A White House teleprompter operator who allegedly used inside knowledge to profit from bets on Donald Trump’s speeches has been removed from his position, according to an anonymous White House official. Gabriel Perez, who had operated the teleprompter for President Trump since 2016, “no longer works in the federal government,” the official stated, declining to specify whether he resigned or was fired. The incident has reignited debate over insider trading in the rapidly growing world of online prediction markets.
How the Insider Betting Scheme Worked
The scandal centers on Kalshi, a regulated prediction market where users bet on everything from election outcomes to specific phrases used in public speeches. According to an ABC News report, Perez used his advance knowledge of Trump’s remarks—including the 2025 State of the Union address—to win more than $100,000 on Kalshi’s “Mentions” market. This sum exceeds half of his $175,000 annual salary, as confirmed by White House personnel records.
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Kalshi’s Surveillance System Caught the Trades
Robert Denault, Kalshi’s lawyer and head of enforcement, revealed on X that the platform’s surveillance team “promptly flagged, investigated and referred these trades” to the U.S. Commodity Futures Trading Commission (CFTC). Kalshi recently began requiring users to disclose their place of employment and explicitly prohibits betting based on job-related inside information. The company’s proactive monitoring helped expose the misconduct.
Comparison: Traditional Insider Trading vs. Prediction Market Insider Betting
| Aspect | Traditional Securities Insider Trading | Prediction Market Insider Betting |
|---|---|---|
| Regulated by | SEC | CFTC |
| Underlying asset | Stocks, bonds | Event contracts (e.g., speech phrases) |
| Common penalties | Fines, prison time | Account suspension, referral to CFTC |
| Public awareness | High | Growing rapidly |
| Insider definition | Corporate officers, employees | Any user with non-public info |
White House Response and Broader Implications
White House press secretary Karoline Leavitt described the reports as “deeply unfortunate and, frankly, a disgrace.” While she did not comment on potential legal consequences, the CFTC now has the case and could impose civil penalties or pursue further action. The incident highlights the unique vulnerabilities of prediction markets, which have exploded in popularity on platforms like Kalshi and Polymarket.
Key Takeaways from the Teleprompter Betting Scandal
- Prediction markets are increasingly monitored for insider activity, but cases are still rare.
- Platforms like Kalshi rely on user self-disclosure and automated surveillance to detect suspicious behavior.
- The White House has distanced itself from the employee’s actions, emphasizing that the misconduct does not reflect broader administration practices.
- This case may prompt stricter regulatory oversight of event-based betting markets.
FAQ
What did the White House teleprompter operator do?
Gabriel Perez allegedly used his advance knowledge of President Trump’s speech content to place winning bets on the Kalshi prediction market, earning over $100,000.
Is betting on prediction markets illegal for government employees?
It is not automatically illegal, but using non-public information obtained through one’s job to bet is considered insider trading and violates both Kalshi’s policies and potentially federal law.
What action has been taken against the operator?
The White House confirmed that Perez no longer works in the federal government, and his trades have been referred to the CFTC for investigation.
Will this affect the growth of prediction markets?
While one isolated case is unlikely to derail the industry, it may lead to tighter self-regulation and increased scrutiny from regulators like the CFTC.
The fall of a trusted White House staffer over prediction market insider trading serves as a cautionary tale for anyone tempted to exploit privileged information. As the industry matures, both platforms and regulators are racing to close loopholes before trust erodes. For now, the case of Gabriel Perez will be studied as a landmark example of how inside knowledge can be misused in the modern betting landscape.