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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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The US addressable market is vastly larger and customer recruitment remains strong. Marantelli says Kalshi increased its number of clients fivefold during the World Cup, while White Swan predicts that NFL prediction markets could generate between $5 billion and $7 billion of liability in a single week.
But he acknowledges the possibility that faster customer losses could eventually test the sustainability of the model.
“They lose quicker, dry up quicker, recruitment or re-recruitment,” he says. “If the recruitment of players dries up, then what are you going to do? Definitely there can be components like that.”
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The four analysts arrive at much the same broad conclusion, albeit by different routes.
For Birkin, the share-price decline has gone well beyond the deterioration in earnings expectations. Fantini sees the industry’s great growth phase as largely behind it. Beynon’s focus is on what the market can see today: earnings and cash flow, rather than promises of future sportsbook growth. And for Robinson, the weakness is no longer simply a matter of valuation. It is increasingly showing up in the fundamentals themselves.
Nobody is predicting the end of gambling. The market is still growing. Good operators are still making money. New products are emerging.