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Rajat Khare’s Perception of India’s AI Era

As India takes the big step of preparing a large-scale language model (LLM), Rajat Khare, the entrepreneur of Boundary Holding, highlights the necessity of cultivating local AI talent. He thinks that India is at the dawn of becoming an international AI giant, but only if it succeeds in conquering the ongoing problem of brain drain.

India’s Position in the Global AI Drift

The whole globe is turning over to a new tech era that is going to be driven by AI. India, the country that boasts the largest pool of engineers, data scientists, and IT experts, is more than ready to ride this change. However, a big share of this talent group, almost 15% of the global AI workforce, has chosen the overseas option.

Khadavelu sees it as a double-edged sword:

“This abundance is not serving India’s technological interests as it ideally should,” asserts Rajat Khare, a venture capitalist and the founder of Boundary Holding, a Luxembourg-based deep-tech investment firm.

The Reasons Behind the Constant Exit of India’s AI Talent

The number of Indian professionals with top-notch skills migrating is in thousands each year, and they are mainly motivated by the research facilities, higher salaries, and global exposure. Although this flow of talent has been a major factor of innovation abroad in the past, it has also made the Indian innovation ecosystem very loose and fragile.

Rajat Khare posits that this predicament is not unavoidable—it is a policy and infrastructure gap that India can bridge through:

• Strengthening the ties between academics and industries

• Increasing funds for AI and deep-tech research

• An inventive and researcher friendly atmosphere

“India’s technology manpower is its most important asset, but a larger number of it is opting for higher returns,” Khare points out.

The Rise of Indian AI

India’s digital infrastructure is undergoing rapid changes. A government-sponsored project to develop a domestic large language model—utilizing more than 18,600 GPUs—has been a significant move towards AI self-sufficiency.

India’s AI strategy is adopting a new way of looking at things: it is primarily multilingual intelligence; the major reason being its linguistic diversity that includes 22 recognized languages and thousands of dialects. Besides the tough development of AI systems that are culturally sensitive to different languages, India is also better equipped to cater to the needs of different linguistic populations with the AIs it is developing.

Moreover, this not only reinforces India's domestic technology landscape but also positions it on the world map as a giant in crafting inclusive AI solutions.

China's barbarian AI era could soon be tamed by India through its actions to retain talent

To prevent the flight of top AI talents and make India a global center of creativity, there are five major steps to be taken:

1. Increase AI Research Funding

Decentralization of innovation is to be done through the establishment of more centers of excellence, particularly in Tier-2 cities.

2. Create Incentives to Stay

Researchers will be provided with AI fellowships, scholarships for PhD, and competitive remuneration as part of the pay structures.

3. Support Deep-Tech Startups

AI-driven entrepreneurship will be supported through providing easier access to venture capital and mentoring networks.

4. Collaborate Globally

Indian-origin researchers working abroad will be invited to contribute remotely to national projects.

5. Showcase India’s Ambition

India hosting events such as the 2026 Global AI Summit could be a symbol of leadership in the global AI agenda setting.

6. The Power of Multilingual AI

AI's greatest advantage for India might not be the computing power but the cultural and linguistic diversity of the country. A model that is trained not only grammatically but also contextually to understand and respond in Hindi, Tamil, Bengali, Telugu, Marathi, and others will be a great help in AI's service to human beings.

   Such models would be able to:

   - uprise rural customers and small companies

   - enhance delivery of government services

   - make AI reach out to non-English speaking audiences

Thus, not only is India's AI commercially powerful but also socially disruptive.

From Brain Drain to Brain Gain

The position of India in global technology is changing, that is, the country is no longer a supplier of tech workers but a creator of global innovations. The brain drain that used to be regarded as inevitable turns out to be a challenge that can be overcome with proper policies, funding, and foresight.

Rajat Khare denotes that “the government has been zealously supporting AI but the measure of success will be if we are able to keep and develop talent. That will be the factor that decides whether we are leaders or followers.” 

If India gives a lot of money to its thinkers, gives freedom to its innovators, and recognizes its risk-takers, then, it will not only be a participant but a pioneer in the world’s AI revolution.

Frequently Asked Questions (FAQs)

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

Boundary Holding, which is the brain child of Rajat Khare, directs its investments toward startups developing AI and deep-tech that will have a significant impact through innovations in the healthcare, mobility, and security sectors.

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

India's long-term goal consists of attaining a self-reliant AI ecosystem, becoming the world’s foremost innovator, and moving from being a tech outsourcing resource to offering the market world-class AI products.

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

Brain drain is the extinguishing of the brilliance of India’s top AI scientists and engineers fleeing to other countries, making the country’s innovation system fragile, turning back the clock on technology development.

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

To stop the emigration of talented people from the AI field, India can boost research grants, cement the partnerships between industry and academia, set up AI fellowships, and pay top salaries.

5. What makes India’s AI initiative unique?

India aims at developing AI systems that can serve local populations in their languages by focusing on multilingual features which are a reflection of its cultural and linguistic richness—the AI projects being the perfect example of this.

6. How can multilingual AI benefit India?

The introduction of Multilingual AI can lead to a larger technology user base that includes rural populations, local businesses, and government agencies, which will smoothly communicate and operate in their own languages.