Generative Relational Economics, Volume VI: Artificial Intelligence, Domains, and Economic Order

This volume examines the implications of artificial intelligence and radical capability asymmetry for economic relations and extends Generative Relational Economics across a range of substantive domains before developing an integrated account of economic order. Artificial intelligence is analyzed as a potential source of large and persistent asymmetries in productive, epistemic, symbolic, and organizational capability. The volume considers artificial productive capacity, labor, ownership, surplus, redistribution, participation, subjecthood, epistemic dependence, research orientation, governance, and long-horizon human–AI relations. Capability asymmetry is not treated as intrinsically equivalent to domination; the analysis instead asks how asymmetry becomes coupled to ownership, dependence, institutional authority, access, exclusion, or generative participation. The framework is then translated into domains including education, research and knowledge institutions, work and organizations, development and humanitarian practice, welfare, communities and commons, platforms, public infrastructure, migration, ecology, and symbolic economy. Domain translation is used to test both the usefulness and the limits of GRE rather than to absorb neighboring disciplines into economics. Comparative domain inquiry provides the basis for an analysis of generative relational economic order. Economic order is examined through institutional capacity, allocation, value circulation, dependency, participation, contestability, temporal sustainability, epistemic conditions, and revisability. The volume thereby connects technological transformation and domain-specific analysis to broader questions concerning the constitution and governance of economic order.