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  • Ray Dalio on How He Built the Largest Hedge Fund in the World: The Holy Grail of 15 Uncorrelated Return Streams, Pain Plus Reflection, and a Bubble Gauge at 75% of 1929 Levels

    Ray Dalio, the 76-year-old founder of Bridgewater Associates, sat down with Sam Parr and Shaan Puri of the My First Million podcast for a wide-ranging conversation that compresses fifty years of investing, company building, and life philosophy into an hour. He tells the story of losing everything in 1982 and borrowing $4,000 from his dad, lays out the “holy grail” mantra that rebuilt Bridgewater into the largest hedge fund in the world, explains the personality test he gave to Elon Musk, Bill Gates, and Reed Hastings, and drops a genuinely newsworthy data point: his bubble gauge now reads about 75% of the way to where it stood in 1929 and 2000.

    TLDW

    Dalio recounts going broke in 1982 after wrongly predicting a depression, and the two lessons that built Bridgewater’s bottom: humility to balance audacity, and diversification into 15 good uncorrelated return streams (the “holy grail” that cuts roughly 80% of risk without cutting returns). He explains turning every decision into a backtested, timeless-and-universal rule programmed into computer code, the “pain plus reflection equals progress” formula, transcendental meditation as the bridge to the subconscious, and the shaper personality type shared by Musk, Gates, and Hastings. The conversation covers freedom money versus grand visions, hiring on values then abilities then skills, his caddying-to-Fortune-500-library origin story, the five big forces behind the changing world order, the mechanics of bubbles (wealth versus money), his correction of the rumor that his family office is 70% gold (he recommends 5 to 15%), why Bridgewater actually became the biggest (11.8% a year for roughly 31 years, uncorrelated, only about three losing years), and his definition of success: knowing your nature and finding the best path through it, with meaningful work and meaningful relationships as the payoff.

    Thoughts

    The most useful thing in this interview is not any single aphorism, it is the loop Dalio describes for manufacturing principles. Pain arrives involuntarily. Most people stop there, hung up in the pain. Dalio trained an instinct that reframes pain as a puzzle about how reality works, solves the puzzle into a written if-then rule, and then, and this is the step almost nobody copies, compiles the rule into computer code so it executes without him. Everyone journals. Dalio compiles. Thousands of principles accumulated over 35 years become a decision system that runs whether or not the human is having a good day. That is the actual moat, and it is why he keeps insisting the returns had nothing to do with charm.

    The holy grail math deserves more attention than it usually gets, because it is one of the few pieces of elite investing advice that survives contact with a normal portfolio. Fifteen good uncorrelated return streams cut about 80% of risk without reducing return, a roughly fivefold improvement in return-to-risk. Notice where it came from: not from a whiteboard, but from a public, humiliating failure. Dalio testified to Congress predicting a depression, was completely wrong, and had to fire everyone. Diversification, in his telling, is what humility looks like when it is expressed as portfolio construction. The upside-without-downside question is not greed, it is the engineering spec that follows from admitting you will be wrong a lot.

    The market call is the headline for 2026. His bubble gauge, built on measurable ingredients like wealth created relative to money, leverage behind purchases, and everybody-is-buying exuberance, sits at about 75% of its 1929 and 2000 readings. He is careful about what that does and does not mean: it predicts poor forward returns over some horizon, but it says nothing about timing, which depends on what pricks the bubble, typically tightening monetary policy or anything else that forces wealth to be converted into cash. He also flatly kills the viral claim that his family office is 70 to 75% in gold ETFs (“totally wrong”), recommending 5 to 15% instead. Watching a primary source correct his own media coverage in real time is a good reminder of how much investing content is a game of telephone.

    The through-line that fits this site’s obsessions is his definition of success: knowing your nature and finding the best path through it. Money, he says repeatedly, has no intrinsic value, so the only interesting question is what it is for. His own answer moved with the arc of life, from freedom money measured in months of runway, to the compulsive thrill of the game, to a final phase where passing along what he knows is the joy. The happiest detail in the whole conversation might be the ocean exploration ship he lends to scientists because a normal yacht would make him uncomfortable. That is what spending aligned with nature looks like, and it is a better personal finance lesson than any allocation percentage.

    One more thing worth flagging: his hiring order of values first, abilities second, skills last lands differently in the AI era than it did when he first said it. “Maybe programmers are no longer going to be the most important people” is a striking sentence from a man who built his fortune by turning his own judgment into code. Skills are depreciating assets now, and the half-life is shrinking. What survives is the ability to adapt and the values that decide what you point the adaptability at, which is exactly the ordering Dalio has used since he hired a door-to-door Bible salesman for his research shop.

    Key Takeaways

    • Dalio started Bridgewater in 1975. In 1981-82 he calculated that heavily indebted emerging countries could not pay their debts, Mexico defaulted in August 1982, he testified to Congress predicting economic disaster, and he could not have been more wrong. He lost his own money and his clients’ money, laid off everyone, and borrowed $4,000 from his dad.
    • That bottom taught him two things: humility to balance his audacity, and how to diversify bets to substantially reduce risk without reducing returns.
    • The holy grail of investing: find 15 good uncorrelated return streams. The math says that gets rid of about 80% of your risk without reducing return, improving the return-to-risk ratio by roughly a factor of five.
    • The most common mistake smart people make in investing: they do not have a game plan.
    • His game plan method: every time he made a decision, he studied how that decision would have worked in the past, wrote it as a decision rule, and programmed it into the computer so it could be applied everywhere in the world with a known track record. Rules had to be timeless and universal.
    • The choice after going broke was a jungle metaphor: stay safe with a regular job, or cross a jungle full of things that can kill you to get the great life on the other side. He chose the jungle, with people who see things differently than he does, and then loved the jungle so much he never wanted to leave it.
    • His early financial goals were two simple levels: pay for the basics (public school was fine), then freedom money. He tracked how many months, then years, of runway he could afford if everything shut down. The number was modest, well under a million dollars.
    • He created personality tests (starting from Myers-Briggs) and gave them to Elon Musk, Bill Gates, Reed Hastings, and Muhammad Yunus. A rare type he calls the “shaper” loves going from visualization to actualization. It is his own type, and Musk’s.
    • The Elon Musk story: after making roughly $180 million from PayPal, Musk committed half of it to going to Mars with no aerospace experience. Dalio advised him to set aside a safety cushion. Musk said no, I don’t need to do that.
    • Shapers operate at the 10,000-foot level and the 10-centimeter level at once. Musk went from Mars vision to the details of a watering can with a plant on a rocket, to put “first life on Mars.”
    • The free PrinciplesYou test is online, including a feature where someone you have a relationship with takes it and it tells you about the relationship. Shaan took it expecting shaper and got explorer, which he admitted nailed him.
    • Success in life, per Dalio: knowing your nature and finding the right path for your nature, because you cannot fight against your nature.
    • People who think differently from you, who you ordinarily get annoyed at, are your paths to success. At Bridgewater, personality typing turned mutual annoyance into people understanding how to work together.
    • The success formula he wants people to hear: a shared mission, meaningful work and meaningful relationships, radical truthfulness and radical transparency, knowing your nature, and knowing how to work with others.
    • Pain plus reflection equals progress. Pain arrives involuntarily; reflection is the part people skip, which leaves them hung up in their pain.
    • He has practiced transcendental meditation since 1969: repeating a meaningless mantra crowds out thought and drops you into the subconscious, which is both calming and where creativity comes from (the hot shower effect).
    • His trained instinct treats pain as a puzzle: what does this tell me about how reality works, and what is my principle for dealing with it? Solving the puzzle yields a “gem,” a principle you carry forward.
    • He does not journal on a schedule. Reflections get written down when they come, as cause-effect if-this-then-that principles, then converted into computer code. Over about 35 years that became thousands of principles and computerized decision-making systems for markets and almost everything else. He has also published a guided journal so others can write their own.
    • Hard times test priorities. He wanted survival, opportunity, and the game, and did not care about convention or how he looked to the outside world.
    • People get stuck because they do not realize there are multiple possibilities. If you are clever, there are many ways to have a really happy life, and a lot of money is not an important ingredient.
    • There is no correlation between happiness and the amount of money you make. Money has no intrinsic value, so you must answer: what do you want to do with the money that is so important? Does it get you better friends, a better marriage, a better relationship with your kids?
    • His goals do not change yearly because his nature does not change. His phase of life changes. At 76 he feels compelled to pass along everything of value, and that is his current joy. Life has an arc, almost like a script.
    • Hiring: most people rank skills first because skills are on the resume. Dalio ranks values first, then abilities, then skills, because abilities let you change your skills, and skills go stale (“maybe programmers are no longer going to be the most important people”).
    • He once hired a door-to-door Bible salesman who knew little about finance but was curious. Most of everything is in the discovery, not in remembering the rules.
    • Talent is more important than money. Money hunts for talent: nobody made money finding Elon Musk’s capital, they made it by finding Elon Musk.
    • Origin story: a C student who did not like high school, he caddied at $6 a bag, put his caddying money into the only company he had heard of selling under $5 a share, and tripled his money when the near-bankrupt company was acquired. “I like this game.” Then he learned the game is not easy, and got hooked anyway.
    • As a kid he mailed in the tear sheets from the Fortune 500 issue to request every annual report, building a personal library of company filings.
    • Learning before puberty goes in deep, like a language or a sport. Finding your passion early, as he did and Buffett did, compounds.
    • On late bloomers: the range is huge. Ray Kroc was in his mid-50s at McDonald’s. What the winners share is drive, not a timeline.
    • Sam Parr reverse-engineered his heroes’ timelines into a target of $20 million by age 30 and hit it at 31. Dalio’s response: publish the spreadsheet, and note the wide range around the median.
    • Dalio remains instinctively frugal: reluctant to fly private, no expensive watches, inexpensive suits. But spending is a skill, and he spends on what he loves: an ocean exploration ship he gives to scientists, a passion traced to watching Jacques Cousteau and now shared with his filmmaker son.
    • He holds no beliefs that are “just beliefs,” only probability-weighted ones. On aliens: the enormity of 100 billion galaxies argues for life elsewhere, but he has not studied it, so he holds the view loosely.
    • Five big forces drive the changing world order: the debt-money-economic cycle, internal political conflict from wealth and values gaps, the geopolitical order, acts of nature (droughts, floods, pandemics have killed more people than wars), and human inventiveness, especially new technologies.
    • The post-1945 multilateral order (United Nations, World Health Organization, World Trade Organization) is, in his words, out of the picture. Without a court to resolve differences, you get conflict.
    • Bubble mechanics: wealth and money are different things. Wealth can be conjured (a $50 million raise at a billion-dollar valuation mints a paper billionaire), but you can only spend money, so when wealth holders suddenly need cash, they sell, and the bubble pricks. The trigger is typically tightening monetary policy, and could also be a wealth tax.
    • His bubble gauge, measured across countries back to about 1900, currently reads about 75% of the way to the 2000 and 1929 peaks. Japan 1990 went even higher. It predicts poor forward returns over 3 to 10 years but says nothing about timing.
    • Believing a technology will be revolutionary is not the same as the stock being a good buy. Even the most successful companies fell 80% in past bubbles. There is a Google, and there is a Yahoo.
    • The 70-75% gold rumor about his family office is “totally wrong.” He recommends 5 to 15% of a portfolio in gold as one of the uncorrelated streams, overweighted tactically when there is a debt crisis and the government is flooding the system with money.
    • Cash is not safe. It is the surest asset to do poorly over the longest period of time. Build a strategic asset allocation mix (your best balanced portfolio if you have no opinions), then make tactical bets relative to it.
    • Bridgewater became the largest hedge fund before anyone knew Dalio’s name, on roughly 11.8% a year for about 31 years, a worst year of about minus 13% (COVID), only about three losing years, and returns uncorrelated with any market. Lose 50% and you need 100% to get back; avoiding the big drawdown is the compounding engine.
    • The Principles PDF was downloaded 3 million times after Bridgewater’s “cult” reputation made him publish the culture: an idea meritocracy built on radical truthfulness and radical transparency.
    • His heroes: Paul Volcker, Lee Kuan Yew, and people who sacrifice for others. The golden rule and karma are, to him, practical rather than idealistic: a little consideration costs little and makes a world of difference in both directions.
    • The one thing to remember: know what you want, understand it is a journey of having your nature, running into your mistakes, and learning from them. Then it is all about meaningful work and meaningful relationships.

    Detailed Summary

    Going Broke in 1982 Built the Bottom Bridgewater Rose From

    Dalio opens with the story he calls the most important of his life. He founded Bridgewater in 1975, and by 1981-82 had calculated that emerging countries carrying heavy debt would default. Mexico did default in August 1982, he was invited to testify before Congress, and he predicted economic disaster. Instead the economy boomed and markets rallied. He lost money for himself and his clients, laid off his five employees, and was so broke he borrowed $4,000 from his father. The choice that followed, put on a suit and work for somebody else or keep going, “changed everything.” The two lessons: humility to balance audacity (he wanted people to kick the hell out of his ideas from then on), and diversification that reduces downside without surrendering upside. That reframing, how do I have the upside without the downside, became the foundation of everything Bridgewater later built.

    The Holy Grail: 15 Uncorrelated Return Streams

    Asked for his mantra, Dalio literally picks up a pen: find 15 good uncorrelated return streams. He derived the number from the marginal benefits of diversification at different correlation levels, a chart he still keeps as a reminder. At around 15 genuinely uncorrelated streams, roughly 80% of risk disappears without any reduction in expected return, which multiplies the return-to-risk ratio by about five. This is the closest thing to a free lunch in investing, and it is the direct, mechanical answer to the upside-without-downside question that his 1982 failure forced him to ask.

    Turning Decisions Into Rules, and Rules Into Code

    The most common investing mistake, in his view, is operating without a game plan. His fix was procedural: every time he made a decision, he went back and studied how that decision would have performed historically, wrote down the criterion, and programmed it into a computer. Then he could ask the machine to find that setup anywhere in the world, with a known track record, and assemble collections of such rules that were uncorrelated with one another. Rules had to be timeless and universal: if a rule failed in some historical period, he needed to understand why before trusting it. This is how the personal habit of reflection scaled into Bridgewater’s computerized decision-making systems, and it is why he insists the fund’s success was explainable process, not charisma.

    The Jungle, Freedom Money, and What the Money Is For

    With zero revenue and young kids, Dalio describes the choice as standing at the edge of a jungle: safety on the outside, everything he wanted on the far side, and plenty of things in between that could kill him. He went in, deliberately with people who see things differently, because together you can spot the animals. He then loved the jungle so much he did not want out even after succeeding (“you’d rather be in the jungle than the zoo”). His money goals were unglamorous: cover the basics, then bank freedom. He counted runway in months and then years of survivable shutdown. The number that meant freedom was, by his account, easy to achieve and far less than a million dollars at the time. The $20 billion came later, not from chasing a number but from playing a game he loved that happens to pay well if you play it well. Pressed on purpose, he flips the interrogation: money has no intrinsic value, so what do you want to do with it that is so important? You better answer that question.

