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“In simple terms, what we have undertaken is a shift from machine-assisted human trading to human-assisted machine trading,” Lamb explains.
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.”
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“It was still very much a trading kind of UX,” he said of Kalshi at the beginning of the year. “The actual product offering has come a long way.”
Andrew Gonzalez, founder of prediction market infrastructure startup ParlayX, believes the ability of small teams to provide liquidity is one of the sector’s defining features. “Anyone can be a market maker,” he said. “You have these two- or three-man shops.”
Jefferies described market makers as the ecosystem’s “liquidity backbone”. They post executable bids and offers, manage inventory and provide prices when customer activity is heavily weighted to one side.
How to play Midas Treasure
He argued the sector should be treated with the same rigour currently applied to cigarettes.
In an interview with Guilherme Amado’s column in Amado Mundo, Durigan said the government of Brazil and President Luiz Inácio Lula da Silva had fulfilled what was defined in the law that established sports betting.
“The legislation mandated the regulation of the sector, which did not happen in the previous administration,” he explained. “We came into government with the sector operating for almost five years.
