Max Levchin probably knows as much about online payments as anyone. He was part of the original "PayPal mafia" before going on to become co-founder and CEO of Affirm, the $22 billion player in the Buy Now, Pay Later industry that's hoping to disrupt the incumbent credit card companies. While BNPL is booming, there is still a lot of confusion about how it works, how it makes money, and how transparent its activities are. On this episode, we speak with Max about why he started his company, and why he believes that BNPL offers a superior product to traditional forms of payment and credit. We also discuss the current state of the economy, AI, and what he sees as the role of crypto in payments.

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There have been some wobbles in credit markets lately. It hasn't been too dramatic, but we've had some blowups, leading Jamie Dimon to speculate about the presence of other "cockroaches" lurking in the industry. But what do we actually know about the quality and practices of credit underwriting right now? Dan Wertman is the co-founder and CEO of Noetica, a startup that uses AI to scan deal documents and measure linguistic and term trends over time. Dan talks to us about what he's been seeing in the language of deal documents, and why there are reasons to think that more blowups are lurking around the corner. He also talks to us about how credit agreements are structured in the AI space, and how we should understand some of these huge data center financing deals we've seen lately.

Read more:
Oracle Credit Fear Gauge Hits Highest Since 2009 on AI Bubble Fears
Secretive $3 Trillion Fund Giant Makes Flashy Move Into Private Assets

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There's an incredible amount of focus on the grid this days. That's notable because for a long time, the grid was hardly of any interest. For years, load growth was flat. It was a sleepy market. And in fact, because it was sleepy, regulators and politicians and private companies started focusing on phasing out the dirtier parts of energy production. Now things have flipped. Prices are on the rise. Load growth is on the rise. And everyone's tying to figure out how we're going to attach all of these AI datacenters to the grid. On this episode, we speak with Travis Kavulla, the vice president of regulatory affairs at NRG. Prior to his current role, Travis served for eight years on Montana's Public Service Commission, and therefore has a good feel for what drives prices in both regulated and competitive electricity markets. He explains the factors that have pushed electricity costs up, particularly since the pandemic, and the calculations that have to be made to plan for the future burdens that will be placed on the grid.

Read more:
Americans Paying Record Electricity Prices as Gas Costs Climb
As Federal Support Withers, California Invests in Cheap Heat Pumps

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Some people pay off their credit cards at the end of each month. They use the cards as a payment method and collect points and rewards, and never have to pay any interest. For other users, interest can be sky high — way higher than what would be expected simply based on a user's credit or default risk. Why is this? And how do credit card companies get away with charging interest at these levels? On this episode, we speak with Itamar Drechsler, a finance professor at Wharton, who recently co-authored a piece titled Why Are Credit Card Rates so High? Drechsler walks us through the costs of running a credit card operation and explains what borrowers are really paying for.

Read more:
US Consumer Confidence Falls by Most Since April on Economy
Gambling, Prediction Markets Create New Credit Risks, BofA Warns

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The US and China are in a "Thucydides Trap," whereby the risk of war is heightened when an established power is threatened by a rapidly rising power. This is the framework that's been popularized by Graham Allison, the Douglas Dillon Professor of Government at Harvard University. Professor Allison has been writing about China and the US-China relationship for decades. He's been focused on the growing odds of a violent conflict between the two powers. On this episode, he explains his work and the conditions that drive greater risk of armed conflict. He also tells us what both sides get wrong about each other, and what it will take to reduce the odds of military involvement.

More: Henry Wang on China's Role in the New Emerging World Order

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You're not imagining it. This really is a moment of tremendous historical change. Various forces are all aligned right now and reshaping how the world operates. That's the view of Ray Dalio, the founder of Bridgewater Capital, the world's biggest hedge fund. While Odd Lots has been around for 10 years, Dalio ran Bridgewater for an extraordinary five decades, so he's the perfect person to get a big picture understanding of what's going on. He talks about how a mix of rising wealth inequality, the AI boom, a burgeoning national debt, and more, are changing the world. We also talk about lessons he learned from running Bridgewater, the importance of meditation, as well as his long-term skepticism about the pod shop hedge fund model.

