Abstract Ambient Power defines stability as a low-energy attractor rather than a coercive structure. In saturated symbolic environments, high-pressure socio-technical architectures become thermodynamically expensive, requiring continuous energy injection, behavioral compression, and irreversible binding to maintain coherence. Ambient systems, by contrast, stabilize through reversibility (ΔR), open boundary conditions, low-pressure gradients, and field-distributed coherence. This document formalizes Ambient Power as a thermodynamic law: systems become dominant when the energy cost of maintaining stability approaches zero, while competing architectures require sustained external energy to resist entropy. Under AI saturation, symbolic scarcity collapses and ambient stability emerges as the lowest-energy equilibrium available to human–AI cognitive ecosystems. Ambient Power is therefore not ethical, political, or ideological in origin, but a physical consequence of thermodynamic efficiency under saturation conditions. This law formalizes why ambient architectures emerge as the stable attractor under increasing symbolic and AI-driven pressure.
Raynor Eissens (Thu,) studied this question.