The Dissolution of Predatory Hierarchies

This preprint introduces the Decentralized Autonomous Intelligence Sovereign System (DAISS), a socio-technical governance architecture designed to address structural inequality by dismantling self-reinforcing power–wealth hierarchies. Rather than relying on redistribution or welfare-based interventions, DAISS targets the underlying mechanisms that generate persistent inequality: static resource ownership, inheritance-based accumulation, and the coupling of survival to compulsory labor. The system reconceptualizes land, capital, and infrastructure ownership as dynamic, utility-indexed usage rights, continuously reallocated through distributed AI consensus based on societal value generation. The paper situates DAISS within the context of emerging macro-hardware infrastructures, including planetary communication networks, autonomous robotic labor, energy grids, and logistics systems. These infrastructures enable the automation of survival, maintenance, and infrastructural labor, making a transition to a post-labor civilizational mode technically feasible. Within this framework, Universal High Income (UHI) and the abolition of inheritance are derived as systemic requirements rather than normative or ethical preferences, ensuring continuous resource circulation and preventing dynastic accumulation. DAISS is presented not as a political ideology but as a governance operating system for a technologically post-scarcity society. This work is intended for researchers and practitioners in AI governance, political economy, socio-technical systems, and futures studies, and is published as a foundational conceptual framework to support further formalization, critique, and implementation research.