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The $90 Trillion Market You Don’t Know About Can Change Investing Forever | John Wang

Watch on YouTube ↗  |  June 25, 2026 at 02:00  |  32:49  |  The David Lin Report
Speakers
John Wang — Head of Crypto at Kalshi
David Lin — Founder & Host, The David Lin Report / ex-Anchor, Kitco News

Summary

John Wang, Head of Crypto at Kalshi, explains how prediction markets provide a competitive edge for investors by quantifying invisible risks. The discussion covers Kalshi's regulated crypto perpetual futures, the current crypto bear market as a buying opportunity, and why John believes the Citrini AI doomsday scenario is overestimated, favoring risk assets like equities and housing.

  • Prediction markets aggregate diverse data points to price events and reveal market expectations, often with high accuracy.
  • Kalshi offers the first regulated perpetual futures exchange in the US, allowing crypto trading with leverage and no expiry.
  • The crypto market is in a bear phase, but fundamentals such as a pro-crypto administration and institutional adoption support a bullish long-term view.
  • The Citrini AI doomsday scenario is priced at 30%, but John thinks the true probability is lower, implying less downside for S&P 500 and US housing.
  • Kalshi's products include prediction markets and perps, aiming to be a modern exchange with tools for both hedging and speculation.
  • The interview highlights how crypto, AI, and prediction markets intersect, with blockchain seen as the future rails for programmable internet.
Ideas
John Wang Head of Crypto at Kalshi 31:52
Citrini doomsday overpriced, risk-on assets favorable.
The Citrini AI doomsday scenario is currently priced at 30% probability, but that is too high because society adapts and 'nothing ever happens.' This suggests that the feared crash in S&P 500 and US housing is less likely, making those assets undervalued relative to disaster risk.
Up Next

This The David Lin Report video, published June 25, 2026, features John Wang discussing SPY, US Housing. 1 trade idea extracted by AI with direction and confidence scoring.

Speakers: John Wang  · Tickers: SPY, US Housing