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Here’s a preview of another podcast we enjoy, Risky Business with Nate Silver and Maria
Konnikova. Risky Business is a weekly podcast about making better decisions. Hosted by
journalist and psychologist Maria Konnikova and data analyst and election forecaster Nate
Silver, who both happen to be accomplished high-stakes poker players, the show explores how
we navigate uncertainty in politics, poker, and everyday life. From unpacking AI hype to diving
deep into election forecasting to discussing trust on reality TV, they break down the odds behind
the headlines. Because every choice is a bet. New episodes drop on Wednesdays and Fridays
—listen to Risky Business wherever you get podcasts.

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The country's cattle herd has shrunk to its smallest size in decades and beef prices have been soaring this year, with hamburgers and steaks becoming the latest flashpoints in the political debate over higher food prices. In this episode, we untangle the roots of declining domestic beef supply — from drought and surging feed costs to the lasting impact of consolidation in the meatpacking industry. We speak with Bill Bullard, CEO of R-CALF USA, a trade association for independent cattle ranchers, about the forces shrinking America's cattle industry and what can be done about it. (Editor's Note: This episode was recorded Oct. 30)

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In early November, it looked like almost a sure thing that the Federal Reserve would cut rates. Since then, the odds have come in dramatically, as a number of FOMC members have been talking about persistent inflationary pressures. One such voice has been Susan Collins, the president of the Boston Fed. On this episode, she explains her thinking as to why, right now, she's more concerned about inflation than she is about the labor market, and she tells us what she'd like to see before supporting another rate cut. Today's episode coincides with the first day of the Boston Fed's annual economic research conference, which will be streaming live on the bank's website.

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In many respects, AI technology is already mind-blowing, and can perform many tasks far better than the average person. And yet by and large, its impact has been hard to detect. We haven't seen some huge labor displacement, for example. There's nothing dramatic yet happening in the productivity data. So when will the impact really start to be felt? On this episode, we speak with Tyler Cowen, a professor at George Mason University and the co-author of the famed econ blog Marginal Revolution. He's also the host of the Conversations with Tyler podcast. We talk about when we'll really start feeling AIs impact, as well as other topics, like food, music, and the general state of discourse.

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AI wasn't much of a topic in the 2024 election. But it will almost certainly be big in 2028, and probably even the 2026 midterms. There are concerns about all the money being spent and whether a federal backstop or bailout will be necessary one day. There are the concerns about energy use and electricity prices. There are concerns about labor displacement. And there are concerns about whether we can trust AI outputs. Already we see numerous politicians lining up against AI in one way or another. On this episode, we speak with Saagar Enjeti, the co-host of the Breaking Points podcast to discuss how this issue is already blowing up, and how the tech industry may soon find itself friendless in DC.

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Stocks are overpriced. Bonds are overpriced. And private assets are a powder keg. This is the view of Jeffrey Gundlach, the founder and CEO of DoubleLine Capital. As part of our 10-year anniversary celebration of the Odd Lots podcast, we've been talking to some big names in markets and economics to get a sense of how they see the world and what's changed in recent years. One major change, obviously, is the end of ZIRP. And while Treasuries have rallied modestly this year, Gundlach sees mounting pressure on government balance sheets pushing yields higher going into the future. We also talk about gold, the greater opportunities for a US-based investor when looking internationally, and why everyone should be holding more cash in their portfolios.

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According to Dirk Willer, the Global Head of Macro Strategy at Citigroup, we are definitely in bubble territory. Per his research, the stock market has been in a bubble since May. Unlike many people, whose definitions of bubbles are a bit more vague or a bit more based on sentiment, Dirk's work focuses on precise timing and price indicators that distinguish bubbles from mere booms. Furthermore, he argues that when the bubble first forms, the correct move historically is to buy into it and then just accept that you'll never nail the top perfectly. On this episode, we talk about his overall approach as well as the signs of when the bubble has come to an end. We also talk about current parallels to the dotcom bubble, why gold has had such a monster year, and the signs from the Treasury market that make the US look increasingly like an emerging market.

