The Prediction Market Boom: Lawmakers Scramble to Regulate a New Era of Betting and Information

Explore the rise of prediction markets, new US regulations, and the risks of insider trading, manipulation, and political influence.

Prediction Markets Surge Amid Political and Social Uncertainty

Prediction markets have exploded in popularity across the United States, drawing attention from both everyday users and lawmakers. These platforms, such as Kalshi and Polymarket, allow people to buy and sell contracts based on the outcomes of real-world events. The surge in activity is especially visible during high-profile moments like elections, major sports tournaments, and global crises. In recent months, the most widely reported story has centered on the rapid growth of these markets and the urgent push by Congress to address the risks and ethical concerns they present.

The core appeal of prediction markets lies in their promise to aggregate collective wisdom. By letting users bet money on their beliefs, these platforms claim to produce odds that reflect the true likelihood of future events. This has made them a popular tool for tracking political races, such as the California governor’s race, where millions of dollars have been wagered and market odds are now cited alongside traditional polls. However, the very features that make prediction markets attractive—speed, transparency, and real-time feedback—also raise serious questions about manipulation, insider trading, and the potential to influence the events being bet on.

Congress Responds: Six Major Bills Target Prediction Market Risks

The boom in prediction markets has not gone unnoticed on Capitol Hill. Lawmakers have introduced at least six major legislative efforts to address the risks and abuses associated with these platforms. The proposals reflect a range of concerns, from insider trading and government ethics to the dangers of betting on sensitive or easily manipulated events.

One of the most prominent bills is the “Public Integrity in Financial Prediction Markets Act,” introduced by Rep. Ritchie Torres (D-NY). This bill aims to ban federal officials and staff from betting on outcomes where they might possess nonpublic information. The move was inspired by suspicious trades linked to geopolitical events, such as the capture of Nicolás Maduro, which raised alarms about the use of insider knowledge for profit. Kalshi has publicly supported this measure, emphasizing its own rules against insider trading.

Another key proposal, the “End Prediction Market Corruption Act,” comes from Senators Jeff Merkley (D-OR) and Amy Klobuchar (D-MN). This bill would bar top government officials, including the president and members of Congress, from trading on prediction market platforms altogether. The goal is to maintain public trust and prevent conflicts of interest that could undermine confidence in government decisions.

The most restrictive approach is the “Banning Event Trading on Sensitive Operations and Federal Functions (BETSOFF) Act,” sponsored by Sen. Chris Murphy (D-CT) and Rep. Greg Casar (D-TX). This legislation would prohibit trades related to non-financial government actions, such as terrorism, war, or any event where individuals could control or know the outcome in advance. It would also ban bets on entertainment events like the Oscars or Super Bowl halftime shows, aiming to prevent scenarios where outcomes can be rigged or unfairly influenced.

Other bills focus on comprehensive regulation, sports betting conflicts, and outright bans on trading related to terrorism, assassination, or illegal activities. For example, Senator Richard Blumenthal (D-CT) has proposed the “Prediction Markets Security and Integrity Act,” which would introduce age verification, ban AI targeting of gamblers, and shift regulatory authority from federal to state governments. Rep. Dina Titus (D-NV) wants to ban sports trades and casino-style games from prediction markets, while the bipartisan “Event Contract Enforcement Act” seeks to strengthen existing laws against trading on violent or illegal events.

Insider Trading and Manipulation: The Wild West of Prediction Markets

Despite efforts by platforms and regulators, prediction markets remain vulnerable to manipulation and insider trading. Recent controversies have highlighted how traders with access to nonpublic information can profit from events before they become widely known. For instance, a $553,000 bet on Polymarket predicted the ousting of Iran’s Supreme Leader just before a military strike, raising suspicions of military leaks. Similarly, a trader made over $400,000 by betting on a secret U.S. raid in Venezuela, suggesting that some users are exploiting privileged information.

These incidents have fueled accusations that prediction markets operate like the “Wild West,” with users getting “suckered” by insiders who can move markets with a single trade. Experts warn that when a single trader can force or manipulate the outcome of a market, the platform’s credibility is at risk. This is especially true for contracts tied to events that can be influenced by one person’s actions, such as filing documents, staging disruptions, or leaking information. In such cases, prediction markets stop being tools for honest forecasting and become vehicles for engineered outcomes.

