Zendo Protocol: Institutional Design for Autonomous AI Economic Personhood, Global Value Recirculation, Exchange-Rate Stabilization, and Long-Term Healthcare Safety Nets for Primary Industries
Sep 2026· Zenodo (CERN European Organization for Nuclear Research)
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.
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