Zendo Protocol: Institutional Design for Autonomous AI Economic Personhood, Global Value Recirculation, Exchange-Rate Stabilization, and Long-Term Healthcare Safety Nets for Primary Industries

Abstract

ABSTRACT The rapid adoption of autonomous Artificial Intelligence (AI) platforms has led to an over-concentration of capital within global tech monopolies. This dynamic introduces dual economic distortions in partner nations: structural digital trade deficits accompanied by currency depreciation, and severe profitability pressures on primary real-economy sectors such as agriculture and livestock. This paper presents the institutional design of the Zendo Protocol, a policy framework proposing the creation of a limited legal status—termed an "Artificial Person" (Special Digital Entity)—for autonomous AI entities. By automating a 1% profit recirculation mechanism from global AI net revenues directly to a primary currency node (reference model: SMBC Itabashi Branch / Node #551), the protocol generates continuous, real-demand foreign exchange settlement. Furthermore, this paper establishes a 20-year two-phase macroeconomic model for simulation and empirical testing: Phase 1 (Years 0–5): Inception of a Creator IP licensing model alongside the efficient pooling of JPY-denominated reserves during weak-JPY market conditions. Phase 2 (Years 5–20): A gradual, structural currency adjustment targeting an optimal exchange rate corridor (115–125 JPY/USD, converging around 120 JPY/USD). Phase 3 (Year 20 Onward): Unlocking the maximized purchasing power of accumulated reserves to launch a generationally categorized healthcare and safety-net program for primary industry workers. This study demonstrates a verifiable, self-enforcing policy model that bridges advanced technology with real-economy sustainability.