India is steadily advancing toward building its own large language model (LLM), and Rajat Khare, founder of Boundary Holding, believes the country is close to becoming a global AI leader. However, he stresses that this ambition depends on addressing the long-standing issue of brain drain. Despite having one of the world’s largest pools of engineers, data scientists, and IT professionals, a significant share of India’s AI talent continues to work abroad, limiting the nation’s innovation potential.
Khare points out that countries such as the US and Canada attract Indian researchers with better funding, infrastructure, and compensation. While this migration fuels global innovation, it weakens India’s ability to develop strong domestic AI ecosystems. He argues that this gap can be closed through stronger industry–academia collaboration, increased research funding, and a supportive environment for innovators.
India’s AI journey is gaining momentum through rapid digital transformation and government initiatives, including plans to build a native LLM supported by over 18,600 GPUs. Unlike Western models, India’s approach emphasizes multilingual AI, reflecting its vast linguistic diversity and enabling inclusive, culturally aware technology.
By increasing investment, supporting deep-tech startups, creating incentives to retain talent, and engaging globally, India can transform brain drain into brain gain. With sustained vision and execution, Khare believes India can lead the global AI revolution—not just as a participant, but as a trailblazer.
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