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Across the market, operators delivered high double-digit gains compared with Labor Day weekend, which featured a full slate of college football games but no NFL contests. Two operators, DraftKings and Underdog each saw triple-digit growth, delivering weekly increases of 125% and 119%, respectively. Three others, Polymarket, Crypto.com and Novig, saw gains of at least 30%, led by Polymarket with a weekly increase of 46%.

One interesting nugget surrounds weekend figures at Kalshi, where volume on Sunday only surpassed prior daily activity by $34 million, BofA data shows. Typically, Sunday volume for the quarter dwarfs that of College Football Saturdays due to the voracious demand for NFL offerings. BofA analyst Shaun Kelley attributes the irregularity to the possibility that Kalshi is “over indexing” on college sports.

Kelley also cited improvements at Robinhood as a possible factor for the regression at Kalshi. Just before the NFL season, Robinhood took a minority stake in Crypto.com and struck a deal to begin routing NFL contracts to OG.com, the site’s regulated prediction market platform.

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Kesitilwe says the AiA also wants to develop a clearer picture of problem gambling across Africa and use that evidence to support engagement with governments and policymakers.

“We also, from the point of view of the Alliance, intend to do Africa-wide studies around prevalence of problem gambling in different markets, obviously working with regulators and associations,” he says.

Alongside this, the AiA wants to use the lessons from the inaugural week to broaden participation and establish the campaign as a permanent fixture.

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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.