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ESSEA Explainer

India’s Unique Approach to AI: Opportunities and Challenges



bangalore skyline trees
The skyline of Bangalore, or Bengaluru, India's Sillicon Valley

India stands at a pivotal moment in artificial intelligence (AI) development, with the potential to chart a path distinct from global tech giants like the United States and China. Despite its vast population and growing digital economy, India faces unique challenges—particularly linguistic diversity and data limitations—that make its AI journey both complex and transformative.


The Language Barrier: A Major Challenge


India is a country of many languages. While Hindi is the second most widely spoken language in the world after English and Mandarin, it represents only a tiny fraction of the freely accessible content on the internet. More than 60 other languages spoken by millions across India remain vastly underrepresented online. This scarcity of data in local languages presents a significant hurdle for developing generative AI models, which depend on vast quantities of training data to function effectively.


Unlike China and the U.S., where data is more abundant and accessible, India is essentially building its own AI foundation from the ground up. Initiatives like ai4Bharat, a research lab based in Chennai, and Bhashini, a government-backed project, are working to address this challenge by manually collecting voice recordings in multiple languages and developing translation systems.


Tailoring AI to India's Needs


India’s approach to AI focuses on practical applications that address the country’s immediate socio-economic challenges. Instead of aiming for global dominance in AI innovation, the country is leveraging the technology to solve specific issues in areas such as governance, education, healthcare, and legal systems.


For instance, Indian AI solutions are likely to be voice-first, catering to a population that primarily consumes digital content through audiovisual means. Chatbots designed for local languages can simplify interactions between citizens and the state, making it easier to access services and complete paperwork without intermediaries. Similarly, AI systems could help automate complex compliance tasks, reducing bureaucracy and streamlining business processes.


In education and healthcare, AI could bridge critical gaps. Personalized, AI-driven tutoring systems could address the country’s learning crisis, where a significant portion of students struggle to meet basic reading levels. In healthcare, AI-powered diagnostics and administrative tools could help overburdened doctors serve more patients, especially in rural areas.


Overcoming Infrastructure Challenges


Building sophisticated AI systems requires substantial computational power, which is typically delivered through specialized chips. India’s government has committed to acquiring 10,000 such chips to support AI research and development, but concerns remain about the effective allocation of these resources. Additionally, India faces limitations in skilled AI professionals, with many top researchers choosing to work abroad.


However, Indian innovators are looking for ways to overcome these challenges by focusing on frugality and efficiency. Open-source models, such as Meta’s Llama, provide a solid foundation upon which local developers can build tailored solutions. By adapting existing AI models to local needs, Indian startups like Sarvam AI are making strides in creating cost-effective, scalable AI systems.


The Future of AI in India: Global Implications


India’s journey in AI development offers valuable lessons for other developing nations. By focusing on solving basic, yet critical, problems—such as access to services, healthcare, and education—India is positioning itself to lead in the development of AI technologies tailored to emerging markets. The success of India’s digital public infrastructure, including its homegrown digital payments system UPI, has shown that India can create scalable, world-class technology solutions. AI could be the next frontier.


As India continues to invest in AI, it may emerge as a hub for AI-driven companies and solutions that address challenges unique to developing countries. This could extend the reach of AI beyond the tech-dominant West, fostering innovation in regions that need it most.

India’s AI story is just beginning. As the country refines its strategies and solutions, businesses and governments worldwide can learn from India’s approach to applying AI for real-world impact.


Contact ESSEA Foresight today to explore how India’s AI advancements can offer new opportunities for your organization across Asia’s rapidly evolving markets.

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