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It’s widely believed that all-or-nothing exchanges are carving out significant niches in states, such as California and Texas, where sports betting is prohibited, but there’s also emerging consensus that the prediction market threat to sportsbooks is easing.
A major advantage for traditional sportsbook operators is their ability to aggressively fund customer acquisition and retention bonuses. As EKG points out, prediction markets have “less ability to be generous with bonuses” because users trade against one another rather than against the house.
That creates a stark contrast during peak football season when traditional sportsbooks spend heavily on promotions. Offers ranging from $350 to $365 from major operators make the $25 to $50 promotional matches typically seen on prediction markets appear modest by comparison.
How to play Goal
Beynon says sports betting companies have suffered particularly badly because the market is questioning both future earnings and the size of the eventual opportunity. More iGaming-focused companies such as Rush Street Interactive and Super Group have generally performed better operationally, helped by stronger earnings growth and profitability.
The lesson is simple: gambling still attracts capital when the money is visible. It is less attractive when the payoff lies far in the distance.
The biggest new uncertainty in US sports betting is prediction markets. The American Gaming Association estimates that Americans will legally wager $29.5 billion in betting handle through US regulated commercial sportsbooks during the 2026 NFL season, broadly unchanged from the $29.4 billion handle recorded in 2025. These figures refer to the amount wagered, not sportsbook revenue.
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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.
Kenneth Brincat, CEO of the MDIA, said companies needed “practical ways” to better understand where AI fits within their businesses.
“Trust is fundamental to the responsible adoption of AI. As its use becomes increasingly embedded across the gaming sector, organisations need practical ways to understand where AI is being used, manage the associated risks and ensure that accountability and human oversight remain firmly in place,” he said.
