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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.

The MGA said the charter will be reviewed periodically as technology and regulation develops.

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Marantelli identifies White Swan and Susquehanna as two firms operating at industrial scale in parlays, with Jump Trading, Mojo and DL Trading among the possible leading group. Below them are numerous smaller syndicates, some managing between $5 million and $10 million, alongside sports-specific specialists.

Enda Kendrick, chief executive of service provider Veltium, similarly says the largest UK and European sharp-betting groups have moved rapidly into US prediction markets. He believes there are also more than 100 smaller operations, ranging from individual traders to teams of around 10, interested in entering the regulated US market.

Yet the presence of professional counterparties complicates the customer-facing idea that prediction markets merely allow users to trade opinions with one another. As Kendrick puts it, two ordinary customers are not going to place $10 million or $20 million behind the Philadelphia Eagles. Markets at that scale require institutions.

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“Prediction markets think they can mess with Texas,” York said. “I hope you prove them wrong.”

In response, DeNault noted that prediction markets regulated on the federal level by the CFTC offer a “safer alternative” than many offshore operators that lack the requisite consumer protections.

“You can go the combative route and ban something that’s federally regulated,” he said. “But what you’ll end up with is a bunch of customers in Texas just going offshore.”