White House Insider Bets Rattle Trump World

The White House with Washington Monument in background. — WHITE HOUSE SCANDAL

A backstage tech who fed President Trump his words is now accused of quietly cashing in on those same words—turning secret speech scripts into a six‑figure betting haul.

Story Snapshot

Gabriel Perez, Trump’s veteran teleprompter operator, allegedly won over $100,000 betting on Trump’s speeches on Kalshi
Kalshi’s monitoring flagged his trades as suspicious and froze his account, then alerted federal regulators
The Commodity Futures Trading Commission is pursuing a civil settlement; prosecutors passed on criminal charges
The case exposes how government insiders can quietly exploit prediction markets using privileged information

The teleprompter guy who allegedly turned inside access into cash

Gabriel Perez spent years in the shadows, guiding Donald Trump’s words on a glass screen few people ever notice. Since 2016, he has operated Trump’s teleprompter, a trusted aide with early access to major speeches before the rest of America hears a single line.

That quiet role suddenly moved center stage when investigators said Perez used that advance access to bet on what Trump would say, and won more than $100,000 on the prediction market Kalshi.

Federal investigators told ABC News that Perez placed bets on more than a dozen Trump speeches over about three months, targeting markets where users wager on specific words, phrases, or topics that might appear in a speech.

They found trades tied to high-profile events: the February State of the Union, a December primetime address, a January appearance at the World Economic Forum in Davos, and a Medal of Honor ceremony in March. These are not random town halls; they are carefully scripted moments watched across the world.

How Kalshi spotted the pattern and pulled the emergency brake

Prediction markets sell the idea that anyone can profit from being right about the news. But they only survive if traders play fair. Kalshi’s surveillance team noticed that one account was winning too often on a narrow type of bet: “Mentions” markets focused on whether certain key words or topics would show up in Trump’s speeches.

Once the company identified that the trader was a White House technical assistant tied directly to those same speeches, alarms went off.

Kalshi froze Perez’s account before he could withdraw profits reported as more than $90,000, and later said the total windfall was over $100,000. The firm then referred the case to the Commodity Futures Trading Commission (CFTC), the federal regulator that oversees prediction markets.

According to Kalshi’s enforcement chief, their team “promptly flagged and referred these trades” and has been helping regulators by handing over internal evidence. That level of cooperation fits common sense: a private platform protecting its market’s integrity rather than looking the other way.

President Donald Trump's longtime teleprompter operator, Gabriel Perez, has drawn ire from the White House after reports he'd profited from Kalshi bets linked to content in Trump's speeches. https://t.co/kYWkQSjsD7

— Business Insider (@BusinessInsider) July 16, 2026

The federal response: civil case, no criminal charges, but serious consequences

So far, this has not turned into a criminal case. The United States Attorney’s Office in Manhattan declined to open a criminal investigation after the referral, even as CFTC regulators moved ahead with their own probe.

Sources say Perez is now in settlement talks with the CFTC that would likely force him to return his profits and accept limits or bans on future prediction market trading. Perez has reportedly admitted to making some of the trades during meetings with regulators and is described as “fully cooperating”.

The White House did not treat this as a minor slip. Officials placed Perez on unpaid leave once the allegations surfaced, and Press Secretary Karoline Leavitt said he “will no longer be here,” adding that Trump himself called the situation “a disgrace”.

That choice of words matters. From an American view, it matches a basic expectation: people who work around the president must not secretly monetize the office, even if regulators decide the behavior fits civil, not criminal, law.

A growing pattern: insiders, prediction markets, and the ethics gap

This case is not a one-off fluke. In early 2026, the White House warned staff not to use insider information on prediction markets after suspicious trading linked to war decisions and oil prices. Reporters have documented campaign staffers placing bets using internal polling data before results go public, turning private numbers into quick profits on platforms like Polymarket.

In April, federal prosecutors unsealed charges against a United States Army soldier accused of using classified military information to make hundreds of thousands of dollars on another prediction market.

Trump’s teleprompter operator is under investigation for betting on what Trump would say.

Kalshi let traders bet on exact words in presidential speeches. It froze more than $90,000 in profits and referred the trades to the CFTC. pic.twitter.com/WUXU9uYS13

— The Fifth Signal (@TheFifthSignal) July 19, 2026

Regulators and legal experts now argue that existing fraud laws and CFTC rules already give the government power to treat these cases like insider trading, even if the asset is a prediction contract instead of a stock. New York’s governor went further and ordered state employees not to use any nonpublic information in prediction markets at all.

For those who value the rule of law, the real concern is clear: once prediction markets touch politics and war, insiders gain a quiet way to skim value from decisions taxpayers pay for.

What this says about trust inside the White House

The Perez case lands in a White House already under fire, but the deeper issue is cultural, not partisan. When a long-serving teleprompter operator allegedly uses early access to presidential words for private gain, it suggests staff see the job as a side hustle, not a duty.

Democrats in Congress now push for more ethics training and rules for federal employees, focused specifically on prediction markets. That demand is reasonable, but training alone does little if consequences stay light.

At the same time, the lack of criminal charges shows how new and murky this area still is. Regulators seem more comfortable forcing payback and bans than testing fresh theories of insider trading in front of a jury.

The takeaway is simple: if you hold public trust and you know something the public does not, turning that knowledge into a gambling edge crosses a line. Whether the statute books catch up or not, the ethics are not complicated.