SEBI Deploys AI Tools to Track Finfluencers as 62% of Investors Fall Under Their Sway

The Securities and Exchange Board of India has begun leaning on artificial intelligence to police one of the trickiest corners of the retail investing boom: the army of social media "finfluencers" whose stock tips reach millions of Indians every day. In its FY26 annual report released this week, SEBI Chairman Tuhin Kanta Pandey laid out how the regulator has built a new generation of AI-driven supervisory technology to track unsolicited financial advice online and flag accounts that may be misleading investors.

Why SEBI Is Turning to AI

The push comes on the back of an uncomfortable finding from SEBI's own investor survey: 62 percent of investors say they are influenced by finfluencers when making decisions, even though a large share of these commentators operate with no registration, no accountability and no verified track record. For a regulator whose core job is protecting retail investors, that gap between influence and oversight has become hard to ignore, especially as the number of first-time investors entering equity and derivatives markets has kept climbing.

Traditional enforcement, built around manual complaints and after-the-fact investigations, simply cannot keep pace with the volume of content being pushed out daily across YouTube, Instagram, Telegram and X. That mismatch is what pushed SEBI toward automated, AI-based monitoring.

Inside the New Toolkit

Two systems sit at the center of this effort. Project Sudarsan is designed to continuously scan social media for unsolicited financial advice and unauthorised investment tips, helping SEBI identify patterns of misconduct at a scale no human team could manage on its own. Alongside it, SEBI R(AI)DAR is an AI-enabled platform built specifically to review advertisements circulating in the market, checking claims made by intermediaries and content creators against what is actually permissible under securities law.

The regulator has also rolled out the Past Risk and Return Verification Agency, or PaRRVA, which SEBI describes as a step toward institutionalising performance claims. Instead of taking a trader's or advisor's word for their past returns, PaRRVA is meant to provide an independent digital audit trail, addressing a long-standing information gap where unverified performance claims have been used to lure retail money into risky strategies.

On the platform side, SEBI has struck a first-of-its-kind partnership with Google Play to introduce a verified app label for financial apps. The idea is to give investors a visible, trustworthy signal when they are browsing for stock trading or investment apps, making it harder for unregistered or fraudulent apps to masquerade as legitimate platforms.

A Broader Push on Market Integrity

Pandey framed the finfluencer crackdown as part of a wider theme running through the annual report: that markets can be as large, liquid and technologically advanced as they like, but they only hold up if investors trust that the system is fair. Alongside the AI surveillance tools, SEBI flagged continued action against market abuse more broadly, including pump-and-dump schemes, insider trading, front-running and corporate fraud, as well as steps to make the derivatives segment more orderly by reducing expiry-day concentration and tightening intraday position-limit monitoring.

Looking ahead, SEBI said it intends to keep simplifying compliance requirements while leaning further into technology, including a planned pilot on tokenising corporate bonds using distributed ledger technology and a broader effort to prepare its systems for quantum-era cybersecurity risks. For now, though, the AI-powered crackdown on finfluencers is likely to be the most visible change for the millions of retail investors who get their market advice from a phone screen rather than a registered advisor.

This article is an original editorial summary based on publicly reported information. It has been independently written for publication and does not reproduce content from any single source.