Secret City Gold

About Secret City Gold

The institutional layer is largely invisible to customers presented with a P2P proposition. Retail users may technically trade against one another, but the depth required by a mass-market product cannot be supplied by occasional customers alone. Professional firms must be prepared to quote continuously and commit substantial capital.

Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.

“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”

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The shift means that rather than spending their time pricing and managing established markets, traders can now apply their expertise where human judgement has the greatest value, including developing and testing new products. AI removes many of the practical limits on what can be offered and priced, and manages the resulting scale and complexity. The result is greater efficiency for Kambi and a better service for its partners and their customers.

“To this point, sportsbook product creation has largely been guided by a trading department’s ability to profitably price and risk-manage certain bet offers,” Lamb says. “AI trading lifts those limitations, while also enabling that existing human expertise to be leveraged more effectively.”

The 2026 tournament demonstrated why Kambi believes this total integration of AI is necessary. Sportsbooks are no longer built primarily around match results and traditional pre-match markets. Bettors increasingly expect to construct wagers around individual players and specific moments within a game.

About Secret City Gold

Consumers reiterated that being informed is an ongoing process, and that fast-paced and immersive gambling formats can rapidly erode awareness.

On the question of who should be responsible for maintaining this understanding, participants favoured a shared model rather than placing the burden solely on one party. 

Before betting, they accepted personal responsibility provided that information was clear.