Trump Teleprompter Aide Allegedly Made $100K Betting on Speeches

The press room went quiet before the microphone did. A reporter asked a simple question, and an easy answer didn’t come. I remember thinking: whatever was whispered inside the West Wing had just slipped into the public ledger.

I’ve covered ethics stories long enough to know the shapes of scandals. You read this and you want two things: the truth, and a quick way to judge how bad it is. I’ll walk you through what happened, what it means, and what to watch next.

A sudden administrative-leave announcement in the middle of a briefing

Karoline Leavitt told reporters that a member of the teleprompter team would not be at the console tonight. Then she corrected the record: the employee is on unpaid administrative leave.

The employee named by ABC News is Gabriel Perez, who has operated President Donald Trump’s teleprompter since 2016. The White House confirmed he is cooperating with the Commodity Futures Trading Commission, and that someone else would run the teleprompter when Trump speaks to the nation.

Can White House staff legally bet on presidential speeches?

You can see why this question lands with a thud. Federal ethics rules and White House policy prohibit insider trading and using nonpublic information for private gain. The White House press secretary insisted, “there are very strict ethical guidelines here at the White House,” on Thursday.

That does not automatically mean criminal charges follow. The CFTC is investigating whether putting money on Kalshi’s “mention markets” with advance access crossed a legal line. Prosecutors in Manhattan reportedly declined to open a criminal case after an alert from the CFTC, though public reporting did not explain why they passed.

A betting platform flagged the activity and regulators opened an inquiry

Kalshi, a regulated event-market platform, alerted the CFTC about unusual activity tied to speeches.

According to ABC News, Perez allegedly made more than $100,000 on the platform ($100,000; €92,000) by wagering on whether specific words would be said in Trump’s speeches. The mention markets let bettors pick single words or phrases—so if you know the script, you have an obvious advantage.

What is Kalshi and how do mention markets work?

Kalshi is a market for real-world events where users buy contracts that pay out if an event happens. The “mention markets” are bets on whether a word or phrase will be spoken during a speech—simple, binary, and highly sensitive to inside information. Polymarket does similar trades in decentralized markets; both platforms were blocked on the White House wifi during the briefing, a reporter noted.

A reporter noticed site access was restricted on White House wifi

During the briefing, a journalist pointed out that Kalshi and Polymarket were inaccessible on the local network—and asked whether West Wing staff had access elsewhere.

Leavitt said she didn’t know whether other staffers could reach those sites, but reiterated ethical rules. That moment became a pressure point: if network access is uneven, the worry isn’t just a single employee—it’s who else might see a script before the room does.

Was the teleprompter operator charged?

No criminal charge has been filed publically. According to reporting, the CFTC tipped federal prosecutors in Manhattan, who declined to open a criminal investigation. The probe remains with regulators, and Perez has been placed on unpaid leave while cooperating.

An operator allegedly adjusted bets mid-speech when Trump skipped lines

Reporters described a pattern: when Trump didn’t read an expected line, the alleged bettor partially reversed positions mid-speech.

That behavior suggests active, real-time trading informed by privileged access. It’s not only the size of the take—reported as more than $100,000 ($100,000; €92,000)—but the mechanics: the ability to change wagers as the speech unfolds magnifies any advantage.

Kalshi’s mention market for the speech had already gathered more than $1.1 million in bets ($1.1 million; €1.02 million). Current market probabilities showed a 98% chance Trump would say “election,” 55% for “Iran” at least three times, 52% for “stock market,” and 49% for “alien.” Long shots included a 22% chance for “transgender” and 4% for “crypto” or “bitcoin.”

A whistleblower from the market closed the loop

Kalshi itself flagged the suspicious trades to the CFTC, prompting the agency to look into whether those bets were based on material, nonpublic information.

This is where the story becomes a study in incentives: markets reward correct predictions; insiders with access can tilt returns. The CFTC enforces market integrity on platforms like Kalshi; Polymarket sits in the same public conversation about regulated vs. decentralized event markets. You can think of the market as a lighthouse in a fog, guiding traders—except when the light is fed by someone who has the map.

I’ve spent a long time watching where policy, access, and money cross. When a teleprompter operator allegedly becomes a ledger of whispers, you don’t just worry about one paycheck—you worry about contortions in trust that ripple through institutions.

Regulators will decide whether civil penalties, trading restrictions, or other consequences follow. The White House faces a separate reputational hit, and reporters will keep pressing: who else had privileged access, and were internal controls adequate?

If you want to follow developments, watch CFTC filings, Kalshi statements, and any DOJ or U.S. Attorney updates from Manhattan. I’ll be watching too—are you ready to bet on how this ends?