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Malaysia’s Semiconductor AI Transformation

Medium-Scale Vendors and the Missing Middle

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Malaysia handles about one in eight of the world's chips.

Almost half of everything the country exports is electrical and electronic. And Malaysia's listed semiconductor companies are worth under 2% of its own stock market.

Huge volume. Modest value.

That's not about doing anything wrong. It's about where in the chain you sit. Designing a chip captures half the industry's value. Assembling and testing it — what Malaysia is world-class at — captures six per cent.

Moving up is two climbs, not one. Up in size, and up in value — from making what a drawing says, to doing the engineering, to owning the product. A company can grow to a thousand people and stay completely replaceable.

And it's already been done here. Four Penang companies were each worth under RM100 million a decade ago. They build their own test equipment now. Combined value: roughly RM26 billion — approaching the entire assembly-and-test sector they grew up supplying.

What AI adds. These companies have the machines, the certifications, the customers. What they've never had enough of is engineering attention — the hours to work out why a yield moved, to quote a hard job properly, to document a process well enough to win better work.

That's what changed. AI fills the layer between software and people, where judgement lives. Less a tool, more additional cognitive workforce. And it helps the smaller company most, because it adds something that was never there at all.

This book maps one industry in detail: what happens at every stage, where the hours and money go, what it costs, and what to do first.

For four groups, none of whom can do this alone — the Malaysian companies at every size, the vendors who'd build for them, the agencies who'd enable it, and the banks who'd finance it.

Forty years becoming indispensable. The question now is how much of it stays.

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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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