
Leading Through the AI Revolution: Diagnosing and Acting in the Fog
This paper examines how AI is reshaping knowledge-based work and argues that the central risk is leaders' misdiagnosis of the type of disruption they face. It introduces three KS Insight diagnostic tools and shows how they can be used together to stabilize systems and make grounded choices under compressed timelines and incomplete information.
Focus areas
- How AI compresses timelines and exposes structural weaknesses in knowledge industries.
- The roles of the Leadership Challenge Framework, AI Substitution Spectrum, and FOG FILTER.
- Ways to stabilize the system, communicate openly, and sequence adaptation through reversible experiments.