    Shapers: Testing Elon Musk, Bill Gates, and Reed Hastings

    When Dalio decided to hand off Bridgewater’s leadership and return to pure investing, he built personality tests, starting from Myers-Briggs, and administered them to Elon Musk, Bill Gates, Reed Hastings, Muhammad Yunus, and others. A small slice of the population, which he calls shapers, love going from visualization to actualization. It is his own type. His Musk story: fresh off roughly $180 million from PayPal, Musk committed half to Mars with no aerospace experience. Dalio suggested setting aside a cushion in case it failed. Musk declined; he did not need a house, security, or even Dalio’s level of needing. Shapers also telescope between the 10,000-foot vision and 10-centimeter details, as when Musk enthused about sending a watering can with a plant on a rocket to claim first life on Mars. The tests are free online as PrinciplesYou, including a relationship feature. Shaan took it hoping for shaper and got explorer, driven by curiosity and new experiences, which he conceded was dead-on, including his indifference to details.

    Opposites as the Path to Success

    The hosts offer their own evidence: a business partner who emailed Dalio’s team 77 times over four years to land this interview, an amazing connector and supporter to whom the connection itself is the win, and a six-year podcast partnership between two people who could not be more different. Dalio pauses on it as a core success principle: the people who think differently from you, who you ordinarily get annoyed at, are your paths to success. At Bridgewater, once personality test results circulated, colleagues stopped being annoyed by each other’s types and started understanding how to work together. His compact formula: success comes from failure plus learning, and from meaningful work and meaningful relationships pursued with radical transparency by people who know their own natures.

    Pain Plus Reflection, Meditation, and the Principle-Making Habit

    Asked how reflection actually works, Dalio explains that pain comes involuntarily, and people can skip the reflection and stay hung up in the pain. Transcendental meditation, which he has practiced since 1969, is his transition tool: repeating a meaningless mantra blocks thought until the mantra itself falls away and you settle into the subconscious, the seat of emotions and the source of hot-shower creativity that cannot be muscled into existence. On top of that sits a trained habit: pain triggers the instinct “that is a lesson in reality.” The puzzle becomes how reality works and what principle best deals with it, and solving it yields a gem. He does not journal on a schedule; he writes principles when circumstances surface them, as cause-effect rules, and then encodes them. Thousands of principles over 35 years cover everything from what to do if the Fed tightens to what to do if somebody you love dies. He has published a guided journal for people who want to build their own.

    Values, Abilities, Skills: How Dalio Hires

    The Bible-salesman anecdote anchors his hiring philosophy. The man knew little about research or finance, but he was curious. Dalio’s ranking runs opposite to the resume: values first, because they define the relationship and the shared dream; abilities second, because abilities let you re-skill as the world changes; skills last, because they expire. He points at the present: programmers may soon no longer be the most important people, after a generation of parents insisting on code. The future is in discovery, not in memorizing rules, and talent identification matters more than capital, because money is always hunting for talent. Nobody got rich funding Elon Musk’s bank account; they got rich finding Elon Musk.

    From Caddy to the Fortune 500 Library

    Young Dalio was a C student on academic probation at C.W. Post who loved one thing: markets. Caddying at $6 a bag in an era when even barbers talked stocks, he put his earnings into the only company he had heard of trading under $5 a share, on the naive theory that more shares meant more money. The nearly bankrupt company was acquired, the stock tripled, and he concluded “I like this game.” He then learned, and says he still knows, that the game is not easy, but he was hooked. With no peers doing the same, he built his own curriculum by mailing in the Fortune 500 tear sheets to request every company’s annual report, assembling a personal library. He notes that what you learn before puberty goes in deep, and that finding a consuming interest young, as Buffett did (Sam references reading The Snowball), is a form of luck. Unlike Buffett’s pinball-and-racetrack hustles, Dalio’s only side racket was feeling golf balls out of the pond with his feet and reselling them. On timelines, he pushes back on the late-bloomer framing: the range is enormous, Ray Kroc was in his mid-50s, and the common denominator is drive, not a schedule.

    The Five Big Forces and the Changing World Order

    Dalio rejects the split between philosophy and finance: as a global macro investor, they are the same subject. Because he had never seen certain events in his lifetime, he studied the last 500 years and found recurring cycles in which monetary, political, and geopolitical orders break down for the same reasons, the argument of his book Principles for Dealing with the Changing World Order. Five measurable forces interact: the debt-money-economic force, where debt service squeezes spending like plaque in a circulatory system until restructuring; internal political conflict, where widening wealth and values gaps produce irreconcilable differences and threaten democracy; the geopolitical order, where the 1945 American-led multilateral system (UN, WHO, WTO) has effectively left the picture, and without a court, differences get resolved by fighting; acts of nature, since droughts, floods, and pandemics have historically killed more people than wars; and human inventiveness, the persistent upward force that raises life expectancy and productivity. News lasts a minute; the point is putting the news in the context of where these five forces stand.

    The Bubble Gauge at 75%, Gold, and the Mechanics of Bubbles

    Sam asks about the rumor that Dalio’s family office holds 70 to 75% in gold ETFs: “Totally wrong.” His actual guidance is 5 to 15% of a portfolio in gold as an uncorrelated stream, overweighted tactically when a debt crisis has the government flooding the system with money. The larger framework: build a strategic asset allocation mix, the best balanced portfolio you can hold with no opinions, and it will not be cash, which people mistake for safe when it is the surest to underperform over long periods. Then he walks through bubble mechanics. Wealth and money are different: paper wealth can be minted by a small raise at a big valuation, but only money can be spent, so when wealth must convert to cash, prices break. Bubbles form around genuinely exciting new technologies, funded with borrowed money, when buying becomes the rage, and believing in the technology is not the same as the stock paying off; in past bubbles even the best companies fell 80%, and for every Google there is a Yahoo. His bubble gauge, running across countries back to about 1900, currently reads about 75% of the way to its 2000 and 1929 readings (Japan 1990 exceeded both). That predicts poor returns on a 3-to-10-year horizon but not timing; timing comes from the prick, typically tightening monetary policy, or anything like a wealth tax that forces wealth into cash. He adds, carefully, that he does not want people trading on this; the point is that everything has mechanics.

    Why Bridgewater Actually Became the Biggest

    Was it performance or marketing? Dalio’s answer: Bridgewater most consistently made excellent returns with minimal risk, uncorrelated with any market, about 11.8% a year for roughly 31 years under his management, with only around three losing years, the worst about minus 13% in the COVID year. Because a 50% loss requires a 100% gain to recover, never taking the big drawdown was the compounding engine. He became the largest before anyone knew his name and was actively trying to stay below the radar. Fame arrived only when the fund’s size and its culture, perceived from outside as a cult, pushed him to publish the Principles document explaining the idea meritocracy of radical truthfulness and radical transparency. It was downloaded 3 million times and became the book Principles. Clients stayed because the process was explainable, backtested, and logical, and because Bridgewater taught them as partners rather than selling them a black box.

    Etched in Stone: Heroes, the Golden Rule, and the One Takeaway

    Shaan describes visiting Rockefeller Center and reading John D. Rockefeller Jr.’s credo carved in stone, “I believe in the sacredness of a promise, that a man’s word should be as good as his bond.” Dalio seizes on it: we are short of shared principles the way we are short of heroes. Everybody should write down their principles, have the hell kicked out of them, and be judged by whether they live by them. His own heroes include Paul Volcker and Lee Kuan Yew, and more broadly anyone who sacrifices for others. Across all religions he finds one commonality, the golden rule or karma, and he frames it as practical rather than idealistic: it costs little to help each other and it compounds, while selfishness and fighting are mutually destructive. The question for humanity is whether we can rise above ourselves. Asked for the single takeaway, he answers: know what you want, understand that the journey is your nature running into your mistakes and learning from them, and remember it is all about meaningful work and meaningful relationships. If you have work you love and relationships you love, you are probably going to have a great life.

    Notable Quotes

    “Here’s the mantra for investing. This is the holy grail of investing. Find 15 good uncorrelated return streams.”

    Ray Dalio, delivering the core lesson of the entire conversation

    “If you can get out to 15, you can reduce about 80% of your risk without reducing your return. That means that you increase your return to risk ratio by something like a factor of five.”

    Ray Dalio, on the math behind the holy grail

    “First of all, I learned humility to balance my audacity.”

    Ray Dalio, on what going broke in 1982 taught him

    “Pain plus reflection equals progress.”

    Ray Dalio, on the formula that turned his failures into principles

    “Success is you knowing your nature and then finding the best path through that nature.”

    Ray Dalio, giving his definition of success

    “Money doesn’t have any intrinsic value, right? So, you have to have a purpose. Why are you getting the money? What do you want to do with the money that is so important? You better answer that question.”

    Ray Dalio, pushing back on “making it to the top”

    “Cash always is the worst performing over a period of time. People think it’s the safest. It’s the surest to do poorly over the longest period of time.”

    Ray Dalio, on why a balanced portfolio beats sitting in cash

    “The bubble gauge is saying it’s about 75% toward where it was both in 2000 and 1929. So, it’s pretty high up there.”

    Ray Dalio, on where his bubble indicator stands today

    “It became the biggest hedge fund because we most consistently made excellent returns with minimal risk and we were uncorrelated with the stock market or any other market.”

    Ray Dalio, answering whether Bridgewater’s size came from performance or marketing

    “If you have work that you love and you’ve got relationships that you love, you’re probably going to have a great life.”

    Ray Dalio, closing the conversation with the one thing to remember

    Watch the full conversation with Ray Dalio on YouTube here.

    Related Reading

    • Principles.com Ray Dalio’s official site, home of the free principles resources he references throughout the interview.
    • PrinciplesYou the free personality assessment Dalio built and gave to Elon Musk, Bill Gates, and Reed Hastings, including the relationship comparison feature.
    • Bridgewater Associates (Wikipedia) background on the firm’s history, the All Weather strategy, and the idea meritocracy culture.
    • Transcendental Meditation (Wikipedia) the mantra-based practice Dalio has used since 1969 as his bridge between pain and reflection.
    • Purpose our pillar page on the question Dalio keeps asking: what is the money for, and what do you actually want?

  • Howard Marks on AI Investing, Second-Level Thinking, Warren Buffett, and Why Waiting Until You Feel Safe Means the Opportunity Has Passed

    Howard Marks, co-founder of Oaktree Capital and author of the investing memos Warren Buffett says he reads first, returned to the My First Million podcast for a wide-ranging conversation with Shaan Puri and Sam Parr. Marks explains why he rewrote his AI memo after his son pushed back, what AI can and cannot take from professional investors, how Oaktree deployed $450 million a week while the world thought finance was ending, and why the sentence “I’m 100% convinced” is the most dangerous one in markets. Along the way he covers his 39-year partnership with Bruce Karsh, personal stories about Warren Buffett and Charlie Munger, parenting, career choice, and the two books that shaped his thinking.

    TLDW

    Marks updated his AI memo because his VC son Andrew told him too much had changed, and he now sees AI as unprecedented on two axes: autonomy (every prior technology was a tool; AI can be given a job and figure out how to do it) and unpredictability (he never felt the internet was beyond comprehension, but nobody knows the shape of an AI future). He expects AI to “defrock” mediocre active investors the way indexation did, while insight, judgment about people, and decisions with no historical precedent may remain human. He retells the Lehman Brothers moment: Oaktree raised an $11 billion distressed debt fund before the crisis, then invested $7 billion in a single quarter on the logic that if the world melted down nothing would matter, but if it did not and they had failed to invest, they had failed at their jobs. The through-line is acting despite fear: the battle hero is afraid and does it anyway, and if you wait until there is nothing to be afraid of, the opportunity has passed. He closes with the recipe for his partnership with Bruce Karsh (shared values, complementary skills, appreciation), stories about Buffett and Munger, advice to live your life your own way, and book recommendations: A Short History of Financial Euphoria and Fooled by Randomness.

    Thoughts

    The most valuable thing in this conversation is not any single call, it is watching a 79-year-old investor with five decades of pattern recognition publicly change his mind. Marks wrote an AI memo in December, his son told him in February that it was already stale, and he rewrote it entirely. When the host teases him that he sounds “a little seduced,” Marks does not get defensive. He distinguishes between upgrading an opinion on new evidence and getting emotional about an asset. That distinction is the whole game. Most people treat their published positions as identity; Marks treats his as drafts. The irony he would appreciate: the willingness to say “so much has happened, I have to update” is exactly the behavior that made his original reputation, and it is exactly what the “I’m 100% convinced” crowd cannot do.

    His AI framing is sharper than most full-time commentators manage. Every previous technology, from the railroad to the internet, was a tool that made humans faster. AI is the first with autonomy: you give it a job, not instructions. And it is the first innovation he has ever called genuinely unpredictable. Notice what that combination does to his old computer framework. Computers could only read, remember, add, subtract, and compare, a limited list that still beat most people. The question that decides everything, for investing and beyond, is whether AI’s list is limited or unlimited. Marks does not pretend to know, which is precisely why his answer is credible.

    The Lehman story deserves to be studied as decision-making under true uncertainty, not as a war story. There was no data and no historical analogy for the end of the financial system, only supposition. So Oaktree reframed the decision as an asymmetry: if the world melts down and we invest, it does not matter; if the world survives and we did not invest, we failed. That logic is available to anyone. What is not available to most people is the willingness to act on it while feeling terrible, and Marks is emphatic that he felt terrible. He read the same newspapers as everyone else. The lesson is that trepidation is not a signal to wait; it is the price of admission. Confidence is not the tell of a good decision. Structure is.

    The quietest and maybe most transferable idea here is the credibility flywheel. After a fund did well, Oaktree raised a smaller fund next, because great results meant assets had appreciated and the opportunity had shrunk. That is speaking against your own economic interest, repeatedly, for twenty years. The payoff came when they asked for $11 billion before the crisis and investors believed them, because Howard and Bruce do not cry wolf. Most people optimize each individual transaction and wonder why nobody trusts them at the moment trust matters. And it is not a coincidence that his partnership advice (shared values, complementary skills, appreciation), his parenting advice (let your kid be smarter than you, let them make choices), and his fundraising record all reduce to the same move: give up small ego wins now to compound trust for decades.

