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The new study, co-authored with J. Frank Li of the University of British Columbia, Javier Miranda of Germany’s Halle Institute for Economic Research, Robert Seamans of NYU’s Stern School of Business, and Andrew J. Wang of Stanford, turns from algorithm to assembly line. Using confidential U.S. Census Bureau microdata linked to customs import records, the team tracked industrial robot adoption among roughly 240,000 single-unit U.S. manufacturing firms from 1992 to 2021—identifying robot adopters by the moment they began importing machines from overseas suppliers in Japan, Germany, and Switzerland.
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But the code was never really yours. It belongs to the team, the product, and the users. Letting go of code as self-expression is liberating. No attachment means you take feedback better, refactor without flinching, and skip the arguments about whether the code is good enough.