India must accelerate AI development despite global caution: experts

India's artificial intelligence ambitions diverge sharply from the cautionary stance adopted by leading global technology firms, who are increasingly advocating for measured approaches to frontier AI development. Rather than pausing progress, Indian policymakers and technologists argue the nation must accelerate efforts to develop its own AI infrastructure, capabilities and governance systems to avoid widening technological disparities.

The nation faces a complex balancing act distinct from debates in developed economies. While Western AI companies grapple with questions about the pace of advanced model development, India must simultaneously address foundational gaps: building robust computing infrastructure, developing indigenous large language models and other AI systems, and establishing appropriate safeguards before the technology becomes deeply embedded in critical sectors.

Industry observers note that global calls for AI slowdowns, however well-intentioned, risk entrenching existing advantages held by early-moving technology leaders. For India, the imperative is not to match frontier capabilities immediately, but to construct a comprehensive AI ecosystem that serves local needs while building sovereign technological capacity. This requires sustained investment in data infrastructure, researcher development and computational resources.

Experts emphasize that India's AI strategy cannot simply replicate Western approaches to regulation and development. The nation must pursue responsible innovation that accounts for local contexts—including linguistic diversity, varied economic development levels, and distinct regulatory environments—while avoiding the pitfalls that global technology leaders now seek to address through slower development cycles.