The pitfalls of over-reliance on AI

Discover how over-reliance on AI can hinder decision-making and diminish human skills, leading to missed opportunities and poor outcomes.

“Fabrizio Dell’Acqua shows why relying too much on AI can backfire. In an experiment, he found that recruiters who used high-quality AI became lazy, careless, and less skilled in their own judgment. They missed out on some brilliant applicants and made worse decisions than recruiters who used low-quality AI or no AI at all. When the AI is very good, humans have no reason to work hard and pay attention. They let the AI take over, instead of using it as a tool.” —Centaurs and Cyborgs on the Jagged Frontier

Featured writing

Nobody takes you aside anymore

Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.

Your AI agents need a water cooler

Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.

On the death of the author and the birth of the detector

Why worrying about AI authorship is lazier, and more prejudiced, than it looks.

Books

The work of being available now

A book on AI, judgment, and staying human at work.

The practice of work in progress

Practical essays on how work actually gets done.

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The questions your faculty information system cannot answer

Systems Owe Evidence. People Do Not.

Memory is (almost) solved. time is next.

AI can't tell if a memory is two minutes or two weeks old. The fix isn't making models feel time — it's cache invalidation: an as-of stamp on every fact, a clock in the context, and a freshness window for anything volatile.

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