    Key Takeaways

    • Marks wrote his first AI memo around December 9th, then rewrote it entirely in early February after his son Andrew, a venture capitalist working with AI companies daily, told him too much had changed. Updating on new facts is a feature of good thinking, not a flip-flop.
    • He upgraded his opinion of AI because of qualities he considers unprecedented: it can discuss its own strengths and weaknesses, use humor, and put information in the context of the specific person it is talking to.
    • AI’s first unprecedented quality is autonomy. Every prior technological innovation, from the railroad to computers to the internet, was a tool to increase productivity. Nothing before could be given a job without being told how to do it.
    • AI’s second unprecedented quality is unpredictability. Marks never felt the internet was beyond comprehension or prediction. With AI, he says nobody knows the shape of the future, a feeling he has never had about any prior technology.
    • Indexation exposed that most active equity investors could not do what they claimed and pushed many out of the business. Marks expects AI to “defrock” another group of professionals whose talents are not as great as they purport.
    • His old framework for computers: they could only read, remember, add, subtract, and compare, but they did it with more data, faster, and without arithmetic or emotional mistakes, so the limited list still beat most people. The big question for AI is whether its list is limited or unlimited.
    • A large share of what AI does is knowing history and extrapolating patterns. There will always be events with no history to train on, and some people simply understand the probability distribution of future events better. That may be where human investors survive.
    • Part of Oaktree’s value has been refusing to invest with bad people based on undefinable signals, the “hair on the back of your neck” test. If AI has no hair on its neck, experienced judgment keeps a role.
    • Second-level thinking, the opening chapter of his first book, says that if you do not see anything different from everybody else, you cannot possibly be superior. You need a variant perception, you have to bet on it, and you have to be right.
    • Asked whether second-level thinking can be taught, Marks says probably not. He can teach its importance, but not how to have perceptions that are both at odds with consensus and correct. In basketball you cannot coach height; in investing there is something called insight, and some people have it.
    • He is genuinely unsure whether AGI, defined as AI doing everything a human can do, will arrive. Whether there are things AI will never do “even when it reaches full flower” is one of the central mysteries.
    • Before the 2008 crisis, the largest distressed debt fund in history had been Oaktree’s own $2.5 billion fund from 2002. In 2007-08 they raised $11 billion because they saw distress coming, and kept it on the shelf for deployment when the stuff hit the fan.
    • When Lehman went under in September 2008, there was no data and no prior experience for the end of the financial world, only supposition, borrowing the Harvard epidemiologist’s three bases for decisions: data, analogies to past experience, and supposition.
    • The deployment logic was an asymmetry: if the financial world melts down and we invest, it does not matter; if it does not melt down and we failed to invest, we did not do our job. So they had to invest.
    • Bruce Karsh invested an average of $450 million a week for 15 weeks, roughly $7 billion in a single quarter, buying debt of private-equity-owned companies at prices where Oaktree would break even if the companies were worth a fifth or a fourth of what buyers had paid a few years earlier.
    • They were “absolutely not confident.” Marks argues people who think probabilistically and admit ignorance and uncertainty cannot act without trepidation, and that acting anyway is the job.
    • His memo “Taking the Temperature” reviews the five major macro calls of his career; every one was made with doubt. Markets crash because the news is terrible, and he reads the same terrible news as everyone else, then overcomes it.
    • The battle hero framing: a hero is not someone who is unafraid, but someone who is afraid and does it anyway. If you are running into a hail of bullets without fear, something is wrong with you.
    • The signature line: if you wait until you have nothing to be afraid about, the opportunity has probably passed.
    • Raising $11 billion rested on a reservoir of goodwill built since 1988, a strategy purpose-built for crisis with proven results in 1991 and 2001-02, the pitch that a crisis fund hedges portfolios positioned for prosperity, and the ability to point at specific flaws: the market was failing at its main job of acting as a disciplinarian and saying no to dumb ideas.
    • From the Spy Game movie: when did Noah build the ark? Before the flood. You cannot raise money during a crisis because the news is too terrible, so you build the ark in advance.
    • Oaktree’s contrarian fund sizing built its credibility: after a fund produced great results, the next fund was smaller, because great results meant assets had appreciated and opportunities had shrunk. Most managers raise bigger funds on the back of good numbers. Twenty years of that earned them trust when it counted, and sometimes you have to speak against your own interest.
    • During the 1998 LTCM meltdown, a young portfolio manager told Marks “I think this is it, we’re melting down.” Marks heard him out, then said: now go back to your desk and do your job.
    • He and Bruce Karsh have been partners for 39 years and have never had a fight, partly because neither is a financial maximizer and most fights are about money. They have intellectual disagreements, not fights.
    • The keys to partnership, from his 2002 memo: shared values and complementary skills. One aggressive partner and one timid one, or one ethical partner and one corner-cutter, cannot last.
    • The cowboys-and-chickens story: of the roughly 40 investment banks on the AT&T tombstone ad, almost all eventually disappeared. In bad times the chickens say the cowboys are getting us killed; in good times the cowboys say the chickens are holding us back. Mismatched values kill firms.
    • Complementary skills mean each partner can do things the other cannot, so both are additive. If one partner can do everything, the other is eventually seen as overpaid. Bruce manages the money; Howard goes on the road and does the podcasts. The third element: be appreciative, and thank your lucky stars your partner does the things you do not want to do.
    • On parenting: a Wall Street psychiatrist observed that his patients’ problems were inversely proportional to the support they got from their fathers. Marks finds it terrible how many successful men need to assert superiority over their sons, and says he always let Andrew be smarter than him in some things.
    • When his daughter had to choose between two good schools, he and his wife let her decide, on the logic that neither option was bad and kids need experience making choices, including incorrect ones.
    • His favorite quote, from Christopher Morley: there is only one success, to live your life your own way. You cannot let friends, parents, or society decide what you should do. Find something that plays to your strengths, avoids your weaknesses, and makes you happy, while knowing that in 20 years you will be a different person.
    • By his own account, Marks made his early career decisions unconsciously and haphazardly until about age 49-50, when he left to start Oaktree in 1995. He landed in high yield bonds because a boss called him in 1978 about “a guy named Milken in California,” and if that call had come at lunchtime, someone else would have gotten the career.
    • The Mark Twain rule: it ain’t what you don’t know that gets you into trouble, it’s what you know for certain that just ain’t true. No sentence starting with “I could be wrong, but” ever hurt anyone; the dangerous sentence is “I’m 100% convinced.” If you bet like you are 100% right and it was really 80/20 and the 20 comes up, that is how you get into big trouble.
    • The Buffett relationship began with Enron’s collapse: Oaktree was the largest holder of the debt of off-balance-sheet entity Osprey, Buffett was second largest, and Buffett gave Oaktree his proxy to run the position. Bruce’s masterful restructuring led to a thank-you letter, a lunch in Omaha, and a friendship.
    • Buffett is the reason the first book exists: in 2009 he told Marks “you should write a book, and if you do, I’ll give you a blurb.” Marks had planned to write one in retirement, but you cannot let a note like that sit. The result was The Most Important Thing.
    • What people do not know about Buffett: the depth of his love for Charlie Munger. Buffett’s farewell note described Charlie as the big brother and himself as the little brother, and their relationship was suffused with humor. Marks says the same dynamic describes him and Bruce.
    • Munger’s greatest credited contribution was talking Buffett out of cigar butt investing (picking up discarded companies with three free puffs left) and convincing him to buy great companies at a good price instead of any company at a great price.
    • Buffett and Munger probably had the highest combined IQ of any partnership in history, but different kinds: Munger a classicist, humanist, and man of letters who talked about ideas rather than money; Buffett an incredible computing machine.
    • Book recommendations: A Short History of Financial Euphoria by John Kenneth Galbraith, on the mental weakness that gives rise to booms and busts, and Fooled by Randomness by Nassim Nicholas Taleb, on why in the short run anything can happen, which shapes attitudes toward risk, portfolio construction, and whether a great published track record means skill or luck.

    Detailed Summary

    Changing His Mind on AI

    The conversation opens with the story behind Marks’s updated AI memo. He wrote the first version around December 9th. In early February his son Andrew, a venture capitalist whose portfolio companies use and build AI, told him: “Dad, so much has happened. You have to update the memo.” Marks rewrote it entirely. When the hosts needle him that the sequel sounds “a little seduced,” he pushes back on the framing: he upgraded his opinion because of observable capabilities, including AI’s ability to discuss its own strengths and weaknesses, use humor, and contextualize information to the specific person using it. He identifies two qualities he considers historically unprecedented. First, autonomy: everything from the railroad to the internet was a tool to speed humans up, while AI can be handed a job without being told how to do it, which is also the source of the nagging concern that it may take over. Second, unpredictability: he never once thought the internet was beyond comprehension or prediction, but with AI he says nobody knows the shape of the future.

    What AI Does to Investors

    Asked whether AI will be able to do what he does, Marks reaches for the indexation precedent: index funds revealed that most active equity managers could not do what they claimed, and pushed many out of the business. AI, he says, will “defrock another group of people whose talents are not as great as they purport.” He recalls his old line about computers, which could only read, remember, add, subtract, and compare, yet still beat most people because they did those five things with more data, faster, and without arithmetic or emotional errors. The decisive question for AI is whether its list of capabilities is limited or unlimited, and he admits he does not know. The hosts note that Buffett reading the Moody’s manual page by page is now a task AI does in a heartbeat. What might remain human: events with no history to train on, since so much of AI is pattern recognition over history; superior intuition about the probability distribution of future events; and people judgment, the undefinable signal when the hair on the back of your neck goes up about someone. If AI has no hair on its neck, experienced investors with judgment keep a role.

    Second-Level Thinking and the Limits of Teaching Insight

    Marks retells the origin of his first book: Columbia asked for a sample chapter, he sat down and wrote one he had never consciously thought about, and it became chapter one, on second-level thinking. The idea: if you do not see anything different from everybody else, you cannot possibly be superior. You need a variant perception, a belief that consensus overstates or understates a company’s quality, growth, earning power, or deserved multiple; you must bet on that perception; and you must be right. Can it be taught? He says the answer is more no than yes. He can teach the importance of second-level thinking, but not how to have perceptions that are both contrarian and correct. His analogy: in basketball you cannot coach height, and in investing there is something called insight that some people simply have. Whether AI can have it is, for him, bound up with the AGI question and genuinely unknown.

    Lehman, the $11 Billion Fund, and Investing at the End of the World

    Oaktree’s biggest call illustrates decision-making with no precedent. Before 2007, the largest distressed debt fund in history was Oaktree’s own $2.5 billion 2002 fund. Sensing distress coming, they raised $11 billion in 2007-08 and kept it on the shelf. Then Lehman Brothers failed on September 15, 2008, and people were talking about the end of the world, all financial institutions melting down, everything having to do with money atomizing. Marks cites a Harvard epidemiologist: decisions rest on data, analogies to past experience, and supposition, and at that moment there was no data and no past experience. The reframe that unlocked action: if the financial world melts down and we invest, it does not matter; if it does not melt down and we did not invest, we did not do our job. Bruce Karsh deployed an average of $450 million a week for 15 weeks, about $7 billion in a quarter, buying debt of companies bought by private equity years earlier at prices where Oaktree would break even even if the companies were worth a quarter or a fifth of the buyout price. Quantitatively easy, emotionally brutal: they were, in his words, absolutely not confident.

    Trepidation Is the Price of Admission

    Marks generalizes the feeling in his memo “Taking the Temperature,” which reviews the five major macro calls of his career: all were made with doubt. Markets crash because the news is terrible, and he consumes the same news feeds as everyone else, so the terrible news looks terrible to him too. The difference is overcoming it. People who look at the world probabilistically and admit ignorance and uncertainty cannot act without trepidation, and if you act without any, something may be wrong with you. He recalls the 1998 LTCM and Russian ruble crisis, when a young portfolio manager came to him convinced everything was melting down; Marks heard his concerns and sent him back to his desk to do his job. The battle hero is not unafraid; he is afraid and does it anyway. And the line that anchors the episode: if you wait until you have nothing to be afraid about, the opportunity has probably passed.

    How You Actually Raise $11 Billion

    Pressed on the mechanics of raising the fund, Marks lists the ingredients. Twenty years of managing money well since 1988 created a reservoir of goodwill. The strategy was purpose-built for crisis, with excellent results through the 1991 and 2001-02 downturns. The pitch positioned the fund as a hedge: most investor portfolios are set up for prosperity, so it makes sense to own something that does particularly well when the stuff hits the fan. And Oaktree could point at specific flaws in the environment, chiefly that the market was failing at its main job of acting as a disciplinarian, the job of telling people that a dumb idea does not make sense and will not be funded. When the market stops saying no, dumb ideas get financed, and when they turn out to be dumb, people lose money. He adds the Spy Game line he and his wife love: when did Noah build the ark? Before the flood. You cannot raise money during a crisis because the news is too terrible. Finally, credibility compounding: Oaktree repeatedly raised smaller funds after successful ones, reasoning that great results meant opportunities had shrunk. Two decades of speaking against their own interest meant that when Howard and Bruce said there was a great opportunity, investors believed they meant it.

    39 Years with Bruce Karsh: Shared Values, Complementary Skills, Appreciation

    Marks calls his partnership with Bruce Karsh, 39 years old that month, one of the greatest things in his life after family and close friendships. They have never had a fight, which he attributes partly to neither being a financial maximizer, since most fights are about money. His 2002 memo formula: shared values and complementary skills. Mismatched values, like one cowboy and one chicken, or one ethical partner and one corner-cutter, doom a firm; he illustrates with the AT&T tombstone ad listing roughly 40 investment banks, nearly all of which eventually vanished as the chickens blamed the cowboys in bad times and the cowboys mocked the chickens in good times. Complementary skills mean each partner does what the other cannot: Bruce approached Marks in 1987 with the novel idea of a distressed debt fund, and from the beginning Bruce stayed back managing money while Howard went on the road and, later, on podcasts. The third element is appreciation: thank your lucky stars you have a partner who will do the stuff you do not want to do.

    Parenting Without Asserting Superiority

    Asked how he raised a son he not only loves but enjoys, Marks cites a decades-old Forbes profile of the only psychiatrist with an office on Wall Street, whose patients’ problems were inversely proportional to the support they got from their fathers. He marvels at how many successful men need to prove they are smarter than their sons, and says he always let Andrew be smarter than him in some things while giving full support to whatever his kids wanted to do, provided it was not injurious. When his daughter got into both good Los Angeles schools, he and his wife had a preference but let her choose, reasoning that they could be wrong, neither option was bad, and children need experience making choices, including incorrect ones.

    Live Your Life Your Own Way

    On career choice, Marks confesses he did a terrible job himself: his decisions for his first decades were unconscious and haphazard, and by his own account he did not really make intentional choices until he left to co-found Oaktree in 1995, around age 49. He went to Citibank because of a good summer job, moved from equities to bonds because his equity research was unsuccessful and he was told to get out, and moved to California for sunshine and palm trees. In 1978 the head of the bond department called the fairly idle Marks about “a guy named Milken or something in California” dealing in high yield bonds, and a legendary career resulted from being at his desk when the phone rang, a story straight out of Outliers. His advice to students at Wharton, Harvard, and Columbia is built on his favorite quote, from writer Christopher Morley: there is only one success, to live your life your own way. Find something that plays to your strengths, avoids your weaknesses, and makes you happy, which really means refusing to let friends, society, or parents decide for you, while accepting the hard truth that you will be a different person in 20 years and must choose anyway.

    Humility as Risk Management

    When the hosts remark on his humility, Marks turns it into a risk framework via Mark Twain: it ain’t what you don’t know that gets you into trouble, it’s what you know for certain that just ain’t true. No sentence beginning “I could be wrong, but” or “I don’t know, but” ever got anybody into trouble; the dangerous sentences begin “I’m 100% convinced that.” If you bet as though you are certain and the odds were really 80/20 and the 20 comes up, that is how you get into big trouble. You make the investment because you believe in it, but you must see the other side.

