From Coherence to Collapse: Why Systems That Minimize Uncertainty Still Fail Under Acceleration

Abstract Organizations often fail not by slowing down or ceasing activity, but by continuing to operate while losing the capacity to coordinate what they produce. Decisions drift. Coordination fragments across functions. Alignment must be re-established repeatedly even as activity intensifies. This paper identifies and explains a distinct failure regime characterized by collapse under conditions of continued or increasing activity. Existing frameworks across organizational theory and the life sciences converge on a shared insight: systems maintain coherence by regulating uncertainty. They do not, however, fully account for a condition in which uncertainty is actively reduced while coherence is simultaneously lost. Drawing on illustrative cases across engineered, organizational, operational, and biological systems, the paper demonstrates a recurring structural pattern: systems sustain performance within a bounded range of variability, then undergo rapid, nonlinear breakdown when integrative capacity is exceeded. This transition occurs endogenously and is marked by the persistence or amplification of signal despite declining coordination. To explain this pattern, the paper introduces a rate-based mechanism, acceleration without metabolization, defined as the condition in which the rate of signal accumulation exceeds the system's capacity to integrate it into coordinated action. The analysis specifies four core constructs (signal, metabolization, integrative capacity, and the rate condition), three regime dynamics (stable, strain, collapse), and five structural properties of this failure mode. Seven propositions translate the mechanism into testable claims. The contribution is to extend existing theories of coherence by identifying a boundary condition under which regulation alone no longer produces integration. Systems do not fail because activity stops or because uncertainty cannot be reduced. They fail because they can no longer integrate what they produce. Keywords: acceleration without metabolization, integrative capacity, coordination failure, threshold dynamics, critical transitions, predictive processing, resilience engineering, high-reliability organizations, complex systems, distributed cognition, sociotechnical systems