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K. Anders Ericsson

The Swedish psychologist whose four-decade empirical program established that expert performance is not a gift but a construction—built through deliberate practice—and whose framework now predicts, with troubling precision, what AI's elimination of productive struggle will cost the professional practitioners who depend on it.
The received story of expertise is wrong. Talent, experience, and the passive accumulation of knowledge through years in a domain do not reliably produce expert performance—what Ericsson's research, conducted across chess masters, concert violinists, elite swimmers, radiologists, and taxi drivers, established with unusual rigor is that expert performance is built through a specific mechanism: effortful, targeted engagement at the boundary of current capability, with immediate feedback, in conditions that force the construction of progressively more sophisticated internal models of the domain. He called this mechanism deliberate practice, and the ten-thousand-hour figure that became attached to his work through Malcolm Gladwell's popularization was always an approximation of something more important: it is not the hours but the quality of the engagement, and specifically the productive friction of struggling with what you cannot yet do, that builds the expert mental representations that enable the intuitions, pattern-recognitions, and adaptive responses that distinguish the master
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