Key Takeaways
If you’ve seen any major sporting events or awards shows in the past few months, you might already be aware of the sudden popularity of prediction markets. From betting on who’s winning a certain award to which team will take home the trophy, this craze began in 2024 when Kalshi, a derivatives exchange and clearinghouse, allowed people to bet on that year’s presidential election results. This gave way to event contracts, in which a payoff is provided based on the occurrence or non-occurrence of events.
But the mainstream wasn’t always where prediction markets played. Once upon a time, they were reserved for experts in niche industries to forecast events. Truthfully, today’s model isn’t far from what oracles in ancient times did—whether claiming to receive divine knowledge or using cultural customs to predict outcomes.
However, the game changed the moment an overflow of capital got involved, triggering the industry’s rapid expansion. Prediction markets in sports, for instance, have sparked controversy in the US by being regarded as a loophole for gambling as the industry gets more regulated. The stakes are higher today, and so are the prediction markets regulatory risks.
The 2026 Landscape: Understanding Prediction Markets
Prediction market dynamics have changed so quickly that we must understand their current state to know where their risks lie.
As they stand, prediction markets operate in two different types of platforms: freestanding/designated contract markets (DCMs) and offshore/introducing brokers (IBs). For example, companies like Kalshi and Polymarket are considered DCMs as they have registered with the Commodity Futures Trading Commission (CFTC) to offer event contracts. On the other hand, we have brokers like Robinhood and Crypto.com, trading companies that allow their users to participate in prediction markets by partnering with federally regulated derivatives exchange companies or DCMs.
The Legal Edge of Prediction Markets Risks
The current success of prediction markets might start stirring a new wave of entrepreneurs eager to dive into this trend. However, as a quickly evolving industry, it’s crucial to study its risks before dipping your toes.
The legal front might be the murkiest of all, requiring extra attention and intention to register a prediction market company. For one, registering with the CFTC is quite an intensive and lengthy process. There’s also the possibility of setting up shop in a more flexible jurisdiction, such as Mauritius and Vanuatu, but this can add more complexity when intending to operate in the US.
Needless to say, although Kalshi won its battle with the CFTC back in 2024, which allowed them to offer event contracts on affairs like political events and sports—and the commission has since softened under the current administration—states like New York and Illinois are still fighting back against companies.
Moreover, the casino industry is also showing discontent with the sudden rise of prediction market companies, filing around 20 federal court lawsuits against industry leaders.
The Operational and Financial Hazards of Event Contracts
Beyond the sports betting loophole lawyers claim prediction markets to be, operational risks remain. For instance, the industry has been linked to possible insider trading and market manipulation tactics, as anyone—including those directly influencing the outcomes of events—can participate in it.
And, just like any trading infrastructure that stood the test of time, deep liquidity is crucial for big players to bet as much as they want in the market without breaking it. This means that, in order for the finances to be there, the market needs to become credible and thus sustainable.
De-Risking Fintech
The industry may be having a major moment right now, where this doesn’t necessarily matter. However, in the long run, any prediction market company built to last must become a playground for feasible market prediction, not just guesswork that seeks to beat the books.
Overall, risk managers must understand that the industry’s biggest risk today won’t involve capital, but rather the quick adoption of regulatory requirements that might drastically move the needle from one moment to the next.
Federal or State Law: The Core of Regulatory Uncertainty
The crux of the industry’s current complexities is synthesized in federal and state-level legislative disparities. Although companies are being shielded by federal government regulators, individual state gaming regulators are still pursuing legal action.
The CFTC views event contracts as commodities that are traded and kept for a short amount of time. On paper, there are no issues. However, in areas like sports, the ability to do financial trading on sport event contracts, some argue, is nearly indistinguishable from sports betting.
In the interest of consumer protection, attorneys general are usually more aggressive when it comes to litigation against such companies—especially since gambling activity yields serious revenue in local taxes, while event contracts don’t.
When federal administrations change their stance on regulations, state regulators are usually the ones to fill in the legal gaps that might directly affect the well-being of their citizens and affect market integrity. As many states have tightened their laws around gaming activities, prediction market companies are also bearing the brunt of these rules despite operating under the commodities trading label.
These blurred lines make legality unpredictable in several US jurisdictions, acting as a tax on innovation that forces operators to spend more on legal fees than on product development.
Sports Prediction Markets: Innovation or Unlicensed Gambling?
The prediction market’s most contested argument is that companies are still somehow acting as sports betting and other gambling sites, especially when it comes to sports. Kalshi is currently battling these perceptions, more importantly, debating the definition of market makers and a house.
