The 100 Year Thinkers | Chris Mayer and Robert Hagstrom on the Dangers of Abstraction

In this episode of Excess Returns, we sit down with David Wright, Head of Quantitative Investing at Pictet Asset Management, for a deep and practical conversation about how artificial intelligence and machine learning are actually being used in real-world investment strategies. Rather than focusing on hype or black-box promises, David walks through how systematic investors combine human judgment, economic intuition, and machine learning models to forecast stock returns, construct portfolios, and manage risk. The discussion covers what AI can and cannot do in investing today, how machine learning differs from traditional factor models and large language models like ChatGPT, and why interpretability and robustness still matter. This episode is a must-watch for investors interested in quantitative investing, AI-driven ETFs, and the future of systematic portfolio construction.Main topics covered:What artificial intelligence and machine learning really mean in an investing contextHow machine learning models are trained to forecast relative stock returnsThe role of features, signals, and decision trees in quantitative investingKey differences between machine learning models and large language models like ChatGPTWhy interpretability and stability matter more than hype in AI investingHow human judgment and machine learning complement each other in portfolio managementData selection, feature engineering, and the trade-offs between traditional and alternative dataOverfitting, data mining concerns, and how professional investors build guardrailsTime horizons, rebalancing frequency, and transaction cost considerationsHow AI-driven strategies are implemented in diversified portfolios and ETFsThe future of AI in investing and what it means for investorsTimestamps:00:00 Introduction and overview of AI and machine learning in investing03:00 Defining artificial intelligence vs machine learning in finance05:00 How machine learning models are trained using financial data07:00 Machine learning vs ChatGPT and large language models for stock selection09:45 Decision trees and how machine learning makes forecasts12:00 Choosing data inputs: traditional data vs alternative data14:40 The role of economic intuition and explainability in quant models18:00 Time horizons and why machine learning works better at shorter horizons22:00 Can machine learning improve traditional factor investing24:00 Data mining, overfitting, and model robustness26:00 What humans do better than AI and where machines excel30:00 Feature importance, conditioning effects, and model structure32:00 Model retraining, stability, and long-term persistence36:00 The future of automation and human oversight in investing40:00 Why ChatGPT-style models struggle with portfolio construction45:00 Portfolio construction, diversification, and ETF implementation51:00 Rebalancing, transaction costs, and practical execution56:00 Surprising insights from machine learning models59:00 Closing lessons on investing and avoiding overtrading

In this episode of our new show The 100 Year Thinkers, Robert Hagstrom, Chris Mayer, Bogumil Baranowki and Matt Zeigler explain how investors get trapped by labels, abstractions, and simplistic models, and why breaking free with better mental models, language, and long-term thinking is a real edge in markets.Subscribe on Spotify⁠⁠https://open.spotify.com/show/5IsVVM27KWP6SUW6KN2ife⁠⁠Subscribe on Apple Podcasts⁠⁠https://podcasts.apple.com/us/podcast/the-100-year-thinkers-long-term-compounding-in-a-short-term-world/id1845466003⁠⁠Subscribe on YouTube⁠⁠https://youtube.com/@excessreturns⁠

Brent Kochuba takes a look behind the scenes at the options flows driving the market heading into the December options expiration and the end of 2025. Subscribe on Spotify⁠https://open.spotify.com/show/4KR2YVJqk2lnVETMKDavJf⁠Subscribe on Apple Podcasts⁠https://podcasts.apple.com/us/podcast/the-opex-effect/id1711880009⁠Subscribe on YouTube⁠https://www.youtube.com/channel/UCPYvx_y92dvI1PSdiho0ALw

