People all over the world are right in praising India’s digital payments story. India is today a leader in digital payments because the entire ecosystem was built on three things: trust, modernisation, and compliance. 

The trust was achieved through public digital networks like UPI; modernisation was brought about through the use of real-time, API-driven architectures; and compliance through regulatory frameworks ensured that billion of transactions go through seamlessly every single day.

Now, as India enters the era of AI in payments, the question that begs to be asked is: What does sovereignty mean in a world where artificial intelligence is becoming a key part of infrastructure?

This isn’t an academic question. AI will soon decide who receives credit, which transactions are reported, how fraud is discovered, how compliance is enforced and how customers are treated in financial systems. The models that make those judgments will be just as important as payment switches, settlement systems or technology platforms.

If India gives up control of that intelligence layer, we would be giving up a lot more than just software; we would be giving up the ability to make decisions about the economy and the law.

From payment rails to intelligence rails

India did it right when it came to digital payments: we established public infrastructure, set open standards and let private companies compete to come up with new ideas.

But AI is being made in a totally different way. A small number of multinational corporations now control most of the world’s most sophisticated AI models, cloud platforms and data pipelines. They learn from data that may not be accurate when it comes to Indian languages, Indian financial behaviour, Indian risk patterns or Indian regulatory rationales.

India would never agree to a payment system where transaction routes are offshore, regulations are unclear and compliance is outsourced.

Not accepting global technology doesn’t equal true AI sovereignty. It involves making sure that the intelligence layer that controls important systems is answerable to Indian law, Indian regulators and Indian economic interests.

Why payments is the most important sector for AI sovereignty

AI is quickly going from “helpful” to “decisive” by underwriting credit, preventing fraud, monitoring transactions, resolving disputes and engaging customers.

These systems will have more and more of an impact on who can use financial products and who can’t, who is blocked and what kind of transactions are allowed to go through.

Regulators lose sight of things, banks lose control and customers lose their options if these choices are made by black-box models that are taught, hosted and governed elsewhere.

India’s payment system was constructed with sovereignty, trust and compliance in mind from the start. AI needs to go the same way.

Sovereign AI does not mean AI owned by the state

Some people might think that sovereignty means AI that is produced or controlled by the government. However, that would not be useful or desirable.

India’s best feature has always been its paradigm of public-private digital partnerships. Some obvious examples are Aadhaar, UPI and ONDC. The same approach has to be taken with AI.

In this vein, sovereign AI means models that are trained on Indian data about finances, languages and behaviours. This data needs to be stored at places that are under Indian jurisdiction and auditable by Indian authorities. Such AI models that are built by Indian businesses, or International ones that follow the law of the land, will ensure that the decisions that are made are our own.

What this means for banks and payment businesses

For businesses in India, the AI question is no longer only about how accurate or cheap it is. It’s about being able to defend against regulations and being strong as a system.

Regulators will soon ask how an AI model makes choices, how it follows Indian financial regulations and rules and how a company makes sure that the data doesn’t leave Indian shores. They will ask if an AI system can be audited and corrected as required or not.

The AI systems that are able to meet these requirements will be the ones that will work for the greater good of the country.

The future of payments will depend on more than simply who has the greatest algorithms. It will also depend on who has AI systems that are built for trust, compliance and national scale.

The next step in India’s digital leadership

India showed the world that digital public infrastructure can be both new and independent. AI is the next step in that way of thinking. AI will be about transferring decisions safely, just like payments are about moving money safely.

The countries that have control over their decision-making systems will also have control over their economies. India has done this before with payments. Now it has to do it again with artificial intelligence.

If we do it right, India won’t just use AI; it will be an AI power based on trust, openness and independence.

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