India's PMRC Scheme: Can Fellowships Lure AI Talent Home?

India launched the Prime Minister Research Chair (PMRC) scheme to attract global Indian-origin researchers. The initiative covers thirteen strategic sectors including AI, semiconductors, and quantum computing, offering research grants, infrastructure support, and institutional backing. The goal is to shift some of the world's best minds from labs at OpenAI, Google DeepMind, Anthropic, and Meta back to Indian universities and national laboratories.

Decades of brain drain have left most Indian-origin researchers contributing to breakthroughs abroad rather than at home. The PMRC scheme is a direct attempt to reverse that flow. Yet the distance between a fellowship program and a frontier AI lab is measured in more than just dollars.

The Compute Gap

Bhaskarjit Sarmah, head of AI research at enterprise AI venture Domyn, pointed to compute as the first hurdle. Training and experimenting with frontier AI systems demand massive GPU clusters and supercomputing infrastructure. Without those resources, researchers are limited to incremental work rather than ambitious science. Sarmah said this infrastructure gap is one reason America does the research while India executes.

Leading research ecosystems in the US and Europe are deeply interconnected. Universities work closely with industry through joint labs, sponsored projects, and shared infrastructure. Researchers move between academia and industry while continuing frontier work. India's industry-academia interface, Sarmah argued, remains far from that level of maturity.

The Compensation Gap

According to Levels.fyi, an AI researcher in the US earns a median total compensation of $178,920 annually. The same role in India pays roughly $30,782 – a six-fold difference. Paras Chopra, founder of AI lab Lossfunk, said professors should be paid on par with leading AI labs. Research is rarely driven by money alone. Compensation does influence where talent builds long-term careers. A country competing for the world's best researchers cannot ignore the economics of talent.

The Moonshot Question

Umakant Soni, cofounder of Bharat1, noted that researchers want to work on the toughest problems. History backs him up. The Manhattan Project reshaped physics. The Apollo program transformed aerospace research. CERN became a magnet because it pursued questions no other institution could answer. If AI research is to flourish in India, the same kind of breakthrough ambition is needed.

Today, much of India's AI ecosystem is concentrated on applications, enterprise deployments, and model fine-tuning. Valuable businesses are being built. Very few efforts redefining the frontiers of AI. Without such moonshot ambitions, India risks remaining a consumer of breakthroughs developed elsewhere.

India has executed large-scale technology missions before. Aadhaar and UPI succeeded because they had clear objectives, long-term commitment, and coordination across institutions. A similar playbook for AI – combining compute infrastructure, talent recruitment, academia-industry collaboration, and a handful of ambitious scientific goals – could significantly improve India's chances of becoming a serious destination for frontier research.

The PMRC scheme is an important start. Attracting top AI researchers back to India is not simply about creating fellowships. It requires building an ecosystem where the world's best minds believe the next big breakthrough can happen at home.