: garbage in, garbage out. Thus jeopardizes the field as a whole.

From what I’m seeing there’s a whole lot of bad best practices out there. There’s no way we automatically course correct, without a major reset first. Idk what the catalyst will be.

But I don’t doubt another crowd strike incident being on the horizon.
 

null

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Curious on your thoughts regarding this situation:



what part of it? people are going to make money for nothing during the hype phase.

and i agree with the video in that it could go either way.

it's the talking heads that are annoying. and the near term effects of the hype bubble.

i am learning that US-IT is often less about advancement of tech for progress and more about riding moon shots and hype to "secure the bag".

the UK is even more wed to privileged non-tech gringos controlling and benefitting from large scale capital investment.

more generally it is wasn't AI it would be something else.



:hubie:
 

greenvale

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The problem is, most tech solutions aren’t inherently stable.

The “move fast and break things” approach works fine for discovery, figuring out how something works is relatively easy. But stabilizing a process is a whole different challenge. When I stabilize a workflow, I have to account for everything that could go wrong and put preventative measures in place. That’s a lot harder than just exploring functionality.

A lot of AI prompts fall short here,they don’t account for stability or edge cases. Which just leads to the classic: garbage in, garbage out. Thus jeopardizes the field as a whole.

From what I’m seeing there’s a whole lot of bad best practices out there. There’s no way we automatically course correct, without a major reset first. Idk what the catalyst will be.

But I don’t doubt another crowd strike incident being on the horizon.
Facts. AI shyt is terrible with security, and it's getting reinforced with a lot of AI slop
 

IIVI

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It’s wild how they want to fire humans but want humans to buy their products. My job is doing the most on making us push AI solutions hwfg
This is true. Economically we’re in a very dangerous place.

The job market has low liquidity right now:
Despite some sudden layoffs, not many people are losing jobs (not like 2023 at least) but not many people are getting hired either.

When we get that spike in layoffs though, unemployment will spike because of slow hiring.

Then less people with jobs -> less money to buy -> less money made by other companies -> more layoffs, etc. until we reach a state of balance.

This is honestly what happens when you get a lot of money and dump a lot of it into R&D projects that went nowhere. It’s a domino effect that hits other industries.
 
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JT-Money

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:mjlol:



“What I’m seeing internally is a new rise of business people who are coding themselves,” he said, adding that the challenge many engineers have these days is that they are not business savvy. “I think that category of people will become even more valuable going forward,” Siemiatkowski continued, especially as they can use AI and put their business understanding to good use.

He himself is using ChatGPT to help him learn to code and help him understand more of the data side of Klarna. He said doing this has helped Klarna become a better company. Before, he thought he would never catch up in learning what was needed to take a more present role in database conversations at the company.
 
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