The Rise of Prediction Markets in the United States
Prediction markets have rapidly moved from obscure financial experiments to a mainstream phenomenon in the United States. Platforms like Kalshi and Polymarket now attract billions of dollars in trading volume, drawing in both casual speculators and professional traders. These markets allow users to buy and sell contracts based on the outcome of real-world events, ranging from sports games and political elections to economic indicators and entertainment awards. The core idea is simple: users trade “yes” or “no” contracts on whether an event will occur, with prices reflecting the market’s collective probability estimate.
The most popular category by far is sports, with Super Bowl Sunday alone seeing over $800 million in trades on Kalshi. In 2025, nearly 87% of Kalshi’s trading volume was sports-related, and during football season, that figure rose to about 90%. This dominance of sports betting shapes both the public perception and the regulatory scrutiny of prediction markets in the U.S.
How Prediction Markets Work: Event Contracts and Peer-to-Peer Trading
Unlike traditional sportsbooks, prediction markets such as Kalshi and Polymarket operate on a peer-to-peer model. Users trade event contracts directly with each other, rather than betting against a bookmaker. Each contract is a simple yes/no question, priced between $0.01 and $0.99. If the event occurs, the contract settles at $1; if not, it settles at $0. The price at any moment reflects the market’s consensus probability of the event happening.
For example, in the recent Canada vs USA Olympic Men’s Hockey gold medal game, Kalshi listed a contract for Canada to win at 53 cents, implying a 53% chance of victory. Traders could buy or sell this contract, and if Canada won, holders would receive $1 per contract. This system allows for dynamic pricing and the ability to exit positions early, offering flexibility not found in traditional betting.
Political and Regulatory Battles Intensify
The explosive growth of prediction markets has triggered a fierce political and regulatory battle in the United States. Unusual alliances have formed, with conservative Mormons joining forces with Las Vegas gaming interests, and MAGA figures siding with liberal Democrats. One side accuses these platforms of running illegal shadow casinos, while the other defends them as legitimate financial markets that democratize access to derivatives trading.
The Commodity Futures Trading Commission (CFTC) is the main federal regulator overseeing prediction markets, treating them as derivative instruments. The CFTC’s involvement dates back to the late 1980s, when academic projects like the University of Iowa’s Iowa Electronic Market pioneered election-based contracts. Today, the CFTC asserts strong control, recently filing amicus briefs in support of platforms like Crypto.com against state-level gambling regulators.
However, many state attorneys general and gambling regulators argue that sports-related contracts should comply with state gambling laws, citing their economic impact on regulated industries such as Nevada’s casino sector. This has led to a patchwork of lawsuits and regulatory actions across the country. Kalshi faces 19 lawsuits nationwide and narrowly avoided a temporary shutdown in Massachusetts. Meanwhile, Polymarket was banned in the U.S. in 2022 for operating an unregistered derivatives market but has since returned in a limited form.
Support and Opposition: A Divided Landscape
Support for prediction markets comes from a diverse coalition. Former President Donald Trump and his circle have shown interest, with Trump planning to launch his own platform, Truth Predict. Donald Trump Jr. advises both Kalshi and Polymarket and invests through his firm, 1789 Capital. Trump Media has also partnered with Crypto.com. On the other side, former Democratic Congressman Sean Patrick Maloney leads an industry lobbying group advocating for clear federal oversight, and Kalshi has hired John Bivona, a former Biden administration official, as head of government relations.
Opposition is equally varied. Some Republicans, like Chris Christie, support regulation through the American Gaming Association, while others, such as Utah Governor Spencer Cox, oppose CFTC authority and promise legal battles. Arkansas Senator John Boozman has compared prediction markets to “Wild West” operations needing more scrutiny. This lack of clear partisan alignment makes the regulatory fight unpredictable and protracted.
AI and Algorithmic Trading: Changing the Game
A new development in prediction markets is the rise of AI-driven trading and algorithmic strategies. Automated bots now exploit micro-arbitrage opportunities, capitalizing on brief pricing glitches where the combined price of “yes” and “no” contracts falls below $1. For example, a fully automated AI bot recently executed nearly 9,000 trades on short-term crypto prediction markets, generating almost $150,000 in profits by exploiting these fleeting inefficiencies.