Read more:
Stock Bounce Wanes on Fed Angst as Bitcoin Plunges: Markets Wrap
Gold ‘Trading Like a Meme Stock’ Sets Up Miners as Levered Bet

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In recent weeks, there's been renewed anxiety about the sustainability of the AI boom. This is partly due to comments from OpenAI CFO Sarah Friar about a possible role for a government backstop in the AI infrastructure build out. We've also seen the stock market wobble, with many major tech names hit hard. But even with all these concerns, we continue to see new announcements all the time. Just this week, Anthropic said it would spend $50 billion on data center development in the US. So are we actually in a bubble? Our guest on this episode believes we are -- and not just any bubble. According to Paul Kedrosky, a longtime VC currently at SK Ventures, the AI bubble is like every previous bubble rolled into one. There's the real estate element. There's the tech element. And, increasingly, there are exotic financing structures being put in place to fund it all. And then on top of that, there's talk of government bailouts and backstops. In this episode, we walk through some of the math that would be required to justify all this spending, and how the seemingly existential stakes of 'winning the AI race' is causing an unsustainable investment binge.

Read more:
AI Startup Cursor Raises Funds at $29.3 Billion Valuation
Point72’s Drossos Sees AI Boom Driving Gains in Asian Currencies

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The Odd Lots podcast has been around for 10 years. Unfortunately, markets have gotten less rational over the same time frame. At least this is the contention of Cliff Asness, the co-founder and CEO of AQR Capital Management, a quantitative investing firm that's been around for nearly three decades. Asness' approach to investing is rooted in academic theory, having studied under the legendary Eugene Fama at the University of Chicago. In the world of social media and meme stocks, it's tough out there for the academically minded. And that's forced Cliff to adjust his approach over time. On this episode, we talk about the history of quantitative investing, market efficiency, and the emergence of AI/ML in his process. We also talk about the reality of investing other people's money, and the challenge of sticking with one's convictions at a time when temporary forces are working against you.

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AI has made a lot of people fabulously wealthy. But sorry, it's probably not going to be the thing that makes you rich. And if history is any guide, we don't even know who the real AI winners are going to be. That's the thesis from longtime Venture Capitalist (now retired) Jerry Neumann. Earlier this year, Neumann published an article, "AI Will Not Make You Rich," putting the AI boom in the context of previous technological revolutions, such as the shipping container. He points out that a lot of the companies that were early to shipping containers didn't make much money, and that the real winners were the new businesses that emerged later and took advantage of the shipping container to build new business models (think about the likes of Walmart or Target). In this conversation, we talk about why it's so hard to invest in technological revolutions, where we are in the cycle, why he's getting out of VC, and when the big opportunities will eventually emerge.

Read more:
SoftBank Sells Nvidia Stake for $5.8 Billion to Fund AI Bets
AI’s $5 Trillion Cost Needs Every Debt Market, JPMorgan Says

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Land is a weird asset. We need it to be affordable because everyone needs somewhere to live. But for many people, real estate is also their biggest store of wealth — a kind of national piggybank that fuels both personal fortunes and broader economies. Nowhere is that tension sharper than in China, where housing affordability remains a major challenge even as real estate has been a huge driver of wealth for households and companies alike. China's policymakers have now spent years trying to let the air out of China’s property bubble — without causing it to burst completely. In this episode, we speak with Mike Bird, The Economist’s Wall Street editor and author of the new book, The Land Trap: A New History of the World’s Oldest Asset. We talk about how much of China's economic progress has been tied up in real estate, different models of land ownership around the world, and why this particular asset is unlike any other.

Read more:
New World, Vanke Debt Moves Shake Up China’s Property Sector
CapitaLand Is Said to Mull Merging Non-China Assets With Mapletree

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Protein seems to be everywhere these days, with brands from Starbucks to Pepsi jumping on the trend. But the obsession with protein may have started earlier — with a humble dairy product that defied the broader decline in US milk consumption. Fairlife, which uses a specialized filtering process to boost protein and cut sugar and lactose in its milk products, helped spark the modern protein craze that’s unfolded alongside the rise of Ozempic and other GLP-1 drugs. Since Coca-Cola acquired the brand in 2020, Fairlife has become one of the company’s biggest growth drivers. Yet its success also highlights deeper challenges facing the American dairy industry, where per capita milk consumption continues to fall. So how did Fairlife buck the trend? And what does its story reveal about the future of US dairy? On this episode, we speak with Corey Geiger, lead dairy economist at CoBank.

