Kalshi, the federally regulated prediction market platform, has rolled out an AI-powered tool called Blanket aimed at small businesses. The tool is designed to let smaller firms hedge against risks by trading on event contracts, a market segment that has largely been the playground of larger financial players.
What Blanket Does
Blanket uses AI to translate a business's specific exposure—say, a supply chain delay or a sudden spike in input costs—into a position on a prediction market. Instead of hiring a risk-management team or buying complex derivatives, a small business owner can describe the risk in plain language and get a suggested hedge. Kalshi says the tool effectively democratizes risk management, giving mom-and-pop operations access to the same kind of protection that big corporations take for granted.
The mechanics are straightforward: the AI identifies the relevant prediction market, sizes the position, and walks the user through execution. Kalshi's markets are regulated by the Commodity Futures Trading Commission, which sets it apart from unregulated crypto-based prediction platforms.
Prediction Markets as Infrastructure
The company's broader pitch is that Blanket could turn prediction markets into essential infrastructure for small businesses. Rather than treating these markets as a niche for political gamblers or sports bettors, Kalshi wants them to function like insurance or futures contracts—tools that a bakery or a freight company can use to smooth out cash flow.
That vision hinges on whether small businesses actually adopt the tool. Prediction markets have historically been thin for the kind of granular, business-specific risks that a small firm might want to hedge. The AI's job is to bridge that gap, but it's an open question whether enough liquidity will emerge on the other side to make the hedges work in practice.
What's Still Unclear
Kalshi hasn't disclosed pricing for Blanket or whether it will charge a fee per hedge or fold the cost into spreads. The company also hasn't said which specific markets the AI can access first, though the tool is live now. Early users will be testing whether the AI can accurately size a hedge for something as idiosyncratic as a local weather event or a regional labor shortage.
The bigger test is adoption. Small businesses are notoriously slow to embrace financial tools they don't fully understand, and prediction markets carry a learning curve. Kalshi's hope is that Blanket's conversational interface removes that barrier—but the proof will come from real trading volume, not the product launch.
For now, the tool is available to Kalshi's existing users. The company has not announced a broader rollout timeline or a marketing push aimed at non-financial small business owners. Those details will likely determine whether Blanket becomes a standard risk-management utility or just another niche feature on a trading app.
