Discriminating Alignment Hypothesis

The discriminating alignment hypothesis is Williamson's central predictive claim: governance structures align with the characteristics of the transactions they govern. Low asset specificity, low uncertainty, and infrequent transactions are governed efficiently by markets. High asset specificity, high uncertainty, and frequent transactions require hierarchical governance. Intermediate cases—moderate specificity, bounded but manageable uncertainty, regular but not continuous interaction—are governed by hybrid forms (long-term contracts, partnerships, relational arrangements). The hypothesis is discriminating because organizations do not adopt uniform governance across all transactions—they discriminate, applying different governance structures to different transaction types based on cost-minimizing logic. It is predictive, not normative: it describes which governance forms will emerge, not which should. The AI age's organizational forms—vector pods, AI-augmented solo builders, hybrid evaluation structures—are precisely what the hypothesis predicts given AI's transaction cost structure.