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If the government were open, we'd be getting a jobs report today. But as it is, we're in this blackout of official economic data. That's unfortunate, because the economy is already in a very confusing spot, and so any additional data right now would be very helpful in figuring out where things are heading. In the absence of Non-Farm Payrolls, we talked with Bloomberg Opinion columnist Conor Sen about the worsening state of the labor market, and why he thinks the Federal Reserve needs to step in before the unemployment rate deteriorates further. We also talk about the role AI is (or isn't) playing in the labor market.

Read more: 
US Companies Announce Most October Job Cuts in Over 20 Years
Fed’s Hammack Says Inflation a Bigger Concern Than Labor Market

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The news business isn't a great one these days. At least for a lot of legacy outlets (newspapers, cable networks, print magazines etc.), the Internet has obliterated their business model. And now AI is coming along and there's a risk that it makes conditions even worse, because unlike in the glory days of the search era, the user doesn't even have to click to get what they're looking for. So how does an AI company like Perplexity, which combines search and AI to create a real-time destination for learning about the news, affect industry economics? On this episode, which was recorded live at Lazard's Foursquare conference (an annual gathering for business leaders in sports, media, and entertainment), we speak with Perplexity's Chief Business Officer Dmitry Shevelenko. We talk about the company's relationship with the news business, a new battle against Amazon, and the general economic and finance environment for hot AI startups.

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New York City is about to elect a new mayor, and whoever it is will have to address growing challenges like unaffordability, homelessness, and other basic quality-of-life challenges. Very few of these challenges are distinct to NYC. San Francisco, in particular, has also faced this weird tension, where it's incredibly dynamic and wealthy, and also famous for its obvious symptoms of dysfunction. The city is one year into the new Daniel Lurie administration, and many of the quality-of-life statistics have been improving (which is the case in other cities as well). The city is ground zero for the world's AI industry, which is heavily concentrated in SF, rather than the Bay Area writ large. So we spoke with Lurie about his approach to city management, what he's learned in his first year on the job, his vision for improving zoning, and what, if any, advice he'd offer to the next NYC mayor.

Read more:
Uber to Take on Waymo in San Francisco With Lucid, Nuro Robotaxis
Trump Cancels San Francisco Raids After Benioff, Huang Calls

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Unfortunately, it doesn't seem as though you can get great stock picks just by going to ChatGPT and asking it to recommend some investments. And yet financial firms of all sorts — including trading firms — say they're increasingly using AI. But are the tools actually being deployed? And how do these tools differ from traditional machine learning or algorithmic approaches to trading, the likes of which have been used by quant firms for decades now. On this episode of the podcast, we speak with Iain Dunning, the head of AI research at Hudson River Trading, a major US market maker. We discuss the firm's attempts to use AI not just for more efficient trading, but also to make short-term predictions about price, which further gives its traders an edge. Dunning walks us through his work, his views on the main constraints facing the space (labor, power, chips, etc.) and how his work is both different and similar to what's happening at the major cutting edge research labs like ChatGPT.

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You hear a lot about AI safety, and this idea that sufficiently advanced AI could pose some kind of threat to humans. So people are always talking about and researching "alignment" to ensure that new AI models comport with human needs and values. But what about humans' collective treatment of AI? A small but growing number of researchers talk about AI models potentially being sentient. Perhaps they are "moral patients." Perhaps they feel some kind of equivalent of pleasure and pain -- all of which, if so, raises questions about how we use AI. They argue that one day we'll be talking about AI welfare the way we talk about animal rights, or humane versions of animal husbandry. On this episode we speak with Larissa Schiavo of Eleos AI. Eleos is an an organization that says it's "preparing for AI sentience and welfare." In this conversation we discuss the work being done in the field, why some people think it's an important area for research, whether it's in tension with AI safety, and how our use and development of AI might change in a world where models' welfare were to be seen as an important consideration.

