Insider Betting Scandal Puts White House Access and Prediction Markets Under Scrutiny

Gabriel Perez will pay more than $172,000 and lose trading access for using advance knowledge of Trump speeches to bet on Kalshi. The case highlights both a breach of public trust and the prediction market’s vulnerability to privileged information.
Insider Betting Scandal Puts White House Access and Prediction Markets Under Scrutiny

Insider Betting Scandal Puts White House Access and Prediction Markets Under Scrutiny
A former White House teleprompter operator’s lucrative bets on President Donald Trump’s speeches have ended with a six-figure settlement, but the case raises a broader question: can prediction markets prevent insiders from turning privileged access into private profit?

Gabriel Perez agreed to repay $107,539.02 in winnings and pay a $65,000 civil penalty, bringing the total to more than $172,000. The Commodity Futures Trading Commission also imposed a three-year trading ban. The agency said Perez used advance access to presidential speeches between December 2025 and February 2026 to bet on words and phrases Trump would use.

The more institutionally critical account focuses on the breach of trust. The CFTC said Perez “misappropriated that information — in breach of his duty of trust and confidence,” while White House officials had already warned aides not to use nonpublic information on prediction markets. The White House later called the conduct “unfortunate” and “a disgrace.”

The conservative account emphasizes the settlement’s terms and the agency’s view that Perez cooperated. The CFTC described the penalty as a “substantial discount” because of his “exemplary cooperation,” framing the case as a resolved enforcement action rather than evidence of a wider political scandal.

Both accounts agree that Perez exploited his role to make bets on Trump’s words and that the profits must be surrendered. Their difference lies in emphasis: one presents the episode as a warning about public-service ethics and weak points in market surveillance; the other underscores the swift financial penalty and cooperation that brought the matter to a close. Kalshi’s surveillance systems reportedly detected unusual trading, froze Perez’s account and referred the matter to the CFTC, suggesting the platform’s controls worked—but only after the trades had been placed.

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