6 days ago

The Macro Legend Who Still Trusts Markets More Than Technocrats | Barry C Knapp

Before you read or listen to this absolute masterclass with Barry C Knapp, I encourage you to share, restack, and subscribe to Barry C. Knapp’s research through Ironsides Macro and follow his work on Substack for institutional-quality macro strategy made accessible to sophisticated individual investors, wealth advisors, RIAs, family offices, and allocators. The worldview, his career arc, and the work. Barry’s research translates macroeconomic history, monetary policy, sector positioning, credit markets, and long-term capital-spending cycles into practical portfolio guidance. His work includes specific sector allocations relative to the S&P 500, asset-allocation views across stocks and bonds, and longer-term secular frameworks designed to help investors distinguish between a tactical trade and a five-year investment thesis. His current year-ahead outlook is available outside the paywall on the Ironsides Macro website, and his paid research is designed to bring the kind of analysis once reserved for institutional desks to a much broader investing audience. This conversation is educational and should not be treated as personalized investment, legal, tax, or financial advice. Markets involve risk, forecasts can be wrong, and listeners should conduct their own diligence or consult qualified professionals before changing a portfolio. The Soccer Player Who Became a Macro Strategist Barry C. Knapp did not go to college planning to become one of the most recognizable macro strategists of his generation. He thought he was going to play professional soccer. That is where I wanted to begin our ATOMIQ LEVEL conversation, because before the frameworks, the television appearances, the institutional research, the derivative desks, the Lehman years, and Ironsides Macro, there was a young man whose first serious ambition had nothing to do with markets. Barry grew up as the son of an electrical-engineering professor at the University of Connecticut. He was raised in a university town, surrounded by the children of academics, in an environment where ideas were constantly being proposed, tested, defended, and challenged. That atmosphere gave him what he describes as a healthy skepticism toward ideas delivered with too much certainty. He went to the University of Rhode Island because its soccer program was ranked sixth in the country. Ivy League coaches had written to him, but Rhode Island had beaten Connecticut, and Barry believed soccer was the path. Then the North American Soccer League collapsed during his senior season. No draft. No professional contract. No future in the direction he had been running. Barry jokes that this may have been fortunate because he would have starved. But there is something important in the way a life changes when the first dream closes before the second one is visible. A high-school guidance counselor had suggested economics. Barry took Macro 101. The lights went on. He began reading The Wall Street Journal every day during one of the most intellectually and economically consequential periods of the modern era. Paul Volcker was driving policy rates toward 20%. Milton Friedman and Paul Samuelson were publicly debating competing economic worldviews. The country was wrestling with inflation, monetary credibility, the role of government, and whether markets or planners were better suited to allocate resources. Barry sided with “Uncle Milty.” He embraced classical economic liberalism and the belief that markets generally allocate capital more effectively than elite technocrats. That belief has survived almost everything that followed. The Paper That Explained the Man One of my favorite moments in Barry’s story came from a college class on the history of economic thought. The professor had earned his doctorate at Berkeley, described himself as a former Marxist, and had become a follower of Thorstein Veblen, whose work questioned conspicuous consumption and argued that government should play a role in determining which forms of production meaningfully benefit society. Barry wrote his final paper in defense of the scientific method. He referred to Milton Friedman as “Uncle Milty.” He called Veblen a “normative stick in the mud.” That was not exactly the safest route to an A. He received one of three A grades in a class of approximately sixty students. Years later, after Barry’s father had died, his mother found the paper and sent it to him. The essay had become an artifact from an intellectual culture where a professor could reward a strong argument even when the argument attacked the professor’s own worldview. That paper helps explain Barry better than a résumé. He is not contrarian merely to appear different. He is interested in the structure beneath the consensus. He wants to know what assumptions are being smuggled into the conclusion, what historical analog is actually relevant, where the incentives sit, and which part of the prevailing framework is likely to fail when it touches reality. That instinct would serve him well on Wall Street. Arriving in New York Without a Map Barry arrived in New York without connections. He took a job as a financial advisor at Merrill Lynch in the Fifth Avenue Financial Complex. He looked around an office of roughly eighty brokers and asked himself a practical question: Who do I want to become when I grow up? His answer was none of them. So he pursued an MBA at night. He was taking classes during the 1987 market crash while also running a small trading desk for Fidelity Investments in its first New York branch. Imagine learning financial theory in the classroom while the market was teaching its own curriculum in real time. That collision between formal economics and live market structure became part of Barry’s professional DNA. He eventually joined Lehman Brothers on the derivatives desk and spent approximately fifteen years in institutional equity derivatives, covering macro hedge funds and major quantitative managers. He was early in the growth of indexation and quantitative investing, a period that now carries a degree of historical irony. Barry mentions the work of Michael Green and admits that he sometimes feels a little guilty about the distortions passive investing may have created because he participated in the industry’s earlier development. But guilt is not the real takeaway. The experience gave him a front-row seat to how large pools of capital move. Not how they are described after the fact. How they actually move. He became a managing director at Lehman in 2000, began trading the firm’s capital, and was repeatedly asked to move into research. In 2008, just before Lehman failed, he became the equity strategist. That sentence alone contains an entire education. The strategist who lived through Lehman There are people who studied the financial crisis. Barry worked inside one of its central institutions. After Lehman’s collapse, he continued in the strategy role at Barclays for six years. He later worked with Rick Rieder at BlackRock in an effective research-leadership capacity and reunited with former Lehman colleagues at Guggenheim Securities to develop a macro product. Then, in 2019, he founded Ironsides Macro. The professional arc runs through derivatives, portfolio management, proprietary trading, equity strategy, fixed income, credit, institutional research, television, and independent publishing. But the underlying worldview is remarkably consistent. Barry believes markets are generally superior allocators of resources. He distrusts policy frameworks that suppress price signals, distort capital allocation, and shift risk outside the area regulators believe they control. He also believes investors need more than a reaction to the next headline. They need a framework. That is the gap Ironsides Macro was built to fill. Making Institutional Research Approachable Barry’s traditional audience had been institutional. At Barclays and Guggenheim, his work was designed for sophisticated investment professionals, hedge funds, large asset managers, portfolio managers, and institutional clients. The material could be dense because the readers lived inside the language. At the same time, Barry was a frequent guest on CNBC, Bloomberg, and Fox Business. Television taught him how to translate complicated subjects into something an intelligent viewer could understand without flattening the substance. When he launched Ironsides, he wanted both. Institutional quality. Broader accessibility. His research still serves institutional clients, but it is deliberately written for sophisticated individual investors, wealth advisors, RIAs, and family offices who want the underlying framework rather than a collection of stock tips. Barry does not tell readers to buy Apple and sell Meta. He tells them where to be sector-by-sector. He gives specific weightings relative to the S&P 500. Twenty-five percent technology instead of thirty-eight. A defined exposure to communication services. A view on financials, industrials, credit, Treasuries, mortgage-backed securities, and the appropriate part of the yield curve. The strategy can be implemented using ETFs. That is important because it makes the work actionable without forcing the reader to replicate an institutional trading desk. Barry uses the same macro process with his own money. He does not buy individual stocks. The portfolio expression follows the framework. The capital group lesson During his years as Barclays’ equity strategist, Barry met an experienced Capital Group portfolio manager who offered him a piece of advice that changed the time horizon of his work. The macro hedge funds Barry covered often cared about the next few months. They wanted to identify the trade, ride the move, and change direction when the setup changed. The Capital Group manager wanted something else. Tell me which secular trends will persist for five years. That question stayed with Barry. Today, his work separates t

1hr 48min

24 Jun

Investing in a Tripolar World: Why Global Markets Are Shifting Beyond U.S. Dominance|Jay Pelosky