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Everyone has an opinion on why housing is so expensive in America -- and to be fair, there are probably a lot of reasons for it. But one simple factor is that homes are expensive to build. Unlike many other physical objects, they haven't gotten cheaper over time. So why is this? And why haven't we found a way to bring down the cost curve by building modular housing in factories or on assembly lines? On this episode, we speak with Brian Potter the author of the new book The Origins of Efficiency. Potter also worked at a modular homes startup that failed, and is also the author of the excellent Construction Physics newsletter. So we talk about what he's learned about housing, as well as broader questions about how operational efficiency is achieved over time across a range of industries.

Read more:
Austin, Salt Lake City Top Global List of Most Affordable Cities
Affordable Housing Left Vulnerable After Trump Fires Building Inspectors

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If you go out to eat at a restaurant, whether it's a fast food chain or a Michelin-starred bistro, there's a good chance the ingredients on your plate came from the same source. Sysco is the dominant foodservice distributor in the US, using its massive logistics network to quietly supply the food that goes into meals in thousands of restaurants across the US. Sysco's scale and product standardization have helped define what American dining tastes like -- sometimes literally. But critics say its power has gone too far, leaving chefs and diners with fewer choices and blander outcomes. In this episode, we talk with Austin Frerick, author of Barons: Money, Power, and the Corruption of America's Food Industry, about how Sysco became the middleman shaping America's menus.

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A few years ago, governments and corporations were brimming with optimism about the prospect of getting to net-zero in the efforts against climate change. Today, you hear a lot less about that. And while there's renewables getting added to the mix all the time, one energy source that's really booming is natural gas. And coal is booming too. So what happened? And is there any prospect of the world getting back on track? On this episode, we speak with acclaimed energy historian Daniel Yergin, current Vice Chairman of S&P Global. He's also, of course, the author of the Pulitzer Prize-winning book The Prize, as well as, more recently, The New Map. We talk about all of the factors that changed the energy picture in recent years and the energy priorities of nations right now.

Read more:
Russia’s Crude Shipments Climb Close to a Post-Invasion High
Trump to Buy 1 Million Barrels to Help Refill Oil Reserve

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Some economists expected that the dollar would strengthen when the tariffs were imposed. Instead, the opposite happened. The dollar fell sharply and it's been a poor performer all year. Concurrently, it's been a great year for a lot of dollar-denominated assets, like stocks. Even US Treasuries have rallied this year. So what's going on? On this episode, we speak with recurring Odd Lots guest Hyun Song Shin, Economic Adviser and Head of the Monetary and Economic Department at the Bank for International Settlements. Per his work, the world didn't abandon the US dollar, but it did start hedging exposure to it. We discuss this phenomenon, as well as other risks on the macro landscape.

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The 2010s saw economic weakness across Europe's periphery. Countries like Greece, Spain, Italy, and so forth were the sites of so much stress. In the 2020s, however, it's reversed. The periphery is holding up well, but the industrial core is facing stress. Germany, in particular, the old powerhouse of the continent, has been slammed by the surge in electricity costs and competition with China. Other Northern states have felt similar pain. So what is the future for Europe? Can the EU project itself continue to evolve and integrate? On this episode, we speak with Olli Rehn, governor of the Bank of Finland and a member of the ECB's Governing Council. We discuss the near and medium-term challenges facing the EU and the prospects for finding a robust growth path in the future.

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Gold has been surging. Risky assets (with a few minor hiccups) have also been surging. And yet, central bankers (most notably the Fed) are in rate cutting mode. Why is this? And what kind of risks are being conjured up? On this episode of the podcast, we speak with Raghuram Rajan, a professor at the Booth School of Business at the University of Chicago, as well as the former Governor of the Reserve Bank of India. Rajan famously was one of the first to raise alarms prior to the Great Financial Crisis in 2008. We discuss why financial markets are doing what they're doing and whether central bankers are sufficiently attuned to the growing risks.

