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The process by which AI systems gain de facto authority through repeated use, without explicit governance decisions. What begins as advisory support gradually becomes decision infrastructure as outputs become defaults, defaults become norms, and norms become requirements. Authority accumulates implicitly through habit, efficiency pressures, and perceived objectivity.
No formal resolution declared the model authoritative. But managers now ask why officers overrode the recommendation, not why the model recommended. Authority accumulated through use: outputs became defaults, defaults became norms, norms became requirements.
Section 5.2: Authority Accumulation Control