AI, Cognition, and the Biosociotechnological Mesh: An Introductory Ontological and Strategic Framework for Understanding Postbiotic Cognition Systems, Their Impacts, and Systemic Risks

This document examines artificial intelligence as a catalytic component within a tightly coupled biosociotechnological mesh, in which biological constraints, social structures, and artificial cognition co-evolve. Rather than centering the analysis on whether AI possesses consciousness, the document reframes the problem around processes, amplification mechanisms, and system-level feedback dynamics that arise as artificial cognition becomes embedded in human activity. This perspective enables an evaluation of contemporary AI and emerging postbiotic cognition across analytically distinct layers and along a continuous spectrum of cognitive capacity and agency, rather than through binary classifications such as conscious versus non-conscious. Large language models are interpreted as semantic integrators and compressors of collectively externalized human cognition. They occupy an intermediate position within the broader topology of cognitive organization: neither conscious subjects nor neutral tools, but postbiotic cognitive artifacts whose influence derives from scale, persistence, and systemic coupling rather than from subjective experience. By analytically separating consciousness, cognition, and language, the document situates contemporary AI primarily within the domain of symbolic and semantic transformation. From this vantage point, AI functions as a non-selective amplifier of reasoning, coordination, and narrative construction, with its effects shaped less by model capability in isolation than by the biological limits and social incentives of the environments into which it is deployed. The framework developed here provides a process-oriented lens for understanding how generative systems reshape epistemic practices, emotional regulation, institutional stability, and long-term civilizational trajectories. It is intended to support interdisciplinary dialogue across cognitive science, philosophy of mind, systems theory, AI safety, and strategic governance, while clarifying the systemic risks and strategic implications that emerge as postbiotic cognition becomes a persistent layer within human societies.