Collectively, India’s structural advantages in AI infrastructure, talent, compute access, innovation and governance signal a transition from foundational readiness to execution at scale. Building on this momentum, the policy focus is correspondingly shifting from enabling adoption to building enduring national capabilities. Furthermore, a strategic focus on small, efficient language models tailored for local languages and constrained environments strengthens this trajectory. These models reduce compute and energy requirements while supporting real-time, on-device AI applications, expanding access to AI benefits, particularly for micro, small and medium enterprises (MSMEs), smaller cities and underserved communities.
Union Budget 2026-27 reinforces this shift, signalling a move away from isolated experimental AI pilots towards scalable, enterprise-grade platforms enabled through multi-year investment frameworks. It further lays the foundations for an AI‑ready economy by expanding compute infrastructure, strengthening semiconductor and electronics capabilities and accelerating AI upskilling.
Looking ahead, AI is projected to unlock USD1.7 trillion in economic value by 2035, underscoring its key role in India’s ambition of Viksit Bharat by 2047.