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We’ve already gotten money on the Bills against the Chargers, and of course the fact the Chargers lost to the Raiders yesterday (Sept. 20) 26-14 doesn’t help matters for people wanting to bet against the Bills,” Scucci explained. “So that’s all the more reason why we are seeing the money on the Bills. They’re going to be betting against the Dolphins every week, too.”
Like other sportsbooks in Las Vegas, Boyd Gaming is taking on significant liability on the Las Vegas Raiders, coming off their big win in Los Angeles to go 2-0 on the season.
“I think the Raiders are probably overachieving and giving more than what most people expected,” the Boyd Gaming VP said. “There’s a lot of sentimental support in Las Vegas. They’re clearly our biggest liability on the futures-bet market to win the Super Bowl. People bet them at long odds for that. The first game (27-13 over Miami), people didn’t hold that into much account because it was the Dolphins, the worst team in the NFL. But still, they played pretty well.”
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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.
At the same time, prediction market operators are facing regulatory tussles in the US. State regulators are moving to shut down the firms under gambling laws. The companies say their contracts should be regulated at the federal level as derivatives.
However, the sector has grown substantially despite such disputes. Bernstein predicted in April that annual prediction market volume could reach $1 trillion by 2030. The research estimated volume was around $51 billion in 2025 and could grow to around $240 billion in 2026.
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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.