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Fast Company argues AI may dull human curiosity and outlines ways to rebuild it

Published
Score
11

Why it matters

Tomas Chamorro-Premuzic, chief science officer at Russell Reynolds and professor at both UCL and Columbia, argues that generative AI erodes human curiosity by delivering answers with artificial certainty and speed. The piece frames curiosity as a learned, biologically reinforced drive—one that depends on uncertainty, reflection, and active questioning to remain engaged. When AI removes friction from information-seeking, Chamorro-Premuzic contends, people shift from active learning to passive consumption, trading the cognitive reward of discovery for the convenience of instant answers.

The article draws on research across neuroscience, personality psychology, and organizational behavior, linking curiosity to openness to experience, intrinsic motivation, and tolerance for uncertainty. Chamorro-Premuzic situates AI within a longer history of cognitive tools—comparing generative systems to earlier concerns about writing—but argues that AI is distinctly disruptive because it generates fluent, plausible answers that feel like understanding without requiring the user to think. The piece also identifies workplace culture as a lever: leaders who model humility, ask questions, and protect time for exploration can help preserve curiosity among their teams.

The strategic stakes are rising as generative AI becomes embedded across work and education. Chamorro-Premuzic argues that competitive advantage is shifting from information access to the ability to interrogate, refine, and apply knowledge—making curiosity a business skill, not a soft trait. Attorneys should watch whether this analysis influences how organizations approach AI adoption and whether firms begin treating curiosity cultivation as a retention and performance issue.

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