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“The industry has a content problem,” he says. “There are thousands of games being released and too many of them are variations of something that already exists.
“Part of the reason is economics. When games take months and significant money to develop, people naturally become risk-averse. Building on something that already works becomes the safer option.”
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.
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“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.
“I would not necessarily prioritise senior Java or front-end specialists in the same way as before,” Grenstad explains. “Technical skills remain important, particularly for people who can assess architecture and ensure systems remain reliable, but domain knowledge is becoming increasingly valuable. I’d rather take someone who’s good in the domain but doesn’t know any Java.”