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He also pushed back against claims by Dame Meg Hillier, chair of the Treasury Select Committee, who has characterised some industry warnings as “scaremongering”.
Burnham dealt another slight blow to the retail sector recently, by insisting he would scrap “aim to permit” for betting shops as well as insisting that AGCs will now need planning permission to function.
Done questioned how much more of a tax burden wealthy business owners in the UK should bear, noting: “They keep saying those with the broadest shoulders should be paying more tax. Well, how broad do my shoulders have to be? We paid £400 million in taxes as a family last year.”
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His analogy is a poker table at which the weaker participants sustain the game. If those players disappear, the fourth-best professional at the table can suddenly become a loser because only the three strongest remain.
The US addressable market is vastly larger and customer recruitment remains strong. Marantelli says Kalshi increased its number of clients fivefold during the World Cup, while White Swan predicts that NFL prediction markets could generate between $5 billion and $7 billion of liability in a single week.
But he acknowledges the possibility that faster customer losses could eventually test the sustainability of the model.
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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.
“You don’t have to search high and low in this industry to find companies talking up the benefits of AI,” Lamb adds. “Realising them requires a combination of deep data and human expertise not everyone has access to, and there is no shortcut to acquiring.”
The World Cup proved Kambi’s AI could perform under the greatest pressure sports betting can provide. The next task is to turn that tournament performance into new, increasingly on-demand experiences for its partners and their customers.
