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The volume is not only seen across NFL markets, but also on those in college football, which is practically a religion in Texas. When Ohio State faced Texas in a Top 5 matchup on 12 September, volume surpassed 50.7 million contracts traded, according to Odds Shopper, a prediction market tracking site. The robust activity set the stage for an intense legislative hearing three days later in the Texas Senate.

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.

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Sponsorships and advertising with sports teams was also flagged as according to the report, voluntary efforts had failed to reduce the industry’s exposure. 

With int he report Dr Matt Gaskell MBE observed that “overall exposure (including shirts, hoardings, logos, sponsorship and related marketing) during live sports programmes does not show that self-regulation has reduced exposure meaningfully”. 

Voluntary efforts have included Premier League football opting to ban front-of-shirt gambling sponsorships, as of the beginning of this current season. Although, branding remains on training kits, shirt sleeves and across stadium advertisements. 

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There are also strategic questions around dependence on AI providers.

Cubeia is currently heavily reliant on Claude, and Grenstad questions what could happen if AI providers raise prices or if quality changes. For now, however, Grenstad sees the uncertainty as something Cubeia can learn to manage.

“We’re confident that the question marks will be solved as we work through them. We’ll see the problems, learn how to manage them, and adapt.”