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Beyond Texas, Kalshi made history on Friday when it became the first prediction market to sign a partnership with a federally recognised sovereign nation.
One day before a primetime showdown between the University of Mississippi and Louisiana State University, the Tunica-Biloxi Tribe of Louisiana announced the launch of a tribal prediction market app. The new app, powered by Kalshi, will be launched through SaltTrade Derivatives, a newly established subdivision of a tribal-owned enterprise.
Through the collaboration, the tribe will draw upon Kalshi’s established infrastructure and market expertise to develop a distinct tribal-owned trading application, said Tunica-Biloxi Chairman Marshall Pierite in a statement.
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Beginning with the US presidential elections in November 2024, when prediction markets catapulted into mainstream culture, their rise has been undeniable. Kalshi and Polymarket have seen their valuations balloon to $40 billion and $21 billion, respectively, and the majority of the top US bookmakers have scrambled to expand into the prediction space in various forms, either by building their own exchanges, acquiring existing ones or engaging in market-making.
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.
What is Magic Fruits?
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.