    Buffett and Munger Stories

    The Buffett friendship began in the wreckage of Enron, which did most of its misbehavior through off-balance-sheet entities. Oaktree became the largest holder of the debt of one called Osprey; Warren Buffett was the second largest, gave Oaktree his proxy, and let Bruce run the position, which Bruce restructured masterfully for a big win. Around 2003-04 Buffett wrote Bruce a note saying nice job, and if you find yourself in Omaha, we’ll have lunch; Bruce and Howard promptly found themselves in Omaha. In 2009, Buffett told Marks he should write a book and promised a blurb, which is why The Most Important Thing exists years before the retirement book Marks had planned. What people do not know about Buffett, Marks says, is the depth of his love for Charlie Munger, expressed in Buffett’s farewell note describing Charlie as the big brother and himself as the little brother. Munger’s celebrated contribution was talking Buffett out of cigar butt investing, the practice of picking up discarded companies for three free puffs, and toward great companies at a good price. They probably had the highest combined IQ of any partnership in history, but of different kinds: Munger the classicist and man of letters who preferred talking about ideas over money, Buffett the incredible computing machine.

    Homework from Howard Marks

    His two book recommendations: A Short History of Financial Euphoria by John Kenneth Galbraith, which shaped his objective view of cycles by teaching the mental weakness that gives rise to booms and busts (he was lucky enough to meet Galbraith), and Fooled by Randomness by Nassim Nicholas Taleb, which argues that in the short run anything can happen because of randomness, with consequences for how we think about risk, portfolio construction, and whether a hot track record reflects skill or luck. He notes, with characteristic self-awareness, that his belief in randomness may be his rationale for not being a decisive thinker, and offers his own memos as the “classic comic” version of Taleb. The episode closes with a nod to his January 2021 memo Something of Value, written after three generations of the Marks family spent the pandemic under one roof arguing about value investing with Andrew.

    Notable Quotes

    “If you wait until you have nothing to be afraid about, probably the opportunity has passed.”

    Howard Marks, on why great investments are made with fear intact

    The thesis of the whole conversation, delivered in the cold open and again in the LTCM story.

    “Second level thinking basically says if you don’t see anything different from everybody else, you can’t possibly be superior.”

    Howard Marks, explaining the first chapter of The Most Important Thing

    The variant perception requirement: see it, bet on it, and be right.

    “In basketball there’s a saying, you can’t coach height. And I think there’s something called insight. And I think some people have it.”

    Howard Marks, on why second-level thinking probably cannot be taught

    Also his open question about AI: whether machines can ever have insight.

    “But if we don’t invest and the financial world doesn’t melt down, then we didn’t do our job. So, we have to do it.”

    Howard Marks, on Oaktree’s reasoning the week Lehman Brothers failed

    The asymmetry that justified investing $450 million a week for 15 weeks.

    “A battle hero is not somebody who’s unafraid. It’s somebody who’s afraid but does it anyway.”

    Howard Marks, sending a panicked portfolio manager back to his desk in 1998

    His answer to the LTCM-era fear that everything was melting down.

    “When did Noah build the ark? Before the flood. You got to build the ark before the flood.”

    Howard Marks, quoting the movie Spy Game on raising crisis funds in advance

    Why the $11 billion was raised in 2007-08 and kept on the shelf.

    “No sentence that starts with I could be wrong but or I don’t know but ever got anybody into trouble. The sentences that get people into trouble are I’m 100% convinced that.”

    Howard Marks, channeling Mark Twain on certainty

    His practical definition of humility as a risk-management tool.

    “The key to a successful partnership is shared values and complementary skills.”

    Howard Marks, on 39 years with Bruce Karsh, from his 2002 memo

    Plus the third element he adds now: appreciation for the partner who does what you will not.

    “There is only one success to live your life your own way.”

    Howard Marks, quoting writer Christopher Morley, his favorite line for students

    The advice he gives at Wharton, Harvard, and Columbia, and admits he did not follow until age 49.

    Watch the full conversation with Howard Marks on My First Million here.

    Related Reading

  • Ken Griffin on AI, the Golden Age of Entrepreneurs, and the Taiwan Chip Risk That Would Cut US GDP 8 Percent: Inside the Citadel Founder’s Goldman Sachs Great Investors Interview

    Ken Griffin, founder and CEO of Citadel, sat down with Goldman Sachs’ Raj Mahajan at the firm’s Apex Symposium (recorded June 2, 2026) for this episode of Goldman Sachs Exchanges: Great Investors. It is their third public conversation in seven years, and Griffin is unusually candid: about the Friday he went home “shocked and depressed” over AI, the agentic system inside Citadel that compresses six weeks of PhD-level work into two hours, why a Chinese move on Taiwan would throw the US into a depression within six months, and the one question every hedge fund investor should ask their GP.

    TLDW

    Griffin names his two proudest leadership calls: dragging Citadel back to the office five days a week before it was acceptable (citing Fed research that remote work has hurt young Americans’ employment more than AI has), and Citadel’s pandemic role, from getting the FDA to approve experimental COVID drug trials in 72 hours to shaping the incentive design behind Operation Warp Speed, which he credits with saving roughly half a million American lives. On markets, he explains why the S&P sits at all-time highs despite wars in the Middle East and Europe: US energy insulation, stunning Chinese oil demand destruction, and record corporate earnings. On AI, he distinguishes hype from reality (a dinner of multinational CEOs gave him five stories of “AI transformation,” none of which were actually AI), then describes the internal breakthrough that changed his mind: an agentic system that reads, reproduces, and out-of-sample-tests academic finance papers in 2 to 3 hours instead of 6 to 8 weeks. The consequences: no layoffs at Citadel, but competitive moats across the economy are being filled in at lightning speed, setting up a golden age of entrepreneurship. He covers the compute market (all available compute is utilized all the time; market makers now spend hundreds of millions a year), China’s lead in roughly 67 of 74 critical technologies, the Taiwan scenario in which losing TSMC chips cuts US GDP 8 percent in six months, an energy doctrine built on nuclear, natural gas, and building data centers (with their own generation) in America, his stress-test approach to tail risk (definable, tolerable, still in business), and hedge fund economics: the industry’s cost of capital is roughly risk-free plus 4 percent, which is why Citadel has returned $25 to 30 billion to its LPs.

    Thoughts

    The most useful thing in this conversation is Griffin’s two-sided read on AI, because he refuses to pick a lane. The paper-replication story is the cleanest documented example yet of AI eating not just white-collar work but masters-and-PhD-level work, from the man whose firm profits from that labor. Yet in the same breath he reports zero headcount reduction, because Citadel has more problems to attack than people to attack them. Both things are true at once, and he names the synthesis honestly: the individual firm gets more productive while every firm’s moat gets shallower. Most commentary picks either the doom frame or the productivity frame. Griffin holds both, and his conclusion (a golden age of entrepreneurship, startups running on a few AI systems instead of 30 to 40 employees) is the actionable part.

    His dinner-party anecdote deserves to be a standard reference. Five global CEOs effusing about AI transformation, and every single story was actually machine learning, optimization, or plain digitization. The C-suite cannot tell AI from technology at large, which means a meaningful slice of the “AI is transforming our business” narrative priced into the S&P is really a decade-old digital revolution wearing a new label. That is not a bearish observation, since the earnings are real either way, but it matters for anyone trying to figure out which companies actually have AI leverage and which have rebranded their IT budget.

    The Taiwan section is the starkest risk framing you will hear from someone who runs both a hedge fund and one of the world’s largest market makers. An 8 percent GDP contraction in six months is not a market correction, it is Boeing halting production, new cars stopping, and consumer electronics freezing simultaneously, because TSMC chips are in every high-end product made. What makes his version distinctive is the second-order point: in a Taiwan blockade, he does not expect unified Western sanctions. Europe’s membership on “team USA” is less clear than it was two years ago, and the Middle East will play Switzerland because China buys its oil. Investors should notice that his answer to “how do you hedge this?” is not clever derivatives, it is his stress-test doctrine: know the worst case, size exposures so the loss is definable and tolerable, and stay in business to fight back.

    Finally, the small structural details are where the conversation earns its Great Investors billing. Compute has become a commodity input like jet fuel, fully utilized at all times and allocated purely by willingness to pay, which quietly favors high-margin businesses and squeezes everyone else. Alternative data made the present transparent, so the remaining edge in stock picking is multi-year vision about which companies are building transformative products. And the hedge fund test he closes with is one any allocator can use tomorrow: is your GP in the asset management business or the performance business? Citadel returning $25 to 30 billion to LPs is what the performance answer looks like in practice.

    Key Takeaways

    • Griffin’s proudest leadership call was bringing everyone back to the office five days a week, extremely early and against the culture, because humans are social creatures who learn through apprenticeship and mentorship.
    • He cites a Fed paper on reduced employment among workers under 30: remote work turns out to be a more important factor in diminished opportunities for young Americans than AI.
    • At the start of the pandemic, a hospital-system CEO called Griffin because he could not get FDA approval for drug trials on ventilated COVID patients; Citadel’s team got experimental trials approved in about 72 hours.
    • The key insight behind Operation Warp Speed, which Griffin discussed at length with Jared Kushner, was an incentives fix: the US government paid pharma to manufacture vaccines before FDA results existed, collapsing time-to-market from months to days.
    • By his math, the country spent a few billion dollars on that risk, saved a few trillion dollars of GDP, and saved roughly half a million American lives.
    • The S&P is at all-time highs despite a Middle East war, a still-raging war in Europe, and a potential skirmish over Cuba, because the US is relatively shielded from the energy shock.
    • China’s oil demand elasticity stunned even Citadel’s commodities business, one of the largest in the world; that demand destruction plus episodic oil flows out of the region has kept crude near the low $100s instead of the nearly $200 most models predicted if the straits closed.
    • Citadel has been a huge user of machine learning since TensorFlow arrived roughly a decade ago; the current wave is an acceleration of a digital revolution already underway, not a clean break.
    • At a dinner two years ago, Griffin asked global multinational leaders to share how AI was transforming their businesses: he got four or five great productivity stories and not one actually involved AI. They were machine learning, optimization, and digitization.
    • In the C-suite the nuance between AI and technology at large gets lost, but bigger budgets and CEO enthusiasm are pushing through real projects with real bottom-line impact; US corporate earnings are at all-time highs and multiples have actually come down as a result.
    • The use case that sent Griffin home shocked and depressed: a Citadel team member built an agentic AI system that reads an academic finance paper, reproduces it, verifies the published results, and tests them out of sample in 2 to 3 hours on average.
    • That same replication work previously took a legion of young masters and PhD hires roughly six to eight weeks per paper; Citadel finds a few tradeable ideas a year this way, and a few ideas can be worth a lot of money.
    • The point he stresses: this is not just a white-collar job being automated, it is a master’s or PhD-level job, and AI is now cracking problems (like the 80-year-old math problem OpenAI solved) that seemed beyond its reach two or three years ago.
    • Despite the breakthrough there has been no reduction in headcount at Citadel: the firm has more problems to attack than people, so Griffin takes every productivity gain he can get.
    • The flip side is that competitive moats across corporate America are being filled in at breathtaking speed, which Griffin expects to produce a golden age of entrepreneurial activity.
    • His example: a startup that would traditionally need 30 or 40 employees now runs with just a few AI systems, letting entrepreneurs take on incumbents in ways impossible 5, 10, or 20 years ago.
    • Some workers face genuinely hard transitions (his example is English-to-German translators), and the country needs to figure out how higher education can retrain these people quickly.
    • Stock picking remains a timeless business with a similar skill set, but the market will increasingly reward multi-year vision about which companies are creating transformative products rather than skill at calling quarterly earnings beats.
    • Alternative data (Citadel has access to the credit card spending of millions of Americans) made the here-and-now transparent a decade ago; AI plus bright people now triage the present almost instantly, so relative value accrues to those who can see years ahead.
    • At Citadel Securities, transformer models continue a decade of ML-driven improvement in pricing and risk management, and the same is true at other leading market-making firms.
    • For all intents and purposes, all available compute in the world is utilized all the time; access is decided by who will pay the most, and the per-unit price has risen beyond what anyone reasonably projected two or three years ago.
    • Large market-making firms now spend hundreds of millions of dollars a year on compute; Griffin compares compute inflation to jet fuel and egg prices, a cost that high-margin businesses can bear and low-margin businesses cannot.
    • China leads in roughly 67 or 68 of the 74 or 75 most important technologies in the world, including solar, EV batteries, and multiple quantum fields, and has pulled ahead in published academic papers.
    • The drivers are structural: 1.4 billion people, an extraordinarily strong educational culture, and far more STEM graduates, producing exactly the human talent needed to win in a high-IP world.
    • China is no longer relegated to producing low-margin products designed in America, and Griffin calls that shift a threat to the American way of life; the answer is not tariffs but educating US youth to out-compete, out-innovate, and out-problem-solve.
    • If China takes Taiwan and the US loses access to Taiwanese semiconductors, the rough estimate is US GDP falls 8 percent in six months: a great depression in the blink of an eye, unlike any before.
    • The mechanism is concrete: Boeing stops making planes within six months, most new cars stop being manufactured, consumer electronics production freezes, because TSMC chips are in every high-end product made.
    • There are no winners in a Taiwan escalation: tanking the US economy would have draconian knock-on effects for China given America’s importance as an export market.
    • In a Taiwan blockade Griffin does not expect unified global sanctions against China: where you sit determines your exposure, Europe’s place on team USA is less clear than two years ago, and the oil-exporting Middle East will play Switzerland.
    • On energy, the US must re-embrace nuclear, with small modular reactors a big part of the story: nuclear has effectively no carbon footprint and one of the lowest mortality rates of any energy source ever used (hydro has killed magnitudes more people).
    • He punctures the clean-energy veneer: solar cells are often made in western China by burning coal, with roughly a seven-year energy payback, and carbon fiber wind turbine blades last 20 years then fill landfills because they do not break down. No truly clean solution exists until fusion or broader nuclear.
    • Until then, natural gas is America’s huge asset: decades of cheap supply, and one of the few things that has actually brought down US carbon emissions.
    • Data centers are going to get built somewhere, and Griffin argues it would be inane for America to end up dependent on foreign countries for them; his fix for NIMBY politics is to require data center builders to construct corresponding power generation, tied to the grid for reliability, rather than pushing costs onto consumers.
    • His hedging doctrine for complicated risks: run stress tests, know exactly how much you lose and where in the worst case, and keep exposures sized so the loss is definable, tolerable, and leaves you still in business and able to fight back. You will never hedge every tail event.
    • Hedge fund industry economics: the long-run cost of capital is roughly the risk-free rate plus 4 percent; underperform and capital flows out, outperform and it flows in, and inflows dilute alpha because alpha capacity is finite.
    • Citadel has returned $25 to 30 billion to its limited partners to keep return on equity high: Griffin’s job is to grow annual alpha capacity, and any capital beyond what the portfolio needs goes back to LPs.
    • The alignment test for allocators: the biggest investor in Citadel’s funds is Griffin and his partners, and every LP should ask whether their GP is in the asset management business or the performance business.

