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CFTC Chairman Michael Selig is currently the lone sitting commissioner for an agency that traditionally features a bipartisan group of five. Selig has repeatedly defended both the legitimacy of prediction markets as financial assets and the role of the CFTC in overseeing them. The CFTC under his direction has embarked on a series of rule proposals regarding prediction markets, although detractors argue that the proposed changes still allow for sports contracts and in some ways could be seen as a tightening of the belt to make a Supreme Court review look more favourable.
“It’s not a question of whether innovations like blockchain, artificial intelligence, and prediction markets will transform our markets. It’s a question of where this innovation will take place and who will write the rules,” Selig said during a meeting of the CFTC’s Innovation Advisory Committee on 20 August, which featured the CEOs of Kalshi, Polymarket, DraftKings, CME Group and more.
Jess has covered the global gaming industry since 2022. A native of Reno, Nevada, he’d like to note that it’s Ne-va-da, not Ne-VAH-da.
About Star Spinner
Prediction markets have proven effective at attracting sharp bettors and high-rollers who are often limited or banned by traditional sportsbooks. However, consumer surveys indicate that when given the choice between a sportsbook and a yes/no exchange, most recreational bettors still prefer the traditional sportsbook interface. That dynamic helps explain why prediction markets remain in second place.
“Prediction markets represent a meaningful second channel for NFL wagering but still small on a relative scale, reflecting a new sector with less of an installed base,” observes EKG.
It’s widely believed that all-or-nothing exchanges are carving out significant niches in states, such as California and Texas, where sports betting is prohibited, but there’s also emerging consensus that the prediction market threat to sportsbooks is easing.
About Star Spinner
Participants broadly accepted the principle that gambling information should be transparent and accessible, but many reported difficulty interpreting or using it effectively in practice.
Technical data such as odds and rules were often obscured by delivery timing that came too late to influence decisions.
This sense of understanding was also described as something that needed to be maintained continuously, rather than achieved only once and then relied upon.
