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Deployment vs. Utilisation: The Hidden Drag on AI ROI

This theme tracks the structural gap between announced AI deployments and actual, productive utilisation — driven by workforce resistance, organisational friction, and the lag between technology rollout and measurable productivity gain.

5 signals tracked

  1. Worker sabotage and productivity lag challenge enterprise AI return assumptions

  2. Microsoft's Copilot underperformance and Apple's model outsourcing expose adoption bottleneck

  3. Claude Mythos breach and Code regressions reveal production brittleness

  4. Meta health AI failures, Microsoft agent escalation, and Stanford diffusion data converge

  5. The Implementation Gap: AI Capabilities Race Ahead of Safety and Productivity Reality