The political prediction market Kalshi is once again at the center of a scandal. As it turns out, the teleprompter operator for U.S. President Donald Trump may have used access to non-public information about the content of presidential speeches to profit on the platform. The potential earnings exceed $100,000 — an impressive figure even by professional traders' standards.
According to data shared by the platform itself with the U.S. Commodity Futures Trading Commission (CFTC), a White House employee responsible for managing the teleprompter allegedly placed bets on outcomes directly related to the topics and rhetoric of Trump's speeches. Access to speech drafts before their public announcement gave him a unique advantage: he could assess in advance how certain statements would affect market expectations for specific contracts.
After the information became public, the White House placed the suspect on unpaid leave. The Kalshi platform, in turn, promptly forwarded all materials to the regulator, emphasizing its commitment to combating insider trading.
My analysis. This incident is yet another reminder of the fragility of the boundaries between political information and financial markets. Kalshi, like other prediction platforms, operates in a gray area: on one hand, they provide unique data on sentiment; on the other, they become a target for those with privileged access. The case of the teleprompter operator demonstrates that even seemingly insignificant non-public information — such as the tone or emphasis in a president's speech — can be monetized. Prediction markets will need to strengthen internal controls and possibly introduce mandatory "quiet periods" for individuals with access to sensitive data. Otherwise, trust in this tool will be undermined, and regulators will begin to act more harshly.