CFTC Chair: Prediction Markets Are “The Next Crypto” as Washington Signals a New Era for Digital Finance

Prediction markets may be approaching the kind of expansion that turned cryptocurrency from a narrow experiment into a global financial industry. That is the view of Commodity Futures Trading Commission Chairman Michael Selig, who argues that event-based markets are evolving beyond their original use cases and could eventually support a broad range of products built on blockchain infrastructure. His comparison is also a regulatory warning: if prediction markets are about to experience their own wave of innovation, the CFTC intends to preserve its authority over the sector before state regulators, gambling authorities and competing agencies create a fragmented system.

Selig compared the current state of prediction markets with crypto’s early years, when digital assets were largely associated with payments and speculative trading. Over time, blockchains became the foundation for stablecoins, decentralized exchanges, lending protocols, tokenized securities, digital collectibles and automated financial applications. He expects a similar progression in event contracts. “I think we’ll see the exact same thing,” Selig said. “That’s why it’s critical we maintain our jurisdiction.”

Prediction Markets Are Expanding Beyond Simple Wagers

Prediction markets allow participants to trade contracts based on whether a future event will occur. Those events may involve elections, economic data, interest-rate decisions, commodity prices, weather conditions, company milestones or sporting outcomes. Contract prices generally reflect the market’s collective estimate of the probability of a particular result.

The format is often described as betting because users can profit by correctly anticipating an outcome. Supporters, however, argue that prediction markets can perform a broader economic function. They can aggregate dispersed information, produce real-time probability estimates and allow businesses or investors to hedge risks that are difficult to manage through conventional financial instruments.

A company exposed to extreme weather could use event contracts to offset potential losses. An investor could hedge against a central-bank decision, a regulatory event or an economic release. A logistics business could protect itself against disruption at a major port, while an energy company could manage exposure to temperature-related demand. These products may resemble wagers at the surface level, but their economic value can become more substantial when they are tied to measurable business risks.

Selig’s argument is that the current generation of prediction markets represents only the first stage. Just as crypto moved from payments into programmable finance, event contracts could become building blocks for entirely new risk-management and information markets.

Blockchain Could Turn Event Contracts Into Financial Infrastructure

Blockchain technology is central to Selig’s comparison. Public networks can support transparent trading, automated settlement and continuous access without requiring every transaction to pass through a traditional market intermediary. Smart contracts can define the conditions of an event, hold collateral and distribute payouts when an outcome is verified.

The most important development may not be a larger number of standalone prediction platforms. It may be the integration of event contracts with other on-chain financial products. A tokenized bond could be linked to a contract tracking interest-rate decisions. A decentralized lending platform could adjust collateral requirements based on an economic prediction market. An insurer could use weather contracts to automate payouts, while stablecoins could settle positions immediately after an event is resolved.

This kind of integration would turn prediction markets into programmable financial components rather than isolated products. Developers could combine them with tokenized assets, digital identity systems, automated trading strategies and decentralized finance protocols. The result could be a market in which information about future events becomes directly usable across financial applications.

Artificial intelligence could accelerate that transition. AI agents may eventually monitor thousands of markets, assess real-time information and use event contracts to manage risk or make automated business decisions. Prediction markets could also provide machine-readable probability signals for software systems that need to operate under uncertainty.

The CFTC Is Defending Its Regulatory Territory

Selig’s comments are as much about jurisdiction as innovation. The CFTC considers many prediction-market products to be derivatives governed by the Commodity Exchange Act. From the agency’s perspective, federally regulated event contracts belong under a national commodities framework rather than a patchwork of state gambling laws.

Several states and gaming regulators have challenged that position, particularly when platforms offer contracts linked to sports. They argue that products resembling sports wagers should comply with state gambling rules, licensing requirements and consumer protections. Prediction-market operators respond that their products are federally regulated derivatives and therefore fall within the CFTC’s exclusive jurisdiction.

The distinction is commercially significant. A prediction platform regulated primarily at the federal level could potentially offer products across the country under a relatively unified framework. If each state is allowed to classify and regulate contracts independently, platforms could face different rules, bans and licensing obligations in every jurisdiction.

Selig believes that fragmentation would suppress innovation and encourage users to move toward offshore or unregulated platforms. Maintaining CFTC jurisdiction, in his view, is necessary to create a national market in which companies can develop new products without navigating dozens of conflicting regulatory regimes.

Sports Contracts Are Testing the Boundaries

Sports-related prediction contracts have become one of the most controversial parts of the industry because they blur the line between financial derivatives and conventional gambling. A contract tied to an election result or an inflation report can be framed as a tool for information discovery or economic hedging. A contract tied to the winner of a football game is more difficult to distinguish from a sports bet.

That ambiguity has already produced legal confrontations between prediction-market operators and state regulators. Platforms have argued that contracts approved or overseen through the federal derivatives framework cannot be prohibited under state gaming laws. States have countered that federal registration should not provide a route around local gambling restrictions.

The outcome of these disputes could determine how large the American prediction-market sector can become. If courts broadly support federal preemption, operators may gain room to expand nationally. If states retain substantial authority, prediction platforms may have to limit products, obtain local licenses or withdraw from certain markets.

The CFTC’s defense of its jurisdiction therefore has consequences beyond regulatory theory. It will shape which products can be offered, where they can be traded and whether prediction markets develop as financial exchanges, gambling alternatives or a hybrid of both.