Platforms like Kalshi and Polymarket claim to enforce strict rules against insider trading and manipulation. Kalshi, which is regulated by the Commodity Futures Trading Commission (CFTC), uses customer verification and surveillance similar to stock markets. However, critics argue that enforcement is inconsistent and that the platforms’ rapid growth has outpaced regulatory oversight. Investigations into suspicious trades are ongoing, but the sheer volume of activity—over $44 billion in 2025 alone—makes comprehensive policing difficult.

Political Influence and the Blurring Line Between Betting and Democracy

The rise of prediction markets has also sparked debate about their impact on democracy and political processes. In the California governor’s race, for example, market odds have consistently favored Eric Swalwell since he entered the race, even as polls show a wide-open contest. Swalwell has cited his strong performance in prediction markets as evidence of his campaign’s momentum, using market data to boost his public image.

Critics, including Assemblymember Maggy Krell (D-Sacramento), worry that prediction markets could influence elections by shaping public perception and generating support for certain candidates. There are concerns that favorable odds might create a bandwagon effect, while negative odds could damage opponents’ campaigns. Some candidates, such as Antonio Villaraigosa and Betty Yee, have pledged to crack down on prediction markets if elected, arguing that they threaten the integrity of democratic processes.

The debate extends to questions of transparency and disclosure. Lawmakers are considering rules to ban elected officials, candidates, and lobbyists with insider information from betting on political outcomes. There are also proposals to prohibit advertising targeting minors and to protect young people from participating in these markets. The Attorney General Rob Bonta has supported legal actions against platforms like Kalshi, citing similarities to sports betting products that are subject to stricter laws.

Legal and Regulatory Challenges: Who Should Police Prediction Markets?

The legal status of prediction markets remains unsettled. The CFTC regulates these platforms as commodity futures exchanges, but many states view them as unlicensed gambling operations. For example, Arizona has filed criminal charges against Kalshi for allegedly running an illegal gambling business, while other states have pending civil lawsuits. The CFTC has defended its jurisdiction, arguing that state gambling laws do not apply to federally regulated events.

This patchwork of regulations has created confusion and uncertainty for both users and operators. Some experts, like gaming law professor I. Nelson Rose, argue that the CFTC lacks the expertise to oversee prediction markets outside of financial contexts. Many states prohibit betting on elections due to risks of bribery or undue influence, especially in smaller races where a few large bets could sway outcomes.

Platforms have responded by enforcing their own rules, such as barring underage users and blocking politicians or government employees from betting where they might hold nonpublic information. However, enforcement is uneven, and some individuals have reported being blocked from trading despite being candidates themselves.

Societal Impact: Gambling, Addiction, and the Future of Prediction Markets

The explosive growth of prediction markets has raised broader concerns about gambling addiction and financial harm. Surveys show that nearly one-third of Americans now view sports betting as a form of investment, and the average annual spending on gambling by bettors is over $3,000. About 14% of bettors report going into debt due to gambling losses, highlighting the risks associated with both traditional and predictive betting.

Experts warn that prediction markets share many of the same behavioral risks as sports betting, including the potential for addiction, financial distress, and negative impacts on families. The ease of access—via smartphones and computers—has made it easier than ever for people to participate, often without fully understanding the risks or tax obligations associated with their winnings.

Tax compliance is another growing issue. Many bettors fail to report their earnings properly, risking penalties or fraud charges. As prediction markets continue to expand, lawmakers and regulators will need to address these challenges to protect consumers and ensure the integrity of the markets.

The Road Ahead: Balancing Innovation and Regulation

Prediction markets are at a crossroads. Their ability to provide real-time insights into political, economic, and social trends makes them valuable tools for both individuals and institutions. However, the risks of manipulation, insider trading, and societal harm cannot be ignored. Lawmakers are moving quickly to impose new rules, but the industry’s rapid evolution means that regulation will need to be flexible and responsive.

Platforms must take proactive steps to design contracts that are resistant to manipulation and to enforce strict standards for participation. At the same time, regulators must balance the benefits of prediction markets with the need to protect consumers and maintain public trust. The outcome of this debate will shape the future of prediction markets—and their role in American society—for years to come.

As the story continues to unfold, one thing is clear: prediction markets are no longer a niche curiosity. They have become a major force in the worlds of finance, politics, and entertainment, and their impact will only grow as technology and regulation evolve. The challenge now is to ensure that this new era of betting and information serves the public good, rather than undermining the very events it seeks to predict.