AI Coding Speeds Up Individuals, But Team Productivity Remains Stagnant

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While AI coding tools enable individual developers to write software faster, overall engineering output and team momentum remain bottlenecked by systemic friction. Large pull requests, outdated workflows, and unreliable tracking metrics prevent these personal efficiency gains from translating into organizational speed. This friction becomes especially pronounced in larger organizations, where despite a 28-fold surge in corporate AI investment, standard delivery metrics show that velocity has plateaued—and in some cases, even declined.