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

“These were serious breaches by Dabble. Wagering providers must have robust systems in place to protect people who have chosen to self-exclude,” Lidgerwood added.

Tabcorp Holdings Limited, one of Australia’s largest wagering and media companies was also fined more than AU$2.7 million earlier this year. ACMA clarified that Tabcorp had violated telemarketing and spam regulations over a 16-month period. 

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The rejection of the Clarity Act can be viewed as a victory for gaming stakeholders in their fight against prediction markets, which are closely intertwined with the crypto world. Crypto markets have long been the second-largest category of prediction market trading, behind sports, and many crypto exchanges also now offer predictions. These include Crypto.com, Coinbase, Gemini and many others.

On 16 June, a coalition of gaming lobby groups, state associations and labour unions sent a letter to the Senate urging lawmakers to include language in the bill banning sports and casino-related contracts. Among the signatories were the American Gaming Association, the Indian Gaming Association, the Association of Gaming Equipment Manufacturers and the UNITE HERE unions.

“Litigation may eventually clarify the law, but this is ultimately a question of congressional intent. Congress should not wait while this nationwide expansion of gambling continues,” the letter said. “It should use crypto legislation to reaffirm a simple principle: sports betting falls outside the CFTC’s remit and cannot be offered through prediction market platforms.”

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“Our role as a regulator is not to stand in the way of innovation, but to help create the certainty and confidence needed for innovation to flourish responsibly,” Mizzi said.

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.