The Axiomatic Theory of Federated Architectural Resilience, Institutional Capital Diversification and Systemic Risk in AI-Native Economies

This working paper develops an axiomatic and comparative framework for evaluating architectural resilience, institutional capital diversification, and systemic risk in AI-native economies. Building upon the ANOA (AI-Native Organizational Architecture) research programme, the study examines whether federated economic infrastructures can provide structural advantages over concentrated architectures and financially diversified systems that remain exposed to common operational dependencies. The analysis integrates cyber-physical stability, distributed macroeconomic coordination, autonomous production, beneficial ownership, household solvency, monetary transmission, and the transition toward decentralized applications (dApps) within the Inferential Web. A central distinction is established between financial diversification and architectural diversification. Portfolio diversification alone does not necessarily eliminate exposure to shared computational infrastructure, energy systems, settlement mechanisms, or centralized execution authorities. The paper develops formal conditions under which federated architectures may reduce expected losses, contain systemic contagion, and improve resilience-adjusted capital efficiency. Comparative theoretical models and illustrative quantitative stress tests examine both the potential advantages and the limitations of federation. The framework also incorporates verifiable institutional mandates, accountable execution, distributed authority, and human economic sovereignty. Stoic principles of prudence, justice, temperance, and fortitude are translated into institutional constraints rather than treated as substitutes for empirical evidence. The resulting proposition is that federated architectural diversification can provide a conditional structural advantage when independent infrastructure, bounded authority, effective shock containment, and coordination efficiency jointly outweigh the costs and risks introduced by federation. The study contributes a theoretical foundation for evaluating long-term investment resilience, institutional infrastructure financing, and economic coordination in increasingly autonomous computational environments. Research classification: Independent Theoretical Working Paper. Scope and limitations: The formal results depend on explicitly stated assumptions. Quantitative illustrations are synthetic and do not constitute empirical validation, investment guarantees, or demonstrated superiority over any named financial institution or commercial platform. Author: Marco PatroneResearch programme: ANOA — AI-Native Organizational ArchitectureVersion: 1.0DOI: 10.5281/zenodo.24016943