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Kalshi CEO Tarek Mansour on The Case for Prediction Markets | Ep. 48

Tarek Mansour is the co-founder and CEO of Kalshi. Kalshi is a regulated prediction market exchange valued at $22B in 2026 where people trade on the outcomes of real-world events – things like inflation prints, Fed decisions, elections, or weather events. Instead of betting against a house, users trade against each other in a market, and prices reflect the collective probability of an outcome happening. Before starting Kalshi, Tarek worked as a quantitative trader at Goldman Sachs as a structured credit and equities analyst and at Citadel as a global macro trader. During his time at these firms, he realized a common thread: a lot of trading stemmed from an opinion on a future event. We covered the idea behind prediction markets and how they offer a more direct way to trade on beliefs about the future. The conversation follows the long, difficult path to building a regulated exchange in the U.S., from early skepticism to ultimately winning a landmark legal battle. We also discuss how these markets can improve forecasting, enable new forms of hedging, and change how information gets priced. Timestamps: (0:00) Intro (0:23) Kalshi’s genesis (5:05) Regulation-focused from inception (11:06) Suing the government (18:02) Gambling vs. financial markets (20:58) Defining insider trading (25:38) Incentive structure of the system (32:40) Investing vs. trading (35:31) Hedging use cases (41:38) Scaling a lean team (44:02) Defining Kalshi’s culture Links: https://x.com/jaltma https://x.com/mansourtarek_ https://kalshi.com/ https://uncappedpod.com/ friends@uncappedpod.com

Tarek MansourguestJack Altmanhost
Apr 28, 202647mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Kalshi CEO explains regulated prediction markets, lawsuits, and responsible design

  1. Kalshi originated from observing that Wall Street often predicts events correctly yet loses money by trading market reactions rather than the events themselves.
  2. From inception, Kalshi prioritized US onshore regulation through the CFTC, enduring years of non-linear progress, limited initial approvals, and repeated election-market setbacks.
  3. After regulators blocked election markets, Kalshi sued its own regulator, endured retaliatory friction (delays, extended audits), and ultimately won—helping clarify when “betting” qualifies as a financial market.
  4. Mansour argues the key difference between gambling and markets is incentive structure and neutrality: an exchange matches participants and charges fees rather than profiting from customer losses.
  5. He frames prediction markets as tools for both price discovery and hedging, and as a way to price many “dimensions” of uncertainty (“infinite markets”) that increasingly drive real asset values.

IDEAS WORTH REMEMBERING

5 ideas

Prediction markets let people trade the event, not the reaction function.

Mansour’s core critique of traditional macro/event trades is that investors end up betting on how markets will respond to an outcome, which is often harder than predicting the outcome itself; event contracts isolate the belief being expressed.

Regulatory progress is “big-bang,” not incremental—plan for deserts, not milestones.

Kalshi spent years in a psychological grind where there were few encouraging intermediate signals, forcing the company to survive long stretches of uncertainty until discrete approval/denial moments.

Market design determines whether something behaves like gambling.

Kalshi emphasizes being a neutral venue where users trade against each other (not the house), because a house model is structurally incentivized to maximize customer losses and encourage unhealthy behavior.

Speculation is not a bug; it’s the liquidity engine for hedging.

Like grain futures, prediction markets require speculators to take the other side so that real-world hedgers (institutions, households, businesses) can transfer risk at a competitive price.

The cleanest bright line is manipulation (control over the event), not “knowing more.”

Mansour argues that having an informational edge via work (research, data gathering) is legitimate, but taking positions while having direct power to affect the outcome (e.g., a politician tanking a bill) should be banned as manipulation.

WORDS WORTH SAVING

5 quotes

They were right about the prediction, and they lost money.

Tarek Mansour

It's like a desert, you don't know if it ends. And so psychologically it's very taxing 'cause you're walking in that desert and you have no idea if this thing is ever going to end. You may actually just die.

Tarek Mansour

And, and, and it's like nonstop, just like knife after knife. But the most important thing is we won.

Tarek Mansour

If that's your business model, and that's what your incentive, uh, is, what are you gonna do? You're gonna promote losses.

Tarek Mansour

Wall Street will always beat Main Street. Wall Street will always beat the average person. The beauty of what we're building, it's just not the case. The average person is winning more than Wall Street.

Tarek Mansour

Origin story: Brexit/Trump trades and mispriced reactionsCFTC regulation and exchange/clearinghouse approval journeyElection markets, agency resistance, and suing the regulatorGambling vs financial markets: market structure and incentivesManipulation vs insider trading; MNPI and fairness normsHedging use cases: hurricanes, student loans, political riskLean org design: high agency, minimal hierarchy, managed work

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