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If the research firm’s $190 billion taker volume estimate proves accurate, it’d represent a more than eightfold increase from the $22 billion taker turnover seen last year.

Potentially boding well for the Macquarie forecast are at least two factors. First, there are signs of turnover increases across a variety of yes/no exchanges. Second, volume surged to start September with those spikes arriving even before the NFL season kicked off.

As Macquarie analyst Chad Beynon points out, prediction markets generated $4.3 billion in taker volume during the first week of September without any help from the NFL, building on momentum from the 2026 World Cup. However, the NFL’s impact was immediate, with taker volume hitting a daily record during Week 1 of the campaign.

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According to the system used to rank players on the PGSI, a score of 0 or between 1 and 3 is considered low-risk, while scoring between 3 and 7 suggests moderate risk, and a score of 8 or higher represents problem gambling.

Although many industry commentators have pushed back against the GSGB and methods used in the survey to determine the scale of problem gambling in the UK.

The committee identified the Gambling Act 2005 as the moment when licensed operators gained broad advertising freedoms across media. Prior to 2005, television and radio gambling advertising was limited to products like bingo, football pools and the National Lottery.

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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.