ANOA — Essay II: The Future of Capitalism in AI-Native Economies

Artificial intelligence expands productive capabilities without uniquely determining the ownership of productive assets, the distribution of income, the accessibility of economic opportunities, or the legitimate authority to execute economic decisions. This paper develops an axiomatic and modular political-economy framework for capitalism in AI-native economies. It distinguishes productive artificial capital, infrastructure capital, representation-related investment, ownership claims, inferential consideration, and authorized action. Through conditional mathematical propositions and constructive counterexamples, the analysis examines capital accumulation, labor substitution and complementarity, ownership concentration, Network-Dependent Allocation, gateway dependence, aggregate demand, computational monetary transmission, authority-constrained stabilizability, and distributed revocation. The central thesis is that technological abundance does not, by itself, ensure distributed economic power, equitable access, or systemic resilience. The future organization of capitalism depends on the interaction of property rights, computational representation, infrastructure dependencies, market institutions, and legitimate authority. The paper further introduces a Stoic institutional interpretation grounded in practical wisdom, justice, temperance, and courage, while maintaining a clear distinction between mathematical deductions, empirical hypotheses, normative principles, and legal mandates. This independent theoretical contribution forms the second essay of the ANOA (AI-Native Organizational Architecture) research programme. It extends the analysis of endogenous scarcity developed in Essay I and establishes a conceptual foundation for further research into AI-native political economy, computational allocation, and macrofinancial stability. Research status: Independent theoretical working paper, Version 1.0. The mathematical results are conditional on their stated assumptions. No empirical validation, peer review, or institutional endorsement is claimed.