This paper introduces Predictive Structural Intelligence as a time-bound extension of the Structural Intelligence framework. Its central claim is that structures do not usually fail simply because mismatch exists; they fail when mismatch accumulates faster than repair can bind. The paper therefore shifts SI from static diagnosis toward breach-hazard estimation: the disciplined assessment of whether contradiction is being metabolized into binding repair quickly enough to prevent structural debt, buffer exhaustion, burden export, hysteresis, and synthetic trace from forcing contact in a harder form. It proposes a state sequence from answerable operation to compensation, fluency masking, debt-financed stability, theater-stabilization, brittleness, flickering, crisis, and possible repair or fragmentation. It also defines predictive variables including drift velocity, contact half-life, contradiction recovery lag, repair velocity, maintenance inflation, hidden-holder depletion, burden export velocity, synthetic trace discount, and binding strength. Drawing on resilience engineering, graceful extensibility, critical-transition research, cybernetics, and system safety, the paper treats prediction as a bounded, falsifiable, and downgrade-governed practice rather than deterministic prophecy. Its key methodological rule is that no predictive claim can be marked Verified when apparent repair depends mainly on hidden-holder labor, unverified AI trace, manual rescue, or synthetic documentation. The result is a practical architecture for estimating structural exhaustion across AI systems, institutions, relationships, infrastructure, and organizational life.
Vladisav Jovanovic (Wed,) studied this question.