CONCEPT
Managed Transition
The third trajectory — alongside collapse and oscillation — available to systems pressing against limits: a smooth adjustment to sustainable equilibrium, requiring three conditions Meadows specified with precision.
Of Meadows's three possible trajectories for a system approaching limits, the managed transition is the only one that preserves the system's functional identity while reducing its growth rate to match the regeneration rate of its resource base. It requires three conditions simultaneously: the limits must become visible before overshoot; the system must have structural capacity (balancing loops) to respond; the response must be fast enough relative to the growth rate. The AI ecosystem currently fails all three. The managed-transition framework identifies precisely what must be built, at what speed, to redirect the trajectory from collapse toward sustainable equilibrium.
In The You On AI Field Guide
The first condition — visible limits — requires improving information flows so the depletion of cognitive reserves becomes as visible as the productivity gains it produces. Current dashboards are the inverse of what managed transition requires: they highlight output and hide depth erosion. New measurement infrastructure — for deep expertise levels, attentional capacity, questioning originality, cognitive diversity — is not peripheral to