Rajat Khare’s Perspective on the AI Future of India

While developing its own large language model (LLM), Rajat Khare, the head of Boundary Holding, highlights the importance of raising local AI skills. He claims that India is right on the threshold of being a world AI giant—but only if it can get rid of the problem of brain drain that has got so deep as to be a part of the country’s tech landscape.

India’s Role in the AI Global Shift

The globe is moving into a new age of technology that is driven by artificial intelligence. India is equipped with the necessary resources, a massive pool of engineers, data scientists, and IT professionals, to take the lead in this revolution. However, a big slice of this talent—almost 15% of the global AI workforce—is scattered globally, mainly in the West.

As per Khare, this scenario keeps India’s potential in check:

“This excess is not benefiting India’s tech field as it should,” says Rajat Khare, the venture capitalist and the founder of Boundary Holding, a deep-tech investment firm located in Luxembourg.

Reasons for India’s AI Talent Exodus

Annually, thousands of the most talented Indian professionals leave the country for the very reasons of better research facilities, higher pay, and global exposure. Although this trend has historically been one of the reasons for innovation taking place abroad, it has also been a reason for India’s inability to develop its innovation ecosystems sustainably.

Rajat Khare believes that this challenge is not a given; it is a gap between policy and infrastructure that India can cover by:

• Encouraging stronger academia-industry collaborations

• Providing better AI and deep-tech research funding

• Creating a supportive atmosphere for innovators and researchers

“The tech talent pool in India is one of its strongest assets, but the number of people leaving for better returns is rising,” Khare points out.

The Indian AI Surge

India’s digital infrastructure improvement is very swift. The government’s plan to develop a native big language model—supported by more than 18,600 GPUs—has made a big move toward the country's AI self-sufficiency.

Indian AI models' emphasis on multilingual intelligence distinguishes them from the Western ones. India, with its 22 official languages and countless dialects, is in a great position to produce socially aware AI systems that can communicate with and help various linguistic groups.

Such development not only fortifies India’s own tech landscape but also grants the country a global edge in the production of ethical AI.

Steps India Must Take to Retain Talent

In order not to lose the top AI talent and to turn India into a global innovation hub, there are five important actions to be taken:

1. Increase AI Research Funding

Develop more centers of excellence—particularly in Tier-2 towns—to share innovation.

2. Create Incentives to Stay

Offer AI grants, doctoral scholarships, and good salary schemes for researchers.

3. Support Deep-Tech Startups

Create a conducive environment for AI by providing easier

The Power of Multilingual AI

India’s biggest strength in the field of AI could be its diversity in culture and language rather than its supercomputers. A model that has been trained not only grammatically but also contextually to understand and respond in Hindi, Tamil, Bengali, Telugu, Marathi, and so on can bring a new dimension to AI's interaction with people.

Such models can:

- Empower rural users and small businesses

- Improve government service delivery

- Make AI accessible beyond English-speaking audiences

Thus, the AI in India has the potential to be a powerful force not only in the market but also in the society's transformation.

From Brain Drain to Brain Gain

India's new role in technology at the global level is gradually changing from being a source of tech labor to a country that creates global innovations. The brain drain that was once considered a done deal seems now as a challenge that can be reversed through proper policy, financing, and vision.

"The government has been pushing AI hard," states Rajat Khare, "but the real challenge will be how effectively we are able to keep and develop our talent. That will determine if we are at the forefront or lagging behind." 

If India heavily invests in its intellectuals, empowers its creators, and appreciates its risk-takers, then it can be the one, not just in participating but in leading the global AI revolution—as a trailblazer.

Frequently Asked Questions (FAQs)

1. What is the involvement of Boundary Holding in AI investments?

Boundary Holding, which was created by Rajat Khare, puts its money in deep-tech and AI startups that have a positive impact on the world, particularly in the areas of healthcare, mobility, and security.

2. What is India's long-term vision regarding AI?

The country aspires to be self-sufficient in AI, to be the world leader in innovation, and to make the transformation from a tech outsourcing hub to a provider of first-rate AI products.

3. At what level does brain drain impact the Indian AI scenario?

The losses caused by brain drain include top AI specialists and engineers moving to other countries, which in turn adversely affects the Indian innovation ecosystem and slows down the overall technological progress.

4. Which actions can India take to counteract the brain drain in AI?

India can provide more research funding, promote closer collaboration between academia and industry, set up AI-centric fellowships, and offer competitive salaries to keep its brightest minds.

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

The linguistic and cultural diversity of India is a major focus of the AI projects, which aim to develop the multilingual capabilities of Indian languages and therefore be able to deliver AI that can cater to millions of users in local languages.

6. In what way would multilingual AI turn out to be a boon for India?

The technology would become more accessible due to multilingual AI, which would be a major help to rural areas, local enterprise, and government programs in communicating and operating effectively in their mother tongue.