Chris Mayer on SpaceX, AI Reckoning, and Why Early Is Overrated

Chris Mayer on SpaceX, AI Reckoning, and Why Early Is Overrated

On this episode of the 100 Year Thinkers, Chris Mayer and Matt Zeigler discuss long-term investing, 100-baggers, AI stocks, SpaceX valuation, founder-led companies, and why the best investments often come with brutal drawdowns. We also cover his new book The Investor's Odyssey, the danger of letting labels like AI do too much work, how to think about TAM and capital allocation, and why patience may be the biggest edge for investors trying to own great businesses for decades. The Investor's Odyssey: Resisting the Sirens and Playing the Long Game https://amzn.to/44BMXeJ [https://amzn.to/44BMXeJ]Main topics covered * Why SpaceX, AI and trillion-dollar IPOs are testing investor discipline * How Chris Mayer thinks about valuation after watching Google become a huge winner * Why great businesses can still be terrible investments at the wrong price * The danger of letting labels like AI, quality and TAM replace real analysis * Why many AI features may not create real customer value * What the dot-com bubble can teach investors about AI adoption and shakeouts * Why investors do not need to be early if a company is truly exceptional * How to separate AI anecdotes from real financial impact * Why capital allocation and return on invested capital matter more as companies scale * How to evaluate founder control, governance, incentives and trust * Why the best long-term stocks can still fall 50 percent or more along the way * What rational exuberance might look like for long-term investors Timestamps 00:00 Intro: Chris Mayer on AI, SpaceX and long-term investing 04:00 SpaceX valuation vs Google and the risk of paying too much 08:01 Why labels like AI and quality can do too much work 12:05 The AI pause, the dot-com analogy and where real value may emerge 16:06 Why investors do not need to be early when a business is real 21:00 Becoming a great company versus already being mature 25:10 Thinking about TAM, market share and realistic growth expectations 29:43 Corporate governance, free float and shareholder rights 34:27 How to judge founder trust, incentives and compensation 38:57 Employee ownership, culture and building enduring companies 43:02 Investor frustration in a lopsided AI-driven market 47:02 Why even a perfect stock picker would face brutal drawdowns 52:17 The rise of trillion-dollar IPOs and the question of rational exuberance 56:29 The Investor's Odyssey and playing the long game

The Problem With Modern Portfolio Theory | Robert Hagstrom on How Comfort Trumped Returns

In this episode of The 100-Year Thinkers, Robert Hagstrom explains why modern portfolio theory pulled investors away from business analysis and toward portfolio math. In this episode, Hagstrom, Matt Zeigler and Bogumil Baranowski discuss Markowitz, beta, efficient markets, Warren Buffett, Charlie Munger, business-driven investing, owner earnings, benchmarks, and why thinking like a business owner changes how investors understand risk. The Warren Buffett Portfolio, 25th Anniversary Editionhttps://amzn.to/4uz8sZ3 Topics covered: * Why Hagstrom thinks modern portfolio theory changed investing’s objective * The difference between volatility, variance and real investment risk * How Benjamin Graham and John Burr Williams framed risk around intrinsic value * Why beta became the dominant shorthand for risk * How the 1973-74 bear market helped institutionalize modern portfolio theory * Why Berkshire preserved the business owner’s lens * The “cathedral and casino” distinction between owning businesses and trading stocks * Owner earnings, return on invested capital and cost of capital * Why business owners often make better long-term equity investors * Look-through earnings and building a “mini Berkshire” * The difference between making money and beating a benchmark * How benchmarks can distort investor behavior * Why knowing yourself and your clients matters in portfolio construction Timestamps: 00:00 Robert Hagstrom on why risk is not volatility 00:40 Business-driven investing vs portfolio math 02:42 How modern portfolio theory defined risk as variance 06:38 Graham’s margin of safety vs Markowitz’s definition of risk 09:44 Sharpe, beta and simplifying portfolio risk 12:51 Why the 1973-74 bear market helped MPT take over 16:20 Why MPT became institutionalized without proving it could beat the market 18:53 Buffett, Keynes and concentrated investors violating MPT 22:53 Stocks as businesses and Buffett’s cathedral vs casino 30:01 Business analysis, owner earnings and return above cost of capital 36:41 Look-through earnings and running a mini Berkshire 41:34 Making money vs outperforming a benchmark 47:30 Why Berkshire’s public and private businesses shaped Buffett 50:05 How investors can start applying the Buffett way 54:05 Bogumil on how investing theory becomes accepted truth 58:09 Why direct ownership creates responsibility and conviction 01:00:15 Investor know thyself and the limits of outsourcing caring 01:03:35 Finding the right clients for a business-owner investing approach

