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The Danish Gambling Authority said on Friday that the report stems from a broader review by FATF member countries over the past year.
The review examined the gaming sector and associated money laundering, terrorist financing and proliferation financing risks.
Spillemyndigheden said it contributed actively to this work and sat on FATF’s gaming sector working group. The regulator confirmed that many of the indicators in the report carry relevance for operators licensed in Denmark.
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Though Maryland, Virginia, and New York do not have iGaming, prediction markets offering trading on everything from sports to politics continue to make their platforms accessible. Controversial sweepstakes casinos additionally continue to operate in Virginia and Maryland.
The American Gaming Association (AGA) believes many federally regulated prediction markets have transformed into illegal gambling and sports betting outfits, siphoning revenue from the legal, taxed gaming industry. Prediction markets, the trade group argues, threaten jobs and tax revenue, as do other forms of illegal gambling like skill games, sweepstakes casinos, and offshore sportsbooks.
Illegal gambling operators are thriving at the expense of American consumers, siphoning billions in tax revenue from state governments, and undercutting the efforts of the legal market,” said AGA President and CEO Bill Miller. “It’s time for a national crackdown on the pervasive illegal market that is draining state coffers and putting people at risk.”
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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.