    Detailed Summary

    Return to Office and the Cost of Remote Work

    Asked what he is most proud of beyond the numbers, Griffin starts with Citadel’s early, countercultural demand that everyone return to the office five days a week. He frames it as a human capital decision, not a control decision: people learn through apprenticeship, mentors are critical to development, and the underdevelopment of talent from remote work has damaged the broader economy. He points to recent Fed research on falling employment among under-30s: remote work turns out to matter more than AI in diminishing opportunities for young Americans. Citadel not only brought its team back but publicly extolled the virtues of doing so, and Griffin believes history will be on his side.

    72 Hours to FDA Approval and the Warp Speed Incentive Design

    His second point of pride is Citadel’s pandemic chapter. As the first US COVID cases appeared, a former partner running a major New York hospital system called: he could not get FDA approval for experimental drug trials on ventilated patients facing imminent death, and believed only Griffin could make it happen. Citadel’s team, with decades of government experience, got approvals moving in about 72 hours. The second act was Operation Warp Speed, whose core idea Griffin discussed at length with Jared Kushner: pay pharmaceutical companies to manufacture vaccines before FDA results, so a positive result means days to market instead of the standard sequence losing three to six months. No company would spend billions producing vaccines that might be flushed down the sewer, so the US government took the manufacturing risk on unproven efficacy. A few billion dollars spent, a few trillion in GDP saved, and roughly half a million American lives.

    All-Time Highs in a World at War

    Griffin’s market picture is unsentimental: there is a war in the Middle East, a still-raging war in Europe, potential trouble in Cuba, and the peace both men grew up with is off the table. Yet the S&P sits at record highs. His explanation: America is relatively shielded from the war-driven energy crisis. China has curtailed oil demand with an elasticity that stunned even Citadel’s commodity desk, and episodic oil and LNG flows keep leaving the region, holding crude around the low $100s when most estimates had a strait closure producing nearly $200 a barrel. Meanwhile corporate earnings are at all-time highs, enough that multiples have actually compressed over the last 12 months.

    The AI Story CEOs Tell Versus the One That Is True

    Citadel has used machine learning heavily since TensorFlow arrived a decade ago, powering everything from radiology reads to self-driving cars across the economy, so Griffin sees today’s AI wave as an acceleration of an ongoing digital revolution. His favorite corrective: at a dinner with global multinational leaders two years ago, everyone was effusive about AI transforming their businesses, so he asked them to go around the table with specifics. Four or five genuinely impressive productivity stories emerged, and not one involved AI: they were machine learning, optimization, digitization, technology at large. The C-suite blurs the distinction, but the enthusiasm has unlocked bigger technology budgets and real bottom-line projects, which is part of why earnings are at records.

    The Agentic System That Shocked Him

    Then comes the story behind the famous “shocked and depressed” Friday. Citadel employs legions of young masters and PhD graduates to replicate academic finance papers: read the hypothesis, judge the work, reproduce results, and test whether the effect persists out of sample (does buyback activity predict outperformance, for example). Each paper takes six to eight weeks, and the process surfaces a few valuable ideas a year. A colleague built an agentic AI system that does the entire pipeline (read, reproduce, verify, out-of-sample test) in two to three hours on average. Griffin’s emphasis: this is not routine white-collar work, it is master’s and PhD-level work, and paired with OpenAI solving a math problem open for 80 years, it shows AI cracking problems considered out of reach two or three years ago. Notably, Citadel cut zero headcount on the back of the breakthrough; the firm has more problems worth attacking than people to attack them, so every productivity gain gets absorbed.

    Filled-In Moats and a Golden Age of Entrepreneurs

    The macro consequence Griffin draws is double-edged. Hold two thoughts at once: AI is reaching very high-level work in the job market, with some workers (translators, for instance) facing hard transitions that demand fast retraining through higher education. And simultaneously, the competitive moats of corporate America are being filled in at breathtaking rates. That means entrepreneurs can launch businesses at speeds impossible 5, 10, or 20 years ago: he mentions a startup running on a few AI systems where 30 or 40 employees would once have been required. He expects a wave of these stories over the next couple of years as founders use the technology to take on incumbents.

    The Future of the Stock Picker

    Griffin has called stock picking a timeless business, and he still sees a similar skill set for the portfolio manager of the future, with one shift in emphasis. Predicting quarterly earnings beats has gotten far harder over a decade as alternative data (credit card panels covering millions of Americans, telegraphing Starbucks and McDonald’s revenues) made the present transparent. Now bright people plus good AI triage the here-and-now almost instantly. The scarce, rewarded skill becomes vision: identifying which companies are building genuinely transformative products years before the market fully prices it.

    Compute Is the New Jet Fuel

    At Citadel Securities, which holds double-digit market share across equities, futures, and treasuries, transformer models extend a decade of machine learning gains in pricing and risk. The compute market backdrop is what Griffin calls breathtaking: essentially all available compute on Earth is utilized all the time, so access reduces to who will pay the most. Per-unit compute prices exceed what anyone reasonably projected two or three years ago, and large market makers now spend hundreds of millions of dollars annually. He treats it as straightforward input inflation, like jet fuel or eggs: high-margin businesses can bear it, low-margin ones cannot.

    China’s Technology Lead and the Taiwan Equilibrium

    Griffin states the cold reality: China is one of the most innovative, fastest-growing economies in the world, leading in roughly 67 or 68 of the 74 or 75 most important technologies (solar, EV batteries, several quantum fields) and now ahead in published academic papers. The foundation is 1.4 billion people, a culture with an extraordinary emphasis on education, and far more STEM graduates. China is no longer relegated to manufacturing low-margin products designed in America, and Griffin calls that a threat to the American way of life. His prescription is pointed: not tariffs, but educating American youth to out-compete, out-innovate, and out-problem-solve. Taiwan is the painful pressure point with no winner. If China takes Taiwan and the US loses TSMC chips, GDP falls an estimated 8 percent in six months: Boeing stops making planes, most new car production halts, consumer electronics freeze, a great depression in the blink of an eye. China would suffer draconian knock-on effects too. As an investor he thinks about position: sanctions in a Taiwan blockade would not be unified, Europe’s place on team USA is a genuine question mark now, and the oil-exporting Middle East would play Switzerland since China is its biggest customer.

    Energy Realism: Nuclear, Gas, and American Data Centers

    On powering AI, Griffin wants America to lead again in nuclear, with small modular reactors central: no meaningful carbon footprint and one of the lowest mortality rates of any energy source ever deployed (hydro has killed magnitudes more people). He challenges the superficial cleanliness of renewables: solar cells are often made in western China with coal power, requiring about seven years of energy capture to break even against the coal burned making them, and 20-year-old carbon fiber wind turbine blades do not break down and are already filling landfills. Until fusion or expanded nuclear, America’s real asset is natural gas: decades of cheap supply that has actually driven US emissions down. His data center position is blunt: they will get built somewhere, and depending on foreign countries for them would be inane, so build them in America. His answer to NIMBY politics: require data center developers to build corresponding power generation, tied to the grid for reliability, so the cost never lands on the American consumer.

    Tail Risk, Tolerable Losses, and Hedge Fund Alignment

    On hedging complicated risks, Griffin’s method is stress testing: if this happens, how much do we lose and where, and is that loss tolerable? You can never manage a portfolio for every possible tail event, but you can keep exposures sized so the worst case is definable and tolerable, leaving you still in business and positioned to fight back. On industry returns, he pegs the hedge fund cost of capital at roughly the risk-free rate plus 4 percent as the long-run equilibrium: underperformance drains capital, outperformance attracts it, and since recent outperformance keeps pulling money in, growing assets dilute alpha. That is why Citadel has returned $25 to 30 billion to LPs: alpha capacity is finite, Griffin’s job is to grow it, and excess capital goes back to investors to keep return on equity high. The closing advice is an alignment test: Citadel’s biggest investor is Griffin and his partners, and every allocator should ask whether their GP is in the asset management business or the performance business.

    Notable Quotes

    “Turns out that remote working is a more important factor to diminished employment opportunities for young Americans than AI.”

    Ken Griffin, citing Fed research on under-30 employment

    “We spent a few billion dollars as a country. We saved a few trillion dollars in GDP. We saved roughly half a million American lives.”

    Ken Griffin, on Operation Warp Speed’s incentive design

    “I got four or five incredible stories of how companies were achieving meaningful productivity gains. Not one involved AI.”

    Ken Griffin, on his dinner with global multinational CEOs

    “My colleague built an agentic AI system that would read a paper, reproduce it, verify the results that were published in the paper, produce the results out of sample, and do all this work in about on average 2 to three hours.”

    Ken Griffin, on the breakthrough that replaced six to eight weeks of PhD-level work

    “We’re likely to see a golden age of entrepreneur activity. Like entrepreneurs will be able to launch new businesses at breathtaking speeds and will be able to take on incumbents in ways that you just couldn’t do 5, 10, 15, 20 years ago.”

    Ken Griffin, on AI filling in competitive moats

    “All the available compute today is more or less utilized all the time. So the question is who’s willing to pay the most for it?”

    Ken Griffin, on the global compute market

    “The US loses access to Taiwanese semiconductor chips, our GDP falls by 8% in 6 months. Simply put, we go into a great depression in the blink of an eye unlike any we’ve seen before.”

    Ken Griffin, on the Taiwan scenario

    “We better damn well build the data centers in America because they’re going to get built somewhere in the world.”

    Ken Griffin, on energy policy and AI infrastructure

    “Definable, tolerable, still in business, still in a position to fight back from that point.”

    Ken Griffin, summarizing his approach to hedging tail risk

    “Are they in the asset management business or are they in the performance business?”

    Ken Griffin, on the question every hedge fund investor should ask their GP

    Watch the full conversation here: Ken Griffin on Goldman Sachs Exchanges: Great Investors.

    Related Reading

  • Lloyd Blankfein on the 3 Sectors Where He Puts His Money Now: Big Tech, Energy, and Financial Services, Day Trading From an iPad, and the Warren Buffett Handshake That Backed Goldman in 2008

    Lloyd Blankfein spent almost 40 years at Goldman Sachs, the last dozen as its chairman and chief executive, and he still trades almost every day from an iPad. In this wide ranging conversation on the My First Million podcast, the former Goldman boss lays out exactly where he is putting his own money right now, why a supportive spouse beats nearly any investment, how Warren Buffett wired five billion dollars into Goldman on a handshake during the 2008 crisis, and why he reads medieval history to stay calm about the present. It is part stock picking, part risk philosophy, and part a frank accounting of money, marriage, and the scars of growing up in the projects.

    TLDW

    Blankfein says he is roughly 98 percent in risky assets, almost all equities, and concentrated in three sectors he knows cold: big tech, energy, and financial services. His personal book leans heavily into single stocks over ETFs, weighted toward the big hyperscalers and a few second tier names, and he trades daily, alone, from an iPad and a phone, using calls and texts as his research network. Yet the advice he gives a normal investor is the boring opposite: a diversified S&P 500 fund like VOO, more risk when you are young because you will outlive your mistakes, the same thing Warren Buffett would tell you. The conversation ranges across the 2008 Buffett investment in Goldman, the cost of trying to legislate risk out of markets, the thin margin between the best and the rest, luck and the myth of the genius, why reputation is the real contract on Wall Street, why a supportive spouse is the highest return asset he knows, the money anxiety he carried out of a Brooklyn housing project, the dignity of a 500 dollar financial aid check, giving with a warm hand versus a cold one, the dangers of gamified investing, the big misses like SpaceX and early cellular, the obituary test a senior partner once gave him, and why reading history keeps the present in proportion.

    Thoughts

    The most useful tension in this interview is the gap between what Blankfein practices and what he preaches. He tells young people to buy a diversified S&P 500 index fund, he holds VOO himself, and he calls the host’s plain 90 percent stocks and 10 percent bonds split sensible. Then he admits his own portfolio is something like 90 percent single stocks that he trades by hand every day. The honest read is that his edge is not a transferable tip. It is a 40 year information network of phone calls and a tolerance for risk that most people neither have nor should want. The replicable lesson is the boring half, not the day trading half.

    The most contrarian idea here is not a stock pick, it is his defense of risk itself. His argument that regulators trying to prevent the hundred year storm also forfeit the 99 normal years of growth in between is a serious claim about the price of safety, and it travels far beyond Wall Street. The same goes for his point that a good risk manager sometimes has to push people to take more risk, not less. The moment after a loss, when everyone goes gunshy, is exactly when the best operators lean back in. That is an uncomfortable thing for a former bank CEO to say out loud, and it is the part of the conversation most worth sitting with.

    The Warren Buffett story is a master class in what actually moves markets, and it is not cash. Goldman did not need the five billion dollars. Blankfein says the money was almost irrelevant because the firm already had money. What it could not manufacture was confidence, and Buffett’s name supplied it. The handshake, the commitment with no paperwork, the line about worrying enough for the both of us, all point to the same thing. At the top, reputation is the collateral. His aside that most trades are never written down because you will never eat lunch in this town again is the same idea wearing street clothes.

    Quietly, the personal finance thread may be the most valuable part for a normal listener. A former Goldman CEO saying that a supportive partner is more game changing than any investment, that a bad marriage is financially worse than being lonely, and that he has not paid a bill in over 40 years because his wife runs the household economy, is a reminder that household stability is itself an asset class. The 500 dollar financial aid check he still remembers half a century later, and his give with your warm hand philosophy, reframe wealth as something measured by how it feels to give and to receive, not just by the size of a pie chart.

    Finally, the history obsession is not a side hobby, it is his risk model. Reading about the black plague, the McCarthy era, and the Vietnam draft is how he keeps the present in proportion. His Mark Twain line, that history does not repeat but it rhymes, is the direct antidote to the in this economy defeatism he and the host both complain about. For an investor, that long view is close to the whole game. It is what lets you hold through the drawdowns that scare everyone else out of the market.

