By Piyush Jha, Group Vice President and Head – APAC, GlobalLogic
“As AI moves from digital interfaces into the physical world, responsible innovation is no longer optional; it becomes foundational. This year’s National Technology Day marks a decisive inflection point for India, where the conversation is rapidly shifting from capability to control. The emergence of advanced systems, including vulnerability-discovery models, has underscored the real risks of AI operating on legacy and mission-critical infrastructure, accelerating the need for stronger guardrails, regulatory oversight, and industry-wide governance frameworks.
As physical and agentic AI begin to interact with real-world systems, the convergence of software, data, and machines introduces new dimensions of risk, ranging from systemic failures to amplified vulnerabilities at scale. This demands that governance is not layered on after deployment, but engineered into the core through secure architectures, real-time observability, and accountable AI frameworks.
At GlobalLogic, we have been building and scaling AI long before it became mainstream, embedding intelligence deep into engineering, platforms, and real-world systems. Today, with over 75 AI-powered solutions, 200+ AI-enabled client engagements, and nearly half of our business augmented by AI, our focus is on engineering differentiation that translates into real-world impact. Equally, we are investing in transforming talent at scale through platforms like GLX, driving over a million learning hours and delivering measurable gains of 10–30% across efficiency, cost, and retention through AI-led skilling. For us, the future of innovation will not just be defined by how intelligent systems become, but by how responsibly they are engineered, ensuring AI moves from insight to action in a way that is safe, resilient, and trusted by design.”
