LEAP AI Leadership Wiki
This is a human-readable knowledge base for the LEAP AI change leadership workshop.
The purpose is simple: after the session, readers can revisit the ideas, understand the concepts, see how they connect, and follow the sources behind them.
Core Framework
Start here — these six pages are the backbone of the workshop:
- Leading Change Through AI
- Six Strategy AI Leadership Framework
- The New Leadership Role
- Hybrid Human-Agent Teams
- AI Strengths and Human Strengths
- Change Curve and AI Adaptation
Key Concepts
Supporting ideas that appear throughout the workshop:
- Adoption Gap — why 95% of AI initiatives fail to deliver impact
- Jagged Frontier — where AI outperforms and where it silently fails
- Iceberg Concept — above-waterline tools vs. below-waterline competitive advantage
- Context as Differentiator — why context determines AI output quality
- Autonomy Levels for AI Agents — the spectrum from human-in-the-loop to full autonomy
- Hallucination as Plausibility Optimization — what AI errors actually are