    Key Takeaways

    • Blankfein estimates he is about 98 percent in risky assets, with roughly 95 of those 98 points in equities, and the rest spread thin. He invests in risky assets because, in his words, that is what is fun for him.
    • Within his equities, he is heavily tilted toward single stocks rather than ETFs. He frames it as roughly a quarter to a third in ETFs and the rest in single names, and concedes it could be as lopsided as 90 percent single stocks because picking names is what he enjoys.
    • The three sectors he has concentrated in for years are big tech, energy, and financial services, and he says his outperformance comes from where he focused, not from any special genius.
    • On tech he owns the big hyperscalers, the Googles, Microsofts, and Nvidias of the world, plus a tier just below them, naming Oracle and Larry Ellison as an example of a slightly riskier second tier name. He thinks in categories, not fixed tickers, because he changes positions constantly.
    • He says he has a background in trading energy, which is why energy is a core sleeve, and he knows financial services from the inside after almost 40 years at Goldman, so those are natural areas of edge.
    • He still owns a lot of Goldman Sachs stock, out of affection for the firm he spent his career building.
    • He is bullish on big tech and plans to stay bullish until it stops going up. His foreseeable future, he jokes, lasts until he finishes the conversation and checks the screen again.
    • He trades every single day, alone, with no team. He does it from an iPad and a phone, not a computer, and treats the market like background music rather than a job.
    • His research is human, not algorithmic. He chats and texts with people, then calls them because he is tired of fixing typos, and he reads the New York Post, the Wall Street Journal, the New York Times, the Financial Times, and Bloomberg.
    • The advice he gives ordinary investors is deliberately boring and different from his own behavior: hold a diversified equity portfolio like an S&P 500 fund, with VOO as his own example, and tilt more aggressively when you are young because you have time to outlive mistakes.
    • He notes that broad indexes are already heavily weighted toward tech because of market cap, so a plain index gives meaningful tech exposure, and a tech focused ETF on top can add a disproportionate tilt for believers.
    • He calls the host’s simple 90 percent index and 10 percent bonds allocation sensible, and says this is essentially the same advice Warren Buffett would give a normal person.
    • The older you get, the more conservative you should become, shifting from maximizing gains toward not losing what you have. Young people can afford more risk precisely because they will outlive their errors.
    • During the 2008 financial crisis, Warren Buffett invested about five billion dollars in Goldman through a preferred stock structure, essentially on a phone call and a handshake, with no demand for due diligence.
    • Buffett’s real value was confidence, not capital. Goldman already had money, but it had lost the confidence of the market while peers were failing. Buffett’s name signaled the firm was a good investment being beaten down by circumstances that would reverse.
    • Buffett asked for a verbal commitment that Goldman would not sell shares before he did, and declined to put it in writing. He waved off the worry with the line that five billion dollars going bad would not even be a bad hurricane for Berkshire, an insurer.
    • Most trading is done on reputation, not paper. Blankfein says people buy and sell bonds worth enormous sums without written contracts, relying on probity, because anyone who reneges will never eat lunch in this town again.
    • On risk and regulation, he argues you cannot legislate risk away. Trying to prevent the hundred year storm also forgoes the 99 in between years of growth, and a good risk manager sometimes has to encourage people to take risk, not suppress it.
    • The best traders have resilience. They bounce back, focus on new information rather than the past, and adapt quickly instead of staying gunshy after a loss.
    • The difference between someone who is really good and someone who cannot make it is small. He compares it to a golf tournament won by one stroke with six people tied for second, and notes much of life is winner take all at razor thin margins.
    • Luck matters enormously. He became Goldman CEO partly because his predecessor was nominated to be Treasury Secretary, a reference to Hank Paulson, and the timing of opportunities is often out of your control.
    • He is skeptical of the word genius. He says he can usually see how successful people do what they do, with Elon Musk as a rare exception, and that powerful people are more normal, more insecure, and more flawed than outsiders assume.
    • On democratized investing, he thinks apps that make markets accessible are good in their own terms, but gamifying trading with confetti and high fives can mask real danger for people who can lose more than they can afford.
    • He has missed plenty. He thought SpaceX was overpriced at a 100 billion dollar valuation, now discussed near a trillion and three quarters, and passed on early cellular because he could not imagine why anyone would carry a bulky phone when payphones existed. He says he missed far more than he got.
    • He frames a supportive spouse as more game changing than almost any investment, and warns that a bad marriage, with custody fights and property settlements, is financially and personally worse than being lonely.
    • He has not paid a bill in over 40 years. His wife Laura, a former lawyer he says now chairs Barnard College, runs a bill paying service and manages the household economy. He generates the money, she distributes it.
    • He grew up in an East New York, Brooklyn housing project, the son of a postal worker, and carried money anxiety well into his 30s. He recalls buying a vacation home that cost more than all their savings, with his wife unable to make the math work until they remembered the down payment.
    • A 500 dollar financial aid check, handed to him without shame as a college freshman around 1971, shaped his philosophy on giving. He learned it is not enough to give people what they need, you have to give it in a way that feels dignified.
    • He embraces the give with your warm hand, not your cold hand idea, the notion of giving while alive so you can experience the joy, which connects to the spirit of the book Die With Zero.
    • He admits ambivalence about giving to his kids, the strange feeling of resenting that they have what he provided, and notes the heavy burden carried by children of prominent people who must prove they earned their place.
    • He describes himself as wired for anxiety, inherited from his father, and says looking around corners for what could go wrong actually suited a career in a risky business with a big balance sheet.
    • When he made partner, a senior partner gave him rules of the road, including avoiding misconduct, being conservative on taxes, setting up a charitable foundation, and living so that no more than three of the nine paragraphs in his eventual obituary would be about Goldman. He says he stayed too long to pass that test.
    • He reads history as a discipline, favoring Barbara Tuchman, Robert Caro’s The Power Broker, Ron Chernow, Rick Atkinson, and Stephen Ambrose. His core belief, borrowed from Mark Twain, is that history does not repeat but it rhymes, which is why he would not bet against America.

    Detailed Summary

    The three sectors he actually invests in

    The headline answer to where the former Goldman CEO is putting his money is simple: big tech, energy, and financial services. He says he has been focused on those three areas for a long time, and that his outperformance is a function of where he aimed rather than any unusual investing gift. Energy is natural because he has a background trading it. Financial services is natural because he spent nearly 40 years inside the industry. Tech is where he is most heavily concentrated, and he expects to stay there for good reason, citing the threshold of large changes in technology. He owns the major hyperscalers by category, the Googles, Microsofts, and Nvidias, plus a tier just below, offering Oracle and Larry Ellison as a polite example of a slightly riskier second tier name. He is careful to say he thinks in categories rather than fixed tickers because he changes his positions all the time.

    How the portfolio is really built: single stocks over ETFs

    Asked to describe his portfolio as a pie chart, Blankfein says he is about 98 percent in risky assets, with roughly 95 of those points in equities. He pushes back on the idea that index funds are safe, pointing out that a diversified equity ETF is still equities and still risky, just spread out, and very different from debt or short term money markets. Within his equity sleeve he leans into single stocks, framing it as somewhere between a quarter and a third in ETFs and the rest in individual names, and conceding it might be as extreme as 10 percent ETFs and 90 percent single stocks. The reason is preference, not theory. Picking and trading names is what he likes to do, and he is honest that this is a hobby pursued by a professional, not a model for someone investing for a living.

    How he actually trades: an iPad, a phone, and a network

    He trades every day, by himself, with no team. There is no Bloomberg terminal and no desk of analysts. He uses an iPad and a phone, and admits it takes discipline not to glance at his screen mid conversation. The market, he says, is like music playing in the background while he does other things. His information edge is relational. People text him, he texts back, and then he calls because he is tired of fixing typos with what he calls his fat fingers. He follows general and business news, reads a stack of newspapers starting with the New York Post, and treats companies like little stories, almost like gossip. He even notes, with some delight, that he still watches commercials on Netflix, a small window into a frugality that never fully left him.

    The advice he gives young investors, and what Buffett would say

    For a normal person, his counsel is the opposite of his own behavior. He would hold a diversified portfolio of equities like an S&P 500 fund, naming the SPY and VOO tickers and saying he personally uses VOO. Because of the importance of technology, he might add a tech oriented ETF for extra tilt, while noting the broad index is already tech heavy by market cap. He endorses the host’s plain 90 percent index and 10 percent bonds split as sensible and says it mirrors what Warren Buffett would advise. His one piece of age based guidance is that younger investors should accept more risk through equities, because they have time to recover, while older investors should grow more conservative and focus on not losing what they have rather than maximizing returns.

    The Warren Buffett handshake that backed Goldman in 2008

    The most cinematic story in the conversation is Buffett’s roughly five billion dollar investment in Goldman during the financial crisis, structured as a preferred stock that sits between a loan and equity. Blankfein describes a deal done largely on trust. When he offered to walk Buffett through everything he was worried about, Buffett replied that he knew Lloyd well enough to know he worried enough for the both of them. Buffett also asked, verbally and without writing, for a commitment that Goldman would not sell shares before he did. Blankfein is clear that the cash itself was almost irrelevant, since Goldman had money. What the firm lacked was the confidence of a frightened market, and Buffett’s willingness to invest before things improved supplied exactly that signal. Buffett, he stresses, was acting for his own shareholders, not as a rescuer, which is precisely what made the vote of confidence credible.

    Why you cannot legislate risk out of the system

    Reflecting on the post crisis regulatory push to make sure 2008 never happened again, Blankfein makes a careful argument about the price of safety. Once you are in the business of taking risk, anything can happen, and trying to legislate it away has a hidden cost. You may think you are protecting the world from the hundred year storm, but you also forgo the 99 years of growth in between. He extends this inside the firm too. After a period of big losses, partners had become gunshy and were talking themselves out of every idea. A good risk manager, he argues, sometimes has to promote risk taking rather than repress it, because without risk there is no growth, no entrepreneurship, and no progress. The flip side is real: take risk and there is a meaningful chance you fail and lose other people’s money, which is a terrible outcome. But the alternative, never risking anything, buys comfort at the cost of ever moving forward.

    Small margins, big outcomes, and the role of luck

    Asked what separated the traders who could not outperform from the rest, Blankfein says the gap between the very good and those who cannot make it is surprisingly small. He likens it to a golf tournament decided by a single stroke with six players tied for second, and to acting, where the best performer gets every role and the second best waits tables. Much of life, he says, is winner take all at tiny margins. Luck compounds this. He freely credits fortune for his own rise, noting he became CEO in part because his predecessor was tapped to be Treasury Secretary. He is also skeptical of the genius label. He can usually see how accomplished people do what they do, with Elon Musk a rare exception, and insists the powerful are more normal, more insecure, and more driven by their flaws than outsiders imagine.

    Reputation is the real contract

    A recurring theme is that the financial world runs on reputation more than paperwork. Blankfein notes that most of what traders do is not written down. People buy and sell bonds and other instruments that settle days later, relying on probity rather than signed contracts, because anyone who lies or reneges will never eat lunch in this town again. He references the casual texts between Elon Musk and Larry Ellison around the Twitter acquisition as proof that big does not mean complicated. There are big things that are simple and little things that are complicated. Documentation is good when execution is far off, but when a deal will be performed in two days, dotting every i is often pointless. The point is not that documents do not matter, it is that trust and reputation are the load bearing structure.

    A supportive spouse as the highest return asset

    The conversation turns personal when both men agree that a supportive partner may be the single most game changing factor in a life, more than any investment. Blankfein adds the inverse warning: a bad marriage, with breakups, custody battles, and property settlements, is worse than loneliness. He credits his wife Laura, a former big firm lawyer he says now chairs Barnard College, with handling everything when his career moved the family overseas, from the car to the house to the kids’ schooling, while he took the visible victory laps at work. He has not paid a bill in over 40 years. Laura manages a bill paying service and runs the household finances. As he puts it, he is in charge of generating the money and she is in charge of distributing it. The host contrasts this with his own monthly money meetings with his wife, a discipline he picked up from a personal finance author friend.

    Money scars, the 500 dollar check, and giving with a warm hand

    Blankfein grew up in an East New York housing project, the son of a postal worker who had earlier lost a job, in a household where rent was scarce. He calls himself an urban hick who barely left Brooklyn as a kid. That scarcity left a mark that lasted into his 30s. He tells the story of buying a small beach house that cost more than all their savings, and of his wife driving 30 miles while failing to make the closing math work, until they realized she had forgotten to count the 10 percent down payment. The most resonant memory is a 500 dollar financial aid check handed to him as a freshman around 1971, made out on the spot by a clerk with a generosity of spirit that let him receive it without shame. That experience shaped a lifelong view that giving well means preserving dignity, and he now co chairs a financial aid campaign at his university. It also connects to his embrace of the idea of giving with your warm hand rather than your cold hand, giving while alive so you can feel the joy, the same spirit as the book Die With Zero. He is candid about a strange ambivalence, the way he can resent that his kids enjoy what he himself gave them.

    Robinhood, confetti, and the misses

    On apps like Robinhood, Blankfein takes a balanced view. Democratizing investing and making assets accessible is good in its own terms, and advertising can pull people toward markets they would otherwise ignore. But if you make trading too much like a video game, with confetti and high fives, you can mask the danger and lure people who cannot afford to lose into losing more than they can. He is equally frank about his own misses. He thought SpaceX was overpriced at a 100 billion dollar valuation, a figure now discussed near a trillion and three quarters. He passed on early cellular because he could not imagine why anyone would carry a bulky phone with payphones everywhere. His blunt summary is that he missed far more than he got, and that nobody is great at predicting the future.

    The obituary test, thick skin, and staying too long

    When Blankfein made partner, a senior partner assigned to acculturate new partners gave him rules of the road: avoid anything that would today be called misconduct, be rigorous and conservative on taxes, set up and actually use a charitable foundation, and keep enough balance that, if your obituary runs nine paragraphs, no more than three are about Goldman. Blankfein says he failed that last test by staying too long, even titling his memoir around the firm. He also reflects on having a thick skin, recalling unflattering press and concluding that he could take a punch, a trait not everyone has and one he did not know he possessed until he was tested. He is careful to say this does not make people who cannot take a punch bad, just differently wired.

    Why he reads history: it rhymes

    The final stretch is a love letter to reading history. Blankfein favors Barbara Tuchman, whose A Distant Mirror he has read twice and whose Guns of August he calls fantastic and influential, along with Robert Caro’s The Power Broker on Robert Moses, Ron Chernow’s biographies, Rick Atkinson’s Revolution series, and Stephen Ambrose’s Undaunted Courage. He describes rereading the Robert Moses book after 40 years of trying to get things done and finding his appreciation for the achievements rise, even as the flaws stayed the same, because he had changed. He ties history directly to markets through the Mark Twain line that history does not repeat but it rhymes. Patterns recur, every generation maximizes its own crises and minimizes resolved ones, and reading about the black plague, the McCarthy era, or the Vietnam draft is how he stays calm. His conclusion, echoing a sentiment often attributed to Buffett, is that he would not bet against America, a country he describes as mostly good and able to improve.

    Notable Quotes

    “I invest in risky assets. That’s what’s fun for me.”

    Lloyd Blankfein, describing his own portfolio, which he says is roughly 98 percent risky assets

    “It’s been good to be bullish on big tech, and I’ll stop being bullish on it when it stops going up.”

    Lloyd Blankfein, on why he stays concentrated in technology

    “I’m not at a computer. I don’t have a computer. I have an iPad.”

    Lloyd Blankfein, on how he day trades every day, alone and with no team

    “To me, the market is like music. It’s out there. It’s going on.”

    Lloyd Blankfein, on why trading daily feels like a hobby rather than work

    “Look, $5 billion if it all goes bad, that’s not even a bad hurricane on the East Coast.”

    Warren Buffett to Lloyd Blankfein, waving off the risk of his 2008 investment in Goldman Sachs

    “The difference between somebody who’s really, really good and somebody who can’t make it is not that great.”

    Lloyd Blankfein, on the thin margin between the best and the rest

    “You may think you’re protecting the world from the hundred-year storm, but you’re also going to forego the 99 years of in between when there was growth.”

    Lloyd Blankfein, on the cost of trying to legislate risk out of markets after 2008

    “I’m in charge of generating the money, and she’s in charge of distributing it.”

