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Prediction Markets Are Not ‘Just Gambling’ Platforms
Economy -- National Review

Prediction Markets Are Not ‘Just Gambling’ Platforms

Published October 21, 2026 · 05:05 PM UTC
Read full story at National Review →
Source excerpt -- National Review
Even in the realm of sports, they enable businesses to hedge against real-world risks.
The Anvil Daily's Analysis: Why This Matters

Prediction markets just got a mainstream legitimacy boost—and it matters because the federal government is finally acknowledging they're something other than Vegas-adjacent speculation. The Commodity Futures Trading Commission has been quietly expanding exemptions for prediction market platforms like Polymarket and PredictIt to operate legally in the U.S., recognizing them as functional risk-management tools rather than pure gambling vehicles. These platforms let participants bet on election outcomes, weather events, corporate earnings, and yes, sports results—but the mechanics are sharply different from a sportsbook. When a hedge fund uses a prediction market to price the likelihood of Fed rate hikes, or an insurance company hedges against hurricane severity, they're not gambling. They're aggregating distributed information that would otherwise cost millions to obtain through traditional forecasting.

The concrete stakes here are both regulatory and economic. Polymarket has grown to handle roughly $100 million in monthly volume, with users currently pricing everything from the 2024 election to AI regulation to geopolitical flash points. If the CFTC continues expanding exemptions—the next frontier is whether they'll allow prediction markets to operate without the current requirement that contracts be tied to "event contracts" rather than pure price speculation—the market could expand by orders of magnitude. For professional users, this isn't theoretical: a corporate risk officer can currently use PredictIt to hedge against political outcomes that affect their business in real time, something that wasn't possible five years ago. The alternative—relying on traditional polling, consulting firms, or internal forecasting—is slower and less adaptive to new information.

The conservative case for prediction markets is straightforward: dispersed information beats central planning. A thousand independent traders pricing the likelihood of supply chain disruption, trade war escalation, or regulatory change will collectively know more than any government agency or consulting firm. When the Federal Reserve, Goldman Sachs, or a major corporation wants to understand what the market actually believes about future events, they increasingly look at prediction market odds rather than their own internal models. This is competition working—bad forecasters lose money and exit, good ones compound their edge. Unlike traditional betting, there's an economic mechanism that rewards accuracy. The objection that "ordinary people might lose money" misses the point: ordinary people can already lose money in stock markets, crypto, options trading, or any number of legal venues. Prediction markets are actually more transparent about odds and payouts than most alternatives.

Historically, this parallels the evolution of financial futures markets in the 1970s. When the Chicago Mercantile Exchange began allowing farmers and grain traders to price future commodity prices through contracts, regulators and traditionalists howled that it was speculation and market manipulation. The CFTC was created in 1974 partly to police these markets. But it turned out that allowing price discovery through open trading made agricultural markets more efficient—farmers could hedge, prices became more predictable, and the economy benefited. Prediction markets are in roughly the same position now: they're young, they look like gambling to regulators trained to see risk as danger, but they're actually performing a information-aggregation function that becomes more valuable as they scale.

What to watch: the CFTC's decision on whether to expand exemptions for binary event contracts (the next regulatory frontier) and whether prediction markets will be permitted to list U.S. election contracts for 2026. Currently, Polymarket operates on a legal gray area partly because the CFTC has issued no-action letters rather than formal rules. If the agency issues formal guidance—either permissive or restrictive—by mid-2025, that will determine whether these platforms become mainstream infrastructure or remain in regulatory purgatory. Congressional attention matters too; Senator Ted Cruz introduced a bill in 2024 to explicitly legalize election prediction markets, which signals potential legislative cover for expansion. Follow the volume numbers: if U.S. prediction market volume stays flat despite global markets growing, it's a sign regulatory uncertainty is capping growth. If it accelerates, it means confidence in the legal structure is rising.