[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_28":-5,"_38":-5,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":50,"_51":52,"_53":54,"_55":56,"_57":58},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5},"book",{"_12":13,"_14":15,"_16":17,"_18":19,"_20":21,"_22":23},"currentUser","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODM3NTM","title","Malaysia’s Automotive AI Transformation","state","published","contactAuthorMethod","email","aboutText","

Malaysia does not have one anchor running its automotive industry the way Petronas runs oil and gas. It has two: Proton and Perodua, each with its own vendor base, its own history, and its own decades-long habit of deliberately building local supplier capability — a habit that, in Proton’s case, predates Petronas’s own celebrated 1993 decision by several years. Malaysia’s Automotive AI Transformation follows one illustrative vehicle through half a dozen real companies before it ever reaches a dealership, and finds some of this series’ most concretely quantified AI evidence along the way: Bosch’s stator-welding system improving defect detection from roughly 70 90% to almost 100% accuracy. It closes with an industry mid-transition: two national anchors, an EV shift running behind its own targets, and RM3.2 billion sourced from local ven dors by Proton in a single year — proof the mechanism still works, if it is pointed at what comes next.

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