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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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Within the survey, none of the respondents selected AI or automation as their primary tool for managing VIP portfolios.
Instead, spreadsheets and business-intelligence dashboards each accounted for 30%, and CRM platforms followed at 24%. Only 15% used AI/automation tools in any capacity, and then only as secondary aids.
Large and demanding portfolios were highlighted as a key challenge, with 64% of managers overseeing 100 or more VIPs, while one in five managed more than 500.
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That creates a stark contrast during peak football season when traditional sportsbooks spend heavily on promotions. Offers ranging from $350 to $365 from major operators make the $25 to $50 promotional matches typically seen on prediction markets appear modest by comparison.
“That said, channel checks indicate prediction markets are spending heavily on digital marketing, including app stores and pay-per-click advertising, which could make our forecast look conservative by the end of the season,” EKG concluded.
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