The rapid advancement of generative AI is challenging long-held notions of expertise and mastery. The traditional belief, epitomized by Malcolm Gladwell’s “10,000-hour rule” that expertise demands extensive practice, is being upended by AI’s capability to produce high-quality outputs, both creative and technical, with a minimum of human input. This demands reevaluating the skills and knowledge that will remain valuable as AI begins to automate, thereby devaluing some complex cognitive tasks.

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