Subscribe to Jay Pelosky’s The Tripolar World on Substack to receive his weekly Friday Musings, monthly global-macro deep dives, thematic research, charts, and thinking on how capital is moving across Asia, Europe, and the Americas. Who is the man behind the writing? Jay and TPW Advisory provide global investment strategy, asset-allocation research, and model-portfolio insights built around a thesis he has been developing for more than 15 years: the world is not simply becoming multipolar, bipolar, or less global. It is reorganizing into three increasingly self-reliant regional systems. * Asia. * Europe. * The Americas. Each is being pushed to develop the ability to finance, produce, secure, power, and consume more of what it needs within its own regional orbit. This conversation is educational and should not be treated as individualized investment, tax, legal, or financial advice. Markets involve risk, forecasts can be wrong, and investors should conduct their own diligence and consult qualified professionals before changing a portfolio. A “Rising Star” after 40 Years in the business Jay Pelosky laughs when I introduced him as a rising star climbing the bestseller chart in finance on Substack. He has been in the investment business for nearly 40 years. There is something almost perfect about that contradiction. In a media economy built to reward novelty, Jay arrives as a reminder that some of the most valuable ideas are not born in a viral moment. They are earned through cycles. They are tested in crises. They are sharpened by public mistakes, institutional constraints, changing regimes, and the humility that comes from watching a confident forecast collide with reality. Jay’s ascent on Substack may look new. The thinking behind it is anything but. His story begins in the emerging markets of the late 1980s and early 1990s, when the category was still young enough that expertise could be assigned as much as acquired. He joined Morgan Stanley’s asset-management business in 1990 as a non-Japan/Asian emerging-market specialist and was almost immediately asked to launch a Brazil fund. That assignment sent him to Latin America. He helped launch the Brazil Fund and a regional Latin American discovery fund before moving to the sell side as a Latin American equity strategist. Then came Mexico. Jay had returned from vacation and written a research piece called “Bear in the Woods.” The title borrowed from the primal fear of hearing something rustling outside a tent. His message to investors was essentially that the noise was real, but the feared devaluation was not coming. Two weeks later, the Mexican government announced the peso devaluation. Jay woke to find himself on the front page of The Wall Street Journal’s business section as the poster child for Wall Street getting Mexico wrong. There are easier ways to learn humility. Few are more effective. The mistake did not end his career. It became part of the education that shaped it. Jay moved from Latin American research into global emerging-market strategy, then global equity strategy, and eventually developed and ran Morgan Stanley’s flagship global asset-allocation research product. That mandate covered everything. Stocks. Bonds. Currencies. Regions. Fundamental research. Technical research. Quantitative research. It also put Jay inside rooms filled with dozens of extremely intelligent people, each responsible for defending a market, region, asset class, or analytical discipline. The result was rigorous, but it taught him something about the institutional consensus. When 30 smart people must agree on one view, the final view often becomes the one everyone can tolerate. It may be sound. It may be useful. But it is rarely the sharpest, most contrarian, or most personally accountable conclusion in the room. Years later, Jay would remove 29 people from that meeting. The view would become his. And his own capital would ride on it. From the Front Page to a Framework Jay left Morgan Stanley in the early 2000s and spent the next two decades managing his own capital, largely through ETFs, using the global asset-allocation principles he had helped develop inside the firm. Around 2010, he began returning more publicly to the work. That return eventually became TPW Advisory, with TPW standing for The Tripolar World. The thesis began with a question about what would replace the global operating system that had just fractured. The Global Financial Crisis had broken the globalization of finance. Nationalism was rising as a proposed answer, but Jay believed nationalism would fail because no individual country possesses everything it needs. Countries depend on external energy, capital, food, technology, manufacturing capacity, raw materials, markets, and defense relationships. His alternative was regional integration. Not a world governed by one hegemon. Not merely a G2 contest between the United States and China. Not a shapeless collection of dozens of disconnected powers. Three regional poles. * Asia. * Europe. * The Americas. For each pole to deepen, it would need to become increasingly capable of doing three things: * Self-finance. * Self-produce. * Self-consume. Those three verbs become the operating spine of the entire interview. They are simple enough to remember and expansive enough to challenge nearly every comfortable assumption in an American investor’s portfolio. Can the region finance its own growth? Can it produce enough of what its people and industries need? Can its population generate sufficient internal demand to consume what it produces? Jay is not arguing that any region has already achieved perfect independence. He is arguing that events are forcing each one to move in that direction. Brexit showed the cost of leaving a regional bloc and assuming a nation could flourish alone. COVID exposed the fragility of globally stretched supply chains. Trade conflict revealed how quickly semiconductors, rare earths, food, energy, and industrial inputs could become political weapons. War reminded Europe and Asia that defense capacity outsourced to the United States may not arrive when expected. Artificial intelligence introduced a new form of sovereignty: the need for regional compute, power, chips, models, data, and infrastructure. The old world optimized for efficiency. The emerging world is paying for resilience. That shift is expensive. It may also define the next investment cycle. This conversation challenged the host’s paradigms This is not an interview in which I politely escort a guest through a shared and prepared mutual thesis. I pushed. I tested him. I disagreed. At one point, I offered what sounds like an obvious American advantage: the United States can self-finance because the dollar remains the global reserve currency and the country sits at the center of the world’s financial system. Jay stopped me. “No!” The United States cannot truly self-finance, he argues, because foreign investors own a major share of the Treasury market and a significant portion of American equities. The country runs a historically large fiscal deficit in peacetime and near-full employment. It issues enormous quantities of debt and increasingly relies on short-term instruments that must be rolled over more frequently. Foreign capital helps fund the system. The mechanism is familiar. The United States imports more than it exports. Trading partners receive dollars and recycle those dollars into Treasury securities and American assets. For 15 years, the U.S. stock market’s exceptional performance made that recycling especially attractive. But what happens when the rest of the world offers stronger relative value? What happens when global earnings converge? What happens when international capital no longer assumes the highest return must be found in the United States? That is where Jay’s thesis becomes investable rather than merely geopolitical. The United States trades at a substantial valuation premium. Emerging markets trade at a substantial discount. Yet Jay points to forecasts suggesting that emerging-market earnings growth in 2026 and 2027 may be roughly comparable to U.S. earnings growth. Emerging economies may also offer higher GDP growth, lower inflation in aggregate, and better fiscal positioning than the market’s stereotype suggests. The implication is uncomfortable for portfolios built around permanent American exceptionalism. If the earnings streams converge, why should the valuations remain so far apart? Jay expects the gap to close from both directions: the U.S. premium compressing and international valuations rising as global income, growth, and earnings become less unequal. In plain English, investors may be paying twice as much for an increasingly similar earnings stream simply because one carries an American label. Jay’s answer is direct. He will buy the discounted earnings stream all day long. Three favors before you continue Hit the ❤️. The algorithm is a validation addict and rewards those who beg for your cheap dopamine hit, so thanks in advance. I don’t need it, but the algo does for Jay and me to stay in your feed :) Hit the 🔄 restack. Somebody in your network is two weeks selling May and going away for the Summer but it’s time to wake them up from their Mai Tai nap. Get them up. Hit 📤 share. You know exactly one person who needs to challenge their thinking today with something different. Drop a comment. I read every reply (even the trolls), and this one is sure to bring out a few if we get the party started :) The Three Things Global Macro Investors Need Jay eventually brings the debate back to the operating system beneath his work. To invest successfully across global macro, he believes a person needs three things. * A framework. * A process. * A structure. The framework is the Tripolar World. It prevents the investor from being pulled toward every headline, crisis, election, commodity spike, geopolitica

