Vaishnaw argued that true AI capability must be measured across five distinct layers, not just by the size of a country's large language models (LLMs)

In a sharp rebuttal to the International Monetary Fund’s (IMF) classification of global AI readiness, Union Minister Ashwini Vaishnaw said India is a "first-tier" AI power, asserting that the country is poised to become the world's largest supplier of AI services.
Speaking at the World Economic Forum panel "AI Power Play, No Referees," Vaishnaw challenged IMF managing director Kristalina Georgieva’s grouping of India among nations "watching" AI happen rather than "making" it happen. "I don’t think your classification in the second tier is right. It’s actually in the first," Vaishnaw stated directly to Georgieva during the session.
Vaishnaw argued that true AI capability must be measured across five distinct layers, not just by the size of a country's Large Language Models (LLMs). He detailed India's comprehensive progress across this stack:
Application layer: Where Vaishnaw predicted India will dominate, creating bespoke enterprise solutions globally that drive actual return on investment.
Model layer: Moving away from the "trillion-parameter" obsession, India is building a "bouquet" of efficient 20–50 billion parameter models that handle 95% of use cases without requiring massive GPU farms.
Chip layer: A focus on indigenous custom silicon development to reduce dependency.
Infrastructure layer: The deployment of public-private compute facilities—specifically an empanelment of 38,000 GPUs—to democratise access for startups and researchers at a fraction of global costs.
Energy layer: Integrating green energy to sustainably power the country's growing data centre footprint.
"Does creating a large model give you geopolitical power? I don’t think so," Vaishnaw remarked, warning that companies banking solely on massive frontier models might face bankruptcy if costs outweigh returns. He said that the "fifth industrial revolution" will be defined by the diffusion of technology—getting the lowest cost solution to the widest user base—rather than holding a monopoly on the largest model.
Vaishnaw also cited Stanford University rankings, which place India third globally in AI penetration and preparedness, and second in AI talent.