# Prediction Markets Evolve Into Bespoke Insurance Tools for Small Businesses Companies are leveraging prediction platforms to hedge operational risks through event-based financial trades. - **Source:** [Fortune | FORTUNE](https://brifing.si/source/769282ef-327a-4454-909a-3c7936216004) - **Published:** 2026-10-19 - **Topic:** [Finance](https://brifing.si/c/finance) - **Original article:** - **On Brifing:** https://brifing.si/s/3bdad24c-f886-4c75-a3f0-794250593d0d ## Strategic Hedging via Prediction A Los Angeles restaurant group utilized Kalshi to hedge against potential revenue losses linked to the Dodgers' playoff performance. By betting $60,000 on the team failing to reach the World Series, the group secured a payout nearly doubling their stake. This strategy effectively compensated for decreased foot traffic near the stadium. ## Shift Toward Bespoke Insurance Experts describe these trades as a form of bespoke insurance for businesses facing specific, event-driven risks. Unlike traditional insurance, these platforms allow companies to hedge against binary outcomes like weather patterns or sports results. This provides a flexible, albeit unconventional, financial tool for managing operational volatility in real-time environments. ## Market Growth and Volume Trading volume on prediction platforms doubled between May and July, reaching $58 billion on Kalshi and $22 billion on Polymarket. This surge is largely driven by sports-related activity, though the user base is expanding. Businesses are increasingly viewing these platforms as financial exchanges rather than mere gambling forums for speculative betting. ## Real-World Business Applications Small businesses are finding creative ways to mitigate risk through these markets. A New York City bar covered patron tabs during NBA finals by betting on the Knicks, resulting in an $8,500 profit. Meanwhile, an ice cream shop hedged against slow demand by betting on local weather forecasts to cover monthly rent. ## AI-Driven Discovery Tools New software integrations are simplifying the hedging process for business owners. Economist Lauris Zminsky launched the Blanket app, an AI engine that suggests specific yes-or-no markets on Kalshi to offset business risks. This tool aims to democratize access to financial hedging, making it a self-service option for smaller, non-technical enterprises. ## Data Calibration and Utility Prediction markets excel at risk management because they aggregate massive amounts of data, leading to well-calibrated pricing. Eric Zitzewitz notes that the high frequency of games and events provides a reliable signal. Businesses pay fees for this insurance, but they gain access to fair prices based on collective market intelligence. ## Predictive Power for Retailers Beyond direct hedging, these markets offer valuable forecasting data for broader business decisions. E-commerce retailers can analyze trades on future credit card receipts to predict consumer spending trends more accurately than lagging GDP indicators. This real-time information provides a competitive edge for companies attempting to anticipate shifting market demand cycles. ## Regulatory and Structural Risks Despite their utility, prediction markets lack the rigorous oversight of traditional insurance companies. Joshua Mitts warns that the decentralized structure creates a free-for-all environment without established guardrails against fraud. While these platforms offer unique financial flexibility, they currently lack the state-regulated protections that define traditional, formal insurance industry standards. ## Sources covering this story - https://fortune.com/2026/10/19/prediction-markets-insurance-risk-management-kalshi-dodgers-world-series/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._