New AI service 'Blanket' lets small firms hedge risks via Kalshi markets

Blanket, unveiled this week, is an AI-powered reasoning engine created by independent economist Lauris Zminsky to help Main Street owners offset concrete risks without contacting a Wall Street bank. Users input a concrete worry—like a warm winter in the South or a spike in tariffs—and the tool returns a short list of Kalshi prediction-market contracts that could offset the exposure if the adverse event materializes. The platform does not execute trades; it merely routes users to Kalshi, where the CFTC-regulated exchange handles execution, compliance and vetting.

Kalshi’s small-business hedging lead Nicolas Hull says the service opens a “massive growth segment” by removing the sales-call barrier. Zminsky, who previously explored matching S&P 500 risk factors to Kalshi contracts, frames Blanket as a safer, insurance-like alternative, while also acknowledging his broader theory of “hypergamblification,” which sees speculation as an inherent, potentially addictive feature of such markets. Kalshi emphasizes its consumer-protection measures, including trading pauses and mental-health partnerships, to differentiate itself from gambling venues.