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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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However, some media industry observers have questioned whether trading activity can reliably stand in for broader public opinion. There are also concerns among critics over the growing links between news organizations and prediction platforms.
At the same time, prediction market operators are facing regulatory tussles in the US. State regulators are moving to shut down the firms under gambling laws. The companies say their contracts should be regulated at the federal level as derivatives.
However, the sector has grown substantially despite such disputes. Bernstein predicted in April that annual prediction market volume could reach $1 trillion by 2030. The research estimated volume was around $51 billion in 2025 and could grow to around $240 billion in 2026.
About Leprechauns Luck
“A lot of market makers want to go where there’s liquidity,” he said, adding that platform stability and Kalshi’s investment in the financial side of its market-maker relationships were also important. “I think Kalshi is a freight train that’s just kind of running away with it.”
Aldrin monitors product changes, advertising, social media activity, app-store rankings and trading volume across prediction market operators. Patel said the objective is to connect those indicators and show how a product launch supported by advertising affects volume and market share.
Below the largest exchanges, he sees numerous operators competing for relatively small shares of a fast-growing category. “If you get 1% of this market, I think it’s a huge opportunity,” Patel said. “There are a lot of people fighting to get 1%.”
