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What happened
Researchers from BetterUp Labs and Stanford Social Media Lab have coined the term 'workslop' to describe low-quality AI-generated content that pretends to be valuable but fails to meaningfully contribute to tasks. This issue may be a significant factor behind the 95% of organizations that have implemented AI yet report no return on investment. Workslop is characterized by being unhelpful, incomplete, or lacking essential context, which ultimately increases the workload for others who must interpret or redo the work. A survey of 1,150 full-time U.S. employees found that 40% had encountered workslop in the past month. To mitigate this problem, researchers recommend that leaders model intentional AI use and establish clear guidelines for acceptable practices within teams.
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Key insights
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1
Definition of Workslop
Workslop refers to low-quality AI-generated content that lacks substance.
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2
Impact on Organizations
95% of organizations report no return on AI investments due to workslop.
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3
Employee Experience
40% of surveyed employees received workslop in the past month.
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4
Need for Guidelines
Clear guidelines on AI use are essential to mitigate workslop.
Takeaways
Addressing the issue of workslop is crucial for maximizing the benefits of AI in the workplace.