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The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.
“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”
The 2026 tournament demonstrated why Kambi believes this total integration of AI is necessary. Sportsbooks are no longer built primarily around match results and traditional pre-match markets. Bettors increasingly expect to construct wagers around individual players and specific moments within a game.
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“Speed of iteration is probably the biggest difference,” he says. “Traditionally, every significant change can create another development cycle involving several different teams. With Game in a Box, the creator can iterate much closer to real time.”
Crucially, Curwen sees those efficiencies as a means to an end rather than the primary objective.
“That’s where I think Game in a Box becomes really interesting,” Curwen says. “The ambition isn’t to use technology to make average games faster. It’s to give talented creators the freedom to try more ideas and hopefully produce better games.”
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