SEBI Cracks Down on Misleading Financial Advice with AI, Targets Unregistered Influencers

March 2, 2026
SEBI Cracks Down on Misleading Financial Advice with AI, Targets Unregistered Influencers
  • SEBI differentiates legitimate financial education from misleading investment advice and asserts its authority to remove harmful content with cooperation from social media platforms.

  • The regulator uses an AI tool named Sudarshan to monitor violations across multilingual audio and video content.

  • SEBI has removed over 120,000 misleading posts by unregistered financial influencers and continues to deploy AI tools to track violations in the digital space.

  • The statements were provided to ANI on March 2, 2026, with the latest reporting timestamp noted.

  • SEBI chairman Tuhin Kanta Pandey spoke with ANI in an interview, with Financial Express cited in the report.

  • Finance Minister Nirmala Sitharaman criticized derivatives trading by retail investors and signaled regulatory measures in the budget, including a higher Securities Transaction Tax to curb excessive speculation.

  • Pandey emphasized the deployment of AI to monitor the digital space and identify violations.

  • SEBI’s approach is calibrated, aiming to regulate without overreach, likening market intervention to a surgeon’s knife rather than a sledgehammer.

  • Pandey highlighted reforms over the past year and the objective of optimal regulation balancing market development with investor protection.

  • Regulation is characterized as a careful, surgical process, with the past year described as a year of reform toward optimal regulation without excessive or insufficient oversight.

  • Post-COVID, social media narratives influenced retail participation in derivatives and options trading, contributing to losses, with data-backed warnings that 9 out of 10 option traders lose money.

  • SEBI issued data-backed measures and investor warnings, including cigarette-warning-like notices via pop-ups that 9 out of 10 investors lose money when trading options.

Summary based on 12 sources


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