CONCEPT
Supply-Side vs. Demand-Side AI Governance
Langdon Winner's distinction between governance that constrains what AI companies may build and governance that equips citizens, workers, and communities to participate in decisions about how AI is deployed—and the diagnosis that the first has absorbed almost all institutional attention while the second remains almost entirely unaddressed.
Al the governance frameworks that have emerged in response to the AI transition share a common architecture: they address the supply side. The EU AI Act, the American executive orders, the emerging frameworks in Singapore, Brazil, and Japan tell AI companies what they may and may not build, what disclosures they must make, what risks they must assess. This is not nothing.
Langdon Winner's framework reveals what it is not: it is the governance of gatekeepers by other gatekeepers, the constraint of corporate actors at the margin, while accepting the basic premise that the companies are the relevant actors and that governance consists of constraining their behavior. The demand side—ensuring that citizens, workers, students, and communities have the resources, the voice, and the institutional support to participate in decisions about how the technology is deployed in their lives and who bears its costs—remains almost