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When asked what responsible gambling measures the ARGN was seeking the implementation of, Akolade said the network wanted to establish minimum player protection standards across African markets and move responsible gambling requirements beyond paper-based rules towards measures that are actively enforced.
“We would like to see stronger player protection measures across African markets,” Akolade adds. “That includes enforcement of effective age and identity verification, meaningful self-exclusion systems, responsible gambling advertising standards, improved access to counselling and treatment services and stronger action against illegal operators.
“The current landscape pays lip service to responsible gaming, and you’d hardly see effective player protection architecture other than messages asking players to gamble responsibly and surface-level awareness campaigns.
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That study found that AI adoption across the gambling industry remained uneven. It highlighted customer support, data analytics, fraud detection, and responsible gaming as areas where the technology was already being heavily used.
However, it also found that formal governance of AI was struggling to keep pace with its growing usage. Only a minority of organizations surveyed reported having a formal AI strategy or roadmap. Many said one remained in development.
The MGA also found that only a small number of respondents had fully established AI risk assessment processes or incident-response plans.
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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%.”
Jefferies estimates exchanges can retain approximately 65% of explicit transaction fees, with the balance distributed across clearinghouses, brokers and liquidity providers. It therefore expects more operators to bring parts of the infrastructure in-house.