AI tools promise speed, but many managers now spend evenings correcting the output. This article explains why the hidden workload matters for anyone who relies on AI at work.

Managers like Dung now verify every point in 40 daily reports. Each verification adds five to ten minutes, and the cumulative extra time forces her to take work home each night.

A Harvard Business Review survey of 1,000 U.S. workers found that 15 % of working time is spent fixing AI‑slop. The same survey reported that 42 % of respondents said they lost trust in colleagues and 53 % felt frustrated.

Data presented at the Vietnam AI Productivity Activation event showed that workers save between 11 and 13 hours per week thanks to AI. However, they also spend an additional 6.4 hours editing and verifying the results.

The term “workslop” refers to AI‑generated content that appears polished but contains false information, a problem linked to employees’ lack of prompting skills, laziness, or burnout. Concrete errors illustrate the costly fallout: a car advertisement mixed specifications, costing the company 30 % of a contract; a market‑research report included fabricated figures; and a bank report misread a blurry scan, producing inaccurate data. These examples show how a single mistake can have serious financial and reputational consequences.

Because managers must constantly double‑check AI output, their workload expands and personal time shrinks, while trust among team members erodes. Understanding this hidden burden helps organisations design better AI policies and protect productivity.