Talking Billions with Bogumil Baranowski
Talking Billions with Bogumil Baranowski

Gary Mishuris on Mispriced Fear and Lessons from Warner Brothers: 10 Cents on the Dollar | Excess Returns Pod

24 January 2026 1:03:25 Bogumil Baranowski

Listen to episode

About this episode

I had the pleasure of co-hosting another episode of Excess Returns with Matt Zeigler.

In this episode of Excess Returns, we sit down with Gary Mishuris, Managing Partner and CIO of Silver Ring Value Partners, to explore how deep fundamental analysis, behavioral insight, and disciplined process come together in real-world investing. Gary shares formative lessons from his early career at Fidelity during the post-tech bubble period, including firsthand experiences learning from legends like Peter Lynch, and connects those lessons to how he evaluates value, quality, and mispricing today. The conversation spans a detailed case study on Warner Bros. Discovery, portfolio construction under uncertainty, selective use of options, and how artificial intelligence is reshaping the research process for long-term investors.

Available now on Excess Returns Podcast and Talking Billions. 🎧

I’m excited to share this episode with you—it’s reposted here with permission and blessing from both Matt and Jack. Don’t miss it! And follow their work, links below.

https://excessreturnspod.com/

https://cultishcreative.com/

Topics covered in this episode
• Lessons from Peter Lynch and Fidelity on why “just cheap” does not work
• The Silver Ring origin story and how early life experiences shaped a value investing mindset
• Warner Bros. Discovery as a good business plus bad business mispricing case study
• How hated stocks, spin-offs, and catalysts can unlock hidden value
• Conviction, position sizing, and staying rational when the market disagrees
• When and why options can be used in a value investing framework
• Auctions, ego, and why prices can overshoot intrinsic value
• The role of mental models like reflexivity, activation energy, and lollapalooza effects
• How AI fits into an investment research process without replacing judgment
• What average investors should understand about incentives and simplicity
Timestamps
00:00 Introduction and why “just cheap” does not work
02:20 Early career at Fidelity and lessons from Peter Lynch
07:40 The Silver Ring story and learning what real value means
12:00 Warner Bros. Discovery and the good company bad company problem
18:30 Conviction, mispricing, and maintaining discipline in hated stocks
26:40 Using options selectively and managing portfolio-level risk
34:10 Auctions, ego, and when price can detach from intrinsic value
44:30 Entertainment, media disruption, and evergreen demand for content
49:50 How AI is changing equity research and idea generation
55:40 What AI can see that humans often miss
01:00:30 One lesson for the average investor

Podcast Program – Disclosure StatementBlue Infinitas Capital, LLC is a registered investment adviser and the opinions expressed by the Firm’s employees and podcast guests on this show are their own and do not reflect the opinions of Blue Infinitas Capital, LLC. All statements and opinions expressed are based upon information considered reliable although it should not be relied upon as such. Any statements or opinions are subject to change without notice.

Information presented is for educational purposes only and does not intend to make an offer or solicitation for the sale or purchase of any specific securities, investments, or investment strategies. Investments involve risk and unless otherwise stated, are not guaranteed.

Information expressed does not take into account your specific situation or objectives, and is not intended as recommendations appropriate for any individual. Listeners are encouraged to seek advice from a qualified tax, legal, or investment adviser to determine whether any information presented may be suitable for their specific situation. Past performance is not indicative of future performance.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Talking Billions with Bogumil Baranowski. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.