India Requires a National AI Initiative to Capitalize on the Emerging $1 Trillion Global Artificial Intelligence Market

India's External Account in the Era of AI: A Growing Dependence

India's external account has long been sustained by a services surplus, which has consistently offset the country's merchandise trade deficit. In FY26, this surplus reached a historic high of $213.9 billion, up 13.3% year-on-year. The services surplus has been a critical component of India's trade balance, covering the cost of imports such as crude oil and gold.

However, a new variable is emerging that could challenge this balance: the rising cost of AI inference. The global AI economy is growing rapidly, with revenue across the stack increasing fivefold in two years, from $90 billion in Q1 2024 to $435 billion in Q1 2026. This growth is driven by the increasing adoption of AI in various industries, with India being a significant player in this trend.

The Services Surplus: A Fundamental Rebalancing

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India's services surplus is built on the back of exports, which crossed $400 billion for the first time in FY26, reaching $418.3 billion. This surplus accounts for 64.2% of India's merchandise trade deficit and has risen to 48.6% of total exports, up from 47% in FY25. This rebalancing of the trade balance has significant implications for India's economy, including a potential shift towards a net export surplus within two to three years.

The AI Token Economy: A Growing Dollar Cost

The AI token economy is a new dollar-denominated input cost that is forming inside the services engine that balances India's external account. The velocity of this cost is exponential, with the apps and models layer growing twelve times in two years, the steepest growth rate of any layer. India's position in the global demand picture is disproportionate, with over 80% of Indian employees using AI at work on a regular basis.

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The Need for a National Inference Mission

India has made significant progress in building the chip and infrastructure layers, with 13 semiconductor projects approved across seven states and hyperscale cloud and AI infrastructure expanding rapidly. However, the inference layer that runs on top of this must now be built in parallel and urgently, not after.

A multi-pronged National Inference Mission is the answer, with three priorities deserving immediate attention:

1. Designate national champions and direct incentives at the three layers, not just at chip procurement.
2. Enhance IndiaAI grant transmission beyond general models and into vertical AI models and production use cases.
3. Establish a $5 billion AI Fund to back indigenous LLMs, small language models, AI applications, and local inference development.

By 2029, India should be a net exporter of AI value to the world, not a net importer of inference from it. The services surplus that has carried India's external account for two decades must be enhanced by this next move.