India is in the middle of an important transition in the field of artificial intelligence (AI). Because it has many tech workers, advanced IT systems and a more welcoming environment for investors, the nation is set to lead in AI. However, the country faces a huge problem because its best-educated people are moving to leading technological cities globally. As an venture capitalist for deep technology, Rajat Khare says this issue of losing skilled individuals to other countries must stop if India wants to excel in AI.
The Brain Drain Challenge
Thousands of Indian engineers, data scientists and AI researchers move to foreign companies every year to find better work. Roughly 15% of the world’s AI experts come from India which makes their departure notable. It means that the nation is missing opportunities to innovate. Rajat Khare, founder of Boundary Holding and a venture capitalist, has discussed this subject openly. Sir says this rise in abundance is not helping India achieve its technological ambitions as expected. In Khare’s view, lifting up India’s native AI scientists and engineers should be a major national priority.
India's Technological Landscape- A Growing Foundation
Strong AI goals in India are being achieved through the fast development of their digital world. Transformations like Digital India and building up computing infrastructure show how the government is embracing AI. Most importantly, India is designing its own large language model (LLM) meant to compete with well-known LLMs such as ChatGPT built by OpenAI. Thanks to 18,600 GPUs, this project can provide the high-performance computing required for a top AI setup. However, India’s way is not like that of other jurisdictions. Unlike the models from the West which cater to English-speaking people, India has made it a priority to build AI that can participate in 22 official languages and many more dialects. Having cultural and linguistic diversity in AI may revolutionize not only domestic but also worldwide AI implementation.
Rajat Khare- Deep-Tech Visionary and Investor
For a long time, Rajat Khare has worked to ensure that people are independent in the use of technology. Thanks to his IIT Delhi background, one can see that his actions as an investor show a committed interest in blending university and business sectors. With Boundary Holding, he has put money into starting up new companies in AI, robotics and various deep-tech areas in Europe and Asia.
His trust in India comes from having a realistic view of global movements, besides being positive. The Indian economy is expected to hit $10 trillion soon. Because of this, the opportunities in India will face global competition, Khare states. He believes that in order for India to succeed in AI, it needs to solve the challenges that cause Indian AI experts to relocate. Problems include not enough financing, poor collaboration between universities and industry and little reason for leading researchers to remain in India.
Why Indian Talent Still Leaves
Even though AI is strong in India, it faces difficulties in keeping its AI experts. Confirming public funds for research and development is not as ample as those used by the U.S. or China. Research discoveries often do not reach businesses because academia and industry do not usually cooperate. You can expect compensation in Indian research labs and startups to be much below average when measuring it with opportunities internationally. He stresses that India's highly skilled IT workforce is a big asset, but many people are quitting for opportunities elsewhere. He feels that to stop this trend, the country needs changes in policy, investments from companies and improved schools.
Strategic Steps for Retaining AI Talent
To transform India into a magnet for innovation, Khare and other thought leaders suggest several strategic actions:
1. Increased AI Research Funding
India must establish more AI centers of excellence, not just in metropolitan areas but in tier-2 and tier-3 cities. This decentralized approach can unlock local talent and distribute innovation more equitably across the country.
2. Attractive Incentives for Researchers
Providing AI fellowships, PhD scholarships, and global-level salaries can make staying in India a competitive option. Offering grants for post-doctoral research and startup incubation can also encourage entrepreneurial endeavors among academics.
3. Strengthen Industry-Academia Collaboration
Rajat Khare believes that seamless collaboration between industry and academia is essential for converting research into real-world applications. Universities should work closely with tech companies to ensure their curriculum and projects remain relevant to industry needs.
4. Support for Deep-Tech Startups
Startups are the engines of innovation. By offering easier access to capital, regulatory support, and mentorship, India can nurture a vibrant deep-tech ecosystem. Khare has demonstrated this model through Boundary Holding by investing in startups that offer AI-based solutions for diverse sectors such as defense, healthcare, and logistics.
5. Global Collaboration with the Indian Diaspora
India can tap into its vast diaspora by inviting Indian-origin researchers working abroad to contribute to national projects, even remotely. Building international linkages will not only bring global expertise to domestic initiatives but also position India as a key player in global AI discourse.
6. Showcase India’s AI Ambition
Hosting events like the 2026 Global AI Summit in India will put the nation on the global map. It is an opportunity to showcase the country’s capabilities, attract foreign investment, and set the agenda for responsible and inclusive AI development.
A Multilingual Edge
What marks India out in AI is how many languages are spoken there. A genuine Indian AI should not only understand but respond and think in every major Indian language such as Hindi, Tamil, Bengali, Telugu, Marathi and others. It makes it possible for applications that benefit rural areas, local companies and government schemes to be developed. With such a model, people in local areas can use education, agriculture and healthcare resources available in their language. Thus, AI helps with development as well as commercial use. Adopting an inclusive way makes it possible for AI to help people at the community level and have a positive impact on society and the economy.
The Role of Policy and Governance
The vision should influence the policies the government passes. Key actions are writing AI regulations, promoting cooperation and spending on digital technologies. The National AI Mission has provided a framework, even so, it should be implemented more quickly.
Also, establishing ethics in AI, preserving privacy of data and dealing with bias should be important elements in making policies. When government actions focus on the future, users and investors may feel confident.
The Torchbearer of India’s Deep-Tech Renaissance
Because of his success and support for deep-tech, Rajat Khare is considered an important leader in India’s AI movement. Many of his investments are made based on his view that technology helps solve important issues. IIT Delhi, where he received his education, also helped him grow as a leader and has been a strong supporter of talent and research which he continues to encourage. Supporting efforts to prevent people leaving, promoting AI and assisting with deep-tech startups allow Khare to help foster an innovative environment. He connects what is planned with what can actually be carried out, the broad ideas of policy with how they are put into action and global ideas with local uses.
Turning Potential into Progress
There is the skill, the necessary infrastructure and strong ambition in India. At this point, governments, businesses and communities all need to act together. Investors from Rajat Khare, institutions like IIT Delhi and startups from tier-2 cities can grow the country’s AI sector. India can do this by supporting people, promoting innovation and preserving its multilingual and multicultural background. Khare remarks, “India’sbusiness environment will measure up to any international standard.” What it really requires is believing in a vision and working hard to make it happen.
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