The news broke on a Thursday when White House Press Secretary Karoline Leavitt confirmed that Gabriel Perez, the president’s longtime teleprompter operator, had been placed on unpaid administrative leave. To those on the outside, the infraction sounded like an absurd, almost comedic footnote of modern political history. To Wall Street regulators and the architects of the booming prediction market industry, however, it was a terrifying proof of concept. Perez did not just run a teleprompter; he allegedly transformed the highest office in the country into a highly profitable, insider-knowledge betting machine. By exploiting his unique access to draft presidential remarks, Perez reportedly pocketed over $100,000 in profits by betting on the exact words and phrases the president would utter on national television.
This is not a simple case of a rogue employee making a quick buck. It is a stark warning sign of a systemic vulnerability at the intersection of high finance, technology, and governance.
The Mechanics of the Speech Hustle
To understand how Perez pulled this off, you have to understand the mechanics of "mention markets." Platforms like Kalshi and Polymarket allow users to buy and sell contracts on real-world outcomes, ranging from Federal Reserve interest rate decisions to the specific vocabulary used by public figures during high-profile broadcasts. Traders can buy contracts predicting whether a speaker will use words like "illegal alien," "tariffs," or "Web3" during a speech.
For the average trader, these markets are a guessing game based on rhetorical trends and past behavior. For Perez, it was an open-book exam.
Perez was not a newcomer to the inner circle. He had operated Trump’s teleprompter since 2016, slowly earning a reputation as a reliable, indispensable technical assistant who travelled with the campaign and later worked directly inside the White House. In the hierarchy of speechwriting, the teleprompter operator is often the absolute last person to touch a script before it goes live. He was responsible for uploading the final, approved text, making last-minute formatting adjustments, and incorporating eleventh-hour edits directly from the president himself.
Perez reportedly used this late-stage access to place massive, highly precise bets on Kalshi’s platform. Because he knew exactly what words were loaded onto the screen, he could buy up cheap contracts on obscure or specific terms, knowing their value would skyrocket the moment the president read them aloud. Among the events targeted were the State of the Union address in February, a prime-time national address in December, and the president’s remarks at the World Economic Forum in Davos.
His trades were remarkably surgical. But his undoing came from the president's famous habit of going off-script.
During live events, the president frequently drifted from his prepared remarks, skipping entire paragraphs or swapping out planned vocabulary on the fly. When this happened, Perez was caught in a high-stakes, real-time squeeze. Investigators discovered that Perez actually adjusted his betting positions on his phone while the president was speaking, frantically selling off contracts in the middle of a live broadcast when he realized the president was going to skip a word he had wagered on. This frantic, live-trading activity left a massive digital paper trail.
The Surveillance Trap and the Regulatory Grey Zone
It did not take long for the house to notice the card counter.
Kalshi's internal surveillance team, headed by legal counsel Robert DeNault, flagged several anomalous trades that did not align with normal retail or institutional buying patterns. Analysts and market makers noticed that an account was consistently buying up massive, highly concentrated positions on specific, niche phrases right before major speeches, and then liquidating those positions mid-speech with uncanny accuracy.
Kalshi froze the account, locking away more than $90,000 in unrealized profits, and immediately referred the matter to the Commodity Futures Trading Commission.
This referral triggered an intense, behind-the-scenes scramble. While Perez has reportedly cooperated with the CFTC and is currently negotiating a settlement that would require him to return his winnings, the broader legal implications are incredibly murky. The CFTC handles prediction markets, but the legal framework surrounding insider trading on these platforms is still in its infancy. Traditionally, insider trading laws apply to material, non-public information concerning publicly traded securities or commodities. A presidential speech, while highly influential, does not fit neatly into the historical definition of a financial security.
At one point, CFTC regulators reached out to federal prosecutors in Manhattan to see if they would pursue criminal charges. The prosecutors declined to open a case, highlighting a glaring vacuum in the federal criminal code when it comes to prediction market manipulation.
Without a clear statutory definition of prediction-market insider trading, regulators are left playing a game of administrative catch-up. They are forced to rely on platform-specific terms of service and civil settlement negotiations to police behavior that, in any other financial sector, would result in prison time.
The Broad Rot of Political Prediction Markets
If this were an isolated incident, it could be dismissed as a bizarre novelty. It is not. The teleprompter scandal is merely the latest, most visible symptom of a rapid, unchecked expansion of prediction markets that have turned public policy, military operations, and executive statements into gambling commodities.
The risks are already manifesting across different sectors. Earlier this year, federal prosecutors charged an active-duty U.S. Army soldier, Gannon Ken Van Dyke, with using non-public military intelligence to bet on the capture of Venezuelan strongman Nicolás Maduro on Polymarket, netting over $400,000. In another case, federal authorities launched an investigation into whether former Representative George Santos engaged in insider trading by placing bets on Kalshi regarding his own attendance at the State of the Union address.
Even corporate executives are getting in on the action, occasionally weaponizing these markets for their own amusement. Last year, Coinbase CEO Brian Armstrong ended an earnings call by explicitly listing a string of buzzwords specifically to trigger payouts for traders who had bet on what he would say.
These incidents point to a deeper, more unsettling truth. The very structure of "mention markets" invites manipulation. When the outcome of a financial contract is entirely dependent on the voluntary speech of a single human being, the temptation to coordinate, leak, or self-sabotage becomes overwhelming. A speechwriter could slip a specific phrase into a draft to help a friend cash out. A politician could alter their policy stance mid-stream to manipulate their own odds.
The Illusion of Internal Guardrails
In the wake of the scandal, the White House rushed to contain the damage. An internal memo was circulated warning aides and administrative staff that using non-public information to place bets on prediction markets was a direct violation of federal ethics guidelines.
Yet, these warnings feel largely performative. The White House has struggled to answer basic questions about how many staffers have access to these platforms on their personal or government-issued devices.
For its part, Kalshi has tried to implement its own industry-led guardrails. The platform recently updated its onboarding process to require users to disclose their place of employment before trading in highly sensitive, high-risk political markets. But self-policing in a multi-billion-dollar gambling industry is notoriously ineffective. Expecting users to voluntarily declare their conflicts of interest while offering them six-figure payouts for exploiting those exact conflicts is a naive strategy at best.
The reality is that prediction markets have outpaced the regulatory frameworks built to contain them. While platforms argue that these markets provide valuable data and aggregate the "wisdom of the crowd," they have simultaneously created a highly liquid, easily accessible incentive structure for corruption.
When a low-profile technical assistant earning a standard government salary can suddenly double his net worth by glancing at a teleprompter screen five minutes before the rest of the world, the system is fundamentally broken. The federal government can issue as many sternly worded memos as it likes, but as long as these hyper-specific contracts exist, the temptation to monetize state secrets will remain irresistible. The teleprompter operator was simply the first to get caught. He will not be the last.
NBC News coverage of the teleprompter betting allegations
This broadcast provides direct context on the suspension of Gabriel Perez and details the initial findings of the federal investigation.
