White House Teleprompter Operator Allegedly Made $100K+ Betting Trump Speeches on Kalshi, Triggering CFTC Probe

Gabriel Perez knew exactly what Donald Trump would say. And he allegedly cashed in—clearing more than $100,000 by betting on the contents of Trump’s speeches through the prediction market Kalshi, using advance knowledge of the very remarks he was paid to load onto the teleprompter, ABC News reported.

Federal regulators are on the case. Legal observers call this one of the first high-profile insider-trading probes tied to a CFTC-regulated prediction market—and Perez has been placed on unpaid leave.

The allegations, if they hold, will stretch a legal framework built for soybean futures and crude oil to see if it can cover a market where users bet on what a president says at a podium.

What Perez Allegedly Did

According to ABC News, Perez allegedly placed bets on more than a dozen Trump speeches. His role gave him early access to drafts, prepared remarks, and last-minute edits; investigators suspect that inside track allowed him to predict, with unnerving accuracy, whether Trump would mention specific topics, name individuals, or announce policies that Kalshi had already turned into tradable event contracts.

How Kalshi Caught It

Kalshi detected the pattern. The CFTC-regulated platform, which offers contracts on real-world outcomes like political speeches, flagged the suspicious trading to the Commodity Futures Trading Commission, The Hill reported. That decision to alert regulators speaks volumes: prediction markets now face the same surveillance expectations as traditional exchanges. Self-reporting might be the only path to credibility with a deeply skeptical CFTC.

The exact profit figure is slightly disputed. ABC News says “more than $100,000”; CBS News reported “nearly $100,000.” Either way, the numbers suggest systematic betting, not a fluke—yet small enough that catching it required Kalshi’s own systems to spot anomalous activity from a single user.

The Legal Question

Under the Commodity Exchange Act, using material nonpublic information to trade derivatives can be fraud. The CFTC regulates event contracts as commodity derivatives. So, theoretically, the same laws that govern insider trading in futures markets could nab someone betting on a speech after reading the script. But can prosecutors convince a court that speech content is “material nonpublic information” like corporate earnings? Does a teleprompter operator owe a duty like a corporate insider? This case may force those questions into federal law.

What It Means for Prediction Markets

The probe hits at a tense time for prediction markets. Platforms like Kalshi, Polymarket, and PredictIt have exploded with users betting on elections, Fed decisions, and presidential addresses. Their growth has far outpaced the regulatory framework built for slower commodity markets, leaving critical questions unanswered. Who is an insider when the “asset” is a politician’s statement? What duty does a White House staffer owe to bettors? And how should platforms police users whose jobs give them a real informational edge?

Kalshi knows this friction well. The platform has previously clashed with the CFTC over the legality of its event contracts. The Perez case adds a new layer: Kalshi flagged its own user to the regulator it has clashed with, banking that cooperation on insider trading might earn goodwill later.

For the entire industry, the stakes are massive. A successful CFTC enforcement action would set a precedent: trading on political intelligence—advance knowledge of government communications—can trigger commodity-fraud liability on regulated platforms. That would force every operator to build surveillance systems to spot users with government or corporate access and decide when to make a federal referral.

It would also give the CFTC a clear win. The agency has spent the past year swinging between allowing event contracts and challenging their legality. A clean insider-trading case with this fact pattern—a White House staffer exploiting access—is a far more politically palatable way to assert authority than blocking election contracts ever was.

Where Things Stand

Perez hasn’t been charged. The CFTC hasn’t commented. The White House only confirms the unpaid leave. The outcome—civil penalties, a criminal referral, or both—will likely shape how prediction markets build compliance programs and how government employees view the legal risks of betting on their work.

One urgent question now sits with Kalshi. If a teleprompter operator can clear six figures on speeches he helped stage, how many other users with quieter edges are trading undetected? That answer, and the regulatory response, will determine if prediction markets become a regulated financial sector or remain a frontier where insider trading only gets punished after the platform rings the alarm.