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Selig recently hosted a meeting of the CFTC’s so-called Innovation Advisory Committee, which featured extensive discussion about crypto from leading CEOs. The committee’s charter says members pledge to “provide advice and recommendations” on several topics, including crypto assets and blockchain technology.
In May, Selig wrote in a social media post on X that under Trump’s leadership, the nation became the “crypto capital of the world“. Moving forward, the absence of a law makes any rules or advisories issued by the CFTC or the Securities and Exchange Commission vulnerable to being reversed or challenged in court, according to CoinDesk. As of Thursday evening, Selig had not released a statement on the vote.
Prediction markets aside, the absence of crypto on a federal level may have some drag on the regulated industry, especially in the iGaming and sports betting space.
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The competition between prediction markets and sportsbooks is intense and there is some evidence that the former is encroaching on the latter’s customer base.
A survey by Fullstory, a behavioral data analytics company, says that amid the evolution of yes/no exchanges, 60% of bettors said prediction markets are altering how they use sportsbooks with 35% admitting that they’ve reduced usage of traditional sports wagering platforms as access to sports event contracts increased.
“Consumers are being presented with more options for how they can participate in online gaming, creating a more competitive landscape where a seamless digital experience is increasingly becoming part of the value proposition,” said Jason Wolf, president of Fullstory, in a statement. “The brands that understand how consumers are navigating, comparing, and engaging with their platforms in real-time can identify where friction is getting in the way of trust and retention.”
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“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.
“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”
