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There’s widespread belief that old guard media companies are incentivized to feature event contract data on their sites or reference it in select publications as a way of better connecting with younger readers and viewers.
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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Yet the presence of professional counterparties complicates the customer-facing idea that prediction markets merely allow users to trade opinions with one another. As Kendrick puts it, two ordinary customers are not going to place $10 million or $20 million behind the Philadelphia Eagles. Markets at that scale require institutions.
For Marantelli, the exchange format could also cause some customers to lose money faster than they would with a conventional sportsbook. The ability to enter and exit positions creates a perception of flexibility, but that optionality can encourage users to commit more of their bankroll.
A customer might buy a team at 55 or 56 cents expecting the price to rise to 58 or 59 cents, he explains. If it falls to 45 cents instead, the trader may refuse to accept the loss and continue holding the position.
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Malta’s gambling regulator has launched a new artificial intelligence (AI) gaming charter after finding that governance is struggling to keep pace as the technology becomes more widely used across the sector.
The Malta Gaming Authority (MGA), working alongside the Malta Digital Innovation Authority (MDIA), drafted the voluntary charter following extensive surveys and interviews with industry licensees.
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.