‘It almost doubled our workload’: AI is supposed to make jobs easier. These workers disagree::A new crop of artificial intelligence tools carries the promise of streamlining tasks, improving efficiency and boosting productivity in the workplace. But that hasn’t been Neil Clarke’s experience so far.

  • RagingNerdoholic@lemmy.ca
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    11 months ago

    Well, would you look at that, it’s playing out exactly the same as every other technological advancement ever. Instead of using it to reduce employee workloads and maintain an equilibrium of output, it exploits them by brute-forcing increased productivity with no changes to compensation and the capitalists hoard even more of the profits for themselves.

    • money_loo@1337lemmy.com
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      11 months ago

      I mean, did you read the article?

      The context of that quote was about people using AI to write shitty stories and then submit them for review by humans. They weren’t complaining about AI that was supposed to help them at work, being used to hurt them at work…

      In fact, the entire rest of the article is just one long anecdotal story from a single Union leader for a very specific (though broadly represented) trade group.

      There’s almost nothing of substance here and I’m shocked your comment Is so highly upvoted.

    • Peanut@sopuli.xyz
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      11 months ago

      Exactly what I keep saying when people start blaming the tools being used for automation. Productivity is up and up and up, but none of that has been given back to the workers in the past fifty years. If I try to find dialogue on that issue, I run into a mountain of blatant propaganda defending the continued robbery of the middle and lower classes.

      • RagingNerdoholic@lemmy.ca
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        11 months ago

        Temporarily embarrassed millionaires will lick the boots of capitalism in the naive hope of pulling themselves up by the straps

    • _finger_@lemmy.world
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      11 months ago

      Also the amount of work that it puts on IT, implementing new tech and not providing/approving the training (which only goes so far)