Gabriel Perez, a longtime teleprompter operator for President Trump, allegedly bet on the content of the president's speeches using the Kalshi prediction platform [1].

The case raises significant questions about the security of presidential communications and the potential for staff to monetize insider information. Because teleprompter operators have direct access to the final text of a speech before it is delivered, they occupy a unique position of trust within the executive branch.

Federal regulators are now examining the activity. The U.S. Commodity Futures Trading Commission (CFTC) is handling the investigation into how Perez used the platform to place bets during public appearances in the months leading up to July 16 [1, 2].

Reports on the financial gains from these bets vary significantly. The New York Times said Perez earned approximately $100,000 [1], while AOL said the amount was more than $100,000 [2]. However, Yahoo News cited a much higher figure, stating the operator made over $165,105,336 [3].

Kalshi is a regulated prediction market where users trade on the outcome of real-world events. In this instance, the bets focused on specific phrases, or topics, that would appear in the president's remarks [1, 4].

This is not the first time prediction markets have faced scrutiny over insider trading. However, the proximity of the operator to the source of the information—the president's own words—creates a distinct legal and ethical challenge for the administration [3, 4].

“Gabriel Perez allegedly used the Kalshi prediction market to profit from insider knowledge”

This investigation highlights a modern vulnerability in government security where financial technology allows staff to gamble on non-public information. While traditional insider trading involves corporate stocks, the use of prediction markets for political events creates a gray area in regulation. The disparity in reported profits—ranging from $100,000 to over $165 million—suggests that the scale of the activity may be heavily contested or poorly understood by regulators at this stage.