Prediction markets have a PR problem: they read as gambling and “mostly for men.” Data backs the skew about half of U.S. men have an online sportsbook account. The mechanism (opinion → price → reality) is much bigger. Demand is visible. The rails already exist. Regulated venues list real-world contracts, CPI prints, jobs, gas prices, even hurricanes and settle on official data. Consumer UX just hasn’t caught up. Where this goes next: fashion, dating, health, culture. These are prediction problems hiding in plain sight. Fashion is the cleanest wedge. We already publish and consume forecasts (Vogue/WGSN). The Lyst Index ranks “hottest” brands using searches, views, and sales. Treat that as the information layer; add a tradable layer, weekly trend baskets that resolve on sell-through %, search share, resale velocity. Now style has price discovery. Stop selling it as “betting.” Sell it as forecasting you can act onhedge plans, allocate time, make better calls. That’s how you grow beyond the current male skewed base. My view: prediction markets are the next consumer decision layer. Keep the UX A→Z simple, settle on third-party data, build compliance in. Turn noise into prices and prices into decisions. It's not about the industry, it's about the execution.