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“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%.”

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The charter does not create new regulatory obligations and was designed to complement legislation including the EU AI Act and GDPR.

Instead, it proposed a risk-based approach. It suggested lighter controls on use cases such as coding assistants, but strong checks on customer-facing functions, particularly those involving fraud and responsible gambling.

Kenneth Brincat, CEO of the MDIA, said companies needed “practical ways” to better understand where AI fits within their businesses.

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Specifically, 156 out of 229 accounts with no pending bets remained linked to BetStop users seven days after self-exclusion registration. Some accounts were non-compliant for periods extending up to 200 days.

Carolyn Lidgerwood, an ACMA member, stressed the importance of respecting self-exclusion decisions, stating “providers must respect that decision” and “must have robust systems in place”. 

These remarks align with a broader regulatory focus on harm-minimisation within online gambling, where adherence to self-exclusion protocols is under closer scrutiny.