Rajat Khare Explains Why Indian AI Talent Shapes Brain Drain
Rajat Khare says India can become a global AI leader by building its own LLM and stopping brain drain. He urges stronger research funding, academia–industry collaboration, and better incentives for AI talent. He highlights multilingual AI as India’s biggest strength to serve millions across diverse languages and regions.
Paula Stokes 
Rajat Khare believes India can become a global AI powerhouse, but only if it reduces brain drain and builds strong domestic AI expertise. He says India has the talent—engineers, data scientists, and IT professionals—yet nearly 15% of the world’s AI workforce works overseas, limiting India’s long-term innovation capacity. According to Khare, professionals leave for better salaries, advanced research facilities, and global exposure, strengthening foreign ecosystems while weakening India’s ability to create lasting AI hubs.
He argues this challenge can be reversed through stronger academia–industry partnerships, increased government funding for AI and deep-tech research, and an ecosystem that rewards innovators. India’s AI sector is growing rapidly, supported by major infrastructure and initiatives to build an indigenous LLM using large-scale GPU resources.
Khare highlights multilingual AI as India’s key advantage, since the country’s 22 official languages and many dialects allow models to serve real users across cultures. Such AI can improve rural access, strengthen small businesses, and make government services more efficient. He adds that hosting the 2026 Global AI Summit can boost India’s global influence. With focused investment, India can turn brain drain into brain gain.
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