Explore every episode of the podcast The 100 Year Thinkers: Long-Term Compounding in a Short-Term World
Dive into the complete episode list for The 100 Year Thinkers: Long-Term Compounding in a Short-Term World. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.
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Title
Pub. Date
Duration
Chris Davis and Robert Hagstrom on Holding Great Companies, Index Risk and Who Really Wins From AI
09 oct. 2026
01:13:58
Chris Davis and Robert Hagstrom explore the tension between holding great businesses and keeping a winning stock from becoming too much portfolio risk. Why do two investors who believe in letting winners compound also use 10% position limits?
On this episode of 100 Year Thinkers, Chris Davis of Davis Funds and Robert Hagstrom of EquityCompass join Matt Zeigler and Bogumil Baranowski to discuss position sizing, selling mistakes, index concentration and the cost of growth. From Chris Davis’s experience selling Costco to the debate over who will capture AI’s economic benefits, they examine what it takes to hold a business through uncertainty without ignoring risk. Stay for Matt and Bogumil’s closing discussion of the lessons for investors.
Topics covered:
Why selling a genuinely great business can be an investor’s most expensive mistake
How client behavior and fund constraints influence 10% position limits
Chris Davis’s concerns about index concentration, momentum and future IPO incentives
Robert Hagstrom on trimming positions as the margin of safety shrinks
The bull-case pre-mortem: asking what could make selling today a mistake
What Chris Davis missed about Costco’s growth and ability to adapt
Why identical earnings growth can produce different shareholder returns
Whether AI spending builds durable pricing power or delivers more value to users
How customer trust and restraint on margins can strengthen competitive advantages
Balance sheets, circular financing and the humility required to size a position
00:00 Holding great businesses and the case for position limits 06:47 Robert Hagstrom on concentration and client risk 12:40 Index concentration, momentum and IPO incentives 19:03 Trimming winners, margin of safety and the Costco lesson 30:09 Valuation, return on capital and the cost of growth 36:01 Is AI’s capital spending cycle temporary? 40:10 AI pricing power: builders versus users 45:35 Competitive advantage, margins and customer trust 51:45 Balance sheets and circular AI financing 55:53 Evaluating the AI investment cycle 01:00:23 Matt and Bogumil’s takeaways: position sizing and AI 01:10:25 Being an AI user versus an AI investor
No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
Buffett's Mistakes Had One Cause | The 100 Year Thinkers on the Hardest Part of Holding Forever
06 sept. 2026
01:02:17
Chris Mayer and Robert Hagstrom join Matt Zeigler on 100 Year Thinkers to explore how investors can identify great businesses, hold them through volatility, and let compounding work over decades.
Drawing on Mayer's book The Investor's Odyssey, they discuss Warren Buffett's investing philosophy, durable competitive advantages, investor psychology, and the portfolio management decisions that help long-term investors stay the course.
The original Buffett partnership investor who held Berkshire Hathaway for decades
Why individual investors can have an advantage over professional money managers
The coffee can portfolio and resisting the pressure to trade
How loss aversion and constant price updates undermine long-term investing
High returns on capital, reinvestment, and the power of compounding
Assessing whether competitive advantages can survive AI and new competitors
Distinguishing temporary stock declines from deteriorating businesses
Why great investment track records include periods of underperformance
Invisible moats, employee incentives, and lessons from companies that survived 100 years
Position sizing, letting winners run, and combining stock picking with index funds
Timestamps:
00:00 Chris Mayer's The Investor's Odyssey and the Berkshire buy-and-hold story 04:20 Why more investors don't hold great businesses for decades 09:44 Resisting financial media and the pressure to act 15:59 Loss aversion and protecting yourself from market noise 21:12 Compounding returns and how long a competitive advantage lasts 26:25 Separating AI disruption fears from business fundamentals 30:38 Why outperforming investors still lag the market frequently 36:45 Evaluating the business before the management team 41:26 Invisible moats in trucking and insurance brokerage 48:03 Building a business culture that outlasts its leaders 53:05 Position sizing and why stock picking is only half the job 58:06 Combining index funds with a patient stock portfolio
No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms or their clients.
Warren Buffett Published His Whole Playbook | Robert Hagstrom on Why Only One Tenth of 1% Uses It
27 juil. 2026
01:07:23
Robert Hagstrom joins Matt Zeigler and Bogumil Baranowski to revisit the 25th anniversary edition of The Warren Buffett Portfolio and explain why volatility is not the same as investment risk.
They discuss concentrated portfolios, active share, business valuation, behavioral finance, complex adaptive systems, and Warren Buffett's warning that the market's casino can overwhelm its cathedral.
