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The article argues that most measurable AI tasks become commodities, eaten away by cheaper models, while lasting value lies in work whose correctness is private, expensive to verify, and locked inside a firm’s data and processes. Companies that win build integrations, earn trust, and take accountability, turning AI into outcomes rather than tokens.