Ed Yardeni returns to Excess Returns to break down the evolving market landscape, why he moved the Magnificent 7 to underweight, and how AI, productivity, interest rates, global markets, and sector leadership will shape the next stage of the Roaring 2020s. Ed explains why the economy has remained so resilient, what could finally trigger a true market broadening, and how investors should think about everything from tech competition to inflation, private credit risks, and Fed policy heading into 2026.Main topics covered• Why Ed reduced the Magnificent 7 and tech from overweight to market weight• How extreme sector concentration affects portfolio construction• The escalating competition inside AI and large-cap tech• The AI CapEx boom and how it changes earnings, margins, and valuation• Valuation considerations for tech leaders at this stage of the cycle• Whether the Mag 7 should be compared to past tech bubbles• How AI adoption may spread to the broader economy and boost productivity• Economic impact of AI on jobs, wages, and long-term inflation• Why the US economy avoided recession despite persistent warnings• Rolling recessions vs traditional recessions and how they shape markets• Private credit risks and whether they pose a systemic threat• Prospects for small caps, mid caps, financials, industrials, and healthcare• Why 2026 may finally bring true market broadening• The outlook for international investing and emerging markets• Ed’s S&P 500 roadmap to 7,700 next year and 10,000 by 2029• Fed policy, rate cuts, inflation, bond vigilantes, and political pressure• Key risks investors should monitor heading into 2026Timestamps00:00 Mag 7 concentration and the case for rebalancing03:00 How Ed builds probability-based market scenarios04:30 Why the Roaring 2020s thesis still holds06:00 The no-show recession and economic resilience07:00 Why he moved the Mag 7 and tech to market weight09:30 How every company is becoming a technology company12:20 Knowing when a successful thesis has run its course13:30 The dominance of the US market and global diversification15:00 Why market weight, not overweight, for tech and the Mag 716:00 Tech competition, AI leapfrogging, and margin pressure18:30 The CapEx boom and valuation questions21:00 Comparing today’s tech leaders to the 2000 era23:00 How AI could lift productivity across the entire economy25:00 Putting AI in historical context27:00 How new technologies solve constraints like energy and compute29:00 AI’s long-term impact on productivity and growth30:00 Labor market disruption and job transition dynamics31:20 Will AI be deflationary over time?32:30 Technology, China, automation, and global deflation forces33:00 Ed’s forecast for the S&P 500 through 202935:00 Why recession indicators failed this cycle37:00 How liquidity facilities prevent credit crunches39:00 Private credit risks and transparency challenges40:45 The potential for market broadening in 202642:20 Takeaways from the latest Fed meeting44:00 Should the Fed be cutting rates?45:00 Fed independence under political pressure47:00 Why bond vigilantes may return in 202648:00 International investing opportunities and ETFs49:30 Closing thoughts and key risks ahead

In this episode of Excess Returns, we sit down with Andrew Beer to break down managed futures, hedge fund replication, diversification, and what investors can realistically expect from these alternative strategies. Andrew explains why managed futures can act like a “cloudy crystal ball,” how trend strategies capture major macro shifts, why complexity isn’t always your friend, and how advisors can communicate these concepts to clients. We also explore fees, model portfolios, allocation decisions, global macro themes, and what smart-money positioning looks like heading into 2025.Topics CoveredWhat managed futures actually are and how they workHow trend strategies capture big macro shiftsWhy diversification is most valuable during market stressWhy investors struggle with complexity and line-item riskThe statistical case for adding managed futures to a 60/40 portfolioBarriers to adoption and how advisors should explain the strategyThe role of model portfolios and why slow rebalancing can hurt in regime shiftsWhy Andrew prefers simplicity over complexity in managed futuresFee sensitivity, ETFs, and how this strategy goes mainstreamIndexing, replication, and building more efficient alternativesWhy manager selection is hard in this spaceThe “rush to complexity” and why it often hurts returnsHow hedge fund replication works and what it capturesWhat smart money is positioned for today across equities, rates, currencies, and commoditiesMacro themes: inflation, rate cycles, the dollar, yen, and global equity opportunitiesWhy international equities may finally be turningHow managed futures complement – not replace – stocks and bondsWhat mainstream adoption might look like over the next decadeTimestamps00:00 Intro and why managed futures matter02:00 Explaining managed futures in simple terms06:18 The four major asset classes trend funds trade10:00 Why trends form and how information reveals itself in prices11:55 Diversification and how managed futures improve portfolios14:00 Why investors haven’t widely adopted the strategy17:01 Communicating the “what,” not the “how,” with clients18:55 How model portfolios behave in regime change21:55 How managed futures can move faster than traditional allocations24:00 Why a simple portfolio of major markets works26:00 Making alternatives feel less risky28:00 Performance dispersion across managed futures ETFs30:00 Why complexity doesn’t equal value35:20 Fees, ETFs, and what mainstream adoption requires38:00 The real reason for the industry’s “rush to complexity”40:35 Should managed futures exclude equities and bonds?43:00 Why it’s so hard to handicap what will work in advance46:00 The human side of alternatives and advisor communication47:00 Hedge fund replication explained50:00 How replication identifies major themes52:00 Why replication works only in certain strategies53:10 What smart money positioning looks like today55:45 Inflation, rates, the dollar, and global opportunities58:00 The path to managed futures becoming a standard allocation59:22 Where to find Andrew Beer online

