The Axiomatic Theory of Endogenous Scarcity in AI-Native Economies

Abstract This paper develops an axiomatic and institutional framework for understanding the transformation of economic scarcity in AI-native economies. It examines how expanding artificial intelligence capabilities interact with physical constraints, capital ownership, income distribution, inferential market access, institutional authority, monetary allocation and systemic stability. The analysis combines conditional mathematical propositions, economic models, counterexamples and falsifiable hypotheses with a Stoic institutional philosophy grounded in practical wisdom, justice, temperance and courage. The central argument is that computational abundance does not automatically produce universal economic access, equitable distribution, legitimate authority or systemic resilience. These outcomes depend on additional economic, institutional and governance conditions. The paper further distinguishes technological feasibility from lawful authority, productive decentralization from the distribution of economic power, and settlement efficiency from computational allocation efficiency. Its normative contribution proposes human dignity, institutional accountability, bounded delegation, independent assurance and the capacity for correction as enduring principles for an AI-native civilization. The manuscript forms part of the ANOA (AI-Native Organizational Architecture) independent research programme and provides a theoretical foundation for subsequent investigations into AI-native capitalism, constitutional economics, organizational governance and monetary stability. Research status: Independent theoretical research. The manuscript has not undergone peer review, empirical validation or institutional endorsement. DOI: 10.5281/zenodo.23685337 Version: 1.0