Vinod Khosla pitches AI tutors and digital doctors for all Indians via Aadhaar within 2 years

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At the India AI Impact Summit, billionaire venture capitalist Vinod Khosla said India could deploy AI-powered personal tutors, primary-care doctors and agricultural advisors for its population of nearly 1.5 billion within the next one to two years — by integrating the services into the Aadhaar digital identity ecosystem.

Khosla, founder of Khosla Ventures, argued that the core technology already exists and can be adapted for India at extremely low cost. He emphasised that large-scale impact would only occur if AI benefits economically weaker sections of society.

He suggested replicating the success model of Unified Payments Interface, where identity infrastructure enabled financial inclusion. Similar integration, he said, could deliver education and healthcare services universally through Aadhaar-linked platforms operated by non-profits.

AI tutors for students

According to Khosla, advanced AI tutors can outperform human tutors by evaluating a student’s understanding within minutes using “knowledge tracing” techniques. The system, trained on billions of student queries, can identify learning gaps and personalise instruction.

He added that discussions are underway to build an AI-powered version of DIKSHA platform in collaboration with Indian AI firm Sarvam AI, potentially transforming access to quality learning resources nationwide.

Digital doctors for primary care

Khosla also outlined AI-driven healthcare services capable of delivering full-spectrum primary care — including diagnosis, mental-health therapy, nutrition advice and chronic disease management. The AI system would interact directly with patients, recommend treatment and escalate complex cases to human doctors.

He argued that improving India’s doctor-to-population ratio through conventional expansion would be impractical even with massive investment, making AI a scalable alternative.

AI advisors for farmers

For agriculture, Khosla proposed a voice- and image-based advisory tool offering farmers round-the-clock access to a “PhD-level agronomist”. The system would support regional languages and local crop conditions, helping overcome literacy barriers.

“The future is here today… If we don’t adopt it, it will be a massive opportunity loss,” he said, urging rapid national deployment.

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