What Are Prediction Markets and Why Are They Growing?
Prediction markets are online platforms where people can buy and sell contracts based on the outcome of future events. These events can range from political elections and sports games to entertainment awards and even global crises. The price of each contract reflects the market’s collective estimate of the probability that a certain event will happen. If the event occurs, the contract pays out a fixed amount, usually one dollar. If not, it pays nothing. This system allows users to profit from their ability to predict real-world outcomes, and it also provides a unique way to measure public sentiment on important issues.
In recent years, prediction markets have gained significant attention due to their ability to harness the “wisdom of crowds.” Supporters argue that these markets can produce more accurate forecasts than traditional polling or expert analysis. The rise of cryptocurrency and blockchain technology has further fueled the growth of these platforms, making it easier for users to participate from anywhere in the world. As a result, prediction markets are now influencing not just gamblers and hobbyists, but also investors, policymakers, and even television writers.
Wall Street Regulators Move to Oversee Crypto and Prediction Markets
Yesterday, the most widely reported story in the world of prediction markets centered on a major regulatory shift. Wall Street’s top regulators, the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC), advanced plans to oversee both the cryptocurrency industry and the rapidly expanding prediction market sector. After months of public debate and political wrangling in Congress, these agencies submitted their proposals to the White House, marking a pivotal moment for the future of financial markets.
While the details of these regulatory plans remain limited, the move signals a new era of government involvement in prediction markets. The SEC and CFTC have long supervised traditional financial products like stocks and derivatives, but prediction markets have operated in a legal gray area. By stepping in, regulators hope to address concerns about market integrity, consumer protection, and the potential for manipulation or insider trading.
This regulatory push is expected to have significant, long-term implications for both the financial industry and the broader economy. It could lead to stricter rules for platforms that offer prediction contracts, especially those dealing with sensitive topics like politics, war, or public health. At the same time, it may open the door for more mainstream adoption of prediction markets, as greater oversight could boost public trust and attract institutional investors.
AI and Corporate Restructuring: The Case of Underdog
The impact of prediction markets is not limited to government policy. Companies in the sports betting and fantasy sports sectors are also feeling the effects. Underdog, a company best known for daily fantasy sports, recently laid off more than 20% of its staff—at least 125 employees—as part of a strategic shift toward prediction markets and increased reliance on artificial intelligence (AI).
This restructuring affected multiple departments, including fraud operations, customer support, graphics, and marketing. The company’s CEO, Jeremy Levine, explained that the layoffs were necessary to transition from a state-by-state business model to a national platform offering seamless prediction market services across the country. The move also reflects a broader trend in the industry, where companies are betting that AI can replace many traditional roles and streamline operations.
Employees at Underdog reported that AI played a significant role in the layoffs. The company had been integrating AI tools for about a year, especially in customer support, and some soon-to-be-laid-off workers were asked to help train these systems. Team leaders evaluated staff on their use of AI, and the company promoted AI adoption through all-hands meetings and enterprise accounts for tools like ChatGPT and Claude.
This shift toward AI-driven prediction markets is not unique to Underdog. Other companies, such as DraftKings, have also conducted layoffs while investing in prediction market initiatives and developing “super apps” that combine sportsbooks, prediction markets, casino games, and lotteries. These changes highlight how AI technologies and prediction markets are reshaping the staffing needs and business models of the sports betting industry.
Controversy and Ethics: Betting on War and Catastrophe
As prediction markets grow, so do concerns about their ethical implications. One of the most controversial stories from yesterday involved Polymarket, a crypto-based prediction market platform. The company quietly removed a market that allowed users to bet on whether a nuclear weapon would detonate within specific timelines. Before its removal, the market had attracted nearly $850,000 in bets, and Polymarket had tweeted a 22% probability of a nuclear detonation by the end of 2026.
Critics condemned the platform for monetizing potential catastrophic events and questioned the morality of profiting from war and nuclear conflict. Some experts warned that such markets could create perverse incentives or even influence real-world decisions, especially if government insiders or those with military power participate. The incident sparked a broader debate about the role of prediction markets in society and whether certain topics should be off-limits.
Despite the backlash, Polymarket defended its approach, arguing that prediction markets provide valuable information during crises by harnessing collective wisdom. However, analysts like Dustin Gouker countered that betting on nuclear weapons use is inappropriate and poses risks of false signals or insider trading. The controversy highlights the need for clear ethical guidelines and regulatory oversight as prediction markets expand into sensitive areas.
