Asia-Pacific manufacturers have transitioned from initial AI experiments to broad implementation, Samson Khaou, executive vice-president for the region at Dassault Systèmes, explains. What began as exploratory testing has evolved into deep integration with core operations, where AI now delivers quantifiable industrial benefits.
General-purpose AI platforms such as Gemini and ChatGPT do not meet manufacturing needs, Khaou argues. Precision, safety protocols, and physical constraints require tailored solutions. The industry is instead adopting agentic AI, which functions autonomously within strict parameters. Dassault’s customer base reflects this trend, with growing demand for specialized applications.
Design and engineering workflows are undergoing the most rapid transformation. Previously, designers created prototypes while separate teams conducted testing. Now, AI-driven simulations optimize products at the earliest stages, embedding engineering specifications and compliance checks from the outset. This approach accelerates development timelines while reducing costs.
Predictive maintenance represents another critical application. AI systems, paired with industrial sensors, continuously track equipment performance. They forecast remaining operational life and suggest maintenance schedules before failures materialize, shifting manufacturers from reactive to proactive strategies. The impact is particularly significant in high-risk sectors, including aerospace, defense, automotive, and semiconductors, all of which are vital to Malaysia’s economic structure.
In aerospace, the retirement of experienced engineers threatens institutional knowledge loss. AI tools that analyze historical data enable younger staff to access expertise more efficiently than traditional recruitment processes. However, the challenge extends beyond technology: successful AI integration demands workforce training, process overhauls, and careful change management.
The industry’s progression from pilot programs to full deployment signals maturity. Some companies still treat AI as an auxiliary tool layered onto outdated systems, but those achieving meaningful results embed it into fundamental operations. Khaou cautions that overlooking organizational adjustments, such as reskilling employees and restructuring workflows, often results in avoidable setbacks.
Malaysia’s AI adoption strategy distinguishes it within ASEAN. The country combines strong digital literacy, high English proficiency, and robust government backing. While Singapore leads in infrastructure and regulatory frameworks, and Indonesia and Vietnam confront skills shortages, Malaysia achieves a balanced approach. Adoption across ASEAN is progressing fastest among manufacturers integrated into global supply chains. “When digital capability becomes a condition for competitiveness, the conversation about transformation becomes very concrete more quickly,” Khaou says.
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