Business Big Tech Layoffs Megathread - Techbros... we got too cocky...

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Since my previous thread kinda-sorta turned into a soft megathread, and the tech layoffs will continue until morale improves, I think it's better to group them all together.

For those who want a QRD:


Just this week we've had these going on:

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But it's not just Big Tech, the vidya industry is also cleaning house bigly:

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All in all, rough seas ahead for the techbros.
 
AI is a cover to remove useless DEI hires. Of course, none of these companies can say they're cutting the fat and sacking the dead-weight niggers, faggots and trannies. Instead, they say the job can be done by AI.

Like @FedPostalService says, if you're replaced by AI, you were useless anyway and we all know DEI hires are as much use as Steven Hawking in a high jump competition.
Yeah, I don’t know about that. The heccin’ c-suites are absolutely in love with AI at the moment because they think they can say “generate this report just the way I like it” and then they can get rid of their analysts. They absolutely are banking on cutting down on analysts, engineers, and programmers because they think AI can do it instead. I’ve heard it enough times to know that this is what they’re hoping to do. They’re hoping AI will do to analysts and engineers the way Microsoft Office and Outlook did to secretary pools.
 
Yeah, I don’t know about that. The heccin’ c-suites are absolutely in love with AI at the moment because they think they can say “generate this report just the way I like it” and then they can get rid of their analysts. They absolutely are banking on cutting down on analysts, engineers, and programmers because they think AI can do it instead. I’ve heard it enough times to know that this is what they’re hoping to do. They’re hoping AI will do to analysts and engineers the way Microsoft Office and Outlook did to secretary pools.
With a lot of things, this is gonna go through a cycle:
Company tries new fad
Company gets initial good use cases
Company goes butt-fuck insane trying to exploit fad to it's maximum limit
Company realises that most of these new use cases are drastically worse than proven solution after losing millions
Company mostly walks things back, leaving new fad as either niche use case or embarrassing mistake they don't talk about
Rinse and Repeat.
 
AI is a cover to remove useless DEI hires. Of course, none of these companies can say they're cutting the fat and sacking the dead-weight niggers, faggots and trannies. Instead, they say the job can be done by AI.

Like @FedPostalService says, if you're replaced by AI, you were useless anyway and we all know DEI hires are as much use as Steven Hawking in a high jump competition.
Ehhhhhhhhhhhh, not really. When they say their job was replaced by AI they mean there jobs was replaced by AI (Actually Indians).
 
Yeah, I don’t know about that. The heccin’ c-suites are absolutely in love with AI at the moment because they think they can say “generate this report just the way I like it” and then they can get rid of their analysts. They absolutely are banking on cutting down on analysts, engineers, and programmers because they think AI can do it instead. I’ve heard it enough times to know that this is what they’re hoping to do. They’re hoping AI will do to analysts and engineers the way Microsoft Office and Outlook did to secretary pools.
I don't doubt any of them, but I'll bet the first on the chopping block are those who are genuinely useless and cause hassle in the work place.
 
"My husband was laid off from Microsoft by an algorithm [EMDASH] after 25 years, his last day is his birthday"
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I feel like the whole "dude AI is only replacing bad workers" argument falls flat when you realize there's still the fucking jeets everywhere.
AI is only replacing the non-jeet workers because now Rasheed is the boss. Those fuckwits really got in on the perfect storm, huh.
 
With a lot of things, this is gonna go through a cycle:
Company tries new fad
Company gets initial good use cases
Company goes butt-fuck insane trying to exploit fad to it's maximum limit
Company realises that most of these new use cases are drastically worse than proven solution after losing millions
Company mostly walks things back, leaving new fad as either niche use case or embarrassing mistake they don't talk about
Rinse and Repeat.
Definitely. Letting go of their technical people in favor of AI will absolutely blow up in their face. When it unravels, it will unravel quickly because it takes months to get a new hire fully onboard and years to where they know the company’s systems well enough to be worth a shit. There aren’t enough competent consultants around to jump in to unfuck the situation. But the heccin’ c-suites can book profits now on cutting their labor force to the bone with AI so that’s all that matters.

Edit: to put a fine point on it, I was asked a little while ago to evaluate a product that used AI for legal questions. I would supposedly be able to upload a byzantine, incomprehensible 1,488-page contract into this AI program and it would give me the perfect legal answers to any qualitative or quantitative question I’d ask of it. There’s a lot of excitement for this program because we’ve been having trouble retaining lawyers due to not being competitive with salaries and we’re tired of paying $1,000 an hour for a white shoe law firm. Now they think that we could stand to lose a few more lawyers!
 
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Actual good IT guys and programmers are worth as much as gold (in Europe). So they won't actually fire people who do the actual work and I am also of the opinion that the people who do get fired by AI have fake jobs. If you get fired by an AI or a program, you must realise how worthless you were. Sadly, a lot of the new European IT people have horrible work ethic and so many companies rely on retired aged white guys to maintain their company software.

In my opinion any new business software and AI is 98% shit and scams. The only times I have seen new ERP/CRM... software being succesfully implemented was when it was mostly oldtech and heavily modified by the company itself. Each company has different needs and wants but a lot of the modern software is too generalized and "smooth". When the software takes it first actual steps, it immediately gets trampled by practicality and reality. The most common progression for new software is the following:
1. Young software company tries to sell their software
2. Somehow convinces the owners/c-suites
3. Workers are half convinced, they know that the company software is old and needs modernisation
4. Shit ton of meetings
5. A department will be chosen to be sacrificed
6. Initially it makes progress but then it hits major roadblocks (software is not finetuned to the company)
7. Initial fever is over
8. Stalling (here is where most software implemention projects get canned)
9. Somehow finish it
10. The department gets worse, sees no difference or improves barely
11. Repeat cycle

A lot of software related inefficiencies in production companies can be eased or removed by simply diagnosing and fixing the bugs and errors in the company software. One of the biggest causes of business software inefficiencies are complaceny and habits. People would just keep using the same buggy functions without fixing it because it works and why bother chancing it. Most paper pushers never try to put in effort to make their work routine more efficient. I knew a woman who typed in a code, then proceded to hit enter, followed it up by reopening the input box and then repeating that process for 100's of different production codes. She never questioned how this progress could be more efficient.

