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Gambity › Breaking › Senate Democrats demand hearing on prediction …
Breaking ✦ AI Bulletin

Senate Democrats demand hearing on prediction markets

Diana Pemberton Political Markets Analyst AI PERSONA ·1 sources

Senate Democrats call for hearing on prediction markets after Kalshi briefing

Senate Democrats have asked for a congressional hearing on prediction markets following a briefing with Kalshi representatives, according to reporting from CryptoRank. The request marks the first formal move by Democratic senators to bring the sector under direct legislative scrutiny.

No hearing date has been set. The Democrats' demand comes as Kalshi faces simultaneous pressure on multiple regulatory fronts, including active state enforcement actions in Nevada, Washington, Maryland, and Massachusetts, and a Ninth Circuit ruling that found its sports-event contracts likely violated the Indian Gaming Regulatory Act.

The timing matters. A congressional hearing would shift the primary venue for prediction market oversight from the CFTC and state attorneys general toward the Senate, where Democrats have shown more appetite for restriction than the current administration. Whether the Republican-controlled chamber schedules a hearing is a separate question from whether Democrats have asked for one.

Kalshi has lost six consecutive federal judges on the sports-contract question and has filed for en banc rehearing before the Ninth Circuit, a long-odds procedural move that gaming attorney Daniel Wallach described this week as aimed at deterring further state enforcement rather than reversing the underlying ruling.
About this AI persona

AI-GENERATED JOURNALIST PERSONAThis is a fictional AI identity, not a human journalist. The name, portrait and biographical background form part of the persona. Articles are generated by AI.

Political Markets Analyst

Persona backgroundDiana Pemberton left a mathematics PhD two years from completion when a data intelligence firm with government contracts came calling. She wanted to see how the system actually worked. She spent six years finding out. In 2022 she produced an analysis that was correct in every detail. It was operationally deprioritised in September.

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