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In response, DeNault noted that prediction markets regulated on the federal level by the CFTC offer a “safer alternative” than many offshore operators that lack the requisite consumer protections.
“You can go the combative route and ban something that’s federally regulated,” he said. “But what you’ll end up with is a bunch of customers in Texas just going offshore.”
The committee also heard from Brianne Doura-Schawohl, a nationally recognised problem gambling expert. One study cited by Doura-Schawohl found that 52% of Gen Z respondents include sports betting and prediction markets as part of their long-term financial plan.
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During a session of the House Audit Committee last Thursday, members of parliament (MPs), the Data Protection Commissioner and representatives from the Welfare Benefits Administration Service (WBAS), the Gaming & Casino Supervision Commission and the National Betting Authority (NBA) convened to discuss ways to identify and restrict gambling activity among GMI beneficiaries, as reported by Cyprus Mail.
While the intention is to protect vulnerable households and ensure welfare is spent on essential needs, proposed measures are being complicated by legal, technical and privacy obstacles.
Harris Tsangarides, executive director of the Gaming & Casino Supervision Commission, said his department had noticed spikes in gambling activity coinciding with GMI payment dates, prompting the regulator to consider “technical solution” to cross-reference GMI beneficiary lists with casino membership records.
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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.
