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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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But, as Robinson warns, the opportunity to enter Africa doesn’t come without challenges.
“It’s profitable, it’s growing and it was for sale from a distressed vendor,” he says. “That combination rarely appears in regulated Europe, where scaling a B2C brand means paying up for customers against Flutter and Entain on thin margins.
“Africa isn’t saturated, but I wouldn’t call it easy either. Betway and the local incumbents are well dug in. The difference is that you’re competing for a market that’s still forming, at a fraction of the acquisition cost, and the operating margin is there if you get the payments and the product right. The risk is regulatory and currency rather than competitive.”
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With int he report Dr Matt Gaskell MBE observed that “overall exposure (including shirts, hoardings, logos, sponsorship and related marketing) during live sports programmes does not show that self-regulation has reduced exposure meaningfully”.
Voluntary efforts have included Premier League football opting to ban front-of-shirt gambling sponsorships, as of the beginning of this current season. Although, branding remains on training kits, shirt sleeves and across stadium advertisements.
The committee’s previous 2020 report had recommended banning gambling ads on team shirts, training kits, stadium advertising and broadcasts, although on-course advertising for horse and greyhound racing was exempt.