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For Yggdrasil, Game in a Box and Studio in a Box are therefore intended to become more than tools for its own development operation. Curwen envisages them supporting a wider creator ecosystem, although he acknowledges that proving the model commercially must come first.

“We’re still early,” he says. “The priority is to prove the model properly; make sure the games perform and demonstrate that it works commercially. If we do that, I think the opportunity is significant.”

Five years from now, Curwen expects the development landscape – and the studios operating within it – to look markedly different.

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As Paul Crisp, Cubeia’s head of marketing, points out: “If the objective is 10% more traffic, for example, how do we measure it?

“We need to establish a baseline, implement the change, measure it and see whether it goes up by 10%. If it only goes up by 1%, maybe we need another iteration because we haven’t fulfilled the objective.”

The next development is increasingly being driven by Cubeia’s customers. Now the company is asking what customers will want to do with AI, Grenstad explains.

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James Monk, founder of sports data and streaming provider Catalist Sports, has witnessed that dependence directly. Catalist supplies ITF tennis data to Kalshi and Polymarket and has an exclusive US sports-streaming agreement with Kalshi.

The company must also provide data to the firms making markets on those events.

“If we just sold the data to Kalshi in order to list the markets but no one was coming in and placing liquidity, there’s no point in them listing the markets,” Monk said. “We also need to supply the data to the market makers to inform their models.”