Trump Teleprompter Operator Accused Over Kalshi Bets Leaves Government: AP
Gabriel Perez, a former White House teleprompter operator, is no longer a federal employee after being accused of using inside information to profit from Kalshi prediction market bets.
Intelligence analysis by Gemini 2.5 Flash

A White House teleprompter operator, Gabriel Perez, has left government service following allegations he used nonpublic information to make over $100,000 on Kalshi prediction markets tied to President Trump's speeches. Kalshi's surveillance team detected the suspicious activity and referred the matter to the US Commodity Futures Trading Commission.
Imagine a game where you guess what a famous person will say, and if you're right, you win money. A person who helped that famous person prepare their speeches was caught playing this game, but they knew what was going to be said beforehand, which is like cheating. Now, they don't work for the government anymore.
Analysis
The Allegations and Departure
Gabriel Perez, formerly a White House teleprompter operator, has ceased his employment with the federal government following serious accusations of insider trading on prediction markets. The Associated Press reported his departure, which came after he was placed on unpaid leave earlier in the month. Perez was specifically accused of leveraging nonpublic information, gained through his government position, to place bets on Kalshi prediction markets. These bets were reportedly linked to the content and timing of President Donald Trump's speeches, allowing him to allegedly accrue profits exceeding $100,000. This incident raises significant questions about the ethical conduct of government employees and the potential vulnerabilities within emerging financial platforms.
Kalshi's Role in Detection
A crucial aspect of this case is the role played by Kalshi, the prediction market platform itself. According to reports, it was Kalshi's internal surveillance team that first identified the suspicious trading patterns associated with Perez's account. This proactive detection mechanism is vital for maintaining the integrity of such platforms, especially given the novel nature of prediction markets. Upon discovering the alleged misuse of information, Kalshi promptly referred the matter to the U.S. Commodity Futures Trading Commission (CFTC). The platform explicitly prohibits users from engaging in trading activities based on information acquired through their employment, a rule that Perez is accused of violating. This demonstrates a commitment by Kalshi to enforce its terms of service and cooperate with regulatory bodies.
Implications for Prediction Markets and Ethics
This incident underscores the ongoing challenges and regulatory scrutiny faced by prediction markets. While these platforms offer unique ways for individuals to bet on future events, they also present potential avenues for unethical behavior, particularly insider trading, if not properly monitored. The swift action by Kalshi and the subsequent departure of Perez from government service highlight the importance of robust compliance frameworks and surveillance technologies within these markets. For the broader landscape of digital finance and emerging market structures, this case serves as a reminder that transparency, ethical conduct, and stringent regulatory oversight are paramount to fostering trust and ensuring fair play, especially when public officials are involved. It also brings into focus the intersection of government ethics and novel financial instruments, prompting further discussion on how to prevent similar abuses in the future.
Key points
- Gabriel Perez, a former White House teleprompter operator, is no longer a federal employee.
- He was accused of using inside information to profit from Kalshi prediction market bets.
- The bets were tied to President Donald Trump's speeches, allegedly yielding over $100,000.
- Kalshi's surveillance team detected the suspicious trading and referred it to the CFTC.
- Kalshi's platform prohibits users from trading on information obtained through their employment.



