200 Investors Lost Over a Crore to a Trump Deepfake Because No One Could Prove the Video Was Fake
What happened
In May 2025, more than 200 people in Karnataka, India lost a combined total of over two crore rupees to a fraud built around a single piece of fabricated video. The scam centered on a fake endorsement by Donald Trump promoting an investment scheme called "Trump Hotel Rentals." The video was AI-generated and convincing enough to pull in victims ranging from salaried professionals to government employees, none of whom had a reliable mechanism to verify whether the endorsement was real.
Fraudsters circulated the deepfake across YouTube, social media platforms, and a dedicated mobile app. The video used Trump's likeness and voice to promise daily returns of up to three percent, a figure no legitimate investment vehicle could sustain. The production quality was high enough to appear credible to viewers with no baseline for identifying AI-generated video in the wild, and the use of a globally recognizable public figure added a layer of apparent legitimacy that the fraudsters clearly calculated would hold.
The scheme operated on a classic escalation model. Entry was deliberately low, with initial deposits accepted at as little as 1,500 rupees, and the app displayed fabricated returns to reinforce the illusion of growth. Early investors received small actual payouts, which built enough confidence that they increased their positions and encouraged others around them to join. Some deposited more than five lakh rupees. When victims tried to withdraw larger sums, they were told to pay additional fees first, the standard exit-blocking move that marks the point at which the fraud becomes impossible to deny.
The victim profile cuts against the assumption that financial fraud only catches inexperienced investors. Professionals and government employees were among those who transferred money, a fact that reflects how effective the Trump likeness was as a credibility signal and how little friction existed between seeing the video and acting on it. The two-crore figure represents what was traced and reported; the number of people who encountered the video and were at least briefly tempted was almost certainly larger.
The core problem here is not gullibility. It is the absence of any mechanism that would let a viewer verify whether a video of a public figure is authentic before acting on what it claims. The deepfake circulated freely because no platform layer required it to carry a verifiable origin record. A system that produced a provable record of what a system generated at the point of publication, and tied that record to whoever distributed the content, would not have stopped the fraud from being attempted; it would have made the deception traceable and shortened the window before the first complaint became a usable chain of evidence.
Reported impact
- Affected parties
- Not publicly disclosed
- Harm type
- Not publicly disclosed
- Scale
- Not publicly disclosed
- Financial impact
- Not publicly disclosed
- Regulatory action
- Not publicly disclosed
Classification
Relevant governance controls
Governance control mapping is not available for this record.
- No controls mapped
Not publicly disclosed
Control mapping is analytical. It does not state that any control would have prevented the incident.
Sources and evidence
This record was researched and written by the Index. The event is also catalogued in the following database, which is listed for cross-reference.