Former CFTC enforcement chief Ian McGinley on prediction market regulation, sports betting litigation, and insider trading risks

Ian McGinley on prediction markets, sports betting, and the limits of current oversight

Ian McGinley spent years as head of enforcement at the CFTC before moving to the white-collar practice at Sidley Austin, where he now helps clients navigate a regulatory environment he describes as unusually active. His earlier career at SDNY — focused on insider trading and financial crime — shapes how he reads the new problems prediction markets are creating.

Sports betting litigation

The most legally unsettled question in prediction markets right now is sports. Several states have filed lawsuits arguing that prediction market contracts on sporting events fall under state gambling jurisdiction, not federal. The states have a revenue interest: legalized sports betting generates tax income they don't want redirected to federally regulated prediction markets.

District courts have split on the question. At least one appellate court has sided with the CFTC, holding that federal preemption applies. McGinley expects the issue to reach the Supreme Court.

“These are financial instruments — called swaps — an agreement between two parties on the occurrence of an event that has some financial consequence. The prediction markets have got to catch up in terms of everyone in an industry impacted by prediction markets needs to be made aware that you can't do that, because the consequences are enormous — you wind up prosecuted by the DOJ and the CFTC.”

Insider trading and the education gap

McGinley's clearest argument is that the conduct raising alarms in prediction markets isn't legally novel — it's just happening in a new venue. The CFTC's allegations against a service member tied to the Venezuela military operation, and separately the George Santos manipulation case (where the allegation is that Santos posted on social media to move odds on a contract about whether he'd attend the State of the Union), both involve conduct that would be straightforwardly illegal in traditional financial markets.

The gap, he says, is awareness. Equity and commodities markets have decades of compliance infrastructure — employee training, written policies, institutional oversight. Prediction markets have none of that yet, and the universe of people who could find themselves holding material non-public information relevant to an event contract is far broader than the population that's been trained to recognize the problem. The consequences for getting it wrong are serious: DOJ prosecution and CFTC enforcement action both apply.

FlightAware v. Kalshi

FlightAware filed suit against Kalshi this week, alleging the platform uses its flight-tracking data without permission to run markets on flight cancellations. McGinley said the lawsuit only broke that day and he hadn't reviewed it. The more relevant regulatory lens, he suggests, is the CFTC's proposed rule on contracts susceptible to manipulation — the agency is trying to distinguish economically useful hedging instruments from contracts that create perverse incentives to cause the underlying event. The FlightAware case fits directly into that tension.

The CFTC's authority on consumer protection

Asked whether the CFTC has the tools to impose gambling-style consumer protections on prediction markets — hotlines, self-exclusion, mandatory disclosures — McGinley says yes, but the agency is still catching up. The CFTC's position, adopted by some courts, is that prediction market contracts are swaps: bilateral agreements on the outcome of an event with financial consequences. That gives the agency fraud and manipulation jurisdiction. More rules are likely coming, though McGinley is matter-of-fact that regulatory timelines lag industry timelines.

The top-line verdict is straightforward: prediction markets are legally durable and here to stay. The sports question is the live litigation risk, insider-trading enforcement is already active, and the CFTC's consumer-protection toolkit exists but hasn't been deployed at scale.