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While in-person casino revenue declined in Delaware, New Jersey, and Pennsylvania, iGaming reported GGR growth in each jurisdiction. iGaming revenue in New Jersey was up 4.4%, Pennsylvania’s online casinos saw GGR climb almost 6%, and Delaware iGaming surged 35%.

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.

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The law came at the request of Full House Resorts, the Las Vegas-based regional gaming operator that expressed interest in relocating its Rising Star Casino in Rising Sun to a more attractive market, specifically in the northeastern part of the state.

During the lawmaking process, Full House’s exclusivity was stripped in favor of welcoming any company currently licensed as a commercial casino in the US to bid on the possible license. Lawmakers also threw in a one-time $150 million fee for the concession and a mandatory investment minimum of $500 million, all but ending Full House’s interest.

“The bill changed many times. We make money in Rising Sun. We always have, not a lot of money, but we make money. We continue to make money in Rising Sun. And we will continue to do that for our shareholders, as well as for the good of the state,” Full House CEO Daniel Lee said in March.

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The charter also made a series of other recommendations. It suggested that companies should designate a senior member of staff responsible for governance of the technology. It additionally recommended an AI oversight or ethics committee.

The framework also urged companies to implement rollback mechanisms and “kill-switch” controls for higher-impact systems.

For AI-powered customer support and chat, operators are encouraged to set clear parameters for when conversations should be moved to a human member of staff. These include repeated low-confidence responses, unresolved queries, indications of distress, or a customer simply asking to speak to a human.