AI PRODUCTIVITY GAINS MASK WORKER BURDEN OF 'WORKSLOP'

The disconnect between management expectations and worker reality is widening as AI tools proliferate across offices. "Workslop" – polished-looking but fundamentally flawed AI-generated work – has become a hidden cost of automation. Ken, a copywriter at a Miami-based cybersecurity firm, exemplifies the trend. Once satisfied with his role, he now spends significant time correcting inaccurate AI output rather than creating original work. The problem emerges when employees use AI to rapidly produce content that appears professional on the surface but contains errors, inaccuracies, or requires substantial revision. Rather than accelerating workflows, this creates additional labor: identifying mistakes, rewriting sections, and verifying facts. Companies measuring AI success through speed metrics miss this hidden workload. Employees absorb the quality-control burden, effectively extending their workday while executives see only faster output numbers. The gap suggests organizations implementing AI need revised metrics—measuring actual productivity gains rather than raw output volume.