Posted on 01/31/2023 9:10:15 PM PST by Cronos
what is the true reason for these mass cuts that have left tens of thousands (80% of them in the US) out of work? This was what data experts at 365 Data Science attempted to get to the bottom of when they decided to run their own analysis of the figures.
...the median time a recently laid-off employee has been in their role is roughly two years. This could suggest that, in some ways, these cuts represent a winding-back of hiring policies put in place since the pandemic.
More surprising though, was the fact that the median level of experience held by those who were let go is 11.5 years.
...the roles and job functions most affected were within HR, which accounted for 28 percent of all layoffs. There are two possible reasons for this – firstly, it follows that if companies are laying off staff, they will also be cutting back on recruitment, and less recruitment means less need for HR staff.
A second, though perhaps just as relevant reason, however, is that HR is an area where some functions are being replaced by automation. Platforms already exist that aim to automate routine tasks related to interviewing and onboarding new hires, such as checking references, verifying identities, and carrying out health and safety assessments. In recent years, it’s even been reported that companies such as Amazon have used AI to identify low-performing staff and then fire them.
...So, is it the case that the tech giants simply expanded too far, too quickly? Or is it that innovations in AI and automation have created a situation where the fastest way to save money is to replace people with machines? In truth, it’s likely to be a little of both.
(Excerpt) Read more at forbes.com ...
Replace people with machines and especially those that have been there the longest who are getting paid more.
Eventually we will do universal basic income.
One main reason : THEY OVERHIRED after the Covid lockdowns
“....the roles and job functions most affected were within HR, which accounted for 28 percent of all layoffs”
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Can we hope these were the D.I.E. employees? Or did they fire the long-time HR employees who knew their job duties only to leave the D.I.E. employees in place to make sure that the tech companies continue to suppress any conservative content?
The day of the woke HR StormKarens has come and gone. The author is dancing around the fact that the tech industry is done playing games.
The Real Reasons For Big Tech Layoffs At Google, Microsoft, Meta, And AmazonTrump.
Auto workers used to say before millions were laid off: So after I’m broke and can’t afford a car for my family and neither can the workers in the , stores and restaurants where I used to spend money just get the robots and the computers to buy them and drive them.
Oddly, self-driving cars are part of the dirty plan in the 2020s.
ChatGpt, as it imprives, will lessen the need for programmers and engineers. If I can just tell AI what I need and it do it, why do I need a programmer or an engineer to fix things?
Without a doubt. Corporate America has hired a bunch of these clowns and they are a drain on the company. They dont do diddly squat and have no skills.
ChatGpt, as it improves, will lessen the need for programmers and engineers. If I can just tell AI what I need and it do it, why do I need a programmer or an engineer to fix things?
28% released were HR? That is insane, being the HR depts exceed 28% to begin with. I’ve worked for large (100k+), small (<100) and medium sized (1000ish) sized companies for 40 years now and never heard of HR dept being more than 1-3% of the company. This is nuts if true. 28%. The only way that can be true is if their HR is stuffed with never/under-achieving do nothings to prove some feel good philosophy that has nothing to do with the actual business mission.
I blame the cost of The Rings Of Power.
And the ten percent for the Big Guy
Now that WE know that those companies have been highly paid (by our government) to perform all the extreme censorship they colluded with our government to execute, perhaps they see that income stream going away...
Hence, layoffs.
HR is non-revenue overhead. Plenty of companies outsource HR duties.
That’s more or less the goal. Try reading ‘Digital Human’ By Skinner. It’s a quick easy read. Skinner is a WEF advisor. Think Star Trek (example he uses) for what the goal of all this technology is for.
I started writing a much longer, detailed reply, but instead here is the Readers' Digest version.
AI will be very good at existing repetitive tasks, and expanding on existing techniques. However it cannot generate a new design to address a new requirement.
You don't get a programmer or engineer to "fix" something -- you get a technician, and perhaps some day you can get an AI to replace the technician.
But to design something, you will always need a programmer or engineer. Take my word for that (programmer and engineer since 1970 and still at it). And the need for new designs is always increasing.
I agree with you that we still need programmers and engineers, and even technicians, for now.
However, I question that principle in the long run. Right now, a machine capacity to program is just sophisticated enough to choose between two objects, I am speaking conceptionally when I say that.
Some day, however, machines may become sophisticated enough to choose between three objects. If that should happen, suddenly machines will be able to self-program itself twice as often and it can now do twice the work it used to. That’s a lot of engineers, programmers and technicians that will no longer be needed.
Big Tech has shown itself to bevan industry that will not show its cards until it is too late.
This has been going on since the Industrial Revolution began, eh?
. . . and especially those that have been there the longest who are getting paid more.
But accelerated when decision-making logical chips were coupled with arithmetic and/or precision-measuring instrumentation. Are not people grouped by more tine-in-grade experience expected to be more universal and faster in tasks?
Unions rested on postulated seniority-related superiority, not on statistics-related individual meritocracy. Eventually, a very great failure in presuppositions, and suicidal in no-holds-barred competition.
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