AI for India

India has suddenly become the centre of global attention in artificial intelligence, not for producing the next OpenAI or DeepSeek, but for the sheer scale of opportunity it represents. Recent commitments by major tech players to invest tens of billions of dollars into India’s AI ecosystem signal more than corporate ambition ~ they underscore the country’s strategic importance in a world increasingly defined by AI capabilities. Yet these investments also raise a pressing question: can India keep pace in the global AI race, or will it chart a different path that leverages its unique strengths? The country possesses one undeniable advantage: human capital.

India produces a high concentration of AI-skilled professionals, with a developer base 2.5 times the global average. Indian engineers and data scientists are actively contributing to research, publications, and start-ups, often punching above their economic weight. Despite these strengths, India’s AI ambitions are constrained by systemic limitations. Computational infrastructure is still sparse, semiconductor access is limited, and the scale of public and private R&D investment pales in comparison with the United States and China. Even the government’s sovereign AI mission, though commendable in its intent, represents a fraction of the resources committed by nations that aim to dominate the field. But focusing solely on building large foundational models may miss India’s real opportunity. Unlike markets where the primary goal is technological prestige or dominance, India can harness AI to solve pressing social and economic problems. Already, AI-driven applications are reshaping the everyday lives of millions.

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Tools delivering agricultural guidance in regional languages, platforms improving access to healthcare, and localised educational solutions illustrate how AI can create tangible impact. In these contexts, India does not need to outspend the global giants; it only needs to innovate in ways that are culturally and socially relevant. The challenge lies in creating an environment that retains talent, fosters entrepreneurship, and builds the infrastructure necessary to scale solutions nationally and globally. Visa restrictions abroad and the mobility of AI professionals present an opportunity: India could become a magnet for domestic and diaspora talent, but only if policy, incentives, and research opportunities are aligned.

The downstream potential ~ AI-powered start-ups, consumer applications, and sector-specific solutions ~ may well define India’s comparative advantage in the coming decade. India’s AI journey is therefore unlikely to mirror that of the US or China. It will not be about owning the biggest models or commanding the most computing power, but about embedding intelligence into the real-world problems that matter most. If India can play this role effectively, it may not just keep pace in the AI age ~ it could redefine what it means to leverage technology for inclusive growth, demonstrating that innovation is not only about scale, but also about relevance.