1 hr

11 Jun

The Faceless Trader Beating the Biggest Names in Finance

Before you read or listen, make sure you never miss another insight and subscribe to James Bulltard on Substack here: This conversation is for experienced traders, active investors, financial professionals, family offices, advisors, and market participants who understand that markets are not moved only by stories. They are moved by flows. By levels. By positioning. By machines. By institutions. And most importantly… By the difference between knowing a company is good and knowing where the trade actually is. DISCLAIMER: This episode is educational and should not be treated as investment, trading, financial, legal, or tax advice. Always do your own research, and talk with your advisor before putting any real money on the line. Options trading involves substantial risk and is not appropriate for every investor. Do your own diligence, understand your own risk tolerance, and consult a qualified professional before acting. TL;DR Key Takeaways James Bulltard is one of the most unusual finance voices on Substack because he has built the highest-conversion “paid community” on Substack around transparency, options flow, technical levels, and a blunt refusal to waste people’s time. He began learning markets as a kid on Yahoo message boards in the 1990s, long before FinTwit, Discord, Substack, or AI-powered workflows existed. His early market education came the hard way: buying names, losing money, getting his teeth kicked in, and eventually having someone explain technicals in a way that made the whole game click. His core operating belief is that a chart either looks good or it does not. That does not mean fundamentals do not matter. It means timing, levels, flows, and price action matter deeply when someone is trying to trade, rather than simply “own” for decades. James is not a day trader in the frantic sense. He says he rarely makes moves and is highly calculated when he does. The 21 EMA, or 21-day exponential moving average, is central to his framework. In his view, when a name or index is above the 21 EMA, traders can press. When it breaks below, short-term risk changes. He keeps his charts simple: 8 EMA, 21 EMA, 50-day, 100-day, and 200-day moving averages. James believes every stock is a buy somewhere on the chart. The mistake many investors make is believing every good stock is a buy at every level. His edge is not merely options data. All options data comes from the same core source. His edge is how he filters it, manually logs what he finds relevant, and applies a rules-based process to identify trades that matter. He personally logs roughly 150 to 160 relevant trades per day, then uses his database and AI to build better trade structures around the institutional flows he sees. He does not see AI as replacing his judgment. He uses it to scale his rules and apply his parameters across more names than he could manually analyze alone. His community includes roughly 2,500 people in Discord, including traders across a wide range of account sizes and a meaningful number of finance professionals. He openly shares his book, entries, exits, and positioning, which he believes is one of the reasons his community trusts him. The mission began in 2022 with a desire to level the playing field for retail investors who were getting bad information from online “furus” claiming magical entries and exits without real transparency. His view of the market is simple but not simplistic: institutions leave footprints, machines trade levels, and the individual trader’s job is to stop guessing and start reading where the largest players are actually acting. The deeper story is that James Bulltard is both avatar and human: a private person who keeps his face offscreen, but has built trust by showing the thing most finance personalities hide. The book. Why You Should Listen This ATOMIQ LEVEL conversation with James Bulltard is not just a trading interview. It is a rare look inside the operating system of a private trader who has built one of the most compelling paid finance communities on Substack by doing the opposite of what most internet market personalities do. He does not lead with lifestyle theater. He does not sell certainty. He does not pretend every chart is a mystery. He does not waste time dressing up a weak setup with a good story. He opens the book. He shows the work. He lets the market judge. James came up in the old world of Yahoo message boards, where the internet was rougher, slower, and less performative, but still full of the same human impulses that define markets today: greed, fear, ego, hope, confusion, conviction, and the painful education of losing money before learning what the tape is actually saying. That is where his worldview started. Not in a polished institutional training program. Not in a bank analyst class. Not in a YouTube course. In the messy early internet, as a kid trying to understand why stocks moved and why his own trades kept going wrong. Then someone taught him technicals. And it clicked. Three decades later, he has turned that original click into a rules-based workflow that combines moving averages, institutional options flow, manual filtering, AI-powered database analysis, and a Discord community full of people who want one thing: An edge. The conversation matters because it sits at the intersection of several powerful themes at once: retail access, institutional footprints, AI leverage, trust as a moat, Substack as a business model, and the difference between being a market commentator and being someone whose actual trades can be seen. It is also a conversation about humility in a strange form. James is blunt, sometimes brutally so. He will tell people that if they cannot make money with the information he is putting in front of them, maybe this game is not for them. But beneath the bluntness is a deeper respect for the market. He is not pretending the market owes anyone anything. He is saying the data is there, the levels are there, the flow is there, and the individual trader has to decide whether they are willing to learn how to read it. Press play on this episode if you want to understand why one anonymous avatar has become one of the most effective paid finance publishers on Substack, how he thinks about the 21 EMA, why he believes options flow offers a live view into institutional intent, and how AI is letting one human’s rules scale across a market that never stops moving. Because in James Bulltard’s world, the chart either looks good or it does not. And the tape does not care about your story. The Avatar Who Opened the Book James Bulltard, Data Driven Puts, and the Trust Moat Behind One of Substack Finance’s Fastest-Rising Voices Before James Bulltard became one of the most compelling finance voices on Substack, before the Discord community, before the database, before the AI workflows, before the paid subscribers, before the MarketStack rankings, before the avatar became a recognizable presence inside the finance ecosystem, he was a kid on the Yahoo message boards. That detail matters. Because before there was FinTwit, before there was Substack, before there were influencer threads, Discord rooms, algorithmic feeds, live options dashboards, and AI copilots, there were message boards full of strangers trying to figure out the same old game. What is moving? Who knows something? Why did this stock break? Why did this one run? Why did I buy it right before it fell? James was young, curious, and interested in stocks before he fully understood what he was doing. Like many early market obsessives, he learned first through pain. He bought things. He lost. He got his teeth kicked in. He did not yet understand why some stocks were strong, why others were weak, why a good company could still be a bad trade, or why conviction without timing can become very expensive. Then somebody reached out and explained technicals. And something in him clicked. Not partially. All at once. From that point forward, James began seeing the market differently. A chart was no longer just a picture of where price had been. It became evidence. It became a visual expression of buying, selling, pressure, strength, weakness, positioning, and probability. That is the first key to understanding James Bulltard. He is not trying to make markets mystical. He is trying to make them readable. The Bluntness Is the Brand There is a reason James’s subscribers respond to him. He does not waste time. In his own words, a chart either looks good or it does not. That bluntness is not a performance gimmick. It is part of the operating system. James is not interested in spending twenty minutes explaining why a stock should go higher if the chart is already saying something else. He has very little patience for the kind of market commentary that dresses up uncertainty with confidence or turns every setup into a narrative. That is why this conversation becomes useful quickly. Chris frames the tension between two investing temperaments: the fundamental investor who wants to own great businesses for the long haul, and the technical trader who understands that a great business is not always a great investment at every price. James does not reject the idea that great companies can compound over time. In fact, he says it does not take a rocket scientist to know that buying great companies like Amazon or Google can work over long stretches. But that is not the hard part. The hard part is knowing when the name is strong. When it is weak. When to press. When to step aside. When the short-term trade has changed, even if the long-term story still sounds beautiful. That is where technicals matter. That is where James lives. The 21 EMA as the Line in the Sand Every serious market participant eventually develops a few lines they trust more than others. For James, one of those lines is the 21 EMA. The 21 exponential moving average is, in his words, the most important moving average in the market. He describes it as rough

1hr 7min

3 Jun

The Relativity Trap: Why Markets Feel Broken Until You Understand Where Capital Runs