Legal Battles: States Push Back Against Prediction Markets
The rapid growth of prediction markets has also triggered legal battles across the United States. Rep. Dina Titus of Nevada, whose district includes the Las Vegas Strip, has introduced legislation aimed at eliminating prediction market contracts related to sports betting. Her bill targets companies like Kalshi and Polymarket that offer “yes or no” wagers on a wide range of events, including sports, politics, and pop culture.
Prediction markets are federally regulated by the CFTC, which does not impose state gaming taxes on these businesses. Titus argues that the CFTC lacks the expertise and resources to regulate nationwide gaming activities effectively. She also criticizes the lack of consumer protections in prediction markets compared to state-regulated sportsbooks, pointing to issues like the absence of responsible gaming programs, anti-money laundering compliance, and integrity monitoring.
Nevada’s Gaming Control Board has taken legal action against Kalshi for operating unlicensed wagering within the state. Over 20 states have filed legal challenges against Kalshi and similar companies, and some have temporarily blocked these platforms from offering sports-related contracts. The 9th Circuit Court of Appeals recently ruled that Nevada could block Kalshi’s operations, and state regulators have filed civil enforcement actions that could force the company to suspend local operations.
These legal battles reflect a broader struggle between traditional gaming interests and new prediction market platforms. Supporters of state-regulated sports betting argue that their systems offer stronger safeguards for consumers and maintain industry integrity. They worry that prediction markets, if left unchecked, could undermine these protections and erode the tax base that supports public services.
How Prediction Markets Work: The Example of Kalshi
To understand the appeal of prediction markets, it helps to look at how they operate in practice. Kalshi is a federally regulated exchange that allows users to trade “event contracts” on real-world outcomes. Each contract is a simple yes/no question, such as “Will Korea win against Czechia in the World Baseball Classic?” The price of the contract, which ranges from $0.01 to $0.99, reflects the market’s estimate of the probability that the event will occur.
For example, in a recent World Baseball Classic matchup between Czechia and Korea, the contract price for Korea winning was 95 cents, implying a 95% probability of victory. If Korea won, the contract paid out $1; if not, it paid nothing. This system allows users to profit from their knowledge or research, and it also provides a transparent way to track public expectations.
Unlike traditional sports betting, prediction markets like Kalshi operate more like a stock market for real-world events. Users can buy and sell contracts at any time, and prices fluctuate based on supply and demand. This dynamic trading environment can lead to more accurate forecasts, as new information is quickly incorporated into prices.
Prediction Markets in Pop Culture and Media
Prediction markets are not limited to politics and sports. They are also making their way into pop culture and entertainment. For example, the HBO series Industry recently introduced a mini prediction market themed around its upcoming fifth season. Fans can “bet” on plot developments, character arcs, and even potential cameos by real-world tech figures like Sam Altman and Dario Amodei.
This playful use of prediction markets reflects their growing influence in shaping public conversation and engagement. By allowing fans to speculate on storylines and outcomes, these markets create a new form of interactive entertainment. They also demonstrate the versatility of prediction markets as tools for measuring collective opinion, whether in finance, politics, or pop culture.
The Future of Prediction Markets: Opportunities and Challenges
The future of prediction markets is uncertain but full of potential. On one hand, these platforms offer a powerful way to aggregate information and improve decision-making. They can help investors, policymakers, and ordinary citizens make better choices by providing real-time forecasts on important issues. The integration of AI and blockchain technology promises to make prediction markets even more efficient and accessible.
On the other hand, the rapid growth of prediction markets raises serious questions about regulation, ethics, and social impact. As seen in the controversies over betting on war and nuclear conflict, there is a risk that prediction markets could incentivize harmful behavior or exploit sensitive topics. Legal battles between states and market operators highlight the need for clear rules and strong consumer protections.
Ultimately, the challenge for regulators, companies, and users is to balance the benefits of prediction markets with the need to protect the public interest. As Wall Street regulators move forward with new oversight plans, the coming months will be crucial in shaping the future of this fast-evolving industry.
Conclusion: A Turning Point for Prediction Markets
Yesterday’s news marks a turning point for prediction markets. With Wall Street regulators advancing plans to oversee the industry, and companies like Underdog and Polymarket making headlines for their strategic shifts and controversies, the sector is at a crossroads. The outcome of ongoing legal battles, regulatory debates, and technological innovations will determine whether prediction markets become a mainstream tool for forecasting and investment—or remain a niche, controversial corner of the financial world.
As prediction markets continue to grow, their influence on finance, politics, sports, and culture will only increase. The challenge now is to ensure that this growth is managed responsibly, with strong safeguards and ethical standards in place. Only then can prediction markets fulfill their promise as a valuable source of insight and innovation for society as a whole.
