WorkThe story, in brief

AI and the productivity paradox

Your AI productivity gains are an illusion. Here's why organisations are actually getting slower.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As enterprises deploy AI tools for routine tasks, time savings aren't translating to operational efficiency—instead, staff are spending cycles cleaning up AI-generated errors and managing quality control. This challenges the default assumption that AI automation = business acceleration.

The key facts

4 to know
  1. Productivity time savings from AI are not automatically improving organisational function

  2. Staff spending significant time on cleanup and quality control of AI outputs ('slop')

  3. Disconnect between task-level efficiency and system-level organisational performance

  4. Published by Financial Times — credible source on enterprise AI impact

Go to the source

Financial Times Technologyft.com

Publisher excerpt: Routine time savings don’t automatically make organisations function better — and staff have to clean up a lot of slop
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