When Kalshi, a federally regulated prediction market, won its legal battle to offer contracts on U.S. congressional elections in 2024, it didn’t just open a new trading venue — it cracked open a philosophical debate that has simmered for decades. Are prediction markets sophisticated instruments for aggregating collective intelligence, or are they simply gambling dressed in the respectable clothing of financial innovation? The answer, increasingly, appears to be both — and the implications for regulators, investors, and society are profound.
The surge in popularity of prediction markets has been nothing short of extraordinary. Polymarket, the crypto-based platform that operates offshore, processed billions of dollars in trading volume around the 2024 U.S. presidential election. Kalshi, its domestically regulated counterpart, saw its user base explode after a federal court cleared the way for election contracts. Meanwhile, platforms like PredictIt and the Iowa Electronic Markets, once the quiet academic corners of this world, have watched as their niche pursuit became a mainstream phenomenon.
From Academic Experiment to Mass Market Phenomenon
The intellectual origins of prediction markets are rooted in the efficient market hypothesis — the idea that markets, when functioning properly, aggregate dispersed information better than any single expert or poll. The Iowa Electronic Markets, launched in 1988 by the University of Iowa’s Tippie College of Business, demonstrated this principle elegantly for years, often outperforming traditional polls in predicting election outcomes. The amounts wagered were small, the participants relatively few, and the academic purpose clear.
But what has emerged in the 2020s bears little resemblance to those modest academic experiments. As Futurism reported, the modern prediction market ecosystem has evolved into something far more complex and commercially ambitious. Platforms now offer contracts on everything from Federal Reserve interest rate decisions and GDP figures to celebrity gossip, weather events, and whether specific politicians will resign. The sheer breadth of available markets has raised uncomfortable questions about where forecasting ends and pure speculation begins.
The Regulatory Tug-of-War That Defined an Industry
The Commodity Futures Trading Commission (CFTC) has been the primary regulatory body wrestling with prediction markets for years. For much of the past two decades, the agency took a skeptical stance, arguing that many event contracts were essentially gaming contracts that fell outside its purview — or worse, that they constituted illegal gambling under federal law. The CFTC blocked the North American Derivatives Exchange (Nadex) from listing political event contracts in 2012, and for years it maintained a similar posture toward other platforms seeking to offer election-related trading.
Kalshi challenged this orthodoxy head-on. The New York-based exchange, founded in 2018 by MIT graduates Tarek Mansour and Luana Lopes Lara, applied to list contracts on which party would control Congress. When the CFTC rejected the application, Kalshi sued — and won. In September 2024, a federal appeals court ruled that the CFTC had overstepped its authority, and Kalshi began offering election contracts almost immediately. The decision represented a watershed moment, effectively establishing that at least some political event contracts could be legally traded on regulated exchanges in the United States.
Billions in Volume, and the Question of Who’s Trading
The numbers tell a striking story. Polymarket reported over $3.5 billion in trading volume on the 2024 presidential election alone, according to multiple reports. A single trader, widely identified by the pseudonym “Théo,” reportedly wagered tens of millions of dollars on Donald Trump’s victory, drawing scrutiny from market observers and journalists alike. Kalshi, while smaller in absolute volume, saw dramatic growth in its user base and trading activity following the court ruling.
But the composition of these markets’ participants raises important questions. As Futurism noted, many users of prediction markets are not sophisticated traders seeking to hedge risk or institutional investors deploying capital based on superior information. They are, by and large, retail participants — many of them young men drawn by the same impulses that fuel sports betting and meme stock trading. The gamification of these platforms, with their sleek mobile interfaces and social media integration, has made placing a bet on geopolitical outcomes as easy as ordering food delivery.
The Information Value Argument Under Scrutiny
Proponents of prediction markets have long argued that their primary value lies in information aggregation. Robin Hanson, an economist at George Mason University who has championed prediction markets for decades, has argued that they produce uniquely valuable probability estimates that can inform decision-making across government and business. The logic is compelling: if thousands of people with diverse information sets are putting real money behind their beliefs, the resulting prices should reflect a more accurate picture of reality than any single forecast.
