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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.

Beyond Texas, Kalshi made history on Friday when it became the first prediction market to sign a partnership with a federally recognised sovereign nation.

One day before a primetime showdown between the University of Mississippi and Louisiana State University, the Tunica-Biloxi Tribe of Louisiana announced the launch of a tribal prediction market app. The new app, powered by Kalshi, will be launched through SaltTrade Derivatives, a newly established subdivision of a tribal-owned enterprise.

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In April, under pressure from Brazil’s President Luiz Inácio Lula da Silva, Caixa postponed its launch until 2027 at the earliest.

Brazil is currently gearing up for a general election next month and Weizer said this had delayed Playtech’s launch in the regulated market, although he didn’t specifically name Caixa as its client.

“I’ll be very, very open and straightforward about it,” Weizer told analysts on Playtech’s post-Q2 earnings call. “There were certain concerns that because it is an election year, and obviously, gaming is a political issue or there were references by politicians throughout the elections about gambling.

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The aim is an on-demand sportsbook capable of offering the right bet to the right customer at the right time. Lamb believes Kambi’s network of more than 70 partners provides an important advantage in pursuing that goal. More than €17 billion in annual liquidity and billions of bets placed each year give its models a depth of information that can improve pricing, risk management and product development.

“The term AI is everywhere across the world of technology, and the betting and gaming industry is just one where its impact is being felt,” Lamb says. “Taking AI beyond being a buzzword, building and deploying the systems and automation necessary to maximise its potential and deliver the right results is the challenge each of these industries face.”

For Kambi, data must be combined with the knowledge of experienced traders who can direct the technology, scrutinise its output and identify where it can add value next.