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OpenAI is racing toward a trillion-dollar valuation while burning tens of billions on chips, data centers, and Azure commitments. We break down the new capital structure, Microsoft’s leverage, why Zuck is FOMO-building compute, and whether OpenAI should even want to be a public company. Also: the underrated bottlenecks—power, foundries, CUDA, China—and why this boom feels like 1999 with actual revenue.
Then we jump to biotech to cover the Pfizer and Novo bidding war for Metsera (Pfizer ultimately won with its $8 billion deal). The bidding for Metesera drew at least six bidders and may set-off a chain reaction in the GLP-1 space. We speculate on what this deal might mean for Viking (VKTX) and others in the GLP-1 / obesity space.
The AI & investing episode. Brian and Mik talk about whether AI will actually replace white-collar jobs or just transform them, how professionals can stay relevant by becoming AI-powered specialists, and where value might accrue across chips, power, “boring” traditional industries, and healthcare and drug discovery. They also explore whether giants like OpenAI will hoover up SaaS, how constraints in compute and electricity could shape the next decade, and why the biggest AI winners may come from unknown unknowns we can’t yet see.
In this episode, Brian and Mik launch a new segment called “Dealable”—where they set aside strict analysis and let their imaginations run on mergers, acquisitions, partnerships, and spin-outs that should happen (even if they probably won’t).
The conversation kicks off with Apple’s AI dilemma—is Siri too far behind, and could Apple’s cash hoard finally push them into a big acquisition? Would buying Perplexity or Anthropic give them the AI-native layer their ecosystem needs? And what about the $20B Google search deal that DOJ scrutiny could upend?
From there, they turn to Alphabet/Google, exploring what a DOJ-mandated divestiture could look like. Could Waymo be spun out to unlock value? What happens if Chrome were ever separated from Google Search? And whether DOJ case may require a meaningful remedy from Google (and possibly Apple).
It’s an episode full of hot takes, half-baked speculation, and a few insights that might just age into real deals.
Disclaimer: The views expressed are for entertainment purposes only. This is not investment advice. Please do your own research before making any financial decisions.
(This show was recorded on 31st July 2025)
Brian and Mik catch up on a few investment ideas they have been following
What we cover
Disclaimer: The views expressed are for entertainment purposes only. This is not investment advice. Please do your own research before making any financial decisions.
In this episode of FOMO Investing, Brian O’Neill and Mikhail Bulchandani do a deep dive into one of Brian’s favorite stocks, TG Therapeutics (TGTX). Brian outlines his multi-year investment thesis in TGTX, from its setbacks in oncology to its successful commercialization of Briumvi (ublituximab) for relapsing forms of multiple sclerosis.
What You’ll Learn:
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In this episode of FOMO Investing, Brian and Mik dive into the volatile world of Carvana, exploring its business model, recent stock performance, and the ongoing debate between short and long theses. Mik shares his personal experience selling cars to Carvana during the pandemic, leading into a discussion about the company's unique approach to the used car market. They analyze Carvana's operational efficiencies, the controversy surrounding related-party transactions, and the potential future of online car sales.
Links Mentioned
For the lucky no. 13 episode of FOMO Investing, we explore the powerful yet often misunderstood force of "Fear of Missing Out" (FOMO) in investing. We unpack the psychology behind why investors often feel compelled to act impulsively and discuss how some legendary investors harness this instinct to their advantage. We explore how to turn the urge to act into a structured process that maximizes your edge without succumbing to panic or peer pressure.
In this episode, we develop our Theory Of The Case (TOTC) on the ANSYS + Synopsys merger. We cover the potential upside from the deal. Why ANSYS + Synopsys could be the backbone of Physics AI. The merger arbitrage opportunity and lessons from past trades (hello, Rite Aid 👀)
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🎧 ANSYS CTO Dr. Prith Banerjee talks about the future of AI in Physics and Simulation on the Neil Ashton Podcast
In this episode of FOMO Investing, we dive into the full story of Checkpoint Therapeutics, a microcap biotech that just entered into an agreement to be acquired by Sun Pharma. Brian walks us through his personal “theory of the case”—from early conviction to final outcome—including investor psychology, capital efficiency, clinical development hurdles, and what the CVRs (Contingent Value Rights) might still deliver post-deal.
We explore the science behind Checkpoint UNLOXCYT™. How Checkpoint navigated FDA delays, dilution, and an unforgiving cash runway — all leading to an eventual $355 million acquisition.
Whether you're into biotech investing, thesis-driven trades, or just love a good underdog story, this one is packed with lessons on risk, timing, and what it takes to bring a new cancer therapy to market.
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An update to our Theory of The Case (TOTC) on IonQ ~ mid-January 2025.
We review Jensen Huang's and Mark Zuckerburg's claims about the timeline for useful quantum computing (being 15+ years out). We also include IonQ management responses, including the CFO's (Thomas Kramer) view.
We reflect on the current state of play of AI and the potential role for Quantum computing.
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