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For Curwen, tackling the problem therefore means changing the risk-reward equation behind game creation. If creators can develop and test ideas more quickly and at significantly lower cost, an unsuccessful experiment becomes less consequential – and taking a chance on something genuinely different becomes easier to justify.

“Technology changes the equation,” he says. “If we can make development faster and significantly more cost-efficient, creators can afford to experiment again.

“I’ve said before that I think we’re moving towards the end of the traditional reskin model. Players don’t need another 100 versions of effectively the same game.”

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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.

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