The dominant narrative around prediction markets remains focused on elections and sports. Sporting events account for the majority of turnover at major venues, while election contracts put the category on the front page. But based on what active traders are actually doing with real money, prediction markets are expanding to serve a more impactful purpose: they are places to hedge risks that existing financial instruments cannot clearly price because the assets are inherently new. Their scope spans geopolitical events, policy shifts and commodity-related outcomes, a market that has the potential to dwarf anything produced by sport.
Case in point: When Kevin Warsh was named the next Fed chair in January, Kalshi and Polymarket saw a surge in trading activity, and among frequent multimarket traders, the volume surge dwarfed Super Bowl volume. Recently, the 24-hour window surrounding the Iran conflict generated more trading activity than any other sports day this year. Sports events still account for the majority of total volume at both venues. But traders driving growth advantage are developing strategies across categories and venues. These traders are increasingly gathering around geopolitical, macro and policy-related contracts. They are not looking for entertainment. They are looking for tools to price uncertainty affecting their other jobs, businesses and, in some economies, household budgets.
Serious institutional voices are now illuminating this shift. In a February 2026 paper, Fed economists evaluated Calshe’s macroeconomic forecast markets and argued that these markets could provide high-frequency, continuously updated, “distribution-rich” forecast data that could be valuable to researchers and policymakers.
From entertainment to infrastructure
To understand where prediction markets are headed, we only need to monitor the behavior of traders, with trends showing that more and more participants are integrating prediction market contracts into broader financial strategies.
This means that commodity traders monitoring oil risks are now looking to the Russia-Ukraine ceasefire contract as a real-time signal of geopolitical risks that directly impact energy prices. Equity traders who manage concentrated technology positions watch the tariff-related prediction market to calibrate for event risk that no single equity indicator can clearly capture. In both examples, contract prices play a role that traditional tools cannot provide. They are updated in real time as the narrative surrounding a particular event changes, which provides traders with probabilistic signals that they can take action on across the wider ledger.
The U.S. commodity market is worth $60 trillion annually. The entire category started with farmers hedging crop yields. This simple premise scales because the underlying need is real. Prediction markets are approaching a similar threshold. The format is simple: what we currently have are binary yes/no contracts about events over time, but they solve a need that is both universal and largely unmet by existing tools: they allow you to price uncertainty and take action.
Before prediction markets emerged, there was no clear way to express a view on whether central banks would hold interest rates, whether a military strike would occur, or whether trade policy would change. Traders can try to extrapolate these probabilities from currency pairs or futures, but they will always trade them as proxies. Even the election, arguably the most watched political event, is priced indirectly, so clean energy Democrats leading in the polls will suppress coal stocks. Prediction markets are a superior tool because they price the events themselves. This makes them an order of magnitude more useful as hedging instruments.
international dimension
The fastest growing segment of prediction market participation is the international market, spread across Europe, Asia and, increasingly, emerging markets. In an economy characterized by currency volatility, inflation and policy unpredictability, the ability to price uncertainty is becoming a necessity for investors.
Stablecoins have proven this principle. In Latin America and parts of Africa and Southeast Asia, the digital dollar has become a mainstream store of value and remittance tool, not because users are attracted to crypto ideology but because traditional banking infrastructure struggles with cost and volatility. Stablecoin adoption spreads because it solves everyday problems.
Prediction markets extend this applicability by offering a contract on whether a currency will depreciate over the next quarter, whether fuel subsidies will be cut, or whether central banks will intervene. When such contracts are accessible through the same EVM infrastructure, small positions on fuel price outcomes start to look less like bets and more like clear-cost insurance against otherwise unmanageable risks.
Consumer-grade simplicity has not yet been achieved, but the trajectory is visible, especially for traders from high-volatility economies who do not view prediction markets as entertainment. For them, they serve as an information layer that is also actionable.
what happens next
Prediction markets currently have hundreds of millions of daily trading volumes. Polymarket processed $8 billion in January; Kalshi processed $9 billion. The numbers only move in one direction.
But the more important evolution will be the evolution of the format. The current generation of prediction markets operates on simple binary outcomes. As the category matures, expect markets to emerge for belief-weighted instruments, conditional contracts, and references to real economic indices, making these instruments more useful for hedging and less dependent on the novelty of adoption.
Prediction markets are gaining attention because they measure outcomes that have a direct economic impact on traders. Weather and commodity-related markets, inflation and monetary policy contracts, and geopolitical risk pricing all sit at this intersection. Prediction markets are starting to meaningfully overlap with traditional finance.
Elections have always been the category that drives the deepest engagement and largest volume surges, and that will continue as the U.S. midterm elections approach. Sports generate steady flow. But the long-term value of prediction markets will grow, serving more people and institutions that need to manage uncertainty as part of their daily economic lives.