    Lloyd Blankfein, on his 40-plus-year marriage to Laura and why he has not paid a bill in decades

    “History doesn’t repeat, but to paraphrase Mark Twain, it rhymes.”

    Lloyd Blankfein, on why reading history keeps the present in proportion

    Watch the full conversation with Lloyd Blankfein on the My First Million podcast here.

    Related Reading

    • Lloyd Blankfein (Wikipedia) background on the former Goldman Sachs chairman and CEO whose investing views anchor the conversation.
    • My First Million podcast the show where this interview took place, for the full back catalog of investor and founder conversations.
    • Berkshire Hathaway primary source on Warren Buffett’s company, which made the roughly five billion dollar Goldman investment in 2008.
    • Vanguard S&P 500 ETF (VOO) the diversified index fund Blankfein names as the sensible core holding for a normal investor.
    • Die With Zero by Bill Perkins the book behind the give with your warm hand, not your cold hand philosophy discussed near the end.

  • Alex Becker’s Principles for Wealth and Success

    Alex Becker, claiming a net worth approaching multi-nine figures, argues that achieving significant wealth and success boils down to adopting specific principles and a particular mindset. He asserts that these principles, though sometimes counterintuitive or harsh, are highly effective. He emphasizes that conventional paths often lead to mediocrity and that true success requires a different approach focused on leverage, risk, focus, and a specific understanding of how to manage one’s own mind and efforts.

    🏛️ Core Principles for Success

    These are the foundational principles Becker identifies as crucial:

    1. Everything Is Your Fault:
      • Take absolute ownership of everything that happens in your life, both good and bad.
      • Avoid a victim mentality; blaming others removes your control over the situation.
      • Using the drunk driver analogy: while the drunk driver is legally at fault, focusing on your own decisions (driving late, not looking carefully) allows you to learn and potentially avoid similar situations in the future.
      • This mindset forces you to think ahead and strategize to avoid negative outcomes and trigger positive ones.
    2. Volume Overcomes Luck:
      • Success isn’t primarily about luck, especially in business.
      • Consistently putting in high volume of effort (e.g., 10-12 hours a day for years) inevitably leads to skill development and results.
      • If you take enough shots (e.g., try enough business ideas with full effort), one is statistically likely to succeed, overcoming the need for luck.
    3. Embrace Being Cringe:
      • Accept that the initial stages of learning or starting anything new will be awkward, embarrassing, and “cringe”.
      • Becker cites his own early videos, jiu-jitsu attempts, and guitar playing as examples.
      • Willingness to look bad, be judged, and make mistakes is essential for growth and achieving mastery.
      • Fear of looking like a beginner or being judged prevents most people from starting or persisting.
      • Consider this willingness a “superpower”; putting yourself out there forces rapid learning and improvement.
    4. Get Rich From Leverage (Not Just Hard Work):
      • Hard work alone doesn’t guarantee wealth; leverage multiplies the impact of your efforts.
      • Types of Leverage:
        • Assets: Owning assets (like a business) that generate value or appreciate.
        • Systems/Delegation: Building systems and hiring people so your decisions or processes are executed by others, multiplying your output. Example: Training a sales team vs. making calls yourself.
        • Capital: Using money (often borrowed against assets) to acquire more assets or invest.
      • Focus work efforts on activities that build leverage, not just repeatable low-leverage tasks.
      • This is the key to working fewer hours while making significant money (the “one hour a week” concept) – build leverage, then delegate its management.
    5. Understand and Take Calculated Risk:
      • Avoiding risk is the surest way to guarantee failure or mediocrity. Almost all success comes from taking risks.
      • Structure your life to enable risk-taking. This primarily means keeping personal expenses extremely low, so failures don’t ruin you.
      • View risk-taking as a skill that improves with practice. Each attempt, even failures, provides learning for the next.
      • The reward potential in business/wealth creation often vastly outweighs the downside if you can take multiple shots. Position yourself to be a “chronic risk taker”.
    6. Don’t Stay In Your Comfort Zone:
      • Comfort leads to stagnation at every level of success.
      • People plateau (e.g., at a comfortable job, or even at $2M/year income) because they become unwilling to take new risks or face discomfort.
      • Continuously ask yourself if you are comfortable; if yes, you need to push yourself into something challenging or scary to grow. Time is limited for taking big swings.
    7. Sacrifice Ruthlessly:
      • “If you fail to sacrifice for what you care about, what you care about will be the sacrifice”.
      • Audit your life: identify activities, possessions, habits, and even relationships that don’t align with your core goals.
      • Cut out the non-essentials ruthlessly (e.g., mediocre friendships, time-wasting hobbies, bad habits like excessive drinking or video games).
      • Prioritize work over social life, especially early on. Becker argues most early-life friendships fade anyway, and financial stability enables better long-term relationships.
      • Reject the justification of “living a little” for habits that hold you back; often these are just dopamine traps or addictions.
      • Live poorly initially to free up time and resources to invest in yourself and your goals.
    8. Focus: One Thing is Better Than Five:
      • To achieve exceptional results and beat competitors, intense focus on one primary objective is necessary.
      • Splitting focus leads to mediocrity in multiple areas (Tom Brady analogy).
      • Most highly successful people (billionaires) achieved their wealth through one primary business or endeavor. Identify your main thing and say no to almost everything else.
    9. Enjoy the Process (The Game Itself):
      • Peak happiness often arrives relatively early in the wealth journey (e.g., when bills are comfortably paid). More money doesn’t proportionally increase happiness.
      • Find fulfillment in the process of learning, growing, and playing the “game” of business or skill acquisition, much like leveling up in a video game.
      • Avoid “destination addiction” – thinking happiness will only come upon reaching a specific goal.
      • Recognize the ultimate pointlessness (in the grand scheme of mortality) allows you to define the point as enjoying the journey itself.

    💰 Specific Wealth Building Strategy: Equity over Income

    Becker advocates focusing on building equity (the value of your assets, primarily your business) rather than maximizing income.

    • Problem with Income: High income is heavily taxed, and much is often spent on lifestyle or agents/expenses, reducing actual wealth accumulation (Dak Prescott example). Pulling profits as income also starves the business of capital needed for growth.
    • Equity Focus:
      • Reinvest profits back into the business to fuel growth.
      • This growth increases the valuation (equity) of the business, often at a multiple (e.g., $1 reinvested might add $5 to the valuation).
      • Growth in business value (equity) is typically unrealized capital gains and not taxed until sale.
      • Live off a small salary or, more significantly, borrow against the business equity for living expenses or investments. Loans are generally not taxed as income.
      • This creates a cycle of reinvestment, equity growth, and tax-advantaged access to capital.
      • If the business is eventually sold, it’s often taxed at lower long-term capital gains rates.

    🧠 Mindset and Execution

    Beyond the core principles, Becker stresses several mindset shifts:

    • Be Unbalanced: Accept and embrace periods of extreme imbalance, prioritizing goals (especially financial stability) over a conventionally “balanced” life filled with mediocrity.
    • Value Specific Opinions: Only heed advice from people who have demonstrably achieved what you aspire to achieve. Ignore opinions from parents, friends, or the general public if they haven’t reached those goals.
    • Strategic Arrogance/Confidence: Reject forced humility. Cultivate strong self-belief and confidence (backed by work and sacrifice) as it fuels risk-taking and ambitious action. Frame life as a game where a confident “main character” mindset is more fun and effective, while acknowledging the ultimate lack of inherent superiority.
    • Embrace Dislike: Don’t fear being disliked or misunderstood, especially by those outside your target audience. Controversy can be effective marketing (Brian Johnson example).
    • Value Simplicity: Prioritize clear, simple thinking and communication over complex jargon that often masks a lack of results (contrasting Steve Jobs/Hormozi with “midwits”).
    • Ruthless Prioritization of Time/Focus: Be extremely protective of your time and mental energy. Say no often and don’t apologize for prioritizing your core objectives over others’ demands.

    ⚙️ The Engine: Optimizing Your Brain (The Sim Analogy)

    Becker argues the primary obstacle to achieving goals is the inability to consistently direct one’s own brain and actions. He suggests treating the brain like a Sim you need to program, optimizing three key areas through removal:

    1. Energy (Brain Health):
      • Remove: Bad food (sugar, inflammatory foods), poisons (alcohol, pot), poor sleep habits.
      • Add/Optimize: Clean diet (plants, meat, simple carbs), adequate sleep, exercise.
      • Result: Increased physical and mental energy, reduced brain fog.
    2. Focus:
      • Remove: All non-essential distractions. This includes financial stress (by drastically lowering living costs), unnecessary social obligations (friends, excessive family time), non-productive hobbies, politics, mental clutter (chores, complexity).
      • Result: Ability to direct mental resources intensely towards the primary goal.
    3. Motivation (Dopamine Management):
      • Understand: The brain seeks the easiest path to dopamine/reward and doesn’t prioritize long-term benefit. Modern life offers many “shortcuts” (video games, porn, social media, junk food, TV) that provide high dopamine with low effort.
      • Remove: These dopamine shortcuts. Smash the TV/game console, delete social media apps, block websites, eliminate junk food.
      • Result: By removing easy dopamine sources, the brain’s reward system recalibrates. Productive work and achieving goals become the most stimulating and rewarding activities available, making motivation natural rather than forced. Embrace the initial boredom until the baseline resets.

    By systematically optimizing energy, focus, and motivation through removal, Becker claims you can transform yourself into a highly effective individual capable of achieving ambitious goals.

    🚀 Practical Starting Advice

    • Just Start: Don’t get paralyzed by picking the “perfect” business. Start something. Skills learned are often transferable, and you’ll discover what works for you through action.
    • Find Breakage: Look for inefficiencies or problems in existing markets where businesses are losing money or customers are underserved. Solving these “breakage” points creates valuable opportunities.
    • Niche Down: In saturated markets, focus on a specific, underserved niche where you can become the best provider.

  • Inside the Mind of Stan Druckenmiller: Investment Strategies, Market Insights, and Timeless Financial Wisdom

    Stan Druckenmiller discusses market insights, trading strategies, and lessons from his career in investing, focusing on adaptability, timing, and risk management. He emphasizes macro investing from the ground up, relying on both data and intuition, and warns about inflation and debt risks similar to the 1970s. He underscores the importance of humility, cutting losses quickly, and valuing mentorship. Druckenmiller advocates for investing in innovation early, using AI and anti-obesity stocks as examples. He discourages pursuing finance solely for money, emphasizing passion and continuous learning.

    In an insightful conversation with Nicolai Tangen, CEO of Norges Bank Investment Management, legendary investor Stan Druckenmiller shared his views on market dynamics, investment strategy, and the philosophies that have guided his success. Known for his unique approach to macro investing, Druckenmiller offers a wealth of knowledge on balancing data, intuition, and risk.

    The Current Market Landscape and Inflation Concerns

    Druckenmiller expresses caution about the potential resurgence of inflation, likening current conditions to the inflationary 1970s. While the Federal Reserve has made moves to stabilize the economy, Druckenmiller critiques its focus on a “soft landing,” warning that it might prioritize short-term gains over long-term economic health. According to him, the Fed’s reliance on forward guidance has reduced its flexibility, limiting its ability to respond dynamically to market changes.

    “I’m more concerned about inflation now than the economy itself,” he shared. Reflecting on past cycles, Druckenmiller notes that economic downturns often re-ignite inflationary pressures, a lesson he suggests the Fed should keep in mind.

    Investment Strategy: Combining Intuition with Data

    One of Druckenmiller’s most famous approaches, “macro from the bottom up,” combines in-depth company data with broader economic analysis. This strategy has served him well across different market conditions, giving him an edge in identifying underlying trends without solely relying on overarching economic indicators.

    Druckenmiller is known for trusting his intuition, refined through years of experience and quick, decisive actions. His philosophy? “Invest first, analyze later.” He argues that taking an initial position upon identifying a trend is better than overanalyzing and missing potential gains. However, he’s equally unafraid to cut losses when a position underperforms, emphasizing the importance of emotional detachment from individual trades.

    Lessons from the Past: The Value of Big Bets and Risk Management

    Reflecting on trades like his historic short against the British pound in the early 1990s, Druckenmiller highlights the importance of conviction in high-stakes positions. When confident in a trade, he isn’t afraid to go big, a principle he learned from his mentor George Soros. This approach has led to some of his most successful trades, underscoring that in finance, it’s often “not about being right or wrong, but how much you make when you’re right.”

    This experience has made Druckenmiller adept at recognizing and quickly exiting losing positions. According to him, clinging to poor trades in hopes of a turnaround often traps investors, whereas quick exits allow for greater financial agility.

    The Power of Early Investing: AI, Tech, and Anti-Obesity Drugs

    Druckenmiller’s investment acumen is evident in his early positions in Nvidia and the AI sector. Noticing a shift among Stanford and MIT engineers from cryptocurrency to AI, he took a significant position in Nvidia even before AI became mainstream. His interest in tech extends to industries with high growth potential, like anti-obesity pharmaceuticals, where he identified a societal trend in Americans’ demand for convenient weight-loss solutions.

    Druckenmiller maintains that staying open to innovation is crucial but acknowledges that even seasoned investors face challenges in timing and identifying the most lucrative long-term plays.

    Advice for Young Investors: The Importance of Mentorship and Passion

    Druckenmiller advises newcomers to finance to seek mentors rather than MBAs, stressing the irreplaceable value of experience and guidance in honing investment skills. He believes those entering the field solely for monetary gain may lack the resilience required to endure market losses, which can be psychologically taxing. In his view, passion and persistence are critical, with success depending more on an insatiable curiosity than on financial motivation.

    Wrapping Up

    Stan Druckenmiller’s insights offer a masterclass in balanced investing, emphasizing the need for quick, informed decisions, openness to emerging trends, and an understanding of macroeconomic cycles. From inflation warnings to a nuanced view on the role of intuition, his strategies exemplify how financial wisdom, adaptability, and humility form the foundation of sustained success.

    In today’s volatile markets, Druckenmiller’s insights remind us that a successful investor isn’t just one who “beats the market”—it’s one who understands it deeply, stays grounded, and learns continuously.

  • Diverging Paths: Marks and Buffett’s Contrasting Investment Philosophies

    Diverging Paths: Marks and Buffett's Contrasting Investment Philosophies

    While Howard Marks and Warren Buffett share a deep respect for intrinsic value and long-term investing, their approaches diverge in several key areas. These differences, while subtle, offer valuable insights into the diverse strategies that can lead to success in the financial markets.

    Risk Management

    Marks is known for his emphasis on risk management and avoiding losses. He believes that “if we avoid the losers, the winners will take care of themselves.” This focus on capital preservation is evident in Oaktree’s investment strategies, which often involve buying distressed debt or other undervalued assets with a margin of safety. Buffett, while also risk-averse, is more focused on the long-term growth potential of his investments. He is willing to take on more concentrated positions in companies he believes have a durable competitive advantage, even if it means accepting more short-term volatility.