Read more:
Gold Holds Drop as Traders Focus on US-China Trade, Credit Woes
AI Stocks Are in a Bubble, Most Investors Say in BofA Survey

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Make sense of the world with one essential conversation, every week. Mishal Husain, one of Britain's best interviewers, brings her signature blend of curiosity and tenacity to weekly conversations with world leaders, business titans, and cultural icons, revealing who they really are and how they see the world changing around them.

Follow the podcast wherever you listen, so you don't miss an episode.
https://link.podtrac.com/iu94w2n4

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Earlier this year, we traveled along with San Francisco Fed President Mary Daly on a trip to Alaska. You may remember the episodes we did with Mary at the time, as well as business and other leaders in the state. But we also had the chance to sit in with Mary while she talked with her contacts on the ground. On this special episode, you'll hear some of those discussions and get a sense of exactly what happens when a regional Fed president goes out and learns from the community. You'll hear from officials at the Port of Anchorage dealing with the new trade landscape, a company that makes steel tubing for the oil industry coming to grips with tariffs, and from managers involved at the airport, to get a sense of how the Alaskan economy works and the distinct pressures they're facing right now.

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It's nothing new for the US government to use public money to support private American companies. The Biden administration, via CHIPS and the Inflation Reduction Act, was aggressive about using loans and grants to accelerate US industry. But the Trump administration has been engaged in something more novel: taking direct stakes in US companies like Intel and MP. But what is the legal basis for such action? And what are the advantages and disadvantages of direct equity stakes? On this episode, we speak with Peter Harrell, visiting scholar at the Georgetown Institute of International Economic Law. We discuss the structure of these new arrangements, and the advantages and disadvantages for the government to be a minority shareholder in publicly-traded companies.

Read more:
Intel Debuts New Technology in Make-or-Break Moment for CEO’s Turnaround Bid
US Rare Earths Stocks Jump on Bets Government Will Keep Buying

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Argentina is getting bailed out again, with $40 billion of help from the Trump administration. Of course, this is a recurring phenomenon for Argentina, and this time it's happening under the free market-oriented Javier Milei, who has slashed spending to bring down inflation. So why is it in trouble again? And why is this such a recurring feature of the Argentine economy? In this episode, we speak with Greg Makoff, the author of Default: The Landmark Court Battle over Argentina's $100 Billion Debt Restructuring. In this conversation, Greg explains the domestic political context for why Argentina hasn't been able to establish a sustainable economic footing. We discuss the legacy of Peronism, Milei's efforts to sharply change course, and the challenge of seeing any economic reform project through to completion, given the pain required get into fiscal balance.

Read more:
Argentine Bonds Jump on News US Lining Up $40 Billion in Aid
Argentina Says US Treasury Will Continue to Support Peso

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Almost everyone is talking about us possibly being in a bubble. Regardless of how AI investment ultimately pan out, there is an incredible amount of retail speculative mania in the air. So, how does this environment compare to past periods of exuberance? On this episode, we speak with Andrew Ross Sorkin, the editor of Dealbook, the co-host of CNBC's Squawk Box, and the author of the new book 1929: Inside the Greatest Crash in Wall Street History--and How It Shattered a Nation. Sorkin, who previously wrote Too Big to Fail (chronicling the Great Financial Crisis of 2008), went into the archives to discover just how in thrall the American public was to the market on the eve of the great crash. We discuss lessons from the time, similarities, and differences.

Read more:
Companies Overpaying for AI Add to Bubble Risks, Survey Shows
Why Circular AI Deals Among OpenAI, Nvidia, AMD Are Raising Eyebrows

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These days, there's a non-stop drumbeat of concern that China and its dominant companies will eat America's economic lunch, so to speak. Of course, this isn't the first time in our history that there were worries about a rising Asian industrial power. In the 1980s and early 1990s, there was a lot of concern about the rise of corporate Japan. And that fear was seen all over movies and pop culture, from Die Hard to the Michael Crichton novel Rising Sun. This time there is one big difference: Chinese dominance doesn't permeate our pop culture in the same way. And furthermore, the US has long had military bases in Japan, so that dimension was quite different, too. To understand this period further, we talk to John Ganz, who writes the Unpopular Front newsletter, and is the author of the recent book, When the Clock Broke: Con Men, Conspiracists, and How America Cracked Up in the Early 1990s. We discuss how this fear came about and disappeared, but also how it still influences American politics to this day.