We are including this episode from our separate show Teach Me Like I'm Five in the Excess Returns feed. If you would like to continue receiving new episodes, subscribe using the links below.In the episode, we sit down with Business Breakdowns host Matt Reustle to discuss how he breaks down businesses and the common characteristics that the best businesses he has looked at share. Subscribe on Spotifyhttps://open.spotify.com/show/7zu6lFpPohoPKhcu0Er9kBSubscribe on Apple Podcastshttps://podcasts.apple.com/hr/podcast/teach-me-like-im-five-investing-concepts-made-simple/id1815975642

In this episode of Excess Returns, Graeme Forster of Orbis joins us to discuss two major research papers: Six Courageous Questions for 2026 and Sunrise on Venus. We explore how long-running global trends may be reversing, what that means for U.S. dominance, the future of international and emerging markets, the risks and opportunities created by AI and massive CapEx spending, the dollar’s shifting role, and how investors should think about valuation, humility, and navigating a world where the economic “water” is changing. This conversation is packed with global macro insight, long-term investing lessons, and practical frameworks for building more resilient portfolios. Topics Covered:• Why long-term market “water” becomes invisible to investors• Self-reinforcing global cycles and how China’s WTO entry reshaped the world• Signs the 25-year U.S. outperformance cycle may be breaking• How tariffs, political shifts, and corporate reforms change the global landscape• Why international and emerging markets may now offer better expected returns• Why U.S. large caps are not the entire story of American exceptionalism• How to think about valuation, margins, and discounted cash flow models across markets• The AI boom, bubbles, capital cycles, and asymmetric outcomes• How AI CapEx constraints influence winners and losers• The shifting role of the U.S. dollar and why market shocks may behave differently• Maslow’s hierarchy, needs vs. wants, and the return of state-driven capital investment• Deglobalization, reshoring, and the national-security lens for investing• How to evaluate China and Taiwan inside emerging markets• Why humility is an investor’s greatest edgeTimestamps:00:00 Introduction01:02 Why Orbis wrote Six Courageous Questions for 202603:44 The David Foster Wallace “water” analogy and investing06:12 How a 25-year self-reinforcing cycle powered U.S. outperformance10:12 Signs the cycle may be breaking12:00 Corporate reform and opportunity in Asia13:55 Why active share, benchmarking, and incentives distort investor behavior17:31 Decomposing S&P 500 returns: margins, valuations, fundamentals20:20 Expected returns inside and outside the U.S.22:34 Why international stocks offer richer opportunity sets24:25 Currency implications and weakening dollar dynamics26:18 American exceptionalism beyond the top 10 mega caps28:49 Where Orbis is finding value today30:25 Biotech, healthcare, and post-COVID dislocation31:05 How Orbis thinks about valuation in an intangible-heavy world32:09 Is AI a bubble or the beginning of something bigger?34:30 Game theory of AI CapEx and right-tail outcomes36:00 CapEx cycles, history, and who benefits38:00 Indirect AI beneficiaries and the SK Square example40:35 Maslow’s hierarchy and the shift from wants to needs42:32 Deglobalization, national security, and domestic reinvestment44:00 Capital returning to home markets and strategic industries46:00 Can anything reverse these structural trends?48:00 Balancing bottom-up investing with macro awareness49:45 The deeper risk in emerging markets: owning vs. avoiding51:00 Valuation still matters for long-term returns52:29 Corporate behavior, dividends, and re-rating cycles53:52 How Orbis views China vs. bottom-up opportunity55:34 Why great investors must be right 90–95% of the time in decision quality58:00 One lesson Graeme would teach the average investor

