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“You can go the combative route and ban something that’s federally regulated,” he said. “But what you’ll end up with is a bunch of customers in Texas just going offshore.”
The committee also heard from Brianne Doura-Schawohl, a nationally recognised problem gambling expert. One study cited by Doura-Schawohl found that 52% of Gen Z respondents include sports betting and prediction markets as part of their long-term financial plan.
She also criticised a Kalshi competitor for offering a function that allows minors over 17 to link an investment account with the ability to buy and sell event contracts. A former legislative director for the National Council on Problem Gambling, Doura-Schawohl described the opportunity as “very dangerous” for teenagers susceptible to harm.
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For reference, Konstakis is no stranger to OpenBet’s business. He has been involved with the business for a while, serving as its president. In this role, he has been closely involved in “driving the operational and commercial execution of the business and shaping its strategic priorities.”
In his new role, Konstakis will be responsible not only for OpenBet’s strategy, but also for its day-to-day business, growth initiatives, and tech priorities. At the same time, he will be tasked with “raising the bar” in how OpenBet serves its clients.
OpenBet emphasized that this change comes at a strong moment for the company and follows its incredibly successful delivery for customers through the World Cup. Throughout the tournament, OpenBet processed 175 million bets totaling $3 billion.
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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.