Agentic AI promises systems that do not just generate responses, but execute real business tasks. Yet new data shows that only around 5 per cent of enterprise AI agent projects have made it into production, with most stuck in prolonged pilot phases due to poor data, siloed organisations, and unclear governance.

We examine why the gap between AI ambition and execution is widening, even as Malaysia pours billions into data centres. We explore what it really takes to manage a workforce that is part human, part algorithm, and why leadership, data readiness, and trust now matter more than the technology itself.

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