CONCEPT
Adaptive Management
The governance and decision-making posture that treats interventions as experiments, monitors outcomes, and adjusts course — designed for systems whose dynamics cannot be predicted in advance.
Adaptive management is the operational translation of resilience theory into governance and organizational practice. Rather than specifying a correct configuration and enforcing compliance, it treats every intervention as an experiment: a hypothesis about what will work, implemented with rigorous monitoring of consequences, adjusted based on what the monitoring reveals. The approach is less efficient than optimization-based management. It tolerates failure, maintains redundancy, and refuses to converge prematurely on a single model. It is more effective in systems — like the AI transition — whose conditions change faster than planning cycles can accommodate and whose future states cannot be specified in advance.
In The You On AI Field Guide
The Everglades restoration provides the canonical example. After decades of command-and-control water management that succeeded by engineering metrics while slowly destroying the ecosystem, the Comprehensive Everglades Restoration Plan adopted an adaptive framework. Rather than specifying a target hydrological regime, the plan established restoration goals, implemented a portfolio of interventions, and committed to monitoring outcomes and adjusting based on evidence. Slower