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I commented on wasteful AI spending, and my father immediately started talking about how he "went through that a couple of times" as a manager at an oil company.

The unusual thing is perhaps how global and cross industry it seems.

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> Sometimes they work out sometimes they don't

Genuinely asking: for which fads was it actually beneficial to jump in during the hype phase? Was there ever anything so critical that there was some huge disadvantage if you didn't adopt it right away?

ETA: I suppose the complicating factor, at least for B2B, is "customers demanding $fad", particularly when the purchasing decision makers don't actually understand what $fad is (e.g., "cloud", "blockchain", "ai", ...). If you don't become "$fad native" right away, you lose the Dunning-Kruger segment of the market.

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That's what throws me off about the AI hype. I've lived through plenty of other hype cycles, but none had such rapid adoption as this during the hype phase. Usually its a bunch of early adopters and a few doomed startups, with the big established (non tech) companies never fully jumping in, and then by the time they might have considered it, the fad died.

Even "cloud" which did stick around and actually did pan out, didn't see such immediate adoption during the hype. There were a lot of companies that stayed on-prem for a long time, many which still are, and none of them imploded for not jumping on the hype.

Why is the FOMO so strong with AI this time around? I don't ever recall being told "spend as much money on AWS as you possibly can!" during the cloud hype...

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Usually, someone extracts genuine value at the expense of everything else IMO. And the enshittification continues apace.
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