Those Who Forget the Dotcom Crash Are Doomed to Repeat It — with GenAI

A friend recently recommended Craig McCaskill’s article “The Bubble That Knows It’s a Bubble” with a disclaimer “it’s quite a read”. After forgetting it and coming back to it later I can say: it’s so worth reading it!

I admit that I thought it was some “AI hate” article, but in fact it isn’t. Craig shows how and why bubbles grow (starting in 1840 with the British Railway Bubble!) and how they burst.

It’s not the first article I read in that regard, but the topic that Craig’s post makes unique is that he goes a step beyond the burst. And this is what I found interesting! Even if a bubble burst in the past, something valuable remained. Be it the physical railroads after 1847 or the fibre optics cables, data centers including the computer hardware after the DotCom in 2004. And in the case of AI, the models won’t vanish.

Yet the one paragraph is rather … depressing:

[…] we could see the first bubble that eliminates more employment during its rise than its fall.

followed by

The AI bubble might give us unprecedented productivity and fewer jobs. That’s a social equation we haven’t solved.

Just today I read the article in t3n, referencing Zoom’s CEO agrees with Bill Gates, Jensen Huang, and Jamie Dimon: A 3-day workweek is coming soon thanks to AI. Well that sounds awesome, but — really? These large companies did not become big through charity.

If everyone is gaining the efficiencies, it’s not an advantage anymore and you have to cut costs … I don’t see a 3-day workweek, I see 40% layoffs.

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Comments

2 responses to “Those Who Forget the Dotcom Crash Are Doomed to Repeat It — with GenAI”

  1. growagardendiscord​ Avatar

    Interesting read! It’s sobering to think about the potential job losses AI could bring. The idea of a 3-day workweek feels more like a ploy to cut costs rather than a genuine benefit for workers.

    1. Franz Avatar
      Franz

      Exactly – but at the same: I don’t think it’s thought through to layoff. Or at least not in a long term vision:
      It’s just a short term effect now. When everyone has gained the efficiency, everyone will need to bring better features faster and in the end will have to hire again …

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