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Then there are the financial implications, namely new revenue streams. Prediction market operators typically pay media companies to integrate their data while some outlets also earn referral commissions for driving new business to yes/no exchanges.
At least one well-known cable network has a financial stake in a major prediction market operator.
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The institutional layer is largely invisible to customers presented with a P2P proposition. Retail users may technically trade against one another, but the depth required by a mass-market product cannot be supplied by occasional customers alone. Professional firms must be prepared to quote continuously and commit substantial capital.
Marantelli says the London-based White Swan is a significant market maker on several secondary exchanges, accounting for as much as 40% of activity on some platforms. Its particular focus is the RFQ, parlay market.
“Just better margins,” he says of that decision. “I think it’s more defendable. It’s the area that fewer people can do well. So I think it’s more defendable margin, more ability to get long-term contracts and beneficial positions.”
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The company admitted to lapses in its internal approval process, described the error as isolated and noted the ad was removed within a few hours.
Limay reported implementing new safety measures for AI-generated gambling creatives, including specifying age-related prompts and reviewing the perceived age of AI outputs.
Despite these measures, the ASA found that the character’s age was not credibly verified. The prompts used to generate the AI image did not explicitly require the character to appear aged 25 or over. Without an independent verification process, the regulator determined the character still “seemed to be under 25”.