AI is creating ‘workslop’ and hindering productivity

A new study shows that it’s leading to an overwhelming amount of low-quality output labeled “workslop,” which is creating more work for people on the receiving end and costing businesses money. Researchers from the Harvard Business Review, in collaboration with the Stanford Social Media Lab, coined the term “workslop” to describe the emerging problem.

HBR’s survey of 1,150 full-time employees across industries in the US revealed the pervasiveness of workslop:

  • The study said it disproportionately affects the tech sector. But 40% of respondents overall say they have received workslop in the past month.
  • Those who report having had workslop poured onto their desk said an average of 15.4% of the work they receive fits the slop description.
  • While workslop is mostly a peer-to-peer problem (40%), it comes to managers from direct reports 18% of the time.

The emotional and social toll: When asked how it feels to receive workslop, 53% of employees reported being annoyed, 38% feeling confused, and 22% feeling offended. Along with having to scour the slop for mistakes and missing information, recipients feel the stress of having to discuss the issue diplomatically with peers and bosses.

The bottom line: The study estimates that for a company of 10,000 employees, workslop results in $9 million worth of lost productivity per year. The HBR study echoes one from the MIT Media Lab in July that found that despite between $30 billion and $40 billion being invested in gen-AI tools, 95% of organizations are getting zero return from the technology

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