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While sports event contracts are currently the tentpole category for the prediction market industry, data indicate bettors and traders are embracing other categories.
Fullstory points out that while 62% of consumers have dabbled in sports event contracts, 42% traded economic or financial derivatives on a prediction market while a comparable percentage transacted in an election or political event contract. More than a quarter traded at least one entertainment or pop culture derivative.
That widening breadth is vital for the industry at a time when some analysts estimate volume could jump to $10 trillion by 2035 – a projection that is largely rooted in other categories surpassing sports for the top spot.
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The Genesis Invitational, which Max Homa took down after a shoot-off with Tony Finau, attracted 10.79% of the wagers on Bodog this past weekend. Homa is intimately familiar with the course where the tournament is played, the Riviera Country Club, and has been a regular on the greens since he was two years old. With his Genesis win, Homa joins Bubba Watson as the only two players to take a Riviera victory with a bogey-free final round since 1990.
The NBA action returned to Bodog’s list next, with three games getting more than 10% of the wagers. Next, the NCAA’s Michigan vs. Ohio State game was popular with gamblers, as 9.07% of the bets on Bodog were placed on this game. Third-place Michigan handed fourth-place Ohio State a loss, walking away with a 92-87 win to improve to 16-1. Novak Djokovic vs. Daniil Medvedev in the Australian Open attracted 8.58% of the bets as Djokovic swept three sets. The last of the top-ten events on Bodog flipped back to the NBA, with the Sacramento Kings/Milwaukee Bucks and the Golden State Warriors/Charlotte Hornets games getting 7.63% and 7.5%, respectively.
The post Basketball takes over sports gambling on Bodog appeared first on CalvinAyre.com.
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But more capacity does not mean Cubeia has eliminated bottlenecks. With AI agents producing several streams of work in parallel, the company is still trying to find the right balance of how much work an individual can manage and review.
“The bottleneck becomes the person reviewing everything. That does not mean we never review the code itself. For sensitive or critical parts of the system, we still look more closely at the implementation, particularly from an architecture, performance, security and reliability perspective. But we no longer apply that level of manual code review to everything.” Grenstad says.
The shift to AI is also changing how Grenstad thinks about recruitment. A team working on the player journey, for example, needs people who understand casinos, iGaming and what a strong player experience should look like.
