Around 90% of Indians have encountered an AI-generated celebrity endorsement, and victims who fall for one lose roughly ₹34,500 on average, according to security firm McAfee. The deepfake scam economy is not only draining consumers — it is quietly strip-mining the trust that gives a celebrity or creator endorsement its entire value.
How widespread are deepfake celebrity endorsement scams in India?
Alarmingly widespread. As reported in coverage of McAfee's "Deepfake Deception" findings, roughly nine in ten Indians have been exposed to fake or AI-generated celebrity endorsements, and the most-exploited names read like an A-list: Shah Rukh Khan topped the list of impersonated figures, followed by Alia Bhatt, with fabricated pitches from Sachin Tendulkar, Virat Kohli and Ratan Tata circulating widely. Tens of thousands of investment scams were reported in India in a matter of months.
Why is a celebrity's endorsement value the real target?
Because the scam borrows something a fraudster cannot manufacture: earned trust. A cloned face and voice of a cricketer or finance figure lends a fake trading app the instant credibility that took the real person a career to build. Each fraudulent ad spends down that trust — and when audiences learn that "endorsements" from a star may be fake, the genuine endorsement deals that talent rely on lose value too. The scale and growth of this category is tracked in our India deepfake statistics.
What does a stolen endorsement cost the celebrity, beyond money?
It costs reputation, time and control of their own name. A public figure whose likeness is hijacked for a scam must publicly disown words they never said, field questions from misled fans, and sometimes pursue costly John Doe litigation after the damage is done. Worse, the association with a fraud lingers in search results and forwards long after any takedown. Building a clear, timestamped record of genuine channels and permitted uses is what lets talent respond fast; that register-first posture is the core of how the Zimorta model works.
Can detection keep up with the volume of scam ads?
Not on its own. Detection is reactive by design — a fake must already exist and spread before a classifier or fact-checker can flag it, and scammers simply re-upload a slightly altered copy the moment one is removed. The more durable defence flips the question from "is this fake?" to "is this the genuine, verified source?" If a celebrity's authentic likeness, voice and official channels are registered in advance, a platform or viewer can check a suspicious ad against a known baseline rather than guessing after the money is gone.
What should talent and creators do to defend their endorsement value?
Treat your endorsement as a priced, protected asset rather than an open resource. Register your likeness and voice, publish your verified official channels so fans have a reference point, and run continuous monitoring so a fresh scam is caught in hours. Quantifying what your endorsement is genuinely worth is part of defending it — our likeness rate calculator helps put a number on the value a scam is stealing, and the Zimorta platform turns registration and monitoring into an ongoing shield.
The bottom line
The ₹34,500 a scam victim loses is only the visible cost. The deeper damage is to the currency every celebrity and creator trades on — believable trust. Talent who register and monitor their likeness now are protecting not just consumers, but the future worth of their own name.