There is genuine evidence supporting this view. Research has repeatedly shown that prediction market prices tend to be well-calibrated — events priced at 70% probability do, in fact, occur roughly 70% of the time. During the 2024 election cycle, prediction markets arguably provided a more nuanced and rapidly updating picture of the race than traditional polling averages, particularly in the final weeks of the campaign.
When the Market Becomes the Story
Yet the information-value argument grows more strained as prediction markets expand into increasingly trivial or sensational territory. Contracts on whether a celebrity couple will divorce, whether a specific tweet will be posted, or whether a particular city will experience snowfall on Christmas Day are difficult to justify as socially valuable information-aggregation tools. They are, functionally, novelty bets — and the platforms offering them know it.
There is also the troubling feedback loop that emerges when prediction markets become influential enough to shape the events they purport to forecast. During the 2024 election, prediction market odds were cited constantly by media outlets, campaign operatives, and political commentators. When Polymarket showed Trump’s probability of winning surging in October 2024, the shift itself became a news story, potentially influencing voter enthusiasm, donor behavior, and media coverage. This reflexivity — where the measurement instrument affects the thing being measured — undermines the claim that prediction markets are passive, neutral information tools.
The Sports Betting Parallel and Its Lessons
The rapid expansion of prediction markets is unfolding against the backdrop of America’s dramatic embrace of legalized sports betting following the Supreme Court’s 2018 decision in Murphy v. NCAA. That ruling unleashed a torrent of state-level legalization, and within six years, legal sports betting was available in nearly 40 states. The parallels are instructive — and cautionary.
The sports betting industry promised economic benefits, tax revenue, and consumer protection through regulation. What it also delivered was a surge in gambling addiction, particularly among young adults, and a saturation of advertising that transformed the experience of watching sports. Public health researchers have documented increases in problem gambling rates in states that legalized mobile sports betting. If prediction markets follow a similar trajectory — and the demographic overlap between sports bettors and prediction market users suggests they might — the social costs could be significant.
The Moral Hazard Problem Nobody Wants to Discuss
Perhaps the most uncomfortable dimension of the prediction market debate concerns moral hazard. When real money rides on the outcome of political events, natural disasters, or public health crises, the incentive structures become deeply problematic. A market that allows traders to profit from a pandemic worsening, a terrorist attack occurring, or a political assassination creates, at minimum, an unseemly spectacle — and at worst, potential incentives for manipulation or exploitation.
The CFTC has historically cited these concerns as grounds for restricting certain types of event contracts. The agency’s so-called “public interest” test was designed to prevent markets that could be contrary to the public good. But the Kalshi ruling has weakened the agency’s ability to apply this test broadly, and the current political environment — with a Trump administration generally favorable to deregulation — suggests that the boundaries will continue to expand rather than contract.
What Comes Next for an Industry at a Crossroads
The prediction market industry now finds itself in a peculiar position. It has won many of its key legal and regulatory battles, achieved mainstream visibility, and attracted significant venture capital investment. Kalshi has raised over $170 million from investors including Sequoia Capital and Charles Schwab. Polymarket, despite operating in a regulatory gray zone, has become one of the most-visited financial websites during major news events.
But the industry’s success has also attracted the kind of scrutiny that comes with scale. State gaming regulators have begun asking whether prediction markets should be subject to gambling laws. Academic researchers are studying whether these markets are truly more accurate than alternatives, or whether their much-touted forecasting superiority is overstated. And public interest groups are raising questions about consumer protection, addiction risk, and the broader social implications of turning every newsworthy event into a tradeable proposition.
The fundamental tension at the heart of prediction markets — between their genuine informational value and their undeniable appeal as vehicles for speculation — is unlikely to be resolved anytime soon. What is clear is that the line between Wall Street and Las Vegas has never been thinner, and the consequences of that convergence are only beginning to be understood. For regulators, the challenge is not simply to permit or prohibit, but to craft a framework that preserves whatever informational benefits these markets provide while honestly confronting the reality that, for most participants, placing a bet on an election is not fundamentally different from placing a bet on a football game.