Why Markowitz's definition of risk as variance shaped modern portfolio theory
Why Buffett views permanent capital loss, not volatility, as the real investing risk
What Hagstrom's study of 3,000 portfolios revealed about concentration and market outperformance
The difference between know-something investors and investors better served by indexing
How benchmark awareness creates closet indexers and weakens active management
What loss aversion and prospect theory explain about investor behavior
Why Darwin, William James, and complex adaptive systems offer better models for markets
Buffett's cathedral and casino metaphor for business ownership versus speculation
The El Farol problem, Jim Simons, and why successful market models stop working
Why options trading, leveraged ETFs, and record single-stock dispersion may be strengthening the casino
How to evaluate portfolios using cash flow, return on invested capital, and look-through earnings
Why permanent capital and System 2 thinking are essential for focused investing
Timestamps
00:00 Intro 04:00 Why Markowitz defined risk as variance 11:47 What 3,000 portfolios revealed about concentration 17:17 Know-something versus know-nothing investors 22:23 Kahneman, loss aversion, and modern portfolio theory 26:58 Darwin, pragmatism, and adaptive markets 32:28 Buffett's cathedral and casino metaphor 37:37 The El Farol problem and why markets resist prediction 42:08 Why investors crave market forecasts 46:16 Why investing is most intelligent when businesslike 51:38 Record stock dispersion, options, and leveraged ETFs 56:00 Measuring portfolio progress through business economics 01:00:43 Why permanent capital enables focused investing 01:04:43 How markets survive widespread investor mistakes
No information discussed in this podcast should be construed as investment advice. Securities discussed may be held by the hosts and guests, their firms, or their clients.
Chris Mayer on SpaceX, AI Reckoning, and Why Early Is Overrated
26 juin 2026
00:58:01
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/44BMXeJMain 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
29 mai 2026
01:06:06
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
04 mai 2026
01:16:27
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.
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
23 mars 2026
01:11:45
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
21 févr. 2026
01:15:39
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
The Labels That Destroy Returns | Chris Mayer and Robert Hagstrom on How Language Misleads Markets
23 janv. 2026
01:14:17
When Robert Hagstrom and Chris Mayer sit down together, the conversation goes far beyond stock picking. Join them, along with Matt Zeigler and Bogumil Baranowski to explore how investors think, how language shapes decision making, and why many of the debates dominating today’s markets miss the deeper pointDrawing on ideas from general semantics, mental models, and long-term capital compounding, the discussion reframes market concentration, AI, valuation, and risk through a more durable lens built for long-horizon investors.
Topics covered in this episode
Why high valuation multiples are not automatically a sign of overvaluation
What return on invested capital really tells you about long-term compounding
The difference between describing a business and understanding the business itself
Market concentration, index construction, and why benchmarks can mislead investors
The idea of time binding and what investors can learn from history without overfitting it
Map versus territory and how financial statements can obscure underlying business reality
AI investing, capital allocation, and separating durable businesses from speculative narratives
Why many valuation debates are really disagreements about time horizon
How language, labels, and mental shortcuts create overconfidence in investing
What it takes for a company to compound capital over decades, not years
Timestamps 00:00 Introduction and why valuation multiples alone are misleading 02:30 Time binding and how accumulated knowledge shapes investing 04:45 Market concentration and what history can and cannot tell us 06:30 Index construction, market cap weighting, and benchmark distortions 09:55 Map versus territory and the limits of financial statements 12:30 History, narratives, and how descriptions shape beliefs 17:00 AI narratives, capital spending, and separating signal from noise 20:40 Technology cycles, bubbles, and what past revolutions can teach investors 24:20 Why language matters in investing and the danger of saying something is 29:50 Dating and indexing companies to avoid static thinking 34:00 Global markets, changing data sets, and why comparisons break down 38:30 Returns on capital, scale, and why today’s winners dominate indexes 42:00 The pace of change in technology and market structure 47:40 True, false, and indeterminate answers in valuation debates 52:00 Capital allocation, balance sheet risk, and surviving volatility 56:30 What really matters in 100x investments 58:30 Final thoughts and recommended reading
The Wall Street Labels That Trap You: Chris Mayer & Robert Hagstrom on How Language Misleads Markets
15 déc. 2025
01:12:57
In this episode, Robert Hagstrom , Chris Mayer , Bogumil Baranowski and Matt Zeigler return for a wide-ranging conversation on how great investors really think. Rather than focusing on formulas, factor labels, or short-term market predictions, the discussion explores investing as a discipline grounded in philosophy, language, psychology, and long-term business fundamentals. Drawing on ideas from Warren Buffett, Charlie Munger, Bill Miller, and thinkers from outside finance, this conversation challenges many of Wall Street’s most common assumptions and offers a deeper framework for making better long-term investment decisions.