James Grant, legendary founder of Grant’s Interest Rate Observer, joins us for a wide-ranging conversation on cycles, interest rates, inflation, credit, the Federal Reserve, private markets, gold, and the future of investing. Grant brings five decades of historical perspective to today’s market extremes, explaining why this era of ultra-low interest rates created distortions that will shape returns for years to come — and where patient investors may ultimately find opportunity.Topics Covered• The historical patterns that define major market cycles• Why interest rate cycles unfold over generations• What the 2021 bond market top tells us about the next decade• How inflation behaves like an underground coal fire• The shift from “capitalism without capital” to the “tangible twenties”• Geopolitical tension, military spending, and inflation risk• The Fed’s role in shaping today’s market distortions• The long-term consequences of QE and financial repression• Private credit, opaque marks, and the fragility beneath the surface• Rising risks inside life insurance balance sheets• Why credit cycles always go further than anyone expects• The challenge of finding long opportunities in today’s market• Why liquidity and patience may be the biggest opportunities• Whether the classic 60/40 portfolio still works• Gold as money and why confidence in paper currencies is eroding• Jim Grant’s one lesson for the average investorTimestamps00:00 Cycle extremes and market absurdities01:00 Interest rates over generations07:00 Defining major tops and bottoms12:30 Where we are in the current rate cycle14:00 Inflation, armed conflict, and tangible investment18:00 The “tangible twenties” and data center boom19:00 Coal fire inflation analogy20:00 Fed independence, politics, and monetary power25:00 The long shadow of the 2008 crisis30:00 QE, zero rates, and long-term consequences33:00 Housing affordability and locked-in rates34:00 Risks in private credit and opaque marks36:00 How far the credit cycle has progressed38:00 Japan, value investing, and long cycles43:00 Where opportunities exist today47:00 The future of the 60/40 portfolio49:00 Structural risks from low-rate distortions51:00 Freedom, politics, and economic consequences56:00 Gold as money58:00 What Jim Grant believes most investors disagree with59:30 The one lesson Jim Grant would teach the average investor

In this episode, we’re joined again by Jim Paulsen to break down the key themes shaping markets and the economy heading into 2026. Jim explains why policymakers may be fighting the wrong battle, why real sustainable growth has quietly collapsed over the past 20 years, and how shifts in policy, demographics, productivity, inflation, and investor psychology all tie together. We also walk through Jim’s latest charts from Paulsen Perspectives and explore what they mean for stocks, sectors, interest rates, the dollar, and leadership in the year ahead.Topics covered in this episode:• The state of inflation and why CPI and PPI may be sending a very different message• The 20-year collapse in real sustainable GDP growth• Why job creation, labor force growth, and productivity have all structurally weakened• The rise in unemployment duration and what it signals about lost “animal spirits”• How demographics, immigration policy, and cultural shifts are shaping growth• Productivity puzzles: innovation vs. distraction in a tech-driven economy• Why the real economic risk may be deflation, not inflation• How monetary policy, the yield curve, the dollar, and fiscal policy have remained contractionary• Tariffs as a hidden tax and their real impact on inflation• How an easing cycle could reshape market leadership in 2026• Jim’s Total Policy Stimulus Index and what it reveals about small caps, cyclicals, value, and foreign stocks• The difference between today’s tech cycle and the dot-com bubble• What a broadening market might look like if policy finally turns supportive• How international equities could respond to a weaker dollar• Why tech may underperform without collapsing• Jim’s expectations for S&P 500 returns in 2026 and the potential for a more balanced leadership environmentTimestamps:00:00 Market setup and inflation overview02:00 Reviewing recent corrections and sector broadening04:00 Bond yields, easing expectations, and fear-based asset leadership06:00 Tech’s relative performance beginning to fade07:00 GDP growth collapse over two decades09:00 Structural slowdown in job creation10:30 Labor force growth and aging demographics12:00 The doubling of unemployment duration14:00 Population trends, immigration, and slowing productivity17:00 The rise of de-risking and falling monetary velocity19:00 Trade deficits, globalization, and policy contraction22:00 Why inflation risk may be overstated26:00 CPI/PPI data versus the inflation narrative29:00 Money supply, real rates, and the longest yield curve inversion31:00 The strong dollar as a contractionary force34:00 International stock performance and currency impact35:00 Tax burden relative to slower growth37:00 Tariffs as taxes and their real economic effect39:00 What would it take to restore growth and optimism?42:00 The Total Policy Stimulus Index explained47:00 Policy’s impact on equal-weight, small caps, cyclicals, and value52:00 How foreign stocks respond to policy and the dollar54:00 Tech valuations today vs. the dot-com era55:00 Fed response differences between now and 200057:00 Why today’s tech cycle is structurally different59:00 What 2026 might look like for the S&P 50001:01:00 Why price targets are inherently unreliable01:01:45 Closing thoughts and sign-off

