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The rejection of the Clarity Act can be viewed as a victory for gaming stakeholders in their fight against prediction markets, which are closely intertwined with the crypto world. Crypto markets have long been the second-largest category of prediction market trading, behind sports, and many crypto exchanges also now offer predictions. These include Crypto.com, Coinbase, Gemini and many others.
On 16 June, a coalition of gaming lobby groups, state associations and labour unions sent a letter to the Senate urging lawmakers to include language in the bill banning sports and casino-related contracts. Among the signatories were the American Gaming Association, the Indian Gaming Association, the Association of Gaming Equipment Manufacturers and the UNITE HERE unions.
“Litigation may eventually clarify the law, but this is ultimately a question of congressional intent. Congress should not wait while this nationwide expansion of gambling continues,” the letter said. “It should use crypto legislation to reaffirm a simple principle: sports betting falls outside the CFTC’s remit and cannot be offered through prediction market platforms.”
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Santos’ case represents the most severe among four disciplinary settlements announced by Kalshi, which has faced increasing scrutiny concerning insider knowledge risks and event outcome influence by market participants.
Santos is not the only individual disciplined for trying to game the prediction market system. Ben Midgley, a Republican candidate for the governorship of Maine, admitted purchasing under $1,000 worth of contracts related to his campaign. He accepted a $5,434.30 fine and a three-year suspension.
Meanwhile, Laurie Buckhout, a candidate for a North Carolina congressional seat, was fined $2,589.96 and suspended for three years after buying under $1,000 of contracts linked to her race.
How to play Hall Of Gods
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.