Crash Circuit

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Commercial sports betting generated just under $17 billion in nationwide revenue in 2025, which is why Davenport asserts that the “stakes of this case are exceptionally high”. Kalshi and Polymarket alone posted more than $45 billion in trading volume, which is similar but not identical to betting revenue, in August. That was a 15% decline from July, although that drop is attributed to the conclusion of the Fifa World Cup tournament that month per Yahoo! Finance.

The American Gaming Association estimates that the exchanges have siphoned more than $1.3 billion in would-be tax revenue from states. One of the AGA’s primary spokespeople pin its fight against prediction markets is former New Jersey governor Chris Christie, who championed the PASPA case to the Supreme Court.

As with PASPA, this matter revolves heavily around federalism versus states’ rights. Traditional sports betting is governed by individual state regulators with varying laws and regulations. Federal derivatives are regulated by the CFTC, which has fully embraced prediction markets under US President Donald Trump after rejecting them in previous administrations.

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U.S. Patent No. 12,406,284, which lists Commerce Secretary and former Cantor CEO Howard Lutnick as its primary inventor, covers geolocation technology commonly used in sports betting.

Geolocation services, which are typically purchased through third-party vendors, are used by sportsbook operators to ensure that their clients are placing wagers from jurisdictions in which sports wagering is legal.

“During prosecution, the Examiner did not apply the material prior art or straightforward combinations presented here, which render every challenged claim obvious,” according to a DraftKings filing with the patent office.

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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.