Kalshi Blanket AI Tool Helps Small Businesses Hedge Risks via Prediction Markets

Kalshi has publicly launched an AI tool called Blanket to help small businesses hedge real-world risks using Kalshi prediction markets. Built by financial economist Lauris Zminsky as an independent project, Kalshi Blanket analyzes a business owner’s described risks—such as hurricanes, higher fuel prices, or unusually warm winters—and then recommends relevant yes/no event contracts on Kalshi. Kalshi Blanket does not execute trades or handle funds. Instead, users are redirected to Kalshi, where trading execution, compliance procedures, and customer verification take place. Kalshi said Blanket is an external project that references publicly available Kalshi contracts, and its compliance team was not involved in development. The tool targets small business hedging by removing the need to first work with a Kalshi representative. A typical request takes about 30 seconds and returns a shortlist of potential markets with explanations linking each contract to the entered risk. If no suitable market exists, Kalshi Blanket can suggest similar contracts and flag the missing market as a potential demand signal. Kalshi operates as a federally regulated event contract exchange overseen by the Commodity Futures Trading Commission, offering outcome contracts across economics, politics, weather, and sports. For crypto traders, this is more of a market-structure/derivatives-adjacent development than a direct token catalyst, and it may slightly boost attention to prediction-market liquidity and hedging demand rather than trigger broad crypto price moves.