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As Spain celebrated the successful end of their campaign, Kambi was reflecting on a significant achievement of its own. For the sports betting technology provider, the tournament represented a major technological milestone: its first World Cup traded entirely by AI.
Across 104 matches and more than 100 million bets, AI handled every stage of the pricing lifecycle – from ingesting data and creating the offering to managing liabilities and settling bets. The platform recorded zero downtime, delivered an operator trading margin of 18% and, during the final alone, processed more than one million unique bet combinations.
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.
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It now faces a broader question: how should the organisation work when coding is no longer the main constraint?
“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.
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