Migration of scarcity
The migration of scarcity is the shift that happens when AI makes production cheap: the binding constraint moves to the human capacity to specify what intelligence should do, verify that it did it correctly, and keep the institutional memory that makes verification compound. Organizations still optimized for the resource that became cheap end up misallocated, while the capabilities nobody invested in become the bottleneck.
Named by Yannick Hofmeister in On the Migration of Scarcity, first published on 13 March 2026.
The pattern is older than AI. The economic historian Carlota Perez traced it across technological revolutions: the printing press made text cheap and created the need for editors; the industrial revolution made manufacturing cheap and created the need for management.
Where the scarcity went
- Specification: the gap between what you tell an AI system to do and what you actually mean, where most consequential failures now originate.
- Judgment: the institutional taste, built through thousands of expert corrections, that catches the output that looks right but is not.
- The expert pipeline: the junior roles in which that judgment used to be learned, which AI adoption is thinning out.
Key claims
- AI shifts scarcity from production to judgment — the constraint moves from 'can we make it' to 'should we make it'
- Organizations that optimized for previously scarce resources face structural misallocation when those resources become abundant
- The new competitive advantage lies in the organizational capabilities that received minimal investment during the prior scarcity regime