    Investment Philosophy

    Marks is a proponent of value investing, but he also emphasizes the importance of understanding market cycles and investor psychology. He believes that these factors can create opportunities for outsized returns, but they can also lead to significant losses if not properly understood. Buffett, on the other hand, is a more traditional value investor who focuses on buying high-quality businesses at reasonable prices. He is less concerned with market cycles and investor psychology, believing that the long-term performance of a business is the most important factor in determining its value.

    Investment Universe

    Marks, through Oaktree Capital Management, has a broader investment mandate than Buffett. Oaktree invests in a variety of asset classes, including distressed debt, real estate, and private equity. This allows Marks to take advantage of opportunities in different markets and to diversify his portfolio. Buffett, on the other hand, primarily invests in publicly traded stocks of large, well-established companies. He has a more concentrated portfolio than Marks, and he is less likely to invest in alternative asset classes.

    Communication Style

    Marks is known for his clear and concise communication style. He regularly publishes memos to his clients that share his insights on the market and his investment philosophy. These memos are widely read and respected in the investment community. Buffett also communicates regularly with his shareholders through his annual letters, but his writing style is more folksy and anecdotal. He often uses stories and analogies to explain his investment philosophy, and he is less likely to share specific investment ideas.

    The divergent paths of Howard Marks and Warren Buffett highlight the diverse approaches that can lead to success in investing. While their shared principles provide a solid foundation, their differences in focusing on macroeconomic factors, investment universe, portfolio concentration, investment style, and communication offer valuable lessons for investors seeking to develop their own unique strategies. By understanding these nuances, investors can tailor their approach to their individual risk tolerance, investment goals, and areas of expertise, ultimately increasing their chances of achieving long-term success in the market.

    If you want to know where Marks and Buffett converge on investment philosophy read this.

  • Converging on Investment Philosophy: Marks and Buffett’s Shared Wisdom

    In the world of investing, few figures command as much respect as Howard Marks and Warren Buffett. While their individual styles and approaches may differ, a careful analysis of their writings reveals a remarkable convergence of key investment principles. This exploration of the shared wisdom found in Marks’ memos and Buffett’s letters offers a roadmap for navigating the complexities of the market.

    Intrinsic Value: The North Star of Investing

    Both Marks and Buffett unequivocally stress the importance of intrinsic value as the bedrock of investment decisions. Intrinsic value, they argue, is the true worth of a business, determined by the present value of its future cash flows. This principle serves as a guiding light, leading investors toward assets that are genuinely undervalued and shielding them from the capriciousness of market sentiment.

    Long-Term Orientation: The Antidote to Short-Termism

    In a world often fixated on short-term gains and quarterly earnings, Marks and Buffett champion the virtues of long-term thinking. They recognize that true value creation is a gradual process, and succumbing to the allure of quick profits can lead to devastating consequences. By maintaining an unwavering focus on the long-term potential of their investments, they navigate through market turbulence and emerge stronger.

    Tuning Out Market Noise: The Path to Rationality

    The daily fluctuations of the market can be a source of anxiety for many investors. However, Marks and Buffett counsel against being swayed by the noise. They posit that short-term price movements are often fueled by irrational exuberance or fear, and astute investors should concentrate on the underlying value of their holdings, not the fleeting whims of the ticker tape.

    Margin of Safety: The Investor’s Fortress

    The concept of margin of safety is deeply embedded in both Marks’ and Buffett’s investment strategies. It entails acquiring assets at a substantial discount to their intrinsic value, creating a buffer against potential losses. This approach not only safeguards against downside risk but also amplifies the potential for extraordinary gains when the market eventually aligns with the investment’s true worth.

    Circle of Competence: Knowing Your Limits

    Both investors underscore the importance of operating within one’s circle of competence. This means investing in businesses and industries that you genuinely comprehend, acknowledging the boundaries of your knowledge. By adhering to this principle, Marks and Buffett sidestep costly errors and seize upon opportunities that others may miss due to a lack of understanding.

    Temperament and Discipline: The Investor’s Emotional Rudder

    Successful investing transcends mere intellect; it necessitates the cultivation of the right temperament and discipline. Marks and Buffett emphasize the significance of remaining patient, rational, and emotionally composed amidst market volatility. By eschewing impulsive decisions fueled by fear or greed, they maintain a steady course and make judicious choices that endure.

    Prioritizing Loss Avoidance: The Foundation of Winning

    While the pursuit of gains is a natural inclination for investors, Marks and Buffett prioritize the avoidance of losses. They understand that by safeguarding capital and mitigating downside risk, the winning investments will naturally reveal themselves over time. This prudent approach ensures that their portfolios are resilient and capable of withstanding market downturns.

    The Importance of Management: The Human Element

    Both investors acknowledge that the caliber of a company’s management team is a pivotal factor in its long-term success. They seek out companies helmed by competent, ethical, and shareholder-oriented leaders who are dedicated to creating value for their investors. By investing in companies with robust leadership, Marks and Buffett align themselves with the paragons of the business world.

    Opportunistic Investing: Seizing the Right Moment

    Marks and Buffett are opportunistic investors, perpetually vigilant for undervalued assets and market dislocations. They exercise patience, waiting for the right opportunities to emerge, rather than succumbing to the allure of fleeting trends. When the market presents them with a bargain, they act decisively and with unwavering conviction.

    Financial Strength and Conservatism: The Bedrock of Stability

    Both investors stress the importance of maintaining financial strength and eschewing excessive debt. They believe that a conservative approach is paramount for long-term survival and prosperity in the unpredictable world of investing. By prioritizing financial stability, they fortify their portfolios against unforeseen challenges.

    Skepticism of Forecasts: Embracing the Unknown

    Marks and Buffett share a healthy skepticism towards macroeconomic forecasts and market predictions. They acknowledge the inherent uncertainty of the future and the limitations of human foresight. Instead of relying on speculative prognostications, they concentrate on what is knowable and controllable, such as the intrinsic value of their investments and the quality of the businesses they own.

    Value Investing Philosophy: The Time-Tested Path

    Both Marks and Buffett are ardent proponents of the value investing philosophy, which entails acquiring assets at a discount to their intrinsic value. This approach, championed by Benjamin Graham and refined by Buffett, has consistently proven to be a reliable path to enduring investment success. By adhering to this philosophy, they consistently unearth and acquire undervalued assets poised to deliver superior returns over time.

    If you want to know where Marks and Buffett diverge on investment philosophy read this.

  • Assessing Existential Threats: Exploring the Concept of p(doom)

    TL;DR: The concept of p(doom) relates to the calculated probability of an existential catastrophe. This article delves into the origins of p(doom), its relevance in risk assessment, and its role in guiding global strategies for preventing catastrophic events.

    The term p(doom) stands at the crossroads of existential risk assessment and statistical analysis. It represents the probability of an existential catastrophe that could threaten human survival or significantly alter the course of civilization. This concept is crucial in understanding and preparing for risks that, although potentially low in probability, carry extremely high stakes.

    Origins and Context:

    • Statistical Analysis and Risk Assessment: p(doom) emerged from the fields of statistics and risk analysis, offering a framework to quantify and understand the likelihood of global catastrophic events.
    • Existential Risks: The concept is particularly relevant in discussions about existential risks, such as nuclear war, climate change, pandemics, or uncontrolled AI development.

    The Debate:

    • Quantifying the Unquantifiable: Critics argue that the complexity and unpredictability of existential threats make them difficult to quantify accurately. This leads to debates about the reliability and usefulness of p(doom) calculations.
    • Guiding Policy and Prevention Efforts: Proponents of p(doom) assert that despite uncertainties, it offers valuable insights for policymakers and researchers, guiding preventive strategies and resource allocation.

    p(doom) remains a vital yet contentious concept in the discourse around existential risk. It highlights the need for a cautious, anticipatory approach to global threats and underscores the importance of informed decision-making in safeguarding the future.

  • Exploring the Future of AGI: Ownership, Open-Source, and Global Collaboration

    The rapidly evolving landscape of Artificial General Intelligence (AGI) presents a unique set of challenges and opportunities. As we stand on the brink of significant breakthroughs, questions around ownership, development models, and global cooperation become increasingly pertinent. In this exploration, we delve into the key areas shaping the future of AGI.

    Ownership and Control: A Consortium Approach
    Defining and enforcing collective ownership of AGI technologies requires a novel approach. A consortium consisting of governments, academic institutions, and private entities, governed by an international agreement, is a feasible solution. This consortium would oversee AGI development standards and ensure equitable access, while preventing any single entity from gaining overpowering control.

    The Push for Open-Source AGI
    The promotion of open-source development in AGI is crucial for widespread innovation and accessibility. This can be achieved through strong community governance, dedicated funding, and incentives for businesses to participate. Open-source models offer transparency and collaborative opportunities, essential in the ethical development of AGI.

    Innovative Funding and Investment Models
    To support open-source AGI without leading to privatization, diverse funding models are required. These include public-private partnerships, philanthropic grants, and government funding. Crowdfunding and community-driven funding models also play a vital role, ensuring the decentralization and collective ownership of AGI projects.

    Global Collaboration and Governance
    International cooperation is crucial in the realm of AGI. Agreements similar to those in climate change or nuclear non-proliferation are necessary. Such treaties would focus on ethical standards, development guidelines, and fair distribution of AGI benefits. An international regulatory body could ensure compliance and manage disputes.

    Setting Universal Ethical Standards
    The ethical development of AGI necessitates clear guidelines, including principles like transparency, accountability, non-maleficence, beneficence, justice, and respect for autonomy. These should be developed with diverse global inputs, ensuring a universally acceptable ethical framework.

    Building the Right Technological Infrastructure
    A decentralized AGI system requires robust, scalable cloud computing infrastructures, advanced data processing capabilities, and high-speed internet. Blockchain technology could be utilized for decentralized governance and tracking contributions, ensuring secure and transparent operations.

    Enhancing Public Understanding and Awareness
    Improving public understanding of AGI is imperative. This can be achieved through educational campaigns, open forums, and media collaborations. Public involvement in AGI-related decision-making processes is also crucial for fostering a well-informed community.

    Adapting to Long-Term Visions and Needs
    AGI development must align with humanity’s evolving needs and values. This requires a flexible and sustainable approach, with regular reassessment of goals and stakeholder engagement. Adapting to societal changes and technological advancements is key in maintaining relevance and ethical alignment.

    Monitoring and Regulation in a Decentralized Landscape
    Effective monitoring of decentralized AGI systems is essential to prevent abuses and ensure compliance with global standards. Automated tools, regular audits, and a global reporting system, coupled with a robust international regulatory body, can help maintain ethical standards and transparency.

    Mitigating Risks in Decentralized AGI
    Decentralized AGI poses risks such as uneven development and challenges in standardization. Strategies to mitigate these risks include clear coordination guidelines, promoting equitable technology access, and establishing a global framework for governance and standardization.

    As we navigate the complexities of AGI development, a collaborative, open, and ethically-guided approach is essential. These considerations offer a roadmap for responsible AGI evolution, ensuring its benefits are equitably distributed and its risks thoughtfully managed.

    1. Ownership and Control:
      • Question: How can we define and enforce collective ownership of AGI technologies?
      • Answer: Collective ownership of AGI technologies could be defined through a consortium of governments, academic institutions, and private entities, operating under an international agreement. Legal frameworks can be established to ensure that no single entity has overriding control or ownership. This consortium could oversee licensing, development standards, and ensure equitable access to AGI technologies. Mechanisms like open licenses similar to those used in open-source software development could be adapted for AGI.
    2. Open-Source Frameworks:
      • Question: What are the most effective ways to promote and sustain open-source development in the field of AGI?
      • Answer: Promoting open-source AGI development can be achieved by establishing strong community governance, providing funding and resources specifically for open-source projects, and creating incentives for businesses to contribute to and use open-source AGI. Educational initiatives and public awareness campaigns can emphasize the benefits of open-source models, encouraging more developers and researchers to participate.
    3. Funding and Investment:
      • Question: What financial models can support the development of open-source AGI without leading to privatization or control by specific investors?
      • Answer: Funding models such as public-private partnerships, grants from philanthropic organizations, and government funding can support open-source AGI. Crowdfunding and community-driven funding models could also play a role. These models can be designed to ensure that funders do not gain disproportionate control over AGI projects, maintaining the open and decentralized nature of the initiatives.
    4. Global Collaboration and Governance:
      • Question: What international agreements are necessary to ensure global cooperation in the development and regulation of AGI?
      • Answer: International treaties and agreements, similar to those in climate change or nuclear non-proliferation, are needed. These agreements should focus on ethical standards, development guidelines, and the equitable distribution of AGI benefits. An international regulatory body could be established to oversee and enforce these agreements, ensuring compliance and resolving disputes.
    5. Ethics and Safety:
      • Question: What ethical guidelines should be universally adopted for AGI development?
      • Answer: Ethical guidelines should include principles such as transparency, accountability, non-maleficence (do no harm), beneficence (actively do good), justice (fair distribution of benefits and burdens), and respect for autonomy. These guidelines should be developed with input from diverse stakeholders, including ethicists, technologists, and representatives from various cultures and demographics.
    6. Technology and Infrastructure:
      • Question: What technological infrastructures are required to support a decentralized AGI system?
      • Answer: A decentralized AGI system would require robust, scalable, and secure cloud computing infrastructures, along with advanced data storage and processing capabilities. Blockchain technology could be utilized for decentralized governance and tracking contributions. Additionally, high-speed internet and interoperability standards are essential to ensure seamless integration and communication between different AGI systems and platforms.
    7. Public Awareness and Education:
      • Question: How can public understanding and awareness of AGI be improved to support decentralization efforts?
      • Answer: Public awareness can be enhanced through educational campaigns, open forums, and participatory workshops that demystify AGI and its implications. Collaborations with media, educational institutions, and public figures can help disseminate accurate information. Additionally, involving the public in decision-making processes related to AGI development and usage can increase awareness and support.
    8. Long-Term Vision and Adaptability:
      • Question: How can long-term goals for AGI be aligned with the evolving needs and values of humanity?
      • Answer: Long-term goals for AGI should be grounded in a vision of sustainable and ethical progress, aligning with the broader objectives of enhancing human well-being and societal advancement. This requires a flexible approach, with regular reassessment of goals based on societal changes, technological advancements, and ethical considerations. Stakeholder engagement and adaptive governance structures are key.
    9. Monitoring and Regulation:
      • Question: How can decentralized AGI systems be effectively monitored to prevent abuses and ensure compliance with global standards?
      • Answer: Effective monitoring can be achieved through a combination of automated surveillance tools, regular audits, and a global reporting system for ethical violations. An international regulatory body should be established to oversee compliance, with the power to enforce penalties for violations. Transparency in operations and decision-making processes is also vital for effective monitoring.
    10. Risk Management:
      • Question: What are the potential risks of decentralized AGI, and how can these be mitigated?
      • Answer: Potential risks include lack of coordinated response to AGI-related crises, uneven development and access, and challenges in establishing universally accepted standards. Mitigation strategies involve establishing clear guidelines for coordination, promoting equitable access to technology, and developing a robust global framework for standardization and governance. Regular risk assessment and contingency planning are also essential.