NPCI CEO Dilip Asbe says AI can push UPI past 1B daily transactions

India’s Unified Payment Interface (UPI) is already doing something most payment systems only dream about: it runs at over 750 million daily transactions. And now the person who oversees the rails that make that possible says the next goal, a billion daily transactions, is not just about volume. Dilip Asbe, MD and CEO of the National Payments Corporation of India (NPCI), told TechCrunch at Mumbai Tech Week that AI could drive the next half, meaning the path from current scale to the 1 billion mark.

That matters because UPI is not a “nice to have” app in India. It is the connective tissue of retail payments, and transaction growth at this magnitude does not just mean more convenience. It changes the operational expectations for uptime, fraud detection, risk controls, routing efficiency, customer support, and how quickly the system can adapt to new usage patterns. If AI is going to play a central role in reaching 1 billion daily transactions, then the bottleneck is likely to shift from “Can we process transactions?” to “Can we keep the entire ecosystem safe and fast as usage explodes?”

To understand why that’s a big deal, you have to understand what kind of system UPI is. UPI is designed to move money between participants through a unified interface, which means it has to work across many banks, apps, merchants, and user behaviors. When a platform grows from hundreds of millions to a billion-plus transactions per day, small inefficiencies start to compound. A feature that saves a fraction of a second per transaction becomes a massive reduction in total time, while a risk-control approach that is adequate at smaller volumes may struggle under higher fraud volumes or more adversarial behavior.

NPCI sits at the center of this ecosystem. Asbe’s role as MD and CEO of NPCI gives him a platform view of what’s happening across participants and the constraints that come with running critical payment infrastructure. His comment to TechCrunch at Mumbai Tech Week frames AI not as a marketing add-on, but as an operational and growth enabler. The wording in the report emphasizes AI’s role in driving the next “half” toward the billion, which implies a deliberate focus on the next stage of scaling rather than resting on already-achieved momentum.

Another way to read this is through incentives. AI can help in ways that are invisible to most users but decisive for infrastructure operators. At scale, AI can improve detection of suspicious patterns, reduce false positives that frustrate legitimate users, and help triage support and dispute flows. It can also assist with demand forecasting and capacity planning, which becomes harder when transaction behavior changes rapidly across holidays, promotions, and new merchant categories. For boards and executives overseeing digital payments or financial infrastructure, the second-order question is: if NPCI expects AI to drive growth, what does that set as the benchmark for performance and reliability across the ecosystem?

There is also the regulatory and governance angle. Payments infrastructure in India operates under a framework that expects safety, resilience, and compliance. When industry leaders point to AI as a central lever for scaling, regulators and operators both face the hard work of ensuring that AI systems can be audited, monitored, and held to consistent risk standards. That does not necessarily mean regulation is changing tomorrow, but it does mean execution will get more complex. Boards will want clarity on how AI decisions are tested, how model drift is handled, and how controls are maintained as transaction patterns evolve.

For competitors, partners, and adjacent tech providers, Asbe’s remark signals direction. UPI’s growth rate and scale already attract attention from financial institutions, consumer apps, fintechs, and payments enablers. If AI becomes a core ingredient in reaching 1 billion daily transactions, then the winners will likely be the players that can integrate responsibly with the operational realities of payment rails, not just build features that look good in a demo. That could raise the bar for data pipelines, real-time systems, fraud tooling, and monitoring.

So the strategic stakes are straightforward. For executives tracking India’s payments race, this is not just a prediction about the future of one product. It is a signal that the infrastructure operator responsible for UPI believes AI will be the tool to get from today’s scale, more than 750 million daily transactions, to a billion. And when the operator at the center of the system tells you where the lever is, the rest of the ecosystem has to decide whether it is investing in the same capabilities now, or risking being outpaced when volume, risk, and performance demands all rise together.