Description: A purported AI-manipulated video reportedly depicted Indian Finance Minister Nirmala Sitharaman endorsing an investment platform that claimed a ₹22,000 deposit could generate returns of up to ₹25 lakh per month. Genuine webinar footage was reportedly altered with synthetic audio and added text, and the advertisement circulated under the name "Trust India." Available evidence did not identify the perpetrators or establish whether viewers invested money or suffered financial losses.
Editor Notes: Timeline notes: The incident date is 06/30/2025; this incident ID was created on 06/24/2026. For a later variant already documented in the AIID, see Incident 1454: Purported Deepfake Video Reportedly Portrayed Nirmala Sitharaman Endorsing Investment Scheme.
Entities
View all entitiesAlleged: Synthetic video generation technology developers , Synthetic media generation technology developers , Synthetic audio generation technology developers and Deepfake technology developers developed an AI system deployed by Scammers in India , Scammers impersonating Nirmala Sitharaman , Scammers and Investment scam operators, which harmed Victims of investment scams , Victims of impersonation scams , Social media users , Nirmala Sitharaman , General public of India , General public and Epistemic integrity.
Alleged implicated AI systems: Synthetic video generation technology , Synthetic media generation technology , Synthetic audio generation technology , Social media platforms , Fake investment platforms and Deepfake technology
Incident Stats
Incident ID
1553
Report Count
1
Incident Date
2025-06-30
Editors
Daniel Atherton
Incident Reports
Reports Timeline
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Executive Summary:
A video circulating on social media falsely claims that India's Finance Minister, Smt. Nirmala Sitharaman, has endorsed an investment platform promising unusually high returns. Upon investigation, it was confirmed that …
Variants
A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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