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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.

Younger patrons are increasingly familiar with crypto, but the lack of regulatory adoption in the regulated space can push bettors to offshore or unlicensed platforms, most of which do accept it. At the ICE Barcelona conference in 2025, a panel of international sports betting CEOs lamented the fact that they were barred from adopting crypto, while their black-market competitors were not.

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A similar scenario is playing out on the back of the MLB index introduction. Both LeagueShares and RexShares filed plans for ETFs tied to the FutureSports MLB indexes.

If approved, the funds would hold baskets of the CME-traded derivatives. LeagueShares went a step further by adding a filing for 2x leveraged MLB futures funds.

“Of course there’s already a filing for daily leveraged futures baseball ETFs — which are basically the equivalent of a corked bat with eight holes drilled in the handle that’s been dipped in pine tar,” wrote Ben Johnson, head of client solutions at Morningstar, on X.

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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.

However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.

The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.