Kalshi Implements Mandatory Job Disclosure for Users on High-Risk Prediction Markets
Prediction market operator Kalshi is set to implement new regulations requiring users to disclose their employment details when engaging with certain markets. This measure is intended to mitigate insider trading, a persistent concern within the burgeoning prediction market sector.
From Tuesday, the platform will begin collecting work-related information from individuals attempting to place wagers deemed susceptible to insider influence or manipulation. Kalshi cited a hypothetical market concerning which AI firm, OpenAI or Anthropic, might go public first, as an example of a scenario where this new rule would apply.
The move comes as prediction markets face increasing scrutiny over potential illicit activities. Notably, former US Congressman George Santos is reportedly under investigation for alleged insider trading on Kalshi. Earlier this year, the platform identified Congressional candidates from Minnesota, Texas, and Virginia placing bets on their own electoral outcomes.
Kalshi reported initiating over 150 internal investigations into potentially illegal trading during the first quarter of this year, leading to more than 20 referrals to law enforcement agencies. These incidents are not isolated; a Google employee was recently charged with insider trading for leveraging company information on rival platform Polymarket, and a US special forces soldier reportedly made successful bets on the removal operation of Venezuelan President Nicolás Maduro.
By demanding employment information, Kalshi aims to "identify presumptive insiders… and screen them out before a trade is ever placed." The platform has also developed a new risk scoring system to pinpoint markets at higher risk of manipulation or insider trading, particularly those involving specific corporations and national security issues.
