Rajat Khare Thinks India Can Be the First to Buy the AI Revolution

Rajat Khare Thinks India Can Be the First to Buy the AI Revolution

Rajat Khare’s Vision for AI in India

As India is about to court an LLM, Rajat Khare—the founder of Boundary Holding—loudly advocates for the talent within. He thinks that India is a little too far to be called a global AI champion—but only if it tackles the everlasting problem of brain drain.


The Global AI Shift and India’s Position

A new era of technology that is basically AI-influenced is coming. As India is rich in engineers, data scientists, and IT specialists, it has the necessary attributes to be the one in the forefront of the change. Nevertheless, a considerable amount of such talent—almost 15% of the global AI workforce—is stationed abroad.


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Khar’s stand is that the main factor behind this situation is the power of AI that is not serving India at its full capacity.

 

“One of the causes is the very lavish production of skills in India. But these skills are not serving the technological interests of India the way they should,” states Rajat Khare, venture capitalist and chief of the Luxembourg-based deep-tech investment firm Boundary Holding.


Reasons for Leaving of Indian AI Talent

Every year, thousands of Indian professionals with highly coveted skills migrate to the West for better research facilities, higher pay, and global exposure. This trend has historically led to the innovation of the host countries but at the same time has been the main reason for the decline of India’s innovation-dependent ecosystem.


Rajat Khare believes this challenge is not a given but rather a policy and infrastructure shortcoming that India can address by:



"India's technology talent pool is the most valuable asset the country has, but gradually more and more of it is going to countries with better returns," Khare points out.


The Growth of Indian AI

India's digital infrastructure is undergoing rapid transformation. The government’s decision to support the creation of a homegrown large language model—using more than 18,600 GPUs—has made a major contribution to the goal of AI independence.


India's approach to AI has one distinct feature compared to Western models: it is multilingual intelligence. With 22 official languages and hundreds of dialects, India is in a prime location to develop AI systems that are culturally aware and can cater to different linguistic groups.


This not only fortifies India's tech field but also grants it an upper hand in the world in the area of inclusive AI development.


Necessities India to Hold Talent

In order not to lose the best AI talents and to turn India into a global innovation center, the following five measures are of primary importance:


Increase AI Research Funding

More centers of excellence should be established—mainly in Tier-2 cities—to disperse innovation.


Create Incentives to Stay

AI fellowships, PhD scholarships, and competitive pay structures for researchers need to be introduced.


Support Deep-Tech Startups

AI-based entrepreneurship should be assisted by providing easier access to funds and mentoring networks.


Collaborate Globally

Researchers of Indian origin who are abroad should be invited to work remotely on projects that are national.


Showcase India’s Ambition

Events like the 2026 Global AI Summit in India could serve as a rare opportunity to assert leadership in the global AI agenda.


The Power of Multilingual AI

The cultural and linguistic diversity of India might be the most significant edge in AI rather than its technology. A model that is trained to comprehend and give responses in Hindi, Tamil, Bengali, Telugu, Marathi, etc. not just in terms of grammar but also in context will revolutionize the way AI interacts with people.


Such models can:


Thus, India’s AI becomes not only commercially powerful but also socially transformational.


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From Brain Drain to Brain Gain

 The country’s role in the world of technology is changing—no longer a mere labor supplier but a source of global innovation. The outflow of skilled professionals that once looked like a fait accompli is now seen as a challenge that right policies, funding, and vision can turn into a gain.


“The government is really pushing AI,” states Rajat Khare, “but the real test will be how effectively we keep and develop talent. That will decide whether we lead or lag behind.”


India's vision of being a pioneer in the world's AI revolution can be realized only if it makes big investments in its thinkers, supports its innovators, and gives its risk-takers the right place.


Frequently Asked Questions (FAQs)

Q1. What is the role of Boundary Holding in AI investment?

The company, Boundary Holding, which is the brainchild of Rajat Khare, invests in deep-tech and AI startups that are concerned with impacts in real-world sectors like healthcare, mobility, and security, among others.


Q2. What is India’s objective in the AI arena for the next decade?

India intends to build up a self-sufficient AI ecosystem, spearhead worldwide innovation, and make a shift from being a tech outsourcing destination to offering world class AI products.


Q3. In what ways does the brain drain hinder the Indian AI sector?

The top AI researchers and engineers fly away to overseas countries, which is the consequence of brain drain, and it makes India’s innovation ecosystem weaker and technological progress slower.


Q4. What actions can India take to put a stop to the exodus of brains in the AI field?

Higher research funding, tighter collaboration between industry and academia, making AI fellowships, and paying competitively to keep the best minds are some of the ways India could stop the exodus of top talent in AI.


Q5. What is the definition of uniqueness in the context of India's AI project?

The AI projects in India are geared towards multilingual capabilities, which not only reflect the country’s cultural and linguistic diversity but also lead to the development of AI systems that can entertain the millions in their local tongues.


Q6. What are the advantages of multilingual AI in India?

The implementation of multilingual AI can result in more widespread use of technology, making it easier for the rural residents, local enterprises, and government initiatives to communicate and function smoothly through their respective native languages.