Kalshi co-founders Tarek Mansour and Luana Lopes Lara discuss their journey building the first CFTC-approved prediction market in the US, including their unconventional decision to sue the regulator for approval of election markets. They highlight Kalshi's rapid growth to over $10 billion in monthly volume, driven by a unique market-making model powered by "super-forecasters" rather than traditional institutions. The conversation also explores the societal benefits of prediction markets as a truth-seeking mechanism, future market verticals, and their pro-innovation, pro-regulation policy stance.
Summarized by Podsumo
Kalshi deliberately pursued CFTC approval for four years before launching, a stark contrast to the "ask forgiveness, not permission" model, especially crucial in financial services.
The company famously sued its primary regulator to gain approval for election markets, a high-stakes move that ultimately validated their legal interpretation and spurred significant growth.
Unlike traditional exchanges, over 95% of Kalshi's market liquidity comes from individual "super-forecasters" and small shops, not large institutional market makers, enabling dynamic pricing across diverse topics.
Kalshi has seen exponential growth, trading over $10 billion monthly, demonstrating prediction markets' potential as a more accurate and unbiased source of information in a polarized world.
Kalshi advocates for a policy framework that fosters innovation in prediction markets while prioritizing fairness, transparency, and robust customer protection, including strict insider trading rules.
"I think that the approach we took from the start was that financial services or healthcare... you can't ask for forgiveness."
— Tarek Mansour
"The sharps are the market maker. I mean, they're super-aggressive. We don't limit any winners. We don't have any of the, like, we... we want all the winners."
— Luana Lopes Lara
"The incentive structure for a prediction market is truth. It is more volume, it is more liquidity, which translates to better and then more accurate forecasts."
— Tarek Mansour