Before you listen/read or watch, make sure you subscribe to Brent Johnson and Santiago Capital on Substack here: And subscribe to Brent’s YouTube channel, The Milkshakes Pod, here: TL:DR Key Takeaways Brent’s work sits at the intersection of global macro, monetary history, capital flows, currency markets, gold, Bitcoin, sovereign debt, and the strange gravity of the U.S. dollar. He is best known for the Dollar Milkshake Theory, but this conversation is not just about a theory. It is about the man behind it. It is about the kid from western Nebraska who used to look up at airplanes and wonder where everyone was going, then grew up to build a framework for understanding where the world’s money goes when the system starts to shake. Brent Johnson grew up in a small town in western Nebraska, far from Wall Street, finance, trading desks, and investment accounts. His father was an insurance salesman who worked for himself, which gave Brent an early model of independence, self-reliance, and eating what you kill. He was not drawn to finance because he loved finance. He was drawn to finance because he was already fascinated by the world. As a kid, Brent remembers looking up at planes flying overhead and wondering where the people on them were going. Years later, while flying from San Francisco to New York, he realized the flight path passed directly over the town where he grew up. His early influences included history, storytelling, Michael Lewis’s Liar’s Poker, and the movie Wall Street. Those influences pulled him toward markets, but experience eventually taught him that Wall Street is not a place where the official story is always the truth. One of Brent’s mentors, Simon Baker, taught him how to take the work seriously without taking himself too seriously. That lesson shaped how Brent survived the stress of markets without losing his humor. A pivotal meeting before the Global Financial Crisis changed his career. A young, newly wealthy couple asked Credit Suisse executives simple but devastating questions about mortgage derivatives, real estate, hedging, and counterparty risk. Brent realized the clients understood the danger better than the people who were supposed to be the experts. That meeting pushed Brent to stop repeating the company line and start thinking for himself. He went back to textbooks, blogs, gold forums, Austrian economics, monetary history, and late-night self-study to understand how the monetary system actually worked. The Dollar Milkshake Theory emerged from that long process. Brent came to see global finance as a relative game, where capital does not necessarily flow to the perfect place. It flows to the least bad place. His core insight was that even though the U.S. dollar and U.S. system have serious problems, the rest of the world often has the same problems with fewer structural advantages. Because global debt, trade, funding, and settlement still depend heavily on dollars, stress can increase demand for dollars rather than reduce it. The “milkshake” analogy came from There Will Be Blood: the U.S. has the biggest straw in the global system and can suck liquidity back into its own markets when the world prints money. Brent originally expected the framework to lead to a sovereign debt and currency crisis by 2024. He openly says that his specific timing call was wrong. But he argues that many other implications of the framework have played out: higher interest rates, falling bond prices, higher gold prices, U.S. equity resilience, and continued dollar importance. The framework has helped him remain invested rather than frozen in permanent crash fear. His approach is not to sit out markets waiting for collapse, but to own diversified assets while maintaining downside protection. Brent’s portfolio worldview includes equities, real estate, gold, cash, and risk management. He sees gold not mainly as a de-dollarization trade, but as a response by countries and investors fleeing weakness in their own currencies. A major theme is that de-dollarization is much harder than most people assume. The dollar’s network effects are embedded across trade, funding, liabilities, offshore demand, and global balance sheets. Brent is preparing a major research paper called The Band, focused on why the dollar is so difficult to replace and why the global economy needs the dollar index to remain inside a functional range. The deeper message: you do not need to agree with every timing call Brent has made to benefit from the framework. The value is learning how to see global markets through flows, relativity, incentives, balance sheets, liquidity, and the hidden plumbing beneath the headlines. This ATOMIQ LEVEL conversation with Brent Johnson is not just a macro interview. It is a story about a man who grew up far from the money centers of the world, became fascinated by where people were going, entered Wall Street through curiosity rather than pedigree, and eventually built one of the most debated monetary frameworks of the last decade. It is about a kid in western Nebraska looking up at planes. It is about a young advisor in New York walking across the city with an $18 million stock certificate in his briefcase and feeling, for one moment, like he owned the world. It is about the intoxicating draw of Wall Street, the danger of repeating the company line, and the moment when a client’s simple question exposes that the so-called experts may not understand the machine they are standing inside. It is about the long, lonely work of thinking for yourself. It is about why the dollar is not strong because America is perfect. It is about why capital often runs toward the least broken system when the rest of the world begins to crack. It is about gold, Bitcoin, U.S. equities, real estate, liquidity, protection, risk, humility, and what it means to manage money when your framework is useful but your timing is never guaranteed. Most of all, this conversation is about the difference between certainty and confidence. Brent is not saying he has everything perfectly figured out. In fact, one of the most important parts of the conversation is his willingness to say where he got something wrong. But he has spent nearly two decades thinking about the dollar, the monetary system, global flows, and crisis dynamics for hours a day. That kind of work does not produce certainty. It produces earned conviction. Press play on this conversation with Brent Johnson of Santiago Capital if you want to understand why the dollar still matters, why de-dollarization is harder than the headlines suggest, why gold can rise without the dollar dying, and why a good macro framework should help you stay invested without pretending risk has disappeared. Because the world’s money is always going somewhere. The question is whether you understand where it runs when fear takes over. Τhe Human Story Behind the Dollar Milkshake Theory Before Brent Johnson became one of the most recognizable voices in global macro, before the Dollar Milkshake Theory became a phrase people argued about across podcasts, Substack threads, YouTube comments, and finance Twitter, before he became a person investors either loved, hated, misunderstood, or quietly stole from, he was a kid in western Nebraska looking up at airplanes. That is where the story begins. Not on Wall Street. Not in a trading pit. Not with a Bloomberg terminal. In a small rural town where people worked on ranches, farms, the railroad, or in local businesses. His father sold insurance across western Nebraska and eastern Colorado. He worked for himself. He drove long distances. He carried the old independent salesman’s lesson that nobody owes you anything, and whatever you eat is usually connected to what you kill. Brent absorbed that. But he also wanted to see the world beyond the town. He was not running from home. In fact, he speaks warmly about where he grew up. He did not hate the small town. He simply sensed that there was more out there. He would read the local newspaper hungry for information about places beyond western Nebraska. He loved history because history was story, and stories were how his mind held the world together. Then there were the planes. He remembers standing outside, looking up at them, and wondering where the people were going. Years later, living in San Francisco and flying to New York for work, he realized that the route passed directly over that same little town. From the window of the plane, he could look down and see where he had once stood. He wondered if another kid was looking up. That image is the emotional key to this episode. The man who built a theory about where global capital flows began as a boy, wondering where people were going. Finance Was the Vehicle, Not the Destination Brent makes an important distinction early in the conversation. He did not become interested in the world because he was interested in finance. He became interested in finance because he was already interested in the world. That difference matters. Some people enter markets because they love the scoreboard. Brent entered because finance became a way to study politics, history, trade, incentives, capital movement, human behavior, fear, ambition, and the power structures underneath everything else. He could do the math. He could calculate ratios. He could understand accounting. But he was never merely a decimal-point person. He was a big-picture thinker, a pattern reader, a storyteller trying to understand why the system moved the way it did. That is part of what makes his work compelling. It is not sterile macro. It is narrative macro. It asks: What is the story underneath the flows? The Bad Influences That Told the Truth Like many people who found their way into Wall Street in that era, Brent was shaped by some influences that were never meant to be instructional manuals. He read Michael Lewis’s Liar’s Poker. He watched Wall Street. He absorbed the mythology of Gordon Gekk