The Last Moat | Chris Mayer and Ian Cassel on the Stock Picking Edge AI Can’t Replicate

This episode of 100 Year Thinkers brings together Chris Mayer and Ian Cassel for a deep discussion on long-term stock picking, microcap investing, business quality, AI disruption, management teams, and the behavioral skills that separate great investors from great analysts. They explore why the edge in investing may increasingly come from judgment, presence, relationships, patience, and the ability to hold the right businesses through uncertainty. Resources Discussed The Last Moat https://microcapclub.com/the-last-moat/ [https://microcapclub.com/the-last-moat/] Stock Picker by Ian Cassel https://microcapclub.com/stock-picker/ [https://microcapclub.com/stock-picker/] The Investor’s Odyssey by Chris Mayer https://www.amazon.com/Investors-Odyssey-Resisting-Sirens-Playing/dp/B0GJ3G6F2S [https://www.amazon.com/Investors-Odyssey-Resisting-Sirens-Playing/dp/B0GJ3G6F2S] Follow Chris Mayer on Twitter https://x.com/chriswmayer [https://x.com/chriswmayer] Follow Ian Cassel on Twitter https://x.com/iancassel [https://x.com/iancassel] Topics Covered * Why being present with management teams may still be an investor edge in the age of AI * How microcap investing differs from small-cap, mid-cap and large-cap investing * Why talking to management can build conviction but also create bias * How Chris Mayer thinks about vertical market software, mission-critical systems and AI disruption * Why AI may become table stakes rather than a durable competitive advantage * How small companies can use AI to improve workflows, sales, inventory and productivity * Why many microcaps have short shelf lives and rarely become true long-term compounders * The role of intelligent fanatics, owner-operators and repeat winners in great investments * Why management transitions can create powerful microcap opportunities * The difference between being a great analyst and being a great investor * Why execution, position sizing, selling losers and holding winners matter more than hit rate * How Matt and Bogumil apply the lessons to AI, business quality and the limits of small business scalability Timestamps 00:49 Introducing Chris Mayer, Ian Cassel and 100 Year Thinkers 04:59 Ian Cassel’s first management meeting and XM Satellite Radio 09:00 Why management meetings deepen understanding but can also mislead 14:32 Chris Mayer on the real edge in long-term investing 18:40 Mission-critical software, systems of record and AI disruption 22:45 How microcap companies are using AI in real businesses 27:02 AI as table stakes and when disruption creates opportunity 31:29 Why most microcaps have short shelf lives 35:51 Finding Tom Brady before the market knows he is Tom Brady 40:53 Why owner-operators and intelligent fanatics matter 45:03 Second-in-command leaders, repeat winners and chips on shoulders 49:27 Analyst vs investor and the missing skills of stock picking 54:00 Using data to identify investor strengths, weaknesses and decision errors 58:14 Position sizing and letting small positions earn the right to grow 01:03:00 Peter Lynch, stocks as businesses and learning to think like an owner 01:07:00 AI, human judgment and the limits of automation 01:11:00 Why not every small business can become the next Facebook 01:15:00 Where to follow Bogumil and the 100 Year Thinkers series

