White House teleprompter operator Gabriel Perez has been suspended following allegations he bet on the content of President Donald Trump's speeches [1].
The incident raises significant concerns regarding the security of privileged government information and the potential for insider trading within the executive branch. Because the operator has direct access to speech drafts before they are delivered, the ability to profit from that knowledge represents a breach of trust and potential legal violation.
Perez is currently under investigation for allegedly using the Kalshi prediction market to place bets on specific details of the president's remarks [2]. According to multiple reports, the operator may have earned as much as $100,000 [1], [3], [4], [5]. Another report cited the amount as $90,000 [2].
Federal investigators are now examining whether these actions constitute insider-trading violations [2]. The investigation focuses on how Perez accessed the content and the timing of the bets relative to the president's public appearances. The White House said it has not provided a timeline for when the suspension will be reviewed or if he will be fired.
Prediction markets like Kalshi allow users to trade on the outcome of real-world events, including political developments. While these markets are legal in various capacities, using non-public, government-sourced information to gain a financial advantage is a violation of federal ethics and law. The suspension of Perez marks one of the first high-profile instances of a White House staffer allegedly utilizing a prediction market for personal gain based on internal documents.
The White House said it has not released further details regarding the specific speeches involved in the betting activity. Perez remains suspended from his duties while the federal inquiry continues [1], [2].
“Gabriel Perez has been suspended following allegations he bet on the content of President Donald Trump's speeches”
This case highlights a new frontier of insider trading where traditional financial securities are replaced by prediction markets. As platforms like Kalshi gain popularity for forecasting political events, the risk of government employees monetizing 'privileged' knowledge increases. The outcome of this investigation will likely set a precedent for how the U.S. government monitors and penalizes the use of non-public information in the era of decentralized betting.
