Over on youtube, @nate.b.jones on the channel "AI News and Strategy Daily" about the recent wave of firings at Amazon. Nate used to work there, I suspect in mid-level management from his presentation and dress, and was among those fired.
He has some interesting views on what this state of affairs has to say about the financial stability of AI financially in general, which I think points up the fact that when we speak of AI, we are often talking about technologies that are vaguely similar but applied in vastly different
The tl;DR is, Amazon didn't fire these 20,000 people because they've fully automated their operations at any level; they were fired because Amazon is actually in the weeds with AI, having rested on their AWS laurels while Microsoft Azure and Google Cloud have surged to the forefront delivering AI Services to the corporate workplace. Consequently, Amazon is now in a position where they must cede the space, or make massive investments in AI compute (read nVIDIA GPUs), that they simply could not afford without reducing fixed expenses (salaries, in this case).
He has a very interesting take on the whole thing. It's worth a watch.
https://www.youtube.com/watch?v=NP-qmffUNHQ
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