Artificial intelligence is helping many office employees complete routine tasks faster, with a recent survey showing that workers save an average of about 11 hours per week through AI-assisted workflows. However, those gains come with a hidden cost: employees spend significant time reviewing outputs, correcting mistakes, and refining prompts to achieve acceptable results.
The study, which surveyed 6,000 digital workers in the United States, United Kingdom, and Australia, found that while most individuals report higher productivity, organizations are not seeing equivalent business benefits. Three-quarters of respondents experienced personal efficiency improvements, yet only a small percentage of companies reported major gains in growth or revenue linked to AI adoption.
A major reason for this gap is the growing amount of oversight required. Workers spend more than six hours each week monitoring AI-generated content, fixing inaccuracies, restarting failed sessions, and gathering the information needed for better responses. Researchers describe this as an often unseen layer of human effort that supports AI-driven work.
The findings also raise concerns about accountability and expertise. Many employees admit they sometimes submit AI-generated material they could not fully explain themselves. As AI takes on larger portions of daily tasks, workers are increasingly acting as supervisors of digital assistants, creating a new workload centered on managing, validating, and improving machine-generated output rather than performing the original tasks directly.
