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Editors Pick
There is a number that ought to keep every financial leader in the country awake not with worry, but with ambition. India's payment rails now move value at a scale that was unthinkable a decade ago. UPI alone settled over ₹314 lakh crore in FY 2025-26 and, in May 2026, cleared a record 23.2 billion transactions worth close to ₹30 lakh crore in a single month. Nearly one in every two real-time payments made anywhere on earth now runs through Indian infrastructure. When we ask the ₹100 trillion question, we are being conservative. The real stakes are larger, and they are growing every quarter.
So the question that defines this edition is not whether India can build financial systems at planetary scale. We have already done that. The question is whether artificial intelligence can make those systems simultaneously faster and safer or whether, as the old orthodoxy insists, we must always trade one for the other.
It is time to retire that orthodoxy.
The false binary
For a generation, financial leaders were taught that speed and safety sit on opposite ends of a see-saw. Approve a loan in seconds, and you invite default and fraud. Add controls, checks and human review, and slow everything to a crawl. Every CFO, every banking CIO, every risk officer has lived inside this trade-off, and most of the systems we run today were designed around it.
AI is quietly dissolving that trade-off. The reason is simple but profound: the same technology that accelerates a decision can also scrutinize it. In the old world, speed and safety competed for the same budget and the same minutes on the clock every extra check cost time, every saved second cost assurance. In the new world, they are increasingly two outputs of a single intelligent system, produced in the same instant. Speed is no longer bought at safety's expense. Both are engineered together.
The case for speed
Consider credit. Traditional underwriting was slow because it was manual, and manual because the data was thin. Today, models can read cash-flow patterns, GST filings, transaction histories and alternative signals in milliseconds, extending formal credit to first-time borrowers and small merchants who were once invisible to the system. Combined with the Account Aggregator framework and the wider India Stack, this is not incremental efficiency, it is financial inclusion at a scale no branch network could ever achieve.
The same logic runs through claims processing, customer onboarding, collections and reconciliation. The quarterly close, long the ritual bottleneck of corporate finance, is giving way to continuous, real-time visibility. Speed, in other words, is no longer a luxury reserved for the well-banked. It is becoming the default expectation of every customer and every counterparty.
The case for safety powered by the same engine
Here is the part the old orthodoxy missed. AI is not only the accelerator; it is also the safety layer.
Fraud is the clearest example. As digital payments have exploded, so has the surface area for abuse UPI-related fraud ran to lakhs of incidents worth hundreds of crores in a recent financial year. No human team can monitor 750 million daily transactions in real time. AI can. Machine-learning systems now flag anomalous behaviour in the moment a transaction fires, learning and adapting faster than any static rulebook. The fraudsters are using AI too, which is precisely why the defenders cannot afford not to.
This is an arms race, and intelligent systems are how the good actors stay ahead.
Return to that instant loan for a moment, because it is where the whole argument crystallises. The very same model that approves credit in seconds is, in the same breath, scoring the applicant for fraud signals, checking affordability, and screening against risk patterns no human reviewer could hold in their head. The speed and the safety are not sequential steps competing for time. They are a single computation. That is the shape of the future and it is already here.
Governance is the multiplier
None of this happens responsibly by accident. India's regulators have moved early and thoughtfully. The Reserve Bank of India's FREE-AI framework Framework for Responsible and Ethical Enablement of Artificial Intelligence, released in August 2025 set out guiding principles and a detailed set of recommendations spanning governance, transparency, cybersecurity and consumer protection. It insists that models be explainable, that consumers know when they are dealing with a machine, and that AI risk be managed with the same seriousness as any other systemic risk. Alongside the Digital Personal Data Protection Act, it gives institutions a clear runway to innovate with trust built in.
The framework also revealed an uncomfortable truth: RBI's own surveys found that only around a fifth of regulated entities were using AI of any kind, and much of that was basic rule-based automation. The gap between what is possible and what is deployed remains vast.
That gap is the opportunity and the mandate for every leader reading this. Technology is not the constraint. The will and the readiness to deploy it responsibly are.
India's structural advantage
What makes this moment distinctly Indian is the foundation beneath it. Digital Public Infrastructure UPI, Aadhaar-enabled identity, the Account Aggregator network, and the broader India Stack gives our institutions something most markets lack: a trusted, interoperable, population-scale substrate on which to layer intelligence. The India AI Mission is adding computer and model access to that base. Elsewhere, AI in finance is bolted onto fragmented legacy systems. Here, it can be built into rails designed from the outset for trust and scale. That is not a small edge. It may be the defining advantage of the decade, the reason global institutions increasingly study India not merely as a market, but as a model.
The answer
So, can AI make finance both faster and safer? The honest answer is that it will not do so automatically. It will do so for the institutions that treat governance as an enabler rather than an obstacle, that invest in explainability before they are forced to, and that see speed and safety as a single design goal rather than a bargain to be struck.
The ₹100 trillion question, then, is not really about technology. The technology is ready. It is about leadership about who chooses to build the faster, safer, fairer financial system that India is now uniquely positioned to deliver. The rails are laid. The intelligence is available. What remains is the will to use both, well.
