Cathie Wood and ARK’s Nick Roose argue that prediction markets with Kalshi can surface event-driven stock catalysts, expand financial innovation, and potentially revive active management. The bulk of the episode is a macro tour: they’re constructive on U.S. growth, productivity, and the dollar, while expecting inflation to ease after a near-term Middle East oil shock passes.
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Cathie Wood opens by announcing ARK Invest’s partnership with Kalshi and frames prediction markets as a new way to surface actionable event data around technology, macro statistics, and company catalysts. Nick Roose says ARK is using Kalshi as a data-insights tool rather than trading, and suggests prediction markets could become a major source of discrete-event signals for equities and other assets. Cathie then broadens that idea into a thesis that event-driven markets could make active equity management more relevant again, because investors would focus more directly on stock-moving catalysts instead of broad passive exposure. The rest of the episode is a macro and market commentary segment built around a set of Kalshi markets and ARK’s framework. Cathie argues that the U.S. fiscal deficit trend is improving but temporarily disrupted by Middle East conflict and defense spending. …
Near term, the setup is about whether the oil shock and PPI strength keep pressure on margins and rate expectations. That makes consumer-facing names and inflation-sensitive assets the most tactically vulnerable until the Middle East-driven price impulse cools.
Over the next several months, ARK’s base case is that supply-side growth, AI-driven productivity, and stronger manufacturing offset the current cost shock. If unit labor costs roll over and inflation remains contained, the market should rotate toward higher-quality growth and active, catalyst-driven selection.
The long-run regime view is that AI and related innovation platforms are structurally deflationary and will raise productivity enough to alter inflation dynamics. If that thesis holds, active management gains relevance because stock performance will increasingly depend on discrete catalysts and operating leverage rather than broad index beta.
ARK has partnered with Kalshi to surface prediction-market data for investment research, not for trading.
Nick says they are using the markets as data insights and are not participating in them.
Prediction markets could help bring active equity management back into style by focusing investors on discrete stock-moving events.
Cathie explicitly connects event markets to stock catalysts and active management.
The prediction-markets space could grow to $5 trillion in notional volume over the next few years.
Nick gives a specific medium-term market size forecast and compares it to the derivatives market.
Why don't you set it up and give our viewers a sense of what they're going to see today?
Nick explains the ARK-Kalshi collaboration as a research partnership built to surface useful prediction-market data around technology, macro, and company catalysts, while emphasizing ARK is not trading these markets.
Will the U.S. federal deficit-to-GDP ratio drop below 5% for fiscal year 2026?
Cathie says the odds fell because of the Middle East war and higher defense spending, but she still thinks the economy can eventually grow fast enough to get back toward a 3% deficit path.
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