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Another proposed action from the leagues centres around the creation of a standardised, cross-operator reporting platform that will allow players, unions and leagues to “securely transmit verified evidence of threats” to state regulators.
Maloney leads an association that features sportsbook powerhouses such as DraftKings, FanDuel, Fanatics and Bet365.
“We welcome efforts by leagues, players and regulators to build on that work and make clear that harassment has no place in sports,” Maloney told iGB.
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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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One customer built its own casino landing page and wanted to use Cubeia’s APIs to make it work with the platform. “Another wanted to use Cubeia’s player account management system to build its own functionality, including personalised bonuses,” Grenstad recalls.
The idea is less about Cubeia providing another AI tool than making its platform and data accessible to AI infrastructure customers are already building themselves. Cubeia is now running a pilot based on the landing-page use case.
This was not necessarily on the horizon just six months ago, Grenstad says, but now he believes Cubeia should ultimately be able to “say yes” when customers arrive with products built using their own AI tools.