US EditionAI-generated ‘workslop’ is here. It’s killing teamwork and causing a multimillion dollar productivity problem, researchers say
Research shows 40% of employees encounter AI-generated low-quality work, costing nearly two hours of rework per incident and reducing collaboration, experts say.
- Recently, the Harvard Business Review coined the term 'workslop' for low-quality AI-generated workplace outputs, and researchers from BetterUp Labs and Stanford link it to costly productivity losses inside organizations.
- Amid uneven strategy, organizations' unclear mandates and a learning gap drive low-quality AI use, said Madhur Aggarwal, 'Finance leaders are clearly recognizing the potential of AI, but the journey from exploration to scaled deployment is complex'.
- Surveyed workers report 40% of 1,150 U.S.-based full-time employees received workslop in the past month, with each incident costing nearly two hours and $186 monthly per person.
- Recipients of workslop say senders seem less creative and reliable, while a Harvard Business Review experiment found a 9% competence penalty and freelance workers are hired to clean up sloppy AI outputs.
- Despite rapid adoption, studies find AI use at work roughly doubled since 2023 and fully AI-driven processes nearly doubled last year, yet many firms report little ROI, while Penn Wharton Budget Model projects 1.5% productivity gains by 2035 if sector shifts are managed.
24 Articles
24 Articles
AI ‘workslop’ has arrived and is already costing companies millions, research indicates
SAN FRANCISCO (KRON) -- It's happened to many of us by now. Maybe it's a work email, or a research report. Perhaps it's a lengthy "leadership lesson" post you've read on LinkedIn. The wording is OK, perhaps a bit overly elaborate. But there's something about it that just seems off. The words might not necessarily be wrong, but ultimately, it feels like there's no there there. Tech CEO to Gen Z: You can have a social life or be successful — but n…
Companies are losing money to AI "workslop" that slows everything down
Modern workplaces are increasingly adopting artificial intelligence, promising speed, efficiency, and innovation. However, the reality is often messier in practice. Many companies feel pressured to adopt AI quickly, worried that failing to do so will leave them behind competitors. Yet work produced by AI can create more correction and confusion...Read Entire Article
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