research report · Momentum Metric series
Organizations acquire AI capability faster than they can absorb, decide, reinforce, and sustain it.
The Momentum Metric documents the execution operating-system mismatch behind stalled pilots, manager-layer strain, and the Drift Tax. For chief financial officers and chief operating officers who share the design decision, not only the deployment budget.
Establishes the full Momentum Metric framework: Decision Agility Gap, Kinetic Chain of Execution, Drift Tax, and reinforcement design within human capacity limits.
Why AI pilot spend does not reach the P&L
Download the full reportThe Momentum Metric: Selecting and Executing for Volatility in the AI Era
What does the research briefing show about AI pilot spend and P&L impact?
AI pilot spend often fails to reach the profit and loss statement when deployment outpaces decision speed and reinforcement.
What’s inside
- MIT Project NANDA (2025): 95 percent of enterprise generative AI pilots delivered no measured profit-and-loss impact (failure = no measured uplift, not technical pilot failure)
- Boston Consulting Group (2024): only 4 percent of companies at the forefront of AI value creation; 22 percent actively scaling
- The Kinetic Chain of Execution: where strategic intent breaks down between senior leadership, mid-level management, and frontline action
- Gallup (2025–2026): manager engagement fell from 30 percent to 22 percent while frontline engagement held near 18 to 19 percent
- Lagging indicators: organizational attitude effects estimated near 20 months after strategic change (meta-analysis of 137 longitudinal studies)
- Three exhibits (Kinetic Chain of Execution, Cortisol Trap vs Readiness Environment, Decision Agility Gap) mapped to operating decisions, not slide decks
Who this is for
Chief financial officers and chief operating officers at organizations scaling technology and talent decisions faster than their execution systems can govern.
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