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Workers spend more time fixing AI output than creating it

Summarised from 2 outlets · 3 reports · Updated 21 Oct, 21:20 · Archive

Workers are spending more time correcting AI-generated content than creating their own work from scratch, according to multiple surveys.

Multiple surveys reveal that workplace AI adoption is creating unexpected productivity drains. A Use.AI study of 8,316 workers across the UK, EU, US, Canada, Australia and Latin America found that whilst 62% appreciated how much easier AI made creating documents and code, significant problems emerged downstream. Nearly 48% of respondents had received AI-assisted work requiring correction, and 43% had to redo unsuitable material entirely.

The revision burden is substantial. Some 39% said checking AI output took longer than creating the work from scratch, and 41% highlighted how much more reviewing and verifying was now required. Separately, a Nielsen survey of 1,700 senior managers across seven countries found that over half now find it harder to evaluate employee work after adopting AI, as polished output makes it difficult to distinguish employee contribution from AI assistance. Nearly half of managers say they spend more time reviewing and guiding their teams' output than before.

In software development, an Atlassian survey found that whilst 87% of developers report AI helps them write and ship code faster, 72% also experience the same or greater friction across the entire development lifecycle. Only 25% of developers are now saving 10 or more hours weekly using AI, compared with 68% in 2025, suggesting the initial efficiency gains are diminishing.

Workers spend more time fixing AI output than creating it
Image: TechRadar

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In this story: Use.AI · Nielsen · Monday.com · Atlassian

This summary was written by AI from the headlines and standfirsts above, and states as fact only what at least two outlets report. How we use AI · Report a problem