46 Stocks Created Half of All Market Wealth | Chris Mayer and Robert Hagstrom on the Outliers that Break Base Rates

In this episode of the 100 Year Thinkers, Robert Hagstrom and Chris Mayer explore how investors should think about base rates, extreme outcomes, and the realities of long-term wealth creation in markets. Applying the work of Michael Mauboussin, the conversation challenges conventional ideas like mean reversion and highlights why a small number of companies drive most stock market returns—and what that means for portfolio construction.tives distort investing decisions Topics covered • Why markets are driven by extreme outcomes and power laws, not averages • The Best & Bessembinder research showing a handful of stocks create most wealth • Base rates vs outliers and when to trust historical probabilities • Why the 100 bagger framework focuses on studying winners, not predicting them • Portfolio construction as a way to capture asymmetric upside • Buffett’s approach to consistency, durability, and long-term operating history • Inside view vs outside view and how narratives distort investing decisions • Why AI may be breaking traditional base rate assumptions in software and tech • The limits of mean reversion and why it can lead investors astray • Return on invested capital and how competition erodes excess returns over time • Identifying durable moats and why most advantages eventually get attacked • Winner-take-all dynamics and how they shape long-term investing outcomes • The twin engines of returns: earnings growth and multiple expansion • Return on incremental capital as a key driver of long-term compounding • Intangible assets and why accounting understates true business value • Amazon as a case study in misunderstood profitability and reinvestment • AI CapEx cycle and why current spending may not be sustainable long term • Why great businesses matter more than great management in long-term investing Timestamps 00:00 Why extreme outcomes drive stock market returns 01:00 Base rates vs studying 100 baggers 03:00 Power laws and why markets are a game of outliers 05:00 Just 46 companies created half of all market wealth 07:00 Buffett on consistency and long-term operating history 10:00 How to think about base rates in AI, energy, and macro cycles 12:00 Does AI invalidate historical base rates? 15:00 Inside view vs outside view in investment decision making 19:00 Buffett’s “certainty at a discount” framework 23:00 How often investors should evaluate businesses vs prices 29:00 Mean reversion myths and where it breaks down 33:00 Return on invested capital and competitive pressure 36:00 Moats, winner-take-all markets, and long-term dominance 41:00 Twin engines of compounding: growth plus multiple expansion 43:00 Return on incremental capital and forecasting future returns 47:00 Intangibles and why accounting distorts real business value 50:00 Amazon, CapEx cycles, and hidden profitability 53:00 AI infrastructure buildout and the future of returns

This Hasn’t Happened Since 1999 | The 100 Year Thinkers on Why Safe Stocks Have Become Dangerous

In this episode of the 100 Year Thinkers, Matt Zeigler and Bogumil Baranowski continue their conversation with Robert Hagstrom and Chris Mayer, diving deeper into general semantics and what it means for investors navigating AI enthusiasm, market volatility, benchmark obsession, and the gamification of markets. From Warren Buffett’s cathedral versus casino metaphor to the risks hiding in so-called “safe” consumer staples stocks, this discussion explores how language, expectations, and mistaken certainty shape investment decisions. If you want to think more clearly about markets, technology, valuation, and your own reactions as an investor, this episode offers a powerful mental framework. Topics Covered * What general semantics is and how language influences how investors think * IFD disease idealism frustration demoralization and how unrealistic expectations impact markets * AI hype, capital spending, and the prisoner’s dilemma facing major tech companies * Warren Buffett’s cathedral versus casino metaphor and what it means for investors today * Why beating the S and P 500 may not be the right benchmark for success * The gamification of markets, retail trading growth, and the shift from long-term investing to speculation * Terminal value risk in software stocks amid AI disruption * Why low volatility “warm fuzzy” stocks like consumer staples may be more dangerous than they appear * Expectations investing, confidence versus overconfidence, and avoiding mistaken certainty * The map is not the territory and how to avoid confusing models with reality * Everything is connected to everything else markets as biological systems rather than mechanical systems * Delayed gratification, compounding, and why wealth is built later in the investment journey Timestamps 00:00 Cathedral versus casino capitalism and the market metaphor 02:00 What is general semantics and why it matters for investors 03:00 IFD disease unrealistic expectations and AI hype 06:40 Outperformance, Bill Miller, and unrealistic return expectations 09:00 Are market benchmarks the right way to measure success 12:00 What if stock market indexes did not exist 14:00 Public versus private markets and myopic loss aversion 18:40 Compounding, volatility, and delayed gratification 21:00 AI valuations, strategic capital spending, and economic returns 24:20 The AI adoption cycle frustration and demoralization 30:40 The man in overalls story and delaying reactions 33:30 Warren Buffett cathedral versus casino metaphor revisited 35:00 Gamification of markets passive flows and species shift in investing 39:00 When to sit still versus when to act in volatile markets 43:00 Mistaken certainty and the biggest risks in today’s market 45:00 The hidden risk in consumer staples and low volatility stocks 47:20 Expectations investing confidence versus overconfidence 49:40 Everything is connected markets as living systems 53:00 What success really means beyond beating an index 56:20 The map is not the territory final lessons for investors