Rajat Khare’s Ideal for India’s AI Future
While India is on a journey to create its own large language model (LLM), Rajat Khare, the CEO and founder of Boundary Holding, stresses that the country needs to foster native AI talent very urgently. He thinks that India is right next to the global AI superpower award but on the condition that it can put an end to the draining of its brightest minds.
The Shift of Global AI to India
The whole world would be transitioning to a new tech-savvy era, and AI would be the driving force. India is the country that possesses all the right ingredients to be at the forefront of such a transformation with its enormous pool of engineers, data scientists, and IT professionals.
However, almost 15% of this talent is already located outside India, and that is about the same number as the total AI workforce in the world.
Khare argues that this situation holds back India’s growth:
“This wealth is not in the right place as far as India’s technological interests are concerned and that is primarily why,” Rajat Khare, who is a venture capitalist and the founder of Luxembourg-based deep-tech investment firm Boundary Holding, explains.
Why India’s AI Talent Keeps Leaving
Every year, thousands of highly skilled Indian professionals migrate abroad seeking better research facilities, higher pay, and global exposure. While this trend has historically fueled innovation abroad, it has also weakened India’s ability to build sustainable innovation ecosystems.
Rajat Khare argues that this challenge is not inevitable—it’s a policy and infrastructure gap that India can close by: Encouraging stronger academia-industry collaborations, Providing better funding for AI and deep-tech research, and Creating a rewarding environment for innovators and researchers.
“India’s tech talent pool is one of its most significant assets, but more and more of it is leaving for better returns,” Khare emphasizes.
The Rise of Indian AI
India’s digital infrastructure is evolving rapidly. The government’s initiative to build a homegrown large language model—backed by over 18,600 GPUs—marks a substantial step toward AI independence. Unlike Western AI models, India’s approach has a distinctive focus: multilingual intelligence.
With 22 official languages and hundreds of dialects, India is uniquely positioned to create culturally attuned AI systems that can serve diverse linguistic populations. This not only strengthens India’s domestic technology landscape but also gives it a global edge in developing inclusive AI solutions.
Steps India Must Take to Retain Talent
To retain the outflow of top AI talent and transform India into a global innovation hub, there are five actions that need to be taken in a large scale:
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Increase AI Research Funding
Along with more investments in AI research, more centers of excellence should be set up—especially in Tier-2 cities—to make the innovation process more wider and freer.
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Create Incentives to Stay
Hold AI fellowships, PhD scholarships and competitive pay structures for researchers as a part of the program.
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Support Deep-Tech Startups
Smoothen AI-driven by relaxing access to venture capital and mentoring network.
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Collaborate Globally
Invite overseas Indian scientists to remotely join national projects.
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Showcase India’s Ambition
Global AI Summit 2026 hosted in India can demonstrate the country’s leadership in determining the global AI agenda.
The Power of Multilingual AI
In the eyes of AI India ‘s greatest strength is not necessarily its vast computing resources but the cultural and linguistic diversity of the country. A model which is trained to capture and reply to the queries of the users in the languages of Hindi, Tamil, Bengali, Telugu, Marathi, and the rest—not just in grammatically correct but contextually appropriate way—can greatly revolutionize the penetration of AI in real human user base.
Such models can:
- Empower rural and small business users
- Enhance delivery of government services
- Make AI accessible to those not speaking English
- This renders Indian AI not merely commercially powerful but socially influential as well.
From Brain Drain to Brain Gain
India's technological role globally is changing—from being the source of tech labor to the creator of global innovation. The brain drain, which at first glance seemed unavoidable, is now seen as a challenge that can be overcome with the right policies, funding, and vision.
“The government has been quite supportive of AI,” Rajat Khare remarks. “However, the major aspect will be the talent retention and nurturing. This will, in turn, dictate whether we are the ones leading or just following.”
Way if India chooses to, by investing in its great minds giving the power to inventors and recognizing risk-takers, it would be able to lead the world in the AI revolution not just as a player but a front-runner.
Frequently Asked Questions (FAQs)
- What is the role of Boundary Holding in AI investment?
The co-founder of Boundary Holding Rajat Khare invests in AI and deep-tech startups that are based on real-world impacts and operating in health, mobility, and security sectors.
- What is the AI’s long-term aspiration of India?
India envisions a self-sufficient AI ecosystem, taking the lead in global innovation and transformation from a tech outsourcing center to a supplier of world-class AI products.
- What is the reason behind the brain drain problem for India’s AI industry?
Brain drain leads to the top AI researchers and engineers emigrating which not only deprives India of its talent pool but also causes a slowdown of innovation and technology.
- What are the measures that India can take to tackle the issue of brain drain in AI?
By providing increasing amounts of research funding, a better industry-academia collaboration, AI-targeted fellowships and top salaries, India can keep its finest minds.
- India’s AI initiative uniqueness lies in what aspect?
The multilingual capabilities Indian AI projects are based upon are a reflection of the country’s cultural and linguistic diversity—enabling AI that can serve millions in their local languages.
- What are the advantages of Multilingual AI to India?
Multilingual AI can be a technology that is not limited to few hands, thus, supporting rural populace, local industries, and civil service in their native languages through effective and efficient communication and operation.