A few months ago, I met a young man who had spent almost two weeks deciding whether to start a ₹2,000 monthly SIP. It wasn’t the amount holding his back. Every video he watched contradicted the last one, his friends had different opinions, and by the time he found a free hour to sit with an advisor, he’d already talked himself out of it once.
That says something about India’s financial habits that doesn’t get said enough. The assumption is usually that the country’s biggest financial problem is access that enough apps and simple onboarding screens will get people investing, insuring, and planning for retirement. The harder problem, in practice, is confidence.
Across income levels, people freeze at the same basic questions. Should I start now or wait? Is this health cover enough for my parents? Can I save anything once the home loan EMI is out of the way? None of these are complicated on paper. Asked for the first time, with no one to check your thinking against, they can feel enormous.
Financial confidence in India has mostly depended on whether you had someone to ask, a relative who understood markets, a friend who’d made the mistakes already, an advisor who knew your family well enough to give a straight answer. Most Indians have never had that person. That, more than any product gap, has kept families from acting on their own finances.
This is where artificial intelligence matters beyond the usual technology story. Used carefully, it has a real chance at making that confidence available to people who’ve never had access to it before.
That gap shows up in the numbers most of us already know. India has added crores of new demat accounts in recent years, yet a large share of household savings still sits in gold and low-yield instruments not out of a lack of options, but out of habit and hesitation. More often than not, confidence is the missing piece, not curiosity. “India isn’t short of financial technology. It is short of financial confidence and that’s the gap AI actually has a chance to close.”
What Actually Changes
Take language first. Financial advice in India has mostly lived in English or in an urban Hindi that doesn’t travel past the biggest cities. Someone in Bareilly asking a question in Hindi, or a shopkeeper in Madurai getting a Tamil explanation that reads like conversation rather than a policy clause that’s not small. Understanding what you’ve signed up for is most of what confidence is made of.
Patience matters too. A good advisor only has so many hours in a day and tends to spend more of them on bigger accounts. An AI-based assistant doesn’t get impatient answering the same SIP question for the fifth time. For many first-time investors, being able to ask a “basic” question without feeling judged is often what gets them to start.
AI can also help with something advisors rarely have time for: quiet, ongoing nudges. A reminder when a SIP has lapsed for two months, a note when a goal is falling behind schedule, a plain-language explanation of why a fund dipped last quarter. None of this replaces advice. It simply keeps someone from drifting away from a plan they had already believed in.
Then there’s a group this industry has struggled to serve: a delivery partner whose income swings monthly, a woman running a home-based tailoring business, a shopkeeper whose earnings follow the festival calendar. None fit the salary-slip model most financial systems were built around. AI that responsibly reads income patterns from transaction history, instead of demanding formal paperwork, is starting to bring these households into insurance and credit on fairer terms.
Underneath it all sits trust. Fraud and mis-selling have done more damage to how Indians feel about money than any market crash. AI-driven fraud detection working quietly in the background isn’t there to decide anything for the customer. It’s there to make sure no one else does.
Where I’d Stop Short
None of this means advisors should step back. A financial decision is rarely just a numbers problem. It’s tied to a parent’s illness, a daughter’s wedding, the quiet dread of retirement, a dinner-table argument about how much risk a family can stomach. A model can work out the “correct” asset allocation in milliseconds. It cannot sit with someone through the anxiety of actually making that choice, or notice a client saying “I’m comfortable with risk” in a voice that says otherwise. That remains a human skill.
Which is why the industry owes savers a few things as this technology spreads faster than regulation can keep pace. Every AI-assisted recommendation should be explainable in plain language, not a black box dressed up as a suggestion. Anything materially affecting a family’s financial security should still have a human in the loop, particularly for first-time investors and older customers. And the standards SEBI and IRDAI have tightened in recent years need to be followed in spirit, not just on paper. Convenience wins someone over for a week. Transparency keeps them for twenty years.“A model can work out the right asset allocation in milliseconds. It cannot sit with a family through the anxiety of actually making that decision.”
Where This Leaves Us
The more useful way to think about this technology is as a way of making advisors more available, not less necessary helping them walk into a first conversation better prepared, notice early when a portfolio has drifted from what a client actually wanted, and make sure language is never the reason someone doesn’t understand their own investment. Its job is to clear the mechanical work out of the way, so advisors can spend their time on judgment and empathy.
India’s AI decade won’t be remembered for whichever company built the most impressive model. It will be judged on something smaller: whether a homemaker in a tier-3 town feels comfortable enough, three years from now, to ask her first real financial question. Whether a gig worker without a payslip can get insured on fair terms. Whether fewer people sign forms they didn’t understand not because they stopped having questions, but because someone, or something, finally took the time to answer properly.
Regulators have already started building the guardrails for these sandbox frameworks that let institutions test AI-assisted advice under supervision before it reaches customers at scale. That kind of caution is a good sign, not a slow one. Technology that will eventually reach crores of first-time savers should earn their trust before it earns its scale.
The man I mentioned did eventually start his SIP. Not because software made the decision for him, but because he finally got the clarity he’d been chasing for two weeks.
That’s the real test for AI in Indian finance. Not whether it’s clever, but whether it earns the trust historically reserved for the few lucky enough to have someone to ask. If this decade manages that, it won’t be remembered as a technology story, but as the one that made financial confidence ordinary instead of a privilege.
Authored by Sanjiv Bajaj, Joint Chairman & Managing Director, Bajaj Capital Ltd.