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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.
“Trust is fundamental to the responsible adoption of AI. As its use becomes increasingly embedded across the gaming sector, organisations need practical ways to understand where AI is being used, manage the associated risks and ensure that accountability and human oversight remain firmly in place,” he said.
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“I don’t think the successful studio of the future necessarily has hundreds of people,” he says. “It could be a relatively small group of extremely talented people with great ideas, strong brands and a very good understanding of players, supported by technology that does much of the heavy lifting.”
That would also shift the basis on which studios compete. If sophisticated development capabilities become accessible to a wider range of creators, scale alone becomes less of an advantage.
“It becomes less about how many developers you employ and much more about how creative you are and how well you understand the player,” Curwen says.
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Frequent bettors are significantly more likely to report that their betting habits are impacting other corners of their financial lives. Of those who bet daily on sports, 40% say they have debts that they attribute to wagers they made,” the report said.
“Nearly half of all respondents (45%) say they’ve borrowed money to place sports bets, with 13% taking out a personal loan to bankroll their betting and 11% securing funds through a high-interest payday loan,” the report continued.
Many sports bettors are unfazed by the high-stakes financial reality of gambling on sports.
