Rajat Khare’s Dream for India’s AI Tomorrow

As India sets out to create its own big language model (LLM), Rajat Khare, the owner of Boundary Holding, points out the need for developing local AI talent. He thinks that India is already very close to being the world’s AI powerhouse but this can happen only if it is able to put an end to the ongoing problem of brain drain.

India’s Role in the Global AI Change

The entire world is getting into a new age of technology which is powered by artificial intelligence. India, with its vast pool of engineers, data scientists, and IT specialists, has all the right resources to take the lead in this switch. However, a large part of this talent—almost 15% of the global AI workforce—has migrated to other countries for better opportunities.

Khare states this mismatch as a constraint to India:

“This surplus is not benefiting India’s technology sector as much as it is supposed to,” Rajat Khare, a venture capitalist and the founder of Boundary Holding, a Luxembourg-based deep-tech investment company, states.

The Reasons Behind India’s AI Talent Exodus

Every year India loses on the average thousands of its best brains who go abroad in search of new, modern, and well-paid jobs in global research organizations. Although this trend has been a driving force for innovation in other countries, at the same time it has made it a lot harder for India to build its own innovation ecosystems and thus fostering the spread of innovation in the country.

The challenge that Rajat Khare discusses is not a foregone conclusion; it is rather a gap in policy and infrastructure—from which India can benefit by:

- Promoting cooperation between academic and industrial sectors...

- Allocating upgraded resources for AI and deep-tech research...

- Making an environment more attractive for innovators and researchers...

Khare says "India’s tech talent pool is one of its most considerable assets, however, more and more of it is migrating to other countries for better returns."

The Rise of Indian AI 

Digital India is flooring the gas pedal on its tech infrastructure, big time. The country’s attempt at AI independence which includes the development of a domestically trained large language model thought of as already powered by a whopping 18680 GPUs, is no less than a remarkable milestone.

Whereas, Western AI models are more technology based, India's is more human-centric and linguistically sensitive. It has 22 official languages and thousands of dialects spoken all over the country, therefore, it is the only place in the world capable of doing an AI that is culturally sensitive and hence, can serve linguistic communities, and so, it is an advantage for India in terms of the domestic technology landscape.

Steps India Must Take to Retain Talent 

In order to stop top AI talent from leaving and make India a global innovation hub, it is a must to perform five major actions:

1. Increase AI research funding

Establish more centers of excellence? Particularly in Tier-2 cities, decentralization of innovation occurs.

2. Create incentives to stay

Researchers' ranks to be boosted with AI fellowships, PhD scholarships, and competitive pay structures.

3. Support deep-tech startups

Mentoring and capital access to be made easy for tech start-ups to get on the AI driven entrepreneurship ladder.

4. Collaborate globally

Indian-origin scientists abroad to be lured into participating in remote part of national projects.

5. Showcase india's ambition

The global AI summit in India, 2026, is one instance of it—leading the world in the setting of the AI agenda.

The Power of Multilingual AI

India's best weapon in the AI battle could be the linguistic and cultural diversity of the country rather than the computing capacity. The languages model trained to comprehend and reply in Hindi, Tamil, Bengali, Telugu, Marathi, etc., not only grammatically but also contextually, is going to be a game-changer for AI in serving real people.

Such models can:

- Empower rural users and small businesses

- Improve government service delivery

- Make AI accessible beyond English-speaking audiences

This brings about an AI that is not only commercially powerful in India but also socially transformative.

From Brain Drain to Brain Gain

India’s position in the global tech scene is changing—from supplying tech brains to being the source of global innovation. The migration of skilled workers that once seemed destined to happen now looks more like a challenge which can be overcome with good policy, funding, and vision.

"The government has been putting a lot of effort into promoting AI," says Rajat Khare, "but the actual test will be retaining and nurturing the talent we have. That will eventually determine whether we are leaders or followers."

India's massive deep investment in thinkers, innovators, and risk-takers can take it to the top of the world’s AI apocalypse, not as a mere participant, but as a pioneer.

Frequently Asked Questions (FAQs)

Q1. What is Boundary Holding’s role in AI investment?

Boundary Holding, established by Rajat Khare, puts money into startups that are involved with deep-tech and AI and thus making an impact on the world's healthcare, mobility, and security sectors.

Q2. What is India’s long-term goal in AI?

India plans not only to be a self-sufficient AI ecosystem but also to take the initiative in global innovation while transforming itself from a tech outsourcing hub to a supplier of top-class AI products.

Q3. Why is brain drain a problem for India’s AI sector?

The migration of Indian talents abroad results in the loss of India’s premier AI research and development resources and thus the weakening of its innovation ecosystem that is gradually slowing the country down in terms of technological progress.

Q4. What steps can India take to stop brain drain in AI?

In order to retain its top talents, the Indian government may use some of the following methods: research funding increase, industrial-academic collaboration strengthening, establishment of AI-oriented fellowships, and provision of attractive salaries.

Q5. What makes India’s AI initiative unique?

India's AI projects are characterized by an emphasis on multilingualism that portrays the country's cultural and linguistic diversity that thus allows for the creation of AI systems capable of serving millions in local languages.

Q6. How can multilingual AI benefit India?

Multilingual AI can turn technology into an inclusive ally that would facilitate communication and, therefore, the efficiency of operations in rural areas, local businesses, and government programs through the use of their mother tongues.