In this special episode of Excess Returns, we share the most important investing lessons from more than 50 of our top guests. After asking more than 200 investors, strategists, academics, and market thinkers the same closing question about the one lesson they would teach the average investor, we compiled the most powerful, timeless, and repeatable insights into a single episode. This collection highlights common themes around patience, discipline, humility, diversification, risk management, and long-term thinking, while revealing how great investors navigate markets, behavior, and uncertainty.Main topics covered:Why investing is about preserving and growing wealth, not getting richWhy neither get in nor get out is an investing strategyThe role of base rates in decision-makingThe dangers of performance chasingWhy you should look at your portfolio less oftenThe importance of independent thinking and avoiding envyTreating stocks as businesses, not trading sardinesDiversification across assets, strategies, and economic regimesThe behavioral traps that destroy wealthLiquidity, supply and demand, and how markets really functionThe value of patience, long-term thinking, and sticking to your planHow to build a resilient portfolio that survives different market environmentsWhy simplicity often beats complexityThe role of humility, self-awareness, and keeping emotions out of investingTimestamps:00:00 Investing is about preserving and growing wealth00:45 Why neither get in nor get out is a strategy01:16 How we arrived at the one-lesson question02:00 Finding a portfolio you can live with03:00 Avoiding envy and chasing 10-baggers04:00 Why watching markets too closely hurts results05:00 The Matt Levine rule of unbelievable returns06:00 The power of base rates08:00 Look at your portfolio as little as possible10:00 Treat your holdings like real businesses12:00 Be invested early and think independently14:00 Be kind to yourself and keep taking action15:58 Do not chase performance17:00 Treat every position like you put it on today18:31 Your portfolio is secondary to your life19:44 Buy when others are fearful20:00 Be Rip Van Winkle, not Nostradamus22:00 Navigate the noise and avoid the siren song23:38 The value of simplicity and studying history24:59 Patience and tuning out the noise26:00 True diversification and preparing for unknown regimes27:50 Stick to a strategy that fits your personality29:00 Diversify and be humble about what you know30:00 Most results come from the market, not manager skill32:38 Keep investing simple34:00 Focus on what is knowable35:00 Believe in long-term economic and market resilience37:00 Get out of your own way38:22 Build a philosophy you can stick to39:00 Misjudging probabilities and confidence40:46 Book your gains and contain your losses41:00 Diversification is protection against bad luck42:00 Supply, demand, and liquidity always matter45:00 Markets as a political utility46:00 Find something real if you want true alpha47:00 Write down your decisions48:32 Why 100 percent indexing is unrealistic for most50:00 Alpha through portfolio structure, not just stock picking52:00 Dividends and long-run investing53:56 Valuation, time horizons, and patience55:00 Embracing uncertainty and avoiding pigeonholing56:33 Rules-based processes57:35 Buy good businesses, not just cheap ones59:00 Think long term and save early01:01:00 Focus on the basics first01:02:00 Avoid catastrophic losses01:03:22 Evidence-based investing and avoiding resulting01:04:09 Know what you own and keep fees low01:05:00 Simple strategies often work best01:06:00 Compounding and emotional control01:07:00 Treat savings as savings, not lottery tickets01:07:50 Balance enjoying today with protecting tomorrow01:08:00 Stay invested and think long term01:08:41 Be humble, patient, and systematic01:09:00 Do your own work and build conviction