Why the Crypto Comparison Matters

Selig’s reference to crypto reflects the speed with which a narrowly defined technology can generate unexpected industries. Bitcoin initially appeared to be a peer-to-peer payment system and alternative monetary asset. The broader blockchain ecosystem eventually produced stablecoins, decentralized finance, tokenized real-world assets and financial applications that had little resemblance to Bitcoin’s original purpose.

Prediction markets may follow a comparable path. Today’s most visible products revolve around elections, sports and major news events. Future applications could focus on business risk, supply chains, public health, insurance, energy demand, legal outcomes, product launches or geopolitical disruption.

A corporation could use internal prediction markets to forecast sales or project deadlines. Asset managers could incorporate event probabilities into portfolio decisions. Insurance products could rely on markets to price emerging risks. Governments and researchers could use aggregated forecasts to evaluate public policy scenarios.

The sector’s eventual value may therefore come less from speculative contracts and more from its ability to turn uncertainty into a tradable, measurable signal. That was one of crypto’s major transformations: the technology became more important when developers began building systems around it rather than treating the original asset as the final product.

Institutional Demand Could Reshape the Market

Prediction markets have largely been associated with retail users, political enthusiasts and crypto traders, but institutional participation could change their structure. Businesses already use futures, options and swaps to manage exposure to currencies, interest rates, energy prices and commodities. Event contracts could extend that toolkit to risks that are difficult to express through traditional instruments.

A manufacturer might want protection against a tariff announcement. A pharmaceutical company could hedge uncertainty around a regulatory decision. An airline could trade contracts linked to severe weather or airport disruptions. An investment fund might use markets tied to elections, legislation or central-bank policy as part of a broader risk-management strategy.

Institutional adoption would require deeper liquidity, stronger surveillance and clearer rules governing market manipulation and confidential information. It would also require reliable systems for determining outcomes. A contract is only as credible as the mechanism used to decide whether the underlying event occurred.

Blockchain can improve transparency around collateral and settlement, but it cannot independently solve every governance problem. The market still needs trusted data providers, dispute procedures and protections against attempts to influence either the event or the resolution process.

Manipulation and Insider Information Remain Serious Risks

Prediction markets create unusual regulatory challenges because traders may possess information that is not available to the public. In conventional securities markets, trading on material nonpublic information can violate insider-trading laws. Event markets may involve outcomes for which the legal treatment of private knowledge is less clearly defined.

A campaign employee could trade on internal polling. A corporate executive might know whether a product launch will be delayed. A government official could have advance information about a policy decision. A participant might even be able to influence the outcome of a smaller event while holding a position tied to it.

These risks become more serious as contract values and liquidity increase. Regulators will need to determine when informed trading improves market accuracy and when it becomes manipulation or misuse of confidential information.

Consumer protection is another concern. Prediction markets can attract participants who treat them as entertainment rather than financial products. Highly volatile contracts may encourage frequent speculation, while the simplicity of a yes-or-no outcome can conceal substantial risk. Platforms will face pressure to introduce trading limits, disclosures and surveillance systems without eliminating the accessibility that makes the products attractive.

The CFTC Wants Rules Before the Market Explodes

Selig’s comments suggest that the CFTC does not want to repeat the regulatory uncertainty that defined much of the crypto industry’s development. For years, digital-asset companies operated without clear agreement over whether particular tokens were securities, commodities or something else entirely. Enforcement actions often arrived before comprehensive legislation, creating uncertainty for both companies and investors.

Prediction markets could encounter the same problem if regulators fail to establish boundaries early. The CFTC will need to clarify which event contracts serve a legitimate hedging or information function, which products conflict with public policy and which should be prohibited.

The Commodity Exchange Act already gives the agency authority to review certain event contracts and restrict products involving areas such as terrorism, assassination, war, gaming or activities considered unlawful under state or federal law. The challenge is applying those categories to a rapidly evolving market where financial instruments and entertainment products increasingly overlap.

A predictable framework could encourage companies to build compliant platforms in the United States. An unclear or overly restrictive approach could push activity toward offshore markets that provide fewer protections and less transparency.

Prediction Markets Could Become a Major On-Chain Sector

Whether prediction markets become “the next crypto” will depend on more than regulatory support. The industry needs durable liquidity, reliable settlement, credible outcome verification and products that solve real problems beyond short-term speculation.

The opportunity is nevertheless substantial. Prediction markets convert expectations into prices, and those prices can become valuable data for investors, businesses, governments and autonomous software. When combined with blockchains, stablecoins and smart contracts, event probabilities can be integrated directly into financial transactions.

The sector could eventually sit alongside decentralized exchanges, lending protocols and tokenized assets as another major category of blockchain-based finance. Its growth may also strengthen demand for networks capable of processing high volumes of low-cost transactions and settling markets continuously.

Selig’s message is ultimately both optimistic and defensive. He sees prediction markets developing into a much broader industry, but he also believes that growth depends on preserving the CFTC’s role as the primary federal regulator. The agency does not want prediction markets to be defined exclusively as gambling, nor does it want state-by-state rules to determine the sector’s future.

Crypto demonstrated how quickly a specialized technology can evolve into a global financial ecosystem. The CFTC chairman believes prediction markets may be approaching a similar inflection point. The next battle will determine whether that expansion takes place under a unified federal framework—or becomes another fragmented contest over the boundaries of digital finance.