The $100k Teleprompter Bet Just Exposed Prediction Markets’ Worst Unfixed Vulnerability

(SeaPRwire) –

By: Lucas Caldwell

Everyone makes jokes about insider trading on Wall Street, but no one saw this coming. A White House teleprompter operator turned pre-approved speech drafts into a six-figure side hustle on a regulated prediction market. This is not some quirky, one-off viral scandal. It pulls back the curtain on a gaping, unaddressed flaw in prediction market oversight that platforms have brushed off for years. Any low-level staffer with access to non-public event details now has a clear playbook for easy, almost risk-free profit.

Gabriel Perez has operated Donald Trump’s teleprompter since 2016. He placed bets on Kalshi’s “Mentions” markets, which pay out if specific words or topics appear in scheduled public speeches. He targeted more than a dozen events over roughly three months, including the State of the Union address and Trump’s January World Economic Forum speech in Davos. He knew exactly what lines were written into the prompter before any speech aired, giving him an unbeatable edge over every other retail trader on the platform.

Perez adjusted his bets in real time mid-speech, exiting positions whenever Trump skipped prepared passages as he often does. He pulled in over $100,000 in total profits before Kalshi’s internal surveillance team flagged his unusual trading pattern. The platform referred the case directly to the Commodity Futures Trading Commission, which has not confirmed or denied an active investigation. The White House placed Perez on unpaid administrative leave, and Trump called his alleged conduct a disgrace.

This case is far from an isolated incident. In January, a U.S. Army soldier was charged with using classified information to make $400,000 on Polymarket betting on Venezuelan President Nicolás Maduro. A Google software engineer made $1.2 million on the same platform in May using internal company search data. Six Polymarket traders made roughly $1 million total earlier this year betting on a U.S. strike on Iran hours before news of explosions in Tehran broke. The pattern of uncaught insider trading is impossible to ignore.

Lawmakers are already moving to impose new restrictions on these platforms. Republican Representative Bryan Steil introduced legislation in June to block members of Congress and their families from trading prediction market contracts tied to political outcomes. The Senate has already implemented a full ban on its own members using these platforms. Kalshi and Polymarket both claim they have robust anti-insider trading measures in place, but the Perez case makes it clear those systems are failing to catch even the most obvious suspicious activity.

The CFTC will roll out mandatory occupation and employer disclosure rules for all U.S. prediction market users by the end of 2026.

Author bio: Lucas Caldwell, a tech opinion leader with millions of followers on X/Twitter covering digital market regulation and decentralized platform policy.