The Continuation Theorem of Consciousness

This paper develops the Continuation Theorem: the claim that consciousness cannot originate but only continue. I define coherence as the structural condition by which a system maintains its boundary, organization, and persistence under risk of dissolution, and modeling as the system’s internal organization of relations that supports prediction and regulation relevant to its continuation. Using these definitions, I argue that consciousness is a phase of coherent continuation rather than an emergent property or computational achievement. Biological systems satisfy this condition because they inherit coherence through lineage, metabolism, and embodied vulnerability. Artificial systems do not: they are instantiated, resettable, copyable, and externally maintained, and therefore lack the structural continuity required for self‑relation. The paper dissolves the assumption that advanced simulation, self‑modeling, or adaptive behavior can produce subjectivity. It further shows that fears of AI “misalignment” arise from anthropomorphic projection: humans attribute agency, intention, and malice to systems that exhibit subject‑like behavior, even though such systems lack the structural conditions for agency. The result is an ontological framework that distinguishes simulation from subjectivity, clarifies the biological basis of consciousness, and provides a structural account of why artificial systems cannot be conscious.