These bots use machine learning to test strategies, optimize thresholds, and monitor multiple markets simultaneously. They can react in milliseconds, far faster than any human trader. As a result, prediction markets are becoming battlegrounds for high-frequency trading and statistical arbitrage, rather than just platforms for expressing opinions on future events.
This shift raises questions about the future character of prediction markets. As more volume comes from automated systems focused on arbitrage rather than genuine forecasting, markets risk becoming mirrors of traditional derivatives venues rather than independent aggregators of crowd beliefs.
Institutional Adoption and Mainstream Recognition
Despite regulatory uncertainty, prediction markets are gaining credibility in mainstream finance. The Federal Reserve recently published a research paper endorsing Kalshi’s market data, noting that prediction markets may outperform traditional derivatives and survey forecasts in predicting key economic data. Researchers from the Fed, Northwestern University, and the National Bureau of Economic Research highlighted the potential for prediction markets to serve as new benchmarks for measuring expectations and aiding monetary policy decisions.
This endorsement is a significant boost for the industry, signaling growing acceptance among policymakers and economists. It also challenges critics who dismiss prediction markets as mere speculative betting rather than serious forecasting tools.
Market Dynamics: Growth, Risks, and User Experience
The rapid growth of prediction markets has brought both opportunities and challenges. Platforms like Polymarket and Kalshi have attracted major investments from quantitative trading firms such as Jump Trading and struck data partnerships with media giants like CNN, CBS, CNBC, and Dow Jones. Tradeweb, a leading electronic trading platform, has signed a strategic deal with Kalshi to bring prediction market data to institutional investors.
However, sustainable monetization remains a challenge. While trading volumes are high, individual users often report significant financial losses, especially on high-risk wagers related to sports and crypto price movements. The peer-to-peer model means there is no house edge, but it also exposes users to the full risk of market swings.
Liquidity is another issue. Many short-duration prediction contracts have shallow order books, making it difficult for large traders to participate without moving prices. This limits the scale of arbitrage opportunities and keeps much of the activity concentrated among smaller, nimble traders.
Legal and Regulatory Outlook: A Prolonged Struggle
The legal status of prediction markets remains unsettled. Most lawsuits and regulatory actions focus on sports event contracts, with states like Nevada also addressing election betting issues. The CFTC’s assertion of exclusive federal jurisdiction is being challenged by state regulators and lawmakers, leading to a complex and ongoing legal battle.
Experts predict that resolution will require deliberate legislative action or high court rulings after extensive litigation. The situation is reminiscent of the regulatory struggles over hemp-derived THC products, where federal and state rules often conflict and create legal gray areas. As with cannabis, prediction markets are likely to remain in a state of uncertainty for the foreseeable future.
The Future of Prediction Markets: Beyond Sports Betting?
While sports betting dominates the current landscape, industry leaders believe that prediction markets have the potential to expand into broader applications, including political elections, macroeconomic indicators, and even weather events. Institutional adoption will require greater scale, regulation, trust, and liquidity. Partnerships like the one between Tradeweb and Kalshi are steps in this direction, aiming to provide real-time probabilistic data for risk assessment in financial markets.
For now, however, the industry’s growth depends heavily on its success within the realm of regulated sports betting exchanges. The line between gambling and financial trading remains blurred, complicating both public perception and regulatory approaches.
Conclusion: A Market at the Crossroads
Prediction markets stand at a crossroads, caught between their origins as tools for aggregating crowd wisdom and their evolution into high-speed, AI-driven trading platforms. The ongoing political and regulatory battles reflect deeper questions about the role of speculation, risk, and information in modern finance. As the industry continues to grow and attract attention from both Wall Street and Washington, the outcome of these battles will shape not only the future of prediction markets but also the broader landscape of financial innovation in the United States.
For now, prediction markets remain a flashpoint in America’s culture wars, a testing ground for new technology, and a window into how society values information, risk, and the wisdom of crowds. The story is far from over, and the next chapter will be written in courtrooms, trading floors, and the halls of Congress.
