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Malaysia’s Automotive AI Transformation
Medium-Scale Vendors and the Missing Middle
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About the Book
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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Author
About the Author
Muralikrishna Sridhar
Dr. Muralikrishna Sridhar is an experienced AI leader with a strong background in managing large-scale AI initiatives, driving business transformation, and scaling AI-driven solutions across industries. With a PhD in AI and a postdoc from the University of Leeds and visiting researcher at Stanford Research Institute, he has successfully led AI strategy, execution, and customer engagement in automotive, construction, and manufacturing for more than 15 years. As a successful entrepreneur, Krishna has co-founded CONXAI Technologies GmbH - a company that provides cutting edge AI solutions for the construction sector. He also co-founded Sparsa AI GmbH, pioneering AI-Agentic innovations for the real economy. Through these ventures, he has been at the forefront of advancing AI solutions that revolutionize industrial operations, human -machine collaboration, and decision-making in real-world enterprise environments. At Accenture, he plays a key role in shaping the AI Agent strategy, defining roadmaps, and driving execution— ensuring AI agents are not just technological innovations but practical solutions that deliver measurable business impact. His expertise lies in bridging AI with enterprise operations, enabling organizations to integrate intelligent automation seamlessly into their workflows.
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