
A White House employee who ran Trump’s teleprompter allegedly pocketed over $90,000 by betting on what the president would say — before he said it.
Story Snapshot
- Gabriel Perez, Trump’s teleprompter operator, is under federal investigation for alleged insider trading on prediction markets.
- Perez reportedly made over $90,000 betting on specific words and phrases Trump used in speeches — and those winnings are now frozen.
- Prediction market platform Kalshi flagged the suspicious trades and reported them to federal regulators.
- Trump called the conduct a “disgrace” and placed Perez on unpaid leave; no formal charges have been filed yet.
What Perez Is Accused of Doing
Gabriel Perez worked as a teleprompter operator for President Donald Trump. In that role, he had access to Trump’s prepared speech scripts before the public heard a single word. According to two sources familiar with the matter, Perez used a prediction market platform called Kalshi to place bets on specific words and phrases Trump would use during speeches. Those bets are called “mention markets.” Perez allegedly earned more than $90,000 in profits from those trades, which are now frozen.
Kalshi’s surveillance team caught the suspicious activity and reported it to the Commodity Futures Trading Commission (CFTC) — the federal agency that oversees these markets. The CFTC is now investigating Perez for potential insider trading. Perez is cooperating with the investigation. No formal complaint or criminal charges have been filed as of this writing, and Perez has not admitted any wrongdoing.
Confirming reports that Trump's longtime teleprompter operator is being investigated by the CFTC for possible insider trading on "mention markets" for Trump speeches. Sources say the WH employee made over $90k in profits and is cooperating with the probe. https://t.co/8HG3fBvoUU
— Marshall Cohen (@MarshallCohen) July 16, 2026
Trump Calls It a “Disgrace”
White House Press Secretary Karoline Leavitt confirmed that Perez has been placed on unpaid administrative leave. She said President Trump personally made that call and described the conduct as a “disgrace.” Leavitt also admitted the White House has no system in place to track whether staff are betting on prediction markets. That admission raises a real question: how many other insiders could be doing the same thing without anyone noticing?
This case is being called the first known instance of a White House employee caught up in an insider trading scheme tied to prediction markets. The core issue is straightforward. If Perez placed bets on speech content before that content was public, he may have used private government information for personal financial gain. That is the definition of insider trading — and federal law treats it as a serious crime.
This Is Part of a Much Bigger Problem
The Perez case did not happen in a vacuum. Prediction markets — platforms where people bet on real-world events — have exploded in popularity. And regulators have been racing to catch up. In February 2026, the CFTC formally declared it has “full authority” to police insider trading on these platforms. Months later, the Department of Justice (DOJ) and the CFTC charged an active-duty U.S. Army soldier with using classified military information to place winning bets on a competing platform called Polymarket. A Google employee faced similar charges in May 2026 for betting on search data.
The White House had already warned staff in March 2026 not to use insider knowledge to trade on prediction markets. That memo named Kalshi and Polymarket by name. The warning came just one day after a suspicious trade was flagged on the platform. Perez’s alleged activity appears to have continued anyway. The pattern here is hard to ignore: people with access to information the public doesn’t have are cashing in — and the government is only now building the tools to stop them. Whether you lean left or right, that should bother you. The rules are supposed to apply to everyone, including the people working inside the White House.
Sources:
youtube.com, abcnews.com, cnn.com, lowenstein.com, money.usnews.com, cftc.gov, warner.senate.gov



