Scientific Definition
AI capability outpacing organizational ability to use it.
Plain-English Definition
AI capability outpacing organizational ability to use it.
Feynman Explanation
The model can. The org can't. Yet.
Core Principle
AI capability outpacing organizational ability to use it.
Mechanisms
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Inputs (Triggers)
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Outputs (Behaviors)
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Behavioral Signature
The model can. The org can't. Yet.
Examples
- Most enterprises sitting on capabilities they haven't integrated.
- Strategic opportunity hiding in plain sight.
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Famous Experiments
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Design Principles
- Capability audits. Use-case backlogs. Adoption infrastructure investment.
Measurement Approaches
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Evidence
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The Perverse Incentive Lens™
How this behavior is exploited — and how to redesign around it.
- Capability audits. Use-case backlogs. Adoption infrastructure investment.
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Interactive Mini Network
Click any neighbor to re-center the graph and follow the threads of connection.
Knowledge Graph Neighbors
Auto-linked to the rest of the Human Behavior Taxonomy by family, domain, dimension, and shared keywords.
AI strategy = decisions about which capabilities to build and where.
Augmentation strategy vs. substitution strategy.
Stages of organizational AI capability.
Augment when judgment matters. Automate when scale matters.
Strategic choice on AI capability sourcing.
Specialized training on domain data.
Open-weight vs. API-only models.
Concentration risk on a single AI provider.
Operating economics shaped by per-token pricing.
Written rules about how AI may be used internally.
Innovators → early adopters → majority → laggards, AI-specific.
AI system that takes actions to achieve goals, often across tools.