E174: Tarek Mansour, Kalshi CEO: Why Prediction Markets Are the Future of Investing

Tarek Mansour founded Kalshi in 2018 and spent roughly six years before the company gained real traction at the end of 2024. During that period Kalshi pursued election market regulatory approval for approximately two years, receiving denials after the first year and again after the second, and a weather markets push around late 2022 and early 2023 saw initial growth before flatlining back to zero within three months. Mansour says the threshold for stopping was definitive proof the business could not work, and absent that proof they kept building, though he acknowledges sunk cost psychology also played a role in persistence.

Mansour argues the core reason Kalshi did not pivot was that the founders genuinely wanted prediction markets to exist rather than simply wanting personal success. He credits first-time founder naivety as a structural advantage for category-defining companies, saying a more experienced founder would have higher odds of a decent outcome but lower odds of a massive one because experience would have made the scale of the challenge discouraging. He identifies the biggest risk to any company as founders quitting rather than failures of strategy or vision, and describes building a VC-backed high-growth company as psychologically harder than MIT, noting that psychological difficulty is a harsher form of difficulty than intellectual difficulty.

Mansour's central intellectual claim is that prediction markets are the superior forecasting mechanism because participants are financially rewarded for accuracy and punished for error, creating a self-calibrating incentive structure absent from traditional media or expert opinion. He cites a Fed paper published roughly two months before the episode, titled something close to Kalshi: The Rise of Macro Markets, which validated that Kalshi forecasts on jobs, GDP, inflation, and Fed interest rates are more accurate than any other available alternatives. He also points to Philip Tetlock's 2015 superforecasting research showing that intellectually curious ordinary people dramatically outperformed credentialed geopolitical experts at predicting geopolitical events, and notes that prediction markets outperform polls when measuring mean error across a large enough sample. He does not believe prediction markets will replace journalism but expects them to complement it the way stock markets complement stock analysts, and notes that 70 to 80 percent of Kalshi users log in daily not to trade but to view forecasts.

Before Kalshi existed, investors seeking exposure to event outcomes such as elections had to use indirect proxies like baskets of stocks or shorting the S&P. Mansour says the existence of a direct market removes intermediaries, filters, and spin between the audience and the answer. He also argues prediction markets function as exchange-based hedging where pricing is more fair, transparent, and competitive than traditional insurance contracts with a single counterparty, though he caveats that event contracts pay based on whether an event occurs rather than on actual dollar damages, so they do not perfectly replicate damage-based insurance payouts.

Kalshi is currently the largest federally regulated exchange for event trading and has approximately 150 employees. Kalshi recently raised one billion dollars in its latest funding round, which Mansour frames as beneficial because it provides buffer capital, gives regulators comfort, and is necessary for going global and institutional. Kalshi is also launching what Mansour describes as the first regulated perpetual futures in the United States, with the rationale that assets like Bitcoin have no natural end date and therefore their derivatives should be perpetual rather than carrying an artificial expiry, and that rolling over dated futures is costly because traders must close and reopen positions and pay fees each time. Mansour expects leverage to be introduced to prediction markets over time, particularly on the institutional side, and frames the correct use of leverage as bringing low-volatility products up to a level of volatility sufficient for active and liquid trading.

On insider trading, Mansour disagrees with Brian Armstrong's position that insider trading is 100 percent necessary in prediction markets. He draws an analogy to stock markets, arguing that insider trading is banned not because it reduces price accuracy but because it dries up liquidity by discouraging participation on a rigged playing field. He defines legitimate prediction market research as polls, satellite data, and other publicly accessible information-gathering, and defines insider trading as acting on information others cannot access regardless of effort. Kalshi's enforcement approach includes KYC verification, trading surveillance systems modeled on those used by NASDAQ, reporting all trading activity to the government, and proactively blocking politically exposed persons from markets they control.

Mansour grew up in Lebanon, which he says exposed him to extreme volatility and rapid shifts between peace and conflict, and he describes financial stress from childhood as something that never fully leaves a person. He studied information theory and probability at MIT, which led him toward finance as an applied field, and says Citadel's culture of objective profit and loss measurement appealed to him for the same reason mathematical certainty appealed to him academically. He describes his own spiky entrepreneurial attribute as sheer stubborn resilience and says his biggest fear is not leaving everything on the field. He also says financial wealth causes him more stress than happiness, and that the most meaningful benefit of earning money has been supporting family, arguing the threshold for financial satisfaction is primarily about eliminating financial stress rather than reaching a large number.