Episode

The Hidden Causes of AI Workslop—and How to Fix Them

Podcast
HBR IdeaCast
Published
Mar 10, 2026
Duration seconds
1730
Processing state
not_requested
Canonical source
https://hbr.org/podcast/2026/03/the-hidden-causes-of-ai-workslop-and-how-to-fix-them
Audio
https://audio.hbr.org/ideacast/20260309110130-1069_TheHiddenCausesofAIWorkslopandHowtoFixThem.mp3
JSON
/v1/public/podcasts/hbr-ideacast-650643/episodes/the-hidden-causes-of-ai-workslop-and-how-to-fix-them
Markdown
/podcast/hbr-ideacast-650643/the-hidden-causes-of-ai-workslop-and-how-to-fix-them.md

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Summary

As organizations and their employees ramp up their generative AI experimentation, leaders are facing a new problem: the rise of AI-generated "workslop," which seems okay on the surface but doesn't actually pass muster and, when passed on to colleagues, ultimately hurts team efficiency, performance, trust and morale. Kate Niederhoffer, chief scientist at BetterUp, and Jeff Hancock, professor of communication at Stanford, say that while it's tempting to blame individuals for this kind of misuse of ChatGPT and other tools, management is more often that not contributing to the workslop epidemic by putting pressure on employees to produce more and to use AI when possible without offering clear training or guidelines. Niederhoffer and Hancock offer advice on how to stem the tide of workslop. They are coauthors of the HBR articles "AI-Generated “Workslop” Is Destroying Productivity" and "Why People Create AI “Workslop”—and How to Stop It."