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The company has also pursued partnerships outside the normal financial media. Its deals include relationships with major sports organizations and entertainment properties, signaling efforts to integrate prediction markets into mainstream content and information services.
The conclusion of the Yahoo Finance deal comes as there is more talk about the use of prediction market data in journalism. Operators such as Polymarket and rival Kalshi have touted their markets as a way to get real-time information on how likely future events are to occur.
However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.
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Kambi had set itself the ambitious target of delivering the entire tournament through AI. By the time Spain lifted the trophy, it had provided compelling evidence that automated trading could withstand the scale and intensity of sport’s biggest betting event while improving the experience offered to operators and their customers.
“The Fifa World Cup draws global attention in a way that no other sporting event can, and it was the best stress test of the technology we could have asked for,” says Oliver Lamb, SVP of trading at Kambi.
“We also delivered a nigh-on limitless range of bet combinations, delivered in a more rapid and more seamless manner than we have been able to before.”
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“We’re doing this 100%,” COO Stefan Grenstad says of Cubeia’s AI-driven development process.
Now, the focus is on what the company does with the additional capacity AI has created. Six months ago, Cubeia’s experiment was essentially about replacing human-written code with AI-generated code.
Since then, it has evolved into something broader: a different development pipeline, a different role for developers and quality assurance (QA), a different way of organising teams and, increasingly, a different relationship with customers.