Study: organizations gain more from AI augmenting human decision-making than replacing workers

A meta-analysis from the Royal Docks School of Business and Law found that AI excels at complex tasks quickly while people excel at tasks involving judgment, meaning, and responsibility. The research suggests organizations should redesign their 'knowledge ecosystems' (the ways groups create, store, and share information) around human-AI collaboration rather than mass layoffs.

A separate study titled 'AI Assistance Reduces Persistence and Hurts Independent Performance' tested AI assistants such as ChatGPT with over 1,200 participants on math and reading comprehension. Performance scores dropped sharply once AI was removed, and users were more likely to give up on hard problems than those who didn't use AI—effects appearing after only about 10 to 15 minutes of using AI.

The Royal Docks study recommends five building blocks for human-AI knowledge ecosystems: workflow redesign mapping tasks by who is best suited, hiring AI specialists, training shift toward metacognition, higher-quality documentation, and ethical guardrails to keep AI aligned with human- and business-centered goals.