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“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
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.”
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However, he may have indeed been able to spot the imperfection in the cards, which is an outcome completely different than what was ruled in the case of Phil Ivey, a popular poker pro who ended up using edge sorting to win millions of dollars, but had to forfeit or repay his winnings in the end.
Grant said, at the time of his own case against Star Casino, that he had noticed cards being asymmetrical, but that he had no way of knowing what the next card on his table would be – just like other players there.
How does this apply to Grant’s case against Royal Caribbean? Well, things may be different there; Royal Caribbean takes advantage of players in general, arguing that the practice is tantamount to cheating.
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Prediction market volume could soar to $10 trillion per year by 2035, compounding at a staggering annual rate of 70%, according to new research by Bernstein analysts.
Analyst Gautam Chhugani and team are forecasting $410 billion in yes/no exchange turnover this year, implying that if the $10 trillion estimate proves accurate, it’d represent a more than twentyfold increase from the 2026 tally.
The $10 trillion forecast also implies significant growth in just five years from what previously stood as some of the most optimistic 2030 projections. In April, Bernstein estimated prediction market volume will ascend to $1 trillion by 2030 while Bank of America said prediction markets will eventually grow to $1.1 trillion in yearly turnover. A July report from Macquarie analyst Chad Beynon included a $1.5 trillion annual volume forecast by 2030.