1hr 29min

1 Jun

The Fund Manager Who Saw Silicon Valley Before It Had a Name

Connect with Eric Munson and Adit Ventures Before you watch/listen or read, connect with Eric Munson and learn more about Adit Ventures here:www.aditventures.com Overview Eric Munson’s career sits inside one of the most consequential arcs in modern finance and technology: from the fruit orchards of early Silicon Valley to Fairchild Semiconductor, from Genentech and Apple IPO history to Palantir, Spotify, SpaceX, defense technology, AI, big data, cyber, fintech, healthcare, and the private markets shaping the next generation of wealth creation. His story is not just about venture capital. It is about pattern recognition. It is about what happens when someone grows up close enough to innovation to understand that every great technology wave looks obvious only in hindsight. TL;DR Key Takeaways Eric Munson began life in Brooklyn before his family moved to Silicon Valley in 1971 when his father went to work for Fairchild Semiconductor, one of the foundational companies in both semiconductor history and venture-backed company formation. Fairchild became a seedbed for generations of Silicon Valley legends, including people who would later help create Kleiner Perkins, Sequoia, Intel, and much of the modern venture ecosystem. Eric later worked at Hambrecht & Quist, where he had a front-row seat to the public market emergence of companies like Genentech and Apple, watching Silicon Valley evolve from agricultural orchards into the innovation capital of the world. His personal and professional story also carries deep emotional weight. His family lost loved ones on 9/11 through Cantor Fitzgerald, which later shaped his conviction around Palantir’s mission and the importance of technology that can protect families from a similar tragedy. Adit Ventures was built from modest beginnings. The original 2014 partnerships started small, with roughly a dozen investors and around $1.5 million to $2 million, focused initially on Palantir and Spotify. Over time, Adit deployed approximately $300 million of client capital, alongside about $35 million of its own capital, and returned more than $3 billion in cash and securities to investors. Eric’s investment philosophy has remained consistent for decades: back the best entrepreneurs and managers building tools, solutions, and technologies that change how people live. Adit’s long-term secular themes include AI, big data, cloud, cybersecurity, defense technology, educational technology, financial technology, healthcare, space, and other transformational categories. Eric argues that AI may become the largest innovation wave he has seen because it transcends and compounds prior waves, including chips, PCs, mobile, software, cloud, and the internet. He does not believe AI will lift every boat. Like the early internet, the first visible winners may not be the lasting winners. The most durable value may come from application-layer companies that use AI to solve specific problems in government, healthcare, defense, enterprise operations, education, and other verticals. Eric emphasizes that venture remains a people business. Quantitative metrics matter, but qualitative judgment may matter even more. His 10-step evaluation process includes five quantitative factors, such as growth potential, margin profile, scalability, competitive threats, and business economics, and five qualitative factors, including whether the company serves its customers, employees, shareholders, and the broader community. Leadership matters. Eric repeatedly returns to character, courage, ethics, integrity, resilience, and the ability of founders to navigate difficult cycles. He sees long-term investing as the only real way to capture the value of generational companies. Speculation and day trading are not how he built wealth. He believes the private markets may continue offering mispriced opportunities, especially when fear, uncertainty, liquidity needs, secondary share availability, and timing create discounts in companies tied to long-term secular themes. His optimism is grounded, not naive. He worries about the loss of humanity, individual rights, and ethical guardrails, but he remains deeply bullish on the human spirit, adaptation, technology, healthcare innovation, education, and the democratization of opportunity. The deeper message: wealth creation in the next era will not come from chasing every hype cycle. It will come from finding the people and companies that turn enduring technology waves into lasting human value. Why You Should Listen This ATOMIQ LEVEL conversation with Eric Munson is not just a venture capital interview. It is a living bridge between the origin story of Silicon Valley and the next wave of AI-driven wealth creation. It is about a man whose father worked at Fairchild Semiconductor, who grew up watching fruit orchards turn into the most important innovation ecosystem in modern history, who learned the craft of capital markets around firms like Hambrecht & Quist, and who later built Adit Ventures by finding private market access to companies like Palantir, Spotify, SpaceX, Airbnb, Lyft, Robinhood, Anduril, and other category-defining technology businesses. It is also a story shaped by loss. Eric’s connection to Palantir is not merely financial. After losing family members on 9/11, he understood the human value of software that could help prevent future families from experiencing that kind of devastation. That context gives his investing worldview a seriousness that goes beyond returns. Yes, this episode gets into venture performance, private market secondaries, AI, cyber, defense tech, founder evaluation, valuation discipline, and long-term secular themes. But beneath the numbers is a deeper question: How do you identify the companies that actually matter before the world agrees they matter? Eric’s answer is not hype. It is not momentum chasing. It is not pretending that every AI company deserves a premium. It is a long-term discipline built around founders, markets, timing, character, technology waves, customer need, and the courage to own what the crowd doubts. This conversation is for investors, founders, advisors, family offices, entrepreneurs, and anyone trying to understand how private market access, AI disruption, secondary liquidity, and generational technology cycles may shape the next decade of wealth. Because the next great companies are already being built. The question is whether you know how to recognize them before they become obvious. The Pattern Recognition Behind Generational Technology Investing Before Eric Munson became the founder behind Adit Ventures, before he helped deploy hundreds of millions of dollars into private technology companies, before Palantir, Spotify, SpaceX, Airbnb, Robinhood, defense tech, AI, and big data became part of his investing vocabulary, he was a kid from Brooklyn whose life changed when his family moved west. It was 1971. His father had taken a job at Fairchild Semiconductor. At the time, Silicon Valley was not yet the polished myth that founders, allocators, and technology tourists now talk about with near-religious reverence. It was still agricultural land, fruit orchards, engineering talent, semiconductor ambition, military and government demand, and a cluster of people who did not yet know they were building the future. Eric saw that transformation early. He watched a place become a pattern. And that may be the most important part of his story. Most investors learn about innovation from charts, pitch decks, cap tables, and performance attribution. Eric learned it by proximity. His father’s world at Fairchild included people who would later help define venture capital, semiconductors, software, and the modern technology economy. The financial team included figures tied to the origins of Kleiner Perkins and Sequoia. The scientific and engineering ecosystem around Fairchild helped seed Intel and generations of future builders. This was not just a company. It was a root system. From that root system came entire forests of innovation. From Orchards to IPOs Eric later entered the business himself through Hambrecht & Quist, one of the iconic investment banking firms that helped bring emerging technology and life sciences companies into the public markets. He had a front-row seat to the kind of companies that changed what investors believed was possible. Genentech was one of them. At the time, biotechnology was not yet the accepted industry it is today. Regulators and investors had real skepticism. The idea that genetic engineering could become a scalable commercial and medical force required proof, education, patience, and courage. Eric watched as Genentech helped change the life sciences industry and eventually contributed to a world where biotechnology would reshape disease management, drug development, and quality of life. Then came Apple. One year after the Genentech deal, H&Q helped take Apple Computer public. Again, this was not merely a transaction. It was a window into a wave. Eric was watching new industries move from improbable to inevitable. That matters because great technology investing requires the ability to live in the gap between those two states. When everyone knows the thing is inevitable, most of the easy return is already gone. The opportunity is in the uncomfortable middle, when the future is visible but not yet agreed upon. Eric has spent much of his career in that middle. The Weight Behind the Palantir Conviction There is another part of Eric’s story that cannot be separated from the way he thinks about technology. His family lost loved ones on 9/11 through Cantor Fitzgerald. That tragedy sits quietly but powerfully behind his conviction in Palantir. For Eric, Palantir was never just an interesting data company with government contracts. It represented something more human: software that could help agencies identify threats, analyze complex data, and potentially prevent other families from experiencing the ki