Topics covered in this episode
Why value investing has nothing to do with price to earnings or price to book ratios
The false divide between value and growth investing and why growth is a component of value
How abstractions and labels distort decision making in markets
General semantics and how language shapes investing mistakes
Charlie Munger’s concept of worldly wisdom and the latticework of mental models
Why reversion to the mean is a flawed way to think about markets
The stock market as a complex adaptive system rather than a predictable machine
Why most market forecasts fail and why people still believe them
Myopic loss aversion and how frequent evaluation destroys long-term returns
The importance of time horizon, patience, and long-term compounding
How great investors think about conviction, uncertainty, and being wrong
When to hold through difficulty versus when to exit an investment
Lessons from Buffett, Munger, and Bill Miller on thinking independently
Timestamps 00:00 Value investing beyond ratios and labels 01:00 Introducing Robert Hagstrom and Chris Mayer 02:30 Investing as a subdivision of worldly wisdom 04:10 Abstractions, language, and Wall Street thinking 07:30 General semantics and investing mistakes 09:00 Latticework of mental models and interdisciplinary thinking 12:30 Buffett’s rejection of Wall Street jargon 18:55 Value versus growth and why the labels fail 23:40 Language, meaning, and investment errors 27:00 Time horizon, myopic loss aversion, and frequent evaluation 31:00 Sideways markets and where returns really come from 36:50 Complex adaptive systems and why prediction fails 40:00 Spurious correlations and false cause and effect 45:00 Forecasting, randomness, and the illusion of certainty 48:00 Conviction, expectations, and uncertainty in investing 50:00 When to sell and the cost of being wrong 54:30 Building an interdisciplinary investing framework
The Elusive Search for the Perfect Business | Chris Mayer and Robert Hagstrom
13 nov. 2025
01:02:21
This episode of The 100 Year Thinkers brings together Robert Hagstrom, Chris Mayer, and Bogumil Baranowski for a deep conversation on what makes a great business, why long-term investing is so hard, and how the world’s best investors think about mistakes, management, conviction, and the durability of competitive advantages. We explore perfect businesses, the pain of missed opportunities, the behavioral traps that derail long-term compounding, and how to navigate rapid technological change while keeping your investment process grounded.
Topics covered: • What defines a perfect business and why so few qualify • The role of capital efficiency, returns on capital, and cash generation • Why omissions are often investors’ most painful mistakes • How to build conviction to hold great companies through drawdowns • The behavioral edge of true long-term investing • Management quality, insider ownership, incentives, and red flags • Why owner earnings and free cash flow matter more than GAAP earnings • The challenge of evaluating fast-changing industries and staying within your circle of competence • How AI, networks, and scale economics reshape competitive moats • Portfolio management lessons, starter positions, and letting winners run
Timestamps: 00:00 Perfect businesses and long-term economics 01:49 Defining the perfect stock 03:27 Holding long term through volatility 07:30 Behavioral inefficiencies and market structure 09:15 Humanizing mistakes and decision making 14:28 Errors of omission and painful missed opportunities 19:00 What to look for in management 24:27 Signals from financial disclosures and actions 26:00 Key quantitative metrics for long-term compounders 34:04 Owner earnings vs GAAP earnings 37:00 Intangible investment and modern cash flow analysis 38:50 Circle of competence and fast-changing industries 42:00 Large language models, networks, and moats 43:52 AI use cases and productivity 45:00 Closing thoughts and where to find the guests 46:25 Episode recap and takeaways
The 100 Year Thinkers | Chris Mayer and Robert Hagstrom on Finding the Next Great Compounders
13 oct. 2025
00:58:40
In a world that moves tick by tick and quarter by quarter, The 100-Year Thinkers zooms out to explore what it really means to invest with patience, discipline, and perspective.
In this premiere episode, join Matt Zeigler, Bogumil Baranowski, Chris Mayer, and Robert Hagstrom as they discuss market concentration, the dominance of mega-cap stocks, and how investors can think in decades—not days.
Together, they explore the evolution of active management, the role of the S&P 500, the challenge of private equity, and how to build portfolios that last.
• Concentration and the rise of mega-cap dominance • Equal-weight vs. market-cap-weighted indexes • The role of the S&P 500 and how it shapes investor behavior • Why the Magnificent Seven may not repeat past winners’ mistakes • The differences between today’s tech leaders and the 1999 bubble • The changing nature of private equity and illiquidity premiums • How to define success as an investor beyond beating the index • The importance of focusing on business economics over stock prices • Lessons from Buffett, Bill Miller, and other long-term thinkers
00:00 Concentration and portfolio construction 04:00 Market-cap dominance and equal vs. cap weighting 10:30 Active management, benchmarks, and the S&P 500 17:00 Economic realities of the top 10 stocks 23:00 Government policy and market intervention 26:00 Comparing 2024 to 1999 and lessons from past cycles 32:00 Innovation, Russell 2000, and private company growth 40:00 Active management and how the S&P wins 41:45 The private equity boom and its challenges 49:00 Redefining performance and investor goals 55:00 The importance of focusing on business economics 57:00 Closing thoughts and where to find the guests