I'm wondering how common this is right now ?
This is the same thing. Any layoffs happening today don't really have anything to do with AI. The company just needs to do layoffs, and saying "we have layoffs because of AI" sounds better than "we have layoffs because revenues are worse than we expected".
The only place where "intelligence" is in the AI is in its name. These are mathematical or logical models which resemble a behaviour of an intelligent being and if you throw ML into the mix, the AI models can actually learn on their own. But they are not creative. They can do amazing things but they have no comprehension of WHY they do these things or have (usually) no notion of truthfulness. They just repeat what they were learnt on or extrapolate from it (often wrongly because there is no critical thinking and fact-checking in contemporary models).
I see a lot of tell-tale signs of another bubble which is going to burst in a couple of years like it did in the 1980s.
Nothing to worry about. If someone's job security is endangered, they can either switch employer or do something else.
But if you can claim experience with these frameworks, enjoy the ride. Companies are going to pay you whatever you ask.
I think if you can replace employees with ChatGPT you probably didn't need them to begin with. They weren't doing valuable work anyway.
I have no data to support this, but I have seen plenty of LinkedIn headlines switch to "Prompt engineer:
https://www.linkedin.com/search/results/people/?keywords=pro...
Or is the idea that businesses already automated stuff and the management is so incompetent that IBM has to send around a pamphlet to remind them to layoff the people now sitting on their hands?
I work for a company that has around 50 technical employees and I'd say use of LLMs is putting pressure on the company against hiring more employess rather than actually laying people off.
My armchair estimate is LLMs make the employees ~5% more efficient "on average" (not everyone is using it or using it effectively), which is 15-30 minutes more efficient per day. That would mean you'd start thinking about laying off 5 people if you're a company with 100 technical employees. If you're a smaller company, it would be premature to lay off employees based solely off of the impact of LLMs.
That IBM interview was highly speculative, and was arguably as much a smoke screen for layoffs they wanted to do anyway as it was a prediction of their future AI plans. No one at IBM has been layed off due to AI yet either, they simply "expect" they can do it in years to come, which may well be true.
I don't think this is common yet anywhere serious, as realistically you aren't going to be replacing an IC with an LLM yet, despite the hype, with very few exceptions.
Arvind Krishna is as much trying to associate IBM with the current AI investor craze as he is making a sensible statement about the future of work in that interview, and it should be seen as the investor marketing it is. IBM have done this in the past too - remember the Watson AI ads with Bob Dylan? Now no one remembers the Watson brand.
Planning to reduce headcount by 7800 people because you have awesome AI technology coming down the pipeline sounds a lot better to some investors ears than firing 7800 people because company isn't performing well, and investors are often rewarding AI news handsomely in the stock market recently.
I can't even remember the last time I saw Arvind or senior IBM staff being interviewed in the mainstream media at all before he uttered the word AI.
ChatGPT has only been out for about six months. Even if there are big layoffs coming, going from released technology, to implementation in a customer domain, to being comfortable laying off significant staff in that time-frame seems extremely aggressive. I would guess layoffs in that time frame would actually be fore other reasons, though "AI" could possibly been used to obscure the true reasons.
However, unemployment will never happen, if you know humans. There is going to be a lot of outrage, and regulators will regulate it like drugs!
But it sounds like your company is not interested in training. And would rather hire from outside first. So fire now and Hire AI enhanced staff next.
I have an aversion to such companies. But the other kinds of companies are not firing staff because of AI. Instead They are increasing staff workload, a fallout of lots of staff finding better jobs.
The tool has somehow become less impressive over time.