The dominant discourse around prediction markets still focuses on elections and sports. Sports represent the majority of volumes in large sites, and it is electoral contracts that place this category in the headlines. But based on what active traders actually do with real money, prediction markets are developing for an even more impactful purpose: they help hedge risks that no existing financial instrument can properly assess, because the assets are new in nature. Their applicability spans geopolitical events, policy shifts, combined with commodity-related outcomes, and this market has the potential to eclipse anything sports will ever produce.
Case in point: When Kevin Warsh was named the next chairman of the Federal Reserve in January, trading activity on Kalshi and Polymarket surged, and among multi-market frequent traders, the volume surge eclipsed that of the Super Bowl. Most recently, the 24-hour window around the Iran conflict generated more trading activity than any sports day this year. Sports still make up the majority of overall volume at both sites. But the traders driving the growth are strategizing across categories and locations. These traders are increasingly clustering around geopolitical, macroeconomic and policy-related contracts. They are not looking for entertainment. They are looking for tools to assess the uncertainty affecting their other jobs, their businesses, and (in some economies) their household budgets.
Serious institutional voices are now expressing this change. In a February 2026 paper, Federal Reserve economists evaluated Kalshi’s macroeconomic prediction markets and argued that these markets can provide high-frequency, continuously updated, “distribution-rich” expectations data that could be valuable to researchers and policymakers.
From entertainment to infrastructure
To see where prediction markets are heading, simply monitor trader behavior, and the trend shows an increasing number of participants integrating prediction market contracts into broader financial strategies.
This means that a commodities trader monitoring oil exposure is now tracking ceasefire contracts between Russia and Ukraine as a live signal of geopolitical risk that directly affects energy prices. An equity trader running a concentrated technology position monitors rate-related forecast markets to calibrate event risk that no single stock metric clearly captures. In both examples, contract prices do something that no traditional instrument offers. They are updated in real time as the narrative around a specific event evolves, giving traders a probability signal that they can act on across their portfolio.
The commodities market represents a $60 trillion annual market in the United States. The whole category started with farmers hedging their crop yields. This simple premise was scaled because the underlying need was real. Prediction markets approach a similar threshold. The format is simplistic: we currently have binary yes/no contracts on temporal events, but the need they address is both universal and largely unmet by existing instruments: they allow you to assess and act on uncertainty.
Before prediction markets, there was no clear way to express one’s opinion on whether a central bank would hold rates, whether a military strike would take place, or whether a trade policy would change. Traders could try to infer these probabilities from currency pairs or futures contracts, but they always traded them as a proxy. Even elections, arguably the most closely watched political events, have been judged indirectly, such that a pro-clean energy Democrat leading in the polls would wipe out coal stocks. Prediction markets are a superior instrument because they price the event itself. This makes them useful as hedging tools, which is an order of magnitude more applicable.
The international dimension
The fastest growing segment of prediction market participation is international, spread across Europe, Asia and, increasingly, emerging markets. In economies marked by currency volatility, inflation and policy unpredictability, the ability to assess uncertainty becomes a necessity for investors.
Stablecoins have already demonstrated this principle. In Latin America and parts of Africa and Southeast Asia, digital dollars became a common store of value and funds transfer tool, not because users were attracted to crypto ideology, but because traditional banking infrastructure struggled with costs and volatility. Stablecoin adoption became widespread because it solved an everyday problem.
Prediction markets extend this applicability by providing a contract on whether a currency will depreciate in the next quarter, whether fuel subsidies will be reduced, or whether a central bank will intervene. When such contracts are accessed through the same EVM infrastructure, a small position in fuel prices starts to feel less like a bet and more like insurance that provides a set cost for an otherwise unmanageable risk.
Simplicity at the consumer level isn’t here yet, but the trajectory is visible, especially for traders in high-volatility economies who don’t view prediction markets as entertainment. For them, they constitute an equally usable layer of information.
What comes next
Prediction markets now boast hundreds of millions of daily trading volumes. Polymarket processed $8 billion in January; Kalshi has processed $9 billion. These numbers have only moved in one direction.
But the most important development will concern the format. The current generation of prediction markets operate on simple binary outcomes. As the category matures, expect conviction-weighted instruments, contingent contracts, and markets that reference real economic indices, making these tools more useful for hedging and less dependent on novelty for adoption.
Prediction markets are gaining ground because they measure outcomes with direct economic consequences for traders. Weather and commodity markets, inflation and monetary policy contracts, and geopolitical risk pricing all sit at this intersection. Prediction markets are beginning to overlap significantly with traditional finance.
Elections have historically been the category that drives the deepest engagement and largest spikes in volume, and this will continue as we approach the midterm elections in the United States. Sport generates constant cash flow. But the long-term value of prediction markets will increase to serve a broader population of people and institutions who must manage uncertainty as part of their daily economic lives.
