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AI Workslop Is A Human Problem

There’s a new workplace jargon floating around: AI workslop. Coined by Stanford researchers, it captures a growing frustration with AI-generated content that looks polished at first glance but falls apart upon second look.

In this episode of In The Loop, I unpack what “ AI workslop” really means, its cost to organizations, and most importantly, question whether it's a tooling issue or a human problem.

We’ll explore how the so-called “efficiency trap” is lowering quality standards at work, how overconfidence in AI training can backfire, and why domain expertise matters more than ever. Plus…

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