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RiskReversal Pod

RiskReversal Pod

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Welcome to the RiskReversal Pod, where Dan Nathan and Guy Adami are joined by the most brilliant minds in markets and tech. We break down the most important market moving headlines to help listeners make better informed investing decisions. Our goal is to deconstruct Wall Street speak and offer contrarian insights and strategies that help investors navigate increasingly volatile markets. Tune into the RiskReversal Pod Monday through Friday for succinct 30 minute pod drops of market analysis that you won't find anywhere else. For new episodes of On The Tape with Danny Moses, search "On The Tape" in your favorite podcast platform. — FOLLOW US YouTube: @RiskReversalMedia Instagram: @riskreversalmedia Twitter: @RiskReversal LinkedIn: RiskReversal Media Economía Finanzas Personales Política y Gobierno
Episodios
  • Will The Capital Markets Close on OpenAI? | Steve Milunovich x Okay, Computer.

    Will The Capital Markets Close on OpenAI? | Steve Milunovich x Okay, Computer.
    Jan 28 2026
    Dan Nathan is joined by Steve Milunovich, a tech investor and retired sell-side analyst from Merrill Lynch. The discussion delves into the parallels between the AI boom and the dotcom era, touching on technological waves from the 1980s to the present. Milunovich highlights similarities such as early-stage winners, heavy capital expenditures, and the emergence of application layers later on. They also discuss the circular financing in the tech industry and potential risks, including heavy reliance on significant players like Nvidia and issues surrounding supply constraints. The conversation explores the broader implications of AI across various industries, including financial institutions and industrials, and considers the timeline for wider adoption and monetization of AI technologies. The dialogue is framed by historical context, with references to past tech bubbles, network effects, and the potential for new winners in unexpected sectors. Show Notes AI: The Wrong Kind of Bubble (Breadcrum.vc) Meta inks deal to pay Corning up to $6 billion for fiber-optic cables in AI data centers (CNBC) AI productivity is about to become visible and investable (FT) —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media
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    37 m
  • Earnings Expectaions This Week + "He Said, She Said" Goes To Japan

    Earnings Expectaions This Week + "He Said, She Said" Goes To Japan
    Jan 26 2026
    Guy Adami and Dan Nathan break down the biggest week of earnings season 2026, featuring high-stakes reports from Boeing, Microsoft, Texas Instruments, Apple, SanDisk, Western Digital, Exxon, and Chevron. Plus, Jen Saarbach and Kristin Kelly join for "He Said She Said" to analyze Japan's historic bond market crisis and the Netflix-Warner Bros-Paramount M&A saga. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media
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    40 m
  • Rosie Shiny on Gold with a $6,000 Target

    Rosie Shiny on Gold with a $6,000 Target
    Jan 23 2026
    Dan Nathan and Guy Adami are joined by David Rosenberg, founder and president of Rosenberg Research. The discussion covers Rosenberg's past market predictions, his outlook for 2025-2026, and his insights on various economic themes. Rosenberg reflects on his bearish stance on US equities and bullish view on long-term treasuries, analyzing key trends like inflation, the impact of tariffs, and the strength of the US dollar. The conversation also touches on the influence of AI-related investments in the market, the economic implications of stock market performance, and the potential for recession given current employment and income data. Rosenberg emphasizes the importance of understanding market cycles and the significant role of investor behavior. The episode concludes with his views on gold prices, central bank policies, and possible future economic scenarios. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media
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    54 m
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