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Meta's AI Workforce-Retrenchment Experiment Exposes Execution Limits

Meta's AI Workforce-Retrenchment Experiment Exposes Execution Limits

Meta's reported 220% increase in code changes produced only 36% growth in shipped features, alongside reliability, security, and firefighting problems. The resulting retreat from deeper staff replacement is a significant enterprise-agent signal: adoption and activity metrics are not yet translating cleanly into durable product productivity.

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Updated Aug 28, 2026