About this investigation

KAC surfaced three HIGH-sensitivity assumptions: (1) the disclosed HBM3E market-share numbers across SSRN academic working papers reflect consistent measurement methodology — STRESSED, contributing to KJ-003's roughly-even-chance calibration; (2) Hunter.io's accept_all=true does not over-state actual mailbox provisioning — moderate sensitivity; (3) the Codex-baseline relationship for David Zinsner reflects current rather than historical Micron employment — flagged in ent_006 confidence.

Two thesis-level competitions tested: (A) Pivot-to-HBM-specialist vs Commodity-continuance vs Hybrid-AI-plus-EBU — A1 leading (KJ-001); (B) HBM3E share recovery vs decline vs muddle-through — roughly even chance, hypothesis B not eliminated (KJ-003). NVIDIA customer concentration emerges as a cross-cutting structural variable supporting KJ-002.

Premortem on the pivot hypothesis surfaced two non-trivial failure modes: (1) CHIPS Act political reversal forces NY-fab abandonment and damages the federal-backed AI-memory narrative; (2) NVIDIA HBM4 displacement extends from Rubin (already happened) to subsequent generations. Both incorporated as confidence-limiting on KJ-004 and KJ-006.

Applied — target.type=org with rich surface (86 entities, 22 SaaS dependencies, named executives, 1,308 CXMT patents). Generated 9 red vectors and 10 blue controls. Top three vectors by impact: R-01 spear-phishing of named senior executives; R-02 influence ops targeting the CHIPS Act liaison; R-05 insider-recruitment mirroring the 2018 UMC/Jinhua DOJ-prosecuted pattern.