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April 14, 2026Open Access

System-Layer Failure: Drift, Capacity Collapse, and AI as Compensatory Governance

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SRSignal Rupture

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Overview

Reveals how AI emerges as a stabilizing force in governance during capacity collapses.

Key Points

  • The aim is to examine how institutional systems degrade over time and the role of AI in governance.
  • Introduced a drift-capacity model to analyze institutional complexity.
  • Conducted historical analysis from early cybernetics to modern governance.
  • Identified patterns of AI adoption following administrative overload.
  • Described how institutions accumulate complexity faster than they can manage.
  • Explained that AI is not a standalone innovation but a response to system strain.
  • Showed that AI functions to stabilize governance during periods of institutional drift.

Cite This Study

Signal Rupture (2026) studied this question.

synapsesocial.com/papers/69ddda4de195c95cdefd7b76https://doi.org/10.5281/zenodo.19545816
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