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The operational infrastructure available to these new firms, however, remains underdeveloped. Gonzalez contrasts prediction markets with equities, where trading businesses can use prime brokers, clearinghouses and standardised systems such as FIX.

“When it comes to prediction markets, none of that exists,” he said. “Everyone that’s building in the prediction market space mostly starts from ground zero.”

Platforms were generally constructed for one person operating one account, rather than trading organisations requiring separate permissions and controls. According to Gonzalez, some teams still share a single login.

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The 62-minute hearing featuring Kalshi and a prominent lobbyist from the American Gaming Association provided a blueprint for the state’s evaluation of prediction markets next year. Before the calendar turns to 2027, though, stakeholders will monitor races for governor, attorney general and the US Senate on election night. The results in all three Texas races will likely have a major impact on the future of prediction markets inside the state.

Convened by Texas State Senator Bryan Hughes, the hearing in the Senate Committee on State Affairs examined the relationship between federally regulated derivatives markets and state-prohibited gambling. Research from Eilers & Krejcik Gaming in April found that 43% of activity from sports event contracts came from two states, Texas and California. A separate breakout of Texas activity alone is not publicly available.

At Tuesday’s hearing, AGA Vice President Tres York testified before the committee alongside Robert DeNault, head of enforcement and legal counsel at Kalshi. The AGA, one of the nation’s most strident critics of prediction markets, argued that an event contract on the Cowboys to beat the Giants does not differ fundamentally from the same wager placed at a sportsbook.

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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.