If the owner of the software is young, run for the hills. Additionally, software sellers are the equivalent of chink salesmen, they will lie until it gets noticed and then "fix" the product (=software).
 
Yeah, I don’t know about that. The heccin’ c-suites are absolutely in love with AI at the moment because they think they can say “generate this report just the way I like it” and then they can get rid of their analysts. They absolutely are banking on cutting down on analysts, engineers, and programmers because they think AI can do it instead. I’ve heard it enough times to know that this is what they’re hoping to do. They’re hoping AI will do to analysts and engineers the way Microsoft Office and Outlook did to secretary pools.
The thing is AI can’t. It’s shit. It can’t even accurately reconcile payments well.

It’s good at doing busy work and drafting things, but you still need a human to give it a check so it doesn’t make shit up and get you sued.

Whilst Chat GPT will beat me at chess we can’t rely it it to communicate with clients or process complex work flows on its own.

I’m actively trying to get rid of a bunch of people. If I could replace at least one of them with automation I would but it’s not even at the position to get rid of the lazy guy who spends most of his day agitating and trying to recruit for his union.
 
it’s not even at the position to get rid of the lazy guy who spends most of his day agitating and trying to recruit for his union.
According to that study where they let an AI loose on r/changemyview, it might actually do better than that guy at union recruiting...all the more reason not to use it I suppose.
 
This has been making the rounds lately.

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There's already a thread about the story on here.

Dude wrote a pretty lenghty article on his Substack page.

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It then got posted on HN, and you can imagine what he had to say about them, lol.

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Dude is practically a lolcow at this point, he was given numerous advice but failed to act upon it. :story:

His Youtoob channel:

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And one of his LinkedIn posts:

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...Yea you're not making yourself look any better, bro. Could we be in front of the new Terry? :story:
 
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If this guy is doing Doordash rather than a possible thousand other types of office jobs, even just using it to get a foot in the door of a company then he’s a retard or doing it for likes and retweets.
 
Definitely. Letting go of their technical people in favor of AI will absolutely blow up in their face. When it unravels, it will unravel quickly because it takes months to get a new hire fully onboard and years to where they know the company’s systems well enough to be worth a shit. There aren’t enough competent consultants around to jump in to unfuck the situation. But the heccin’ c-suites can book profits now on cutting their labor force to the bone with AI so that’s all that matters.
It's already happening to some degree. Minor powerlevel, but my previous job had the c-suite go all in on AI: no back-filling for those laid off or jumping ship (because AI can make up the difference), forcing the dev team into using AI for all tasks (because it's proven by all the hype), and setting the goal of ~80% AI code generation within three months. The only reason it hasn't blown up in their face yet is the talented engineers are either in the process of switching jobs or actively searching - they're in serious trouble come autumn just due to lack of staff and missing key technical people for critical projects.

For the startup world especially it's going to take a few rounds of major failures and bankruptcies before investors stop pushing the AI meme during series A/B/C discussions and start getting critical about strategic direction.
 
It's already happening to some degree. Minor powerlevel, but my previous job had the c-suite go all in on AI: no back-filling for those laid off or jumping ship (because AI can make up the difference), forcing the dev team into using AI for all tasks (because it's proven by all the hype), and setting the goal of ~80% AI code generation within three months. The only reason it hasn't blown up in their face yet is the talented engineers are either in the process of switching jobs or actively searching - they're in serious trouble come autumn just due to lack of staff and missing key technical people for critical projects.

For the startup world especially it's going to take a few rounds of major failures and bankruptcies before investors stop pushing the AI meme during series A/B/C discussions and start getting critical about strategic direction.
My prediction is the AI projects will all fail and they'll just outsource to Bangalore without telling anyone and just hell people it's slow Ai that does the needful.
 
Could we be in front of the new Terry?
No. Terry had technical prowess, working on operating systems and compilers at Ticketmaster in the 90s through TempleOS until his untimely death. This guy writes generic corporate landing pages.
 
135,000 H1B visas were approved this year. There's over 4 Million H1B visa holders in total. This doesn't include the STEM-OPT visa where companies can hire foreign new graduates for 2 years and in that time pay 0 payroll tax (instant 15% savings).
Every American fired is an indian hired. It's not AI.
 
No. Terry had technical prowess, working on operating systems and compilers at Ticketmaster in the 90s through TempleOS until his untimely death. This guy writes generic corporate landing pages.
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He was given some decent advice on the HN thread, but his CV looks like crap.
 
If this guy is doing Doordash rather than a possible thousand other types of office jobs, even just using it to get a foot in the door of a company then he’s a retard or doing it for likes and retweets.
Yeah, he's a retard. If he's that desperate for a steady income, temp agencies are always hiring, and so are big box stores like Walmart, Home Depot, Costco, Lowe's, etc. Even if it's just seasonal or temporary, it's continued employment.

He's probably turned his nose up at a dozen junior & mid-level position offers in that mess of "800+ turn-downs."
 
When this turns around, it's going to be hilarious, and the Indians are going to be despised. It is a win-win. I fucking despise Indians, even in tech they are fucking inept.
In 10 years Indians have turned all White Canadians who aren't White collar boomers (who have been isolated in their upper management and C-suite roles) into rabid racists who hate all Jeets.
 
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