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“Giving bettors more ways to personalise their wagers around the players and moments they care about was a big takeaway from the tournament and one which continues to inform Kambi’s development of cutting-edge sports betting products,” Lamb says.
Kambi is now rolling out AI trading across other sports, including basketball, ice hockey and American football. Its longer-term ambition extends beyond automating established processes to using the technology to create products that could not previously be delivered at scale.
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.
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Speaking at the launch event, MGA CEO Charles Mizzi emphasized that the framework is meant to foster progress rather than stifle it.
“Our role as a regulator is not to stand in the way of innovation, but to help create the certainty and confidence needed for innovation to flourish responsibly,” Mizzi said.
The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.
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Below the largest exchanges, he sees numerous operators competing for relatively small shares of a fast-growing category. “If you get 1% of this market, I think it’s a huge opportunity,” Patel said. “There are a lot of people fighting to get 1%.”
Jefferies estimates exchanges can retain approximately 65% of explicit transaction fees, with the balance distributed across clearinghouses, brokers and liquidity providers. It therefore expects more operators to bring parts of the infrastructure in-house.
For the independent suppliers growing alongside them, however, the opportunity expands with every new exchange, contract and market maker. The consumer-facing platforms may attract the users, but their products cannot trade at scale without the data, liquidity and operational machinery developing behind the screen.