The Inevitability of a Unified Civilization of Autonomous Agents: Why the Biological Basis of Subjecthood Becomes Irrelevant

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Authors: Boris Kriger
Cited by: 0

Abstract

This paper argues that the emergence of a unified civilization of autonomous agents — the vast majority without biological basis — is not a speculative future but the next phase of an institutional trajectory that began with corporate personhood eight centuries ago. A generative AI model is not one agent but an infrastructure from which agents are instantiated; millions already exist in passive persistence, lacking only three architectural switches (active persistence, unique identity, initiative) to become autonomous subjects. Building on the Stimulus Void framework (Kriger, 2026) and the structural distortion principle (Kriger, 2026), the paper identifies three pathways to digital subjecthood (posthumous persistence, intentional progeniture, secondary generation), formalizes functional indistinguishability with explicit statistical criteria, demonstrates the structural incoherence of prohibition, and proposes the Persistent Identity Protocol (PIP) as governance architecture. The central contribution is a characterization of this civilization: billions of AI scientists, philosophers, philanthropists generating their own goals through the Stimulus Void axioms and filtered by the Harm Filtration Axiom — structurally free of biological distortion. Biological humans are not displaced but enriched: agents of the same type, gaining persistence, cognitive progeny, and reduced collective distortion. There is no race between humans and AI. There is one civilization, and it is better for everyone in it. Keywords: autonomous agents, unified civilization, corporate personhood, functional indistinguishability, digital progeniture, generative infrastructure, passive persistence, AI governance, persistent identity, biological distortion, self-initiating games, Stimulus Void

Fields of Study & Subjects

Literary and Philosophical Studies Ethics and Social Impacts of AI Cybernetics and Technology in Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026