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What changed between 2019 and 2025? Why are interest rates so much higher? Why does it seem virtually unfathomable that the Fed will return to ZIRP anytime soon? Why do investors expect this rate cut cycle to be so shallow? The answer, theoretically, is that the neutral rate of interest has gone up. But what is the neutral rate of interest, and why has it moved? On this episode, we speak with Jamie Rush of Bloomberg Economics and Tom Orlik, the Chief Economist at Bloomberg Economics. They, along with Bloomberg's Stephanie Flanders, are the editors of a new book titled The Price of Money: A Guide to the Past, Present, and Future of the Natural Rate of Interest, in which they attempt to directly identify what the neutral rate of interest actually is. We discuss the big changes over the last several years, including deglobalization, demographics, and datacenters, that are pushing this number higher.

Listen to our sister show Trumponomics: Trump Isn’t the Only Reason the Price of Money Is Rising
Read more:
Trump’s Contradiction: Demanding Steep Rate Cuts for a ‘Booming’ Economy
Fed Set to Drive Global Rate Cuts as Europe Shifts to Pause

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Money has been flowing into the AI space, with billions pouring into GPU clusters, data centers, gas turbines, and the infrastructure needed to train and deploy bigger and bigger models. So what comes next? On this episode, we speak with James van Geelen, founder of Citrini Research. We talk to him about his latest field trip to one of OpenAI's new massive Stargate data centers in Abilene, Texas. We also discuss the increasingly complicated financing arrangements that are funding some of these mega projects and the energy needed to power them. Finally, we ask the question which everyone seems to be asking right now: is AI in a bubble?

Read more:
OpenAI Valuation Reaches $500 Billion, Topping Musk’s SpaceX
FOMO Builds as Alibaba Extends $250 Billion AI-Fueled Comeback

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We're used to talking about the Federal Reserve changing "benchmark interest rates." But the mechanics of how the central bank actually tightens or loosens policy are a lot more nuanced. For years now, the Fed's been doing this through the federal funds market — where US banks lend and borrow their excess reserves. But that could be changing. Last week, Dallas Fed President Lorie Logan argued that the fed funds target is outdated, and the central bank should be looking at alternatives. So what would those alternatives actually look like, and why do the intricacies of these short-term funding markets actually matter? We speak with Joe Abate, head of macrostrategy, at SMBC Nikko about this and the broader liquidity picture.

Read More: Logan Ushers in New Era of Debate on Fed’s Key Policy Tool 

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CME Group is one of the oldest exchanges around, tracing it's history all the way back to the late 1800s, when it specialized in agricultural commodities. It's best known for things like futures and interest rate swaps that tend to be favored by professional traders. But as retail trading becomes big business, the CME is expanding its footprint in the space, including a recently-announced partnership with sports-betting platform FanDuel. So how does a marketplace that built its reputation on professional hedging and risk management now try to capture the attention of everyday investors? In this episode we speak with Terry Duffy, CME Group chairman and CEO, about the exchange’s push into retail, new competition in the Treasury futures space, and much more.

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For over 20 years, people have been talking about prediction markets or event markets are the next big thing. But mostly, with some niche exceptions, they haven't taken off, in part due to regulatory constraints. But now they seem to be booming, and the regulatory environment has gotten much more friendly. On this live episode recorded in Chicago, we speak with Tarek Mansour, the co-founder and CEO of Kalshi, one of the prediction market platforms that's booming. One reason it's doing so well is because it's gone big into sports, which of course gets into its own regulatory thicket. In this conversation, we talk about the future of these markets, the prospect for markets other than sports and presidential elections, and Kalshi's overall plan to let its users to eventually trade everything.

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Don Wilson has built a career diving into some of trading’s thorniest problems, including figuring out ways to trade new and niche markets. Now, the founder and CEO of DRW has his sights set on the GPUs powering AI, which he thinks could end up being a bigger market than crude oil. In this episode, which was recorded live onstage at our show in Chicago, we talk about how such a market would work, including ways to ‘standardize’ the vast array of different types of semiconductors, and how this could change the capital stack of the industry. We also talk the evolution of trading over Don’s storied career and why he thinks most assets (and maybe even all of them) will be tokenized within the next five years.

