CONCEPT
Panarchy
Panarchy is Holling and Gunderson's framework for the cross-scale structure of complex adaptive systems. Every adaptive cycle is nested within larger cycles and contains smaller cycles within itself. The interactions between cycles at different scales — how disturbance propagates upward, how accumulated wisdom propagates downward — determine whether a disturbance at one scale remains contained or cascades into systemic crisis. Panarchy is not an ornamental addition to the adaptive cycle; it is the operational structure that explains why the AI transition is so dangerous — the disruption is cascading across scales simultaneously, weakening the cross-scale interactions that normally cushion transitions.
In The You On AI Field Guide
The two fundamental panarchic mechanisms are revolt and remember. Revolt is the upward cascade of disturbance from smaller, faster scales to larger, slower ones. Remember is the complementary downward provision of stability, context, and accumulated wisdom from larger scales to smaller ones. A healthy panarchy allows invention and experimentation at small scales while constraining destabilizing excesses through larger-scale memory.
In the AI transition, revolt is operating with extraordinary intensity. Disruption cascades