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Almost six in 10 (57%) of the sports betting demographic said they bet weekly, with 17% betting on a daily basis. Nearly one in five (19%) said they have outstanding sports betting debts.
Frequent bettors are significantly more likely to report that their betting habits are impacting other corners of their financial lives. Of those who bet daily on sports, 40% say they have debts that they attribute to wagers they made,” the report said.
“Nearly half of all respondents (45%) say they’ve borrowed money to place sports bets, with 13% taking out a personal loan to bankroll their betting and 11% securing funds through a high-interest payday loan,” the report continued.
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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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The consumer battle in prediction markets is increasingly visible. Kalshi, Polymarket and newer entrants are expanding their sports products, while DraftKings, Flutter, Robinhood and a host of others are investing in exchanges, distribution and market-making capabilities.
In fact, behind those brands, a whole new sector is taking shape. Data and streaming suppliers, specialist market makers and technology companies are quickly invading the space.
The investment banking and capital markets firm Jefferies said in a September report that sports had become prediction markets’ “most important liquidity driver”, with combo and parlay-style contracts accounting for an increasing share of activity. But the analysts cautioned that prediction markets are scale businesses with relatively low revenue yields, leaving their economics dependent on sustained liquidity, engagement and trading activity.