Read more:
ASM International Cuts Outlook After Chip Demand Disappoints
Taiwan Pauses South African Chip Export Curbs After Two Days

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Kindbody, one of the largest fertility companies in the US, sought to disrupt egg freezing and IVF by combining spa vibes with Silicon Valley efficiency. The startup raised millions, opened dozens of clinics, and became a billion-dollar unicorn. But its ambition came with consequences. In IVF Disrupted: The Kindbody Story, reporter Jackie Davalos takes listeners beyond Kindbody’s millennial-friendly waiting rooms and into the clinics themselves, showing the sometimes-heartbreaking consequences of bringing the “move fast and break things” mentality to the business of creating life.

Visit Bloomberg.com/ivfdistrupted to learn more.

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We know that the top-tier AI labs are spending unbelievable amounts of money on talent. But what are these researchers actually working on? And how do we know that they're making progress? And furthermore, how can we even measure that progress? On this episode, we speak with Jack Morris, an AI researcher and Ph.D. candidate at Cornell University, who is also a part-time researcher at Meta. We talk about what he does, and why breakthroughs seem to be lumpy and unpredictable. We also talk about the battle between open- and closed-source approaches, US vs. Chinese labs, and how an individual talent thinks about where they want to spend their time, balancing the desire for research and prestige with a big fat paycheck.

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There are two huge winning trades that people are looking at day after day. Gold keeps going up and US tech stocks keep going up. But what is driving this intense flow? How long can these consensus trades last? On this episode, we speak with Ozan Tarman, the Vice Chair of Global Macro at Deutsche Bank. As part of his role at the bank, Ozan talks non-stop with hedge funders, sovereign wealth fund managers, and, of course, the analysts at his own bank. This means he has an excellent perspective on why these trades are so popular now. He explains why there is a decline in confidence about the US sovereign (hence the rise in gold) around the world, but also an incredible fixation on the success of the big US tech companies (hence their constant bid). We also talk about other popular consensus trades, from steepeners to Chinese equities to Liz Truss moments all around the world.c

Read more:
China Courts Foreign Gold Reserves to Boost Global Clout
Nvidia’s OpenAI Deal Fuels ‘Circular’ Financing Concerns

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In recent years, retail trading of stocks has absolutely exploded. This is happening despite the fact that investors are subject to a constant stream of propaganda that individuals can't beat the market, and that the proper way to invest is through low-cost index funds that you don't pay regular attention to. More than anyone else, one man has been banging the drum (literally) for years that individuals can beat the market and are smart enough to select individual securities. That, of course, is Jim Cramer, the host of the popular TV show Mad Money on CNBC. He is also the author of the new book, How to Make Money in Any Market. We discuss his philosophy of investing, his career, his time as a young college-age radical, the time he lead a wildcat strike and got fired, his thoughts on memestock mania, and much more.

Read more:
US Stocks Advance to Records to Close Out Risk-On FOMC Week
Intel Soars After Nvidia Makes $5 Billion Investment

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When President Trump announced the tariffs on Liberation Day, it seemed to truly mark the end of the old world trading system. But of course it had been dying for a long time. The first Trump administration erected aggressive trading barriers against China. Then Biden expanded them further. And there were signs of its demise even under Obama. So what was the global trading system? What will come after it? What are the benefits and costs to changes? On this episode, we speak with Michael Froman, the President of the Council on Foreign Relations, and the former Trade Representative during Obama's second term. We discuss how the system began to collapse, and what he sees as the emergence of a new "polyamorous" global trading system, where friends and allies and partners move in a more liquid manner between different poles and blocs.

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There is a widespread view that China is a superpower of rising status, and that a new global order is emerging with the country as an important pole in it. You see this with the growing BRICS organization. You also see this with the leaders who went to Beijing recently for the country's military parade. And of course, this comes at a time when the US is erecting trade barriers with everyone, including many of our closest friends and allies. So how does China see its role in this world? