The Hidden Causes of AI Workslop—and How to Fix Them
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Turn breakthrough ideas into real results at the virtual HBR Innovation Summit this November with top CEOs and masterclasses on AI and growth. Register by September 30th and save 25%. Learn more at hbr.org slash innovation summit. I'm Alison Beard. And I'm Ada Ignatius, and this is the HBR Ideacast.
Artificial intelligence promised to make us faster, smarter, and more productive. at work. So why does it sometimes feel like it's doing the opposite? If you're trying to figure out how to use AI without undermining your culture, collaboration, or credibility, this episode is for you. Today we'll explore why AI Sorry, stop, stop, stop, stop.
Alison, did you even write this? Good catch, Adi. No, our producer, Mary and I decided to give it to ChatGPT, and that's not because we were busy with other stuff that we were, but it was to try to prove the point of today's episode, that the rise of AI has also meant the rise of what our guests call AI work slop, and that is bad product that kind of passes, but actually creates a lot more problems than it solves. So I know who you're talking about and your guests have written a couple of articles for us on AI WorkSlop. They've been among the most popular things we've published in the past year.
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