[randomdata]

> factory workers for robots.

Except in this case it is like laying off the factory workers at the robot factory before the robots are built. Investing in AI still means investing in tech people to work on AI, but that's who just got laid off...

One might be inclined to think that it is a freeing up of dead weight accumulated during the COVID hiring spree, but we also know of industry-recognized people deemed very talented, who should be prime candidates for AI investment, that were let go, so...

[ohthatsnotright]

You'd think for all the lip-service given to how employees are their most valuable resource they would at least consider re-training. Some developers (myself included) have zero interest in LLM-hype train and would gladly take a severance package, but others would certainly want to up-skill and they already know the culture and company. Seems much cheaper than fire/hire.

[floor2]

Eh, the "tech people" who've been laid off range everything from graphic designers to project managers to marketing, sales, HR etc, almost none of whom have any skill overlap with the engineers, mathematicians and scientists building AI.

There are a small number of CS-degree holding software engineers or statistical expert data scientists who can pivot into AI with a fairly direct application of their existing education and experience, but the vast majority of people who were laid off from "tech companies" do not have that background.

[ReflectedImage]

It would be cheaper to just send them all on a month long training course than re-hiring.