Prediction market platforms define themselves as anti-establishment, allowing people to hedge on affairs against other traders through event contracts, not a regular house, the way a casino would—the powerful entity that sets prices and has a competitive advantage over gamblers. But, for a “market” to be traded, it defines strikes and seeks initial bidders, called “market makers.”
The Sports Prediction Market Spillover
In favor of prediction market companies, trading in these events against other users is rooted in sentiment, probabilities, and beliefs, whereas betting sites strictly place users against a bookmaker that sets odds. However, user dynamics play out similarly in both industries, with public interest possibly treating trading as a proxy for gambling.
If you’re familiar with match-fixing (when those taking part in a sports match influence its outcome to benefit from higher gambling earnings), it isn’t difficult to see how Kalshi or Polymarket trading on political outcomes can be problematic. Many regulators have asserted that such incentives could invite insiders to rig the outcome of important events such as elections, affecting other industries beyond sports and politics.
Unfortunately, this same scrutiny is spilling over to areas like supply chain forecasting, where probability markets are useful for planning, budgeting, and other financial and operational activities.
Why Prediction Market Operators Are Pivoting Their Business Model
A recent development in the prediction market industry comes from partnerships between IBs and DCMs. As a means to better handle regulatory and liquidity constraints, DCMs are beginning to offer B2B services to seek new revenue streams rather than staying as a single end-to-end solution for users. Instead, their services can be accessed through established trading platforms.
Like any company dealing with financial aspects, IBs are known for having very strong Know Your Customer (KYC) and Anti-Money Laundering (AML) stances, which are vital to staying compliant in the trading environment. For prediction market companies, collaborating with these platforms simplifies these compliance processes while giving them a competitive advantage over consumer-facing event contract platforms that have to grapple with these rules on their own.
This B2B route, in turn, can propel prediction market companies into a more stable terrain, helping them gain more institutional backing from hedge funds, insurance pools, and other heavyweight investment businesses.
Managing Regulatory Risks In a Real-Time World
In the past, insider trading was largely a stock market problem. Today, prediction markets face a unique threat: Material Non-Public Information (MNPI) regarding everything from a sudden FDA rejection to a leaked legislative vote that affects the outcome of an event contract.
To avoid the risks of MNPI influencing trading, prediction market operators are shifting from reactive audits (checking what happened yesterday) to proactive, AI-driven monitoring. This involves:
- Anomaly detection: Algorithms now flag trades that precede major news events by minutes. If a wallet suddenly drops $500,000 on a specific outcome an hour before a surprise court ruling, the system triggers a compliance hold.
- Shadow intelligence: Sophisticated platforms are cross-referencing on-chain data with public social signals. If a trader’s conviction perfectly mirrors a private corporate leak, the platform can freeze the payout before the regulator even opens a file.
- The “kill switch” culture: Operators are building geo-fencing and contract-specific kill switches that can pause trading in milliseconds if a local Attorney General issues a challenge, preventing the red tape from turning into a legal proceedings nightmare.
The Insurance Angle: Regulatory Contingency Insurance
Rapid tech development, innovative founders, and regulators have been playing a cat-and-mouse game for some time now, trying to chase whoever moves quickest. As a result, the insurance space has developed Regulatory Contingency Insurance to help turn promising companies in emerging industries into insurable and thus thriving businesses.
In the same way a shipping company insures against a blocked canal, prediction market operators are now insuring against possible regulatory blockages.
For example, insurers specializing in fintech are conceiving policies that provide a liquidity bridge when a company’s assets get frozen by a government agency, ensuring non-implicated users can still withdraw funds from their traded event contracts, preserving the platform’s reputation.
This novel coverage also includes clawback protection that underwrites the risk of a nullified contract. This means that, in the case a court rules a specific event contract—such as a high-stakes election market—was unlawful after the fact, the policy helps cover the administrative and legal costs of reversing the trades.
Brokers are also offering a specialized type of Directors and Officers (D&O) insurance that specifically triggers during CFTC or state-level enforcement actions to ensure that a legal battle doesn’t bankrupt the firm’s leadership.
These industry-specific packages are perhaps some of the most innovative moves the insurance industry has made to help companies evolve with confidence during an aggressive regulatory landscape.
Although uncertainty is the name of the game when it comes to the prediction market industry, proper risk management can help de-escalate potential hazards for nascent businesses looking to diversify the trading environment. It’s key for founders to stay informed, build a proper risk management strategy that shields them from the hardships of evolving regulations, and seek expert help when it comes to insurance.