Rajat Khare Explains Why Ending Brain Drain Is Key to India’s AI Leadership

Rajat Khare’s Vision for India’s AI Future

India is on its way to creating its own large language model (LLM) and Rajat Khare, the founder of Boundary Holding, highlighted the need to encourage local AI talent. He is of the opinion that India is on the verge of being the world’s AI superpower but only if it is able to control the constant outflow of talent.

India’s Position in the Global AI Shift

A new era of technologies has arrived, and the world is all set to face this change with the help of Artificial Intelligence. India being equipped with its large pool of engineers, data scientists, and IT professionals is one of the key players to lead the transformation. However, a large part of this talent, almost 15% of the global AI workforce, is located abroad.

Rajat Khare sees this imbalance as a drawback:

“This surplus is not blessing the technological aspects of India as it should ideally do,” comments Rajat Khare, an investor and founder of Boundary Holding, the deep-tech investment firm based in Luxembourg.

Reasons for Leaving India’s AI Talent

Every year, a large number of top-notch Indian professionals travel overseas in search of better research facilities, better salaries, and global exposure. Although this trend has been conducive to innovation abroad, it has also made it difficult for India to develop the necessary infrastructure to support and sustain its own innovation ecosystems.

Rajat Khare claims that such a situation is not unavoidable; rather, it is a shortage of policy and infrastructure that brings India to where it is currently at. India can close this gap by 

• To make industry and academia work together more closely

• To make AI and deep-tech research get more funds from the government

• To make researchers and innovators happy and satisfied

“Though talent pool in India’s tech domain is its major strength, a large part of it is moving out for better returns”, emphasizes Khare.

The Growth of Indian AI

India’s digital infrastructure is progressing at a fast pace. The Government’s plan for a local large language model—supported by more than 18,600 GPUs— is a considerable advantage in the journey towards AI independence.

Unlike Western AI models, the Indian approach has one peculiar point of emphasis: multilingual intelligence. With 22 official languages along with hundreds of dialects, the country is in the best position to manufacture culturally aware AI systems that can support and communicate with the population of different languages.

The domestic technology scenario of India gets stronger by this and on top of that it also gets global recognition as a developer of financially and socially inclusive AI solutions.

Things to Be Done by India to Keep its Talent

In order to prevent the migration of the best AI minds and make India the center of global innovation, there are five vital actions:

1. Boost AI Research Grants

Create more centers of excellence with special focus on Tier-2 cities to disperse innovation.

2. Encourage Researchers to Remain

Set up AI fellowships, Ph.D. scholarships, and lucrative salaries for researchers.

3. Back Deep-Tech Startups

Support the establishment of AI by facilitating their access to venture capital and mentoring networks.

4. Join Forces with Others Worldwide

Bring Indian-origin researchers from abroad to work online at local projects.

5. Demonstrate India’s Aspiration

Holding events such as the 2026 Global AI Summit in India could signify a major role in setting the international AI agenda.

The Power of Multilingual AI

The biggest benefit of India in AI may not be its computing power, but rather its cultural and linguistic diversity. A model trained to comprehend and reply not only in Hindi, but also in Tamil, Bengali, Telugu, and Marathi, among others—not only grammatically, but also contextually—can completely change the way AI is dedicated to real people.

Such models can:

• Activate rural users and small companies

• Enhance government service delivery

• Open doors to AI for non-English speaking audience

Such factors make India’s AI not only commercially powerful but also socially transformative.

From Brain Drain to Brain Gain

India’s global technology role is changing—from being a supplier of tech manpower to being a creator of global innovations. The brain drain that appeared to be inevitable now looks like a challenge that proper policy, funding, and vision can change.

“The government has been very supportive of AI,” Rajat Khare speaks, “but the real test will be how good we are at keeping and developing talent. That will determine whether we lead or follow.”

If India believes in its thinkers, supports its innovators, and above all values its risk-takers, it can lead the world’s AI revolution—not as a participant but as a pioneer.

Frequently Asked Questions (FAQs)

1. What is the position of Boundary Holding regarding AI investments?

Rajat Khare’s Boundary Holding provides funding for deep-tech and AI startups which impact positively on the real world in healthcare, mobility, and security areas, besides their creative and technological potentials.

2. What is India’s ultimate wish in AI?

India wants to build an AI ecosystem that is self-sufficient and dominant in technology worldwide, besides changing its image from a mere tech outsourcing country to one producing first-rate AI products.

3. How does brain drain become an obstacle for India's AI industry?

Brain drain means losing top AI researchers and engineers to other countries, which in turn reduces the flow of innovation in India and slows down technological progress in the country.

4. What measures can India implement to prevent brain drain in AI?

India can increase grants for research, boost the cooperation between industry and academia, set up AI exclusive fellowships, and offer attractive salaries as the means to retaining its best talents.

5. What is the singularity of India’s AI initiative?

India’s AI initiatives are aimed at creating automated systems that can speak multiple languages and handle many dialects that exist in the country, thus making the AI systems capable of reaching millions of people in their local tongues.

6. In what ways can the multilingual AI application be advantageous to India?

Multilingual AI would increase the accessibility of technology to a bigger audience, as it would be easier for the inhabitants of rural areas, small traders, and local government initiatives to communicate and conduct business through their native languages.