How AI ‘workslop’ is undermining your organization’s performance - HR Dive

An article published by HR Dive introduces the term 'workslop' to describe low-quality work generated by artificial intelligence that produces flawed results and requires extra human oversight. The article argues that this phenomenon is undermining organizational performance and that CHROs can reverse the trend by revisiting their AI application strategies and incentive structures.

The piece explains that 'workslop' results from employees using AI tools without proper guidance or governance, leading to outputs that appear plausible but contain errors. This creates additional work for review and correction, negating the efficiency gains AI is supposed to deliver. The article recommends that organisations establish clear guidelines for AI use, adjust performance incentives to reward quality over volume, and invest in training programs to help employees use AI tools more effectively.

The article positions 'workslop' as a symptom of broader governance failures and suggests that addressing it requires coordinated effort from HR leaders. It implies that without changes to how AI is deployed and managed, the quality problems will persist and potentially worsen as AI adoption scales across the workforce.