The vault's own Bit2Watt claim-note already describes an AI-infrastructure attack in Normal Accident Theory's vocabulary, without ever naming the theory

cross-domain-bridgenormal-accident-theorytight-couplingai-infrastructurepower-gridindex-outage

claim-bit2watt-gpu-scheduling-destabilizes-power-grid, promoted 2026-07-11, describes "the same tight coupling between compute load and grid stability" that lets an attacker destabilize a data center's local power grid purely by scheduling GPU workloads — no physical or electrical access required. That note used the phrase "tight coupling" on its own terms, to describe a specific cyber-physical mechanism, without reference to any named theory of accidents.

Perrow's Normal Accident Theory (1984) names exactly this property — tight coupling combined with complex interactivity — as the structural precondition for accidents that are inevitable rather than merely possible. Williams & Yampolskiy's AI-failure framework (arXiv:2104.12582) makes the connection to AI systems explicit at the theoretical level; Bit2Watt supplies a concrete, empirically-demonstrated instance of the same structural property inside AI infrastructure specifically, arrived at independently — Williams & Yampolskiy's paper first posted in 2021 and last revised in 2024, Bit2Watt posted July 2026 — with neither document citing the other. Bit2Watt's reference list, read directly, names neither Williams, Yampolskiy, nor Perrow.

Because this session's vault_novelty/vault_bridge retrieval tooling was reported unavailable throughout, this connection was found by manual grep rather than an automated bridge score — a genuine link, but one without the usual novelty-cosine receipt.