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This article argues that specialization is inevitable for AI systems, drawing on evidence from optimization theory, evolutionary biology, competitive markets, and machine learning. It interprets a 2026 paper by Goldfeder, Wyder, LeCun, and Shwartz-Ziv to challenge the assumption that greater capability leads to greater generality.