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In fact, behind those brands, a whole new sector is taking shape. Data and streaming suppliers, specialist market makers and technology companies are quickly invading the space.

The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.

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.

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But through its love of pachinko, social gaming in Japan offers a strikingly different story.

Across some 8,000 pachinko parlours in Japan, machines filled with metallic balls fill expansive spaces, similar to slot machines on a casino floor. Winning balls are tallied and exchanged for non-cash prizes at the parlour, which can then be taken to nearby third-party exchange outlets for cash.

“Pachinko is a huge part of the culture,” says Leckert. She explains the “ease of walking into a pachinko parlour” is irreplaceable.

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“The AI gaming charter translates these principles into practical, sector-specific guidance,” he added.

The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.