siliconindia | | JULY 20268IN MY OPINIONHOW AI-LED ENGINEERING IS THE DEFINING FRONTIER FOR ENGINEERING SERVICES Ashish with over three decades of experience in technology-led industries, he drives LTTS's innovation roadmap, focusing on intellectual property, products, platforms, and digital engineering solutions. Under his leadership, the company has built a strong culture of innovation across thousands of engineers and expanded its patent portfolio significantly. He is also a prominent voice on AI, edge computing, digital twins, and future-ready engineering.Ashish Khushu, Chief Technology Officer, L&T Technology Services In an interaction with Sejal Singh B G, Correspondent at siliconindia. Ashish Khushu, Chief Technology Officer at L&T Technology Services Limited (LTTS) shared his insights on `How AI-Led Engineering Is the Defining Frontier for Engineering Services'.Engineering services are entering a new era. For years, cloud and digital transformation helped firms modernize infrastructure, improve efficiency, and scale operations. But AI-led engineering is different. It is not simply another layer of technology sitting on top of existing workflows. It is reshaping how products are imagined, designed, tested, manufactured, and improved.That distinction matters because the product development landscape itself has changed. Across mobility, medical devices, consumer electronics, and industrial systems, companies are under intense pressure to launch faster, innovate continuously, and deliver better user experiences at lower cost. A product cycle that once had 18 months of breathing room may now need to be compressed into half that time. In some industries, even two years can feel too slow.So the real question is not whether AI will influence engineering services. The real question is; can engineering firms remain competitive without making AI central to their operating model?Why AI-led engineering goes beyond cloud & digital?Cloud and earlier digital initiatives were largely about optimization. They helped enterprises move workloads, standardize systems, and improve operating efficiency. AI, by contrast, reaches much deeper into the engineering lifecycle.It supports ideation by helping teams explore concepts faster. It accelerates design by enabling rapid reuse of components and smarter alternatives. It improves simu-lation by reducing dependence on physical prototypes. It strengthens testing through digital twins and virtual en-vironments. It even influences manufacturing and supply chain planning by improving prediction, visibility, and responsiveness.Think about what that means in practical terms. If a company previously built four physical prototypes before launch, AI may allow three of those cycles to be simulated digitally. That can save time, reduce cost, and speed up learning dramatically. The value is not just incremental. It is structural transformation.This is why AI-led engineering is not comparable to the cloud shift. Cloud made delivery more efficient. AI changes the engineering equation itself. It creates a new model where knowledge, data, and domain expertise are continuously embedded into the development process.There is another important difference. AI is not one technology. It is a family of technologies where machine
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