Marketing Against The Grain This One Chart Exposes Why Most Companies Are Failing At AI
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Mar 10, 2026 They dig into a chart that reveals why companies struggle to turn AI potential into real use. Conversation covers why better models alone do not win and how embedding AI into workflows is the real challenge. They explain the human adoption gap and present a practical Rapid5 framework to redesign organizations into AI-native operations.
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Model Quality Is Not The Winning Factor
- Model improvements alone won't decide winners because capabilities are already very strong.
- Kipp Bodnar and Kieran Flanagan point to a viral Entropic chart showing large theoretical AI coverage versus low observed deployment across industries.
The Real Opportunity Is The Red Blue Gap
- The biggest opportunity is the gap between theoretical AI coverage and actual deployment.
- The Entropic chart shows blue (theoretical) far larger than red (observed), indicating unrealized potential in many industries.
Electricity Factory Redesign Explains AI Adoption
- Kipp compares AI adoption to electricity: factories initially just swapped steam for electric power and got little benefit.
- Real productivity arrived when factory floors were redesigned around electricity, illustrating why workflow redesign matters for AI.