1hr 5min

29 May

The Woman Who Sees the New World Order Forming Before the Headlines Do

Before you read the show notes below, subscribe to Tanvi Ratna on Substack: Tanvi’s work is some of the sharpest geopolitical and macro-strategy analysis I have found on Substack because she does something most headline commentary fails to do. She watches what is actually moving beneath the noise. Not the talking points. Not the performative outrage. Not the easy partisan explanation. The deals. The incentives. The energy flows. The security architecture. The trade routes. The industrial policy. The quiet reordering of power before most people realize the world has already changed. TL;DR Key Takeaways Tanvi Ratna returns to the ATOMIQ LEVEL after her first appearance became one of the strongest-performing episodes of the show’s early run. This conversation is a deeper field report from someone who has spent the last several weeks close to the front lines of the global realignment, including time in Europe, Eastern Europe, and around major diplomatic and economic meetings. Her central argument is that the world is not merely experiencing chaos. It is experiencing a deliberate departure from the old liberal international order toward a more transactional, sovereignty-driven, mercantilist world. A major theme is that many of the biggest deals and reordering moves are happening quietly. The most important parts of the strategy are often not the things being loudly broadcast. Europe is being reshaped militarily, economically, and energetically. NATO responsibilities are shifting. Eastern Europe is being elevated. Poland, Croatia, Romania, Slovakia, Finland, Sweden, Italy, and the UK appear in the conversation as part of a different strategic map than the old Franco-German-centered Europe. Energy is the foundation of the whole shift. As Europe moves away from Russian energy, American LNG, Eastern European ports, new pipelines, and energy infrastructure become strategic levers for the next phase of European security and reconstruction. Croatia and Poland emerge as especially important nodes. Croatia is discussed as a growing energy and infrastructure base, while Poland is framed as a continental headquarters of sorts for the new strategic push. AI data centers, energy infrastructure, technical talent, and geopolitical alignment are all converging. Tanvi describes Eastern Europe as not only strategically important, but also technically capable and cost-competitive. The U.S. is not simply retreating from Europe. It is forcing Europe to take more responsibility while preserving key strategic capabilities such as nuclear umbrella support and broader coordination power. The conversation then moves to China, the Quad, India, Japan, Australia, and the Indo-Pacific. Tanvi argues that public optics around China may suggest cordiality, but the post-summit moves suggest containment architecture is still being activated. The Quad is framed as a renewed strategic platform, with maritime intelligence, critical minerals, supply chain cooperation, standards, telecom, digital identity, AI, and freedom of navigation all part of the emerging architecture. Critical minerals become a major investment and industrial policy theme. Tanvi warns that building non-China supply chains will require more than rhetoric. It may require price floors, guaranteed demand, and coordinated industrial policy because China can undercut new entrants. The deeper message is that we are moving from a world optimized for comparative advantage to a world optimized for sovereignty. That changes everything. Trade. Energy. Defense. AI. Critical minerals. Data centers. Supply chains. Capital allocation. Regional alliances. Investor opportunity. National strategy. The most important line of the conversation may be Tanvi’s warning that when the economic and security layers begin moving together, the world order can change in just a few years, whether people are ready for it or not. Why You Should Listen This ATOMIQ LEVEL conversation with Tanvi Ratna is not just a geopolitical interview. It is a field report from inside the quiet machinery of a world being reordered in real time. It is about what happens when the old post-war assumptions stop working, when free trade is no longer treated as an unquestioned good, when countries begin optimizing for sovereignty as much as efficiency, and when the United States starts asking allies to carry more of the burden for their own security, energy, infrastructure, and industrial future. It is about why Europe’s center of gravity may be moving east. It is about why energy is not just a commodity. It is about why AI is not just a technology story. It is about why critical minerals are not just an investment theme. It is about why China cannot be understood only through tariffs, trade deficits, Taiwan headlines, or summit optics. It is about the return of grand strategy in a world that many people are still trying to explain through yesterday’s vocabulary. Tanvi’s gift is that she does not let the conversation stay at the surface. She follows the incentives underneath the official statements. She watches what happens after the meetings, not just what gets announced during them. She understands that the real story may be hiding in which port gets funded, which command changes hands, which country becomes a new hub, which supply chain gets guaranteed, which ally gets elevated, and which energy route becomes unavoidable. Most of all, this conversation is about seeing the shape of the next world before it is obvious. Because by the time a new order becomes obvious, the best decisions have already been made by the people who saw it forming early. Press play on this conversation with Tanvi Ratna if you want to understand why the next three years may reshape the global map of power, energy, AI infrastructure, critical minerals, and capital allocation. Because the world is not waiting for the headlines to catch up. Recognizing the Quiet Reordering of the World Tanvi Ratna, Grand Strategy, and the Return of Sovereignty as the New Economic Stack When Tanvi Ratna returned to the ATOMIQ LEVEL for Episode 37, it did not feel like a routine follow-up interview. It felt like a dispatch. Her first conversation on the show had already struck a nerve. It became one of the strongest-performing episodes of the early ATOMIQ LEVEL run, not because the subject matter was easy, but because Tanvi gave listeners something rare in a noisy world: a framework that made the chaos legible. This second conversation begins with a different kind of energy. Tanvi has been moving. Europe. Eastern Europe. China-related summits. Quad meetings. Conversations with officials. Interviews. Closed-door rooms. The kind of travel and proximity that changes analysis from theory into pattern recognition. She is not sitting back and commenting on headlines. She is watching the machinery move. And the machinery, in her telling, is moving much faster than most people realize. The Deals Nobody Is Talking About Tanvi begins with a striking observation. Some of the most important moves being made by the administration are not the ones being loudly promoted. In an era where nearly everything is broadcast, branded, leaked, clipped, and weaponized for attention, that fact alone matters. The big things are happening quietly. That is the first lens for the conversation. The loud story is Iran, China, tariffs, summits, personality conflict, and the surface-level drama of global politics. The quieter story is the actual reordering of the energy, defense, infrastructure, and industrial map. Tanvi says she has seen this repeatedly over the last year of tracking the administration. Major deals are being made. Strategic architecture is shifting. But not everything is being announced in a way that fits the 24-hour news cycle. That may be because the real objective is not applause. It is leverage. And leverage often works best before everyone knows exactly where it has been applied. Europe Is Being Rewired The conversation turns first to Europe, where Tanvi sees three layers of reordering: defense, energy, and economic infrastructure. The defense layer begins with NATO. For years, American presidents have complained that Europe relies too heavily on the United States for security. This is not new. What Tanvi argues is new is that the rhetoric is now becoming operational. Europe is being told, in effect, that it must take more responsibility for itself. The United States may remain the ultimate coordinator in key areas. It may retain the nuclear umbrella. It may still provide heavy-lift capabilities and strategic support. But the days of the old blanket assumption are changing. Tanvi points to quiet shifts in NATO command structures and the elevation of countries outside the traditional Western European core. This is not simply about France and Germany anymore. Poland matters. Italy matters. Finland and Sweden matter. The Arctic matters. The Mediterranean matters. Eastern Europe matters. The map is changing. And if the map is changing, the investment thesis changes with it. The End of the Old Europe Frame For decades, many Americans thought of Europe through a Western European lens: Germany, France, maybe the UK, maybe Brussels, maybe the Eurozone as a political abstraction. Tanvi argues that this mental model is becoming obsolete. The new strategic map is less sentimental. It is about who is aligned, who is growing, who is willing, who is exposed, who is close to the front line, who has technical talent, who can host infrastructure, who can move quickly, and who can help build the next security and economic stack. Eastern Europe becomes central in this frame. Poland is not a peripheral player. Croatia is not a scenic backdrop. Romania and Slovakia are not footnotes. Finland and Sweden are not merely new NATO members. These countries become part of the emerging architecture. Tanvi describes the enthusiasm she saw among Eastern European leaders not as cautious consensus-building, but

