The Five Resource Flows

A common-pool resource, in Ostrom’s precise terminology, exhibits two defining characteristics: subtractability, meaning one person’s use reduces what is available to others, and difficulty of exclusion, meaning it is costly to prevent access. Applied to the AI transition, this framework reveals not one commons but five interconnected resource flows, each with its own degradation mechanism, each feeding back into the others in loops that can accelerate either collapse or recovery. The knowledge commons is degraded not by physical extraction but by informational pollution—AI-generated text that is fluent but unreliable, raising the cost of finding genuinely trustworthy information for every participant. The skills commons is degraded when entry-level developmental work is displaced before practitioners build the embodied understanding that deeper judgment requires. The attention commons is degraded when AI-accelerated output volume overwhelms the evaluative mechanisms—peer review, editorial judgment, critical reading—on which quality depends. The trust commons is degraded when the indistinguishability of human and AI-generated content erodes the shared confidence that underlies professional credentialing and institutional exchange. And the institutional