1hr 22min

27 May

The Playbook For Turning Unplanned Disruption Into Your Playground

Get Joel’s Resources: Before you read or listen to the show * Subscribe to Joel on Substack * Get Joel’s new book, AI Made Simple: Artificial Intelligence for Everyday Life, here: * Download his 100% free (no opt-in) deep dive report on the five-part Disruption Confidence Cycle here: Now push play while you read the rest or just enjoy! Joel’s work has always lived at the intersection of curiosity, creativity, faith, technology, play, reinvention, and making complicated things feel simple enough for normal humans to actually use. That is why this conversation matters now. Because AI is not just another tool. It is the latest disruption in a career built by a man who has survived, studied, and reinvented himself through the web, online gaming, Google AdSense, social media, podcasting, crypto, NFTs, and now artificial intelligence. TL;DR Key Takeaways Joel Comm describes himself as independent, strong-willed, curious, playful, and deeply shaped by a spiritual awakening in his mid-twenties that gave him a moral foundation for the rest of his life. His entrepreneurial path began in the early 1990s as a mobile DJ, radio voice, nightclub DJ, and technology enthusiast. He bought his first computer, a TRS-80 Model 1, in 1980 at age sixteen and was already dialing into bulletin board systems decades before most people understood the internet. Joel built his first website in 1995 and eventually created ClassicGames.com, a multiplayer JavaScript game room that grew to thousands of players and was acquired by Yahoo in 1998. He has written 16 books, with his 17th, AI Made Simple, coming out in December. His work has been read around the world, and he has spoken globally by making complex technology accessible, practical, and fun. Joel’s career has been shaped by repeated disruptions: the web, online gaming, Google AdSense, social media, mobile, live video, blockchain, crypto, NFTs, and AI. He co-created The Bad Crypto Podcast with Travis Wright in 2017 after a season of uncertainty and serendipity. The show became one of the longest-running crypto podcasts in the world, with more than 10 million downloads. Joel’s operating philosophy comes from his book The Fun Formula: be curious, take risks, and trust the process. In this episode, Joel introduces his Disruption Confidence Cycle, a five-stage framework for navigating technological change: disruption, doubt, clarity, confidence, and momentum. You can download his free deep dive report on that framework here: Wealth Matters 3.0 is a reader-supported publication. To unlock all access or never miss a post, become a free or paid subscriber today. Joel openly shares that even after decades of reinvention, he has had seasons where he wondered whether his best work was behind him. The AI wave created that same doubt again. At first, Joel used AI but did not feel fully claimed by it. Then, in early 2026, he began building with AI tools like Claude, OpenClaw, and Claude Code, and everything changed. By asking AI to guide him “like a fifth grader,” Joel set up tools, built websites, created games, launched experimental projects, and became a practitioner rather than just a commentator. That practitioner shift became the source of his new clarity, confidence, and momentum. Joel now hosts AI for Everyone, a show designed especially for people around age 55 and older who feel intimidated, confused, skeptical, or frightened by AI. His message is not that everyone needs to become technical. It is that everyone needs enough reps to see what AI can help them create, understand, simplify, or improve. The deeper message: Joel Comm’s story is not about chasing every shiny object. It is about staying curious enough to find your next chapter before the world writes you out of it. Why You Should Listen This ATOMIQ LEVEL conversation with Joel Comm is not just an AI interview. It is a story about a man who has spent more than four decades riding the edge of technological change, not because he had a perfect plan, but because he refused to stop being curious. It is about a kid who bought a TRS-80 in 1980, became a mobile DJ, built websites before most people knew what a website was, sold an online game platform to Yahoo, wrote books that taught the world how to monetize the early web, helped millions of people understand crypto through The Bad Crypto Podcast, rode the NFT wave, lived through the winters, and then found himself asking the question every creative leader eventually asks: Is my best work behind me? It is about why the answer was no. It is about how AI reawakened Joel’s builder instinct once he stopped merely watching the tools and started using them to make things. Websites. Games. Calculators. Speaker platforms. Educational tools. Experiments. Proof that the cost of trying has collapsed. It is about why older leaders, founders, creators, business owners, advisors, and professionals may have more advantage in the AI era than they realize, because pattern recognition only comes from living through prior disruptions. It is also about why AI does not have to feel cold, technical, alien, or overwhelming. Joel’s mission with AI Made Simple and AI for Everyone is to make artificial intelligence simple, easy, useful, and fun for everyday life, especially for people who feel like the whole conversation has already passed them by. Most of all, this conversation is about creative renewal. The kind that arrives after doubt. The kind that only shows up when you are willing to play again. The kind that reminds you that your experience is not obsolete just because the tools have changed. Press play on this conversation with Joel Comm if you want to understand how a lifelong digital pioneer navigates reinvention, why AI may be the greatest creative empowerment tool of our lifetime, and how to move from disruption to doubt, from doubt to clarity, from clarity to confidence, and from confidence to momentum. Because the future does not belong only to the youngest coder in the room. It belongs to the people who keep putting in the reps. The Man Who Turned Disruption Into a Playground Before Joel Comm became a bestselling author, global speaker, digital pioneer, crypto podcaster, AI educator, and one of the more enduring explainers of emerging technology on the internet, he was a young man with no clear map. He came from a broken home. He made his way through college without much direction, swept along by culture, partying, confusion, and the drift that can define a young life before it finds its center. Then, in his mid-twenties, something shifted. Joel found spirituality in the person of Jesus Christ, and that encounter gave him what he describes as a moral ground to stand on. It did not fix everything. He is honest about that. He does not pretend faith turned him into a flawless person. He says he is still very good at screwing things up. But it gave him a foundation. A place to build from. A line underneath the chaos that allowed the rest of his life to begin taking shape. That matters because Joel’s story is not merely about technology. It is about orientation. The tools changed. The platforms changed. The markets changed. The industries changed. But the man stayed anchored by a few repeatable instincts: curiosity, play, risk, faith, humor, and a willingness to try the next thing before the crowd understood why it mattered. The Voice Before the Website Joel’s first entrepreneurial gig was not a startup, at least not in the way people use the word now. It was as a mobile DJ. That detail feels almost too perfect. Before he was explaining the internet, before he was writing books, before he was podcasting to millions, before he was teaching people about crypto or AI, he was already learning how to hold attention, read a room, move energy, and use his voice. He did radio. He did nightclubs. Eventually, he realized he could make more money with his own gear doing private parties, and he performed hundreds of them. That was one side of Joel. The other side was the kid who bought his first computer in 1980 at age sixteen, a TRS-80 Model 1 with 4K of RAM and a cassette player for storage. To save a program, you typed the command and recorded it onto magnetic tape. To load it, you played it back. It sounds primitive now. At the time, it was magic. Joel was dialing into bulletin board systems in 1980, which means he has been in the online world for more than four decades. Long before most people thought of digital life as normal, he was already there, experimenting, wandering, tinkering, asking what this machine could do. That is the beginning of the pattern. Joel rarely waits for the world to explain the toy. He picks it up and starts playing. The First Website and the Yahoo Exit In 1995, Joel built his first website. He sensed that the internet was the next big thing, not because he had a crystal ball, but because he had enough curiosity to feel the shift before it had fully become obvious. By 1997, he had a family-friendly website with software reviews and web games. He has always loved games, and that love would become one of the earliest meaningful inflection points in his career. His webmaster introduced him to a young graduate at UC San Diego who had created the foundation of what might have been one of the world’s first JavaScript multiplayer game rooms. Friends were testing games like Hearts, Spades, Chess, and Backgammon. Joel saw the possibility immediately. They partnered. They named it ClassicGames.com. They expanded it to sixteen games and grew it to thousands of players. Then Yahoo bought it in 1998. His partner went to work for Yahoo as what Joel jokingly calls the “chief game Yahoo.” Joel took cash and walked away, something he now describes with the self-deprecating wisdom of hindsight. His partner may not have needed to work another day in his life. Joel took what was, at the time, the most money he had ever seen. Still, that exit changed his life. It

50 min

27 May

The Man Who Rewrote the Scorecard for National Wealth

Gratitude for a great conversation! Before you read the show notes below, * Please subscribe to Roger * And get Roger’s book, The Ledger: How Important Assets Go Astray and a Framework for Sovereign Wealth Roger’s conversation is a masterclass in practical understanding of what truly drives a nation’s (or family’s) wealth. His work is built around one of the most important but under-discussed questions in economics, politics, investing, and national stewardship: What if GDP is only the income statement, and the real story is hiding on the balance sheet? TL;DR Key Takeaways Roger Ohan began his career in engineering, realized he did not like engineering, earned an MBA, and then entered finance through Chemical Bank, now JPMorgan Chase. He was placed into a then-obscure corner of the market called fixed income derivatives and became one of the early traders in interest rate swaps, helping build part of what became JPMorgan’s core fixed income business in Europe. Roger’s worldview was shaped by both extremes of finance: highly liquid, high-volume fixed income markets where billions could move in seconds, and illiquid emerging market equities where assets could trade once a month or once a quarter. After leaving trading in 1997, he helped build an emerging markets asset management business focused heavily on Russian equities during the privatization boom, including exposure to the extraordinary rise and political destruction surrounding Yukos. The seed of The Ledger began with a question that bothered him after Hurricane Katrina in 2005: how could a city be destroyed, families lose homes, businesses, memories, and assets, and yet the economic statistics fail to show the destruction of real wealth? Roger’s core insight is that GDP measures flow, like an income statement, but it does not properly measure the condition of a country’s balance sheet. His Gross National Assets framework looks at five categories of national assets: natural resources, infrastructure, human capital, intellectual capital, and financial assets. Those assets must then be weighed against liabilities, including debt, unfunded promises, deteriorating infrastructure, depleted resources, and future obligations. Over those assets sits what Roger calls the governance multiplier. Good governance compounds national wealth. Bad governance can destroy the same asset base. The contrast between Norway and Nigeria is central to his framework. Both had oil. Norway converted its natural resources into a financial asset through a sovereign wealth fund and strong governance. Nigeria largely failed to convert its oil wealth into a durable national balance sheet strength. Nauru is Roger’s cautionary tale. Once one of the richest countries in the world per capita because of phosphate deposits created by ancient bird guano, it mined its balance sheet, spent the proceeds poorly, and collapsed after the resource declined. Singapore and South Korea are the positive examples. Both began with very little, especially South Korea after the Korean War and Singapore after separation from Malaysia, but built enormous sovereign wealth by investing in human capital, infrastructure, rule of law, and governance. Cuba is one of Roger’s most striking examples of trapped human capital: a country with literacy, doctors, engineers, and education, but a governance structure that forces talent into low-productivity survival behaviors rather than compounding national wealth. The framework introduces the “sovereign share,” the value of a country’s net assets divided by its population. In simple terms, it asks: how much national equity does each citizen effectively inherit? AI complicates the framework because human capital is the largest balance sheet asset in advanced economies. If AI reduces the value of human labor faster than new productive roles emerge, national balance sheets may weaken in ways GDP will not immediately reveal. Roger’s framework applies to families, business owners, and investors, too. Income matters, but the balance sheet matters more. A high-earning person or nation can still become fragile if they consume everything and fail to compound assets. The deeper message: nations, businesses, and families should stop confusing activity with wealth creation. Why You Should Listen This ATOMIQ LEVEL conversation with Roger Ohan is not just a macroeconomics interview. It is the story of a man who spent decades inside the machinery of global finance, watching markets move in real time, watching countries rise and fall on governance choices, watching assets be created, extracted, wasted, or compounded, and finally deciding that the way we measure national prosperity is dangerously incomplete. It is about a trader who began in the obscure world of interest rate swaps before they became central to modern finance, then moved into emerging market asset management, Russian equities, infrastructure advisory, fund administration, private equity restructurings, and board-level investment work. It is about the moment Hurricane Katrina exposed something that GDP could not explain: the destruction of real human, physical, and financial wealth hiding beneath a headline economic metric that could still look superficially fine. It is about why a car crash, a burned house, a ghost city, an unused bridge, a depleted island, and a mismanaged oil field can all increase measured economic activity while making the owner, the city, the country, or the people poorer. It is about why Norway became one of the great sovereign wealth stories in modern history while other oil-rich nations burned through their balance sheets. It is about why Singapore and South Korea prove that human capital, governance, education, rule of law, infrastructure, and patience can turn poor nations into extraordinary compounding machines. It is about why the AI revolution may force us to rethink the value of human capital on national balance sheets, especially if brains, not just hands, are now being augmented or replaced. Most of all, this conversation is about truth in accounting. Not the accounting of a company. The accounting of civilization. Press play on this conversation with Roger Ohan, author of The Ledger, if you want a framework that helps you see through economic gaslighting, political scorekeeping, distorted GDP narratives, and the dangerous habit of confusing spending with wealth creation. Because a nation can look busy and still be getting poorer. A business can have revenue and still be eroding its future. A family can have income and still fail to build a balance sheet. And once you learn to see the ledger, you never look at prosperity the same way again. The Man Who Looked Past GDP and Found the Missing Ledger Gross National Assets and the Balance Sheet of Civilization Before Roger Ohan wrote The Ledger, before he began developing the Gross National Assets framework, before he started asking whether countries were actually getting richer or merely producing activity that looked like growth, he was an engineer who did not want to be an engineer. So he did what many smart people do when the first track does not quite fit. He got an MBA. Then he walked into finance through a bank called Chemical Bank, which would eventually become JPMorgan Chase. He did not begin in some obvious center of glamour. He was placed into a strange and obscure corner of the market that almost did not exist yet: fixed income derivatives. Interest rate swaps. At the time, that was not the sprawling, central, institutional market it would later become. It was still emerging, still being built, still not entirely understood by the broader financial world. Roger was early. He was lucky, as he says, but he was also capable enough to understand what luck had handed him. He became one of the early people trading swaps and helped build part of what became JPMorgan’s core fixed income business in Europe. That is not a small thing. It meant sitting in markets where every second mattered. Government bonds, repos, swaps, massive positions, payroll numbers, GDP releases, interest rates, and billions of dollars of exposure moved across screens in real time. A number would hit, and within seconds, markets would respond. You could win or lose millions before most people even understood what had happened. That kind of early career leaves a permanent mark. It trains a person to respect flows, liquidity, reflexes, leverage, and the brutal honesty of price. It also teaches a lesson most people outside markets never fully internalize: The number everyone is watching may not be the number that matters. The Dumbbell Life of a Market Thinker Roger’s career did not stay on one side of the financial world. After years in highly liquid fixed income markets, he moved into the opposite environment: emerging market equities. That shift gave him what he calls a dumbbell background. On one side, there were some of the most liquid instruments in the world, moving constantly, reacting instantly, and repricing by the second. On the other side, there were deeply illiquid emerging market securities, including Russian equities, where options might trade once a month or once a quarter. One world was all speed. The other was all opacity. Both taught him something. From fixed income, he learned how the global monetary machine moves. From emerging markets, he learned what happens when governance, property rights, incentives, and state power sit underneath the numbers. He saw assets that looked cheap because they were cheap, and assets that looked cheap because the market did not trust the system around them. One of the defining examples was Russia in the late 1990s, during the privatization boom. Roger was investing in Russian equities from roughly 1997 to 2000, a period when assets under management could go from zero to $500 million and then back down to $30 million because that was what Russian equities did. They boomed. They collapsed

1hr 19min

THE ATOMIQ LEVEL

The Macro Legend Who Still Trusts Markets More Than Technocrats | Barry C Knapp

Investing in a Tripolar World: Why Global Markets Are Shifting Beyond U.S. Dominance|Jay Pelosky

The Faceless Trader Beating the Biggest Names in Finance

The Relativity Trap: Why Markets Feel Broken Until You Understand Where Capital Runs

The Fund Manager Who Saw Silicon Valley Before It Had a Name

The Woman Who Sees the New World Order Forming Before the Headlines Do

The Playbook For Turning Unplanned Disruption Into Your Playground

The Man Who Rewrote the Scorecard for National Wealth

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THE ATOMIQ LEVEL

Episodes

The Macro Legend Who Still Trusts Markets More Than Technocrats | Barry C Knapp

Investing in a Tripolar World: Why Global Markets Are Shifting Beyond U.S. Dominance|Jay Pelosky

The Faceless Trader Beating the Biggest Names in Finance

The Relativity Trap: Why Markets Feel Broken Until You Understand Where Capital Runs

The Fund Manager Who Saw Silicon Valley Before It Had a Name

The Woman Who Sees the New World Order Forming Before the Headlines Do

The Playbook For Turning Unplanned Disruption Into Your Playground

The Man Who Rewrote the Scorecard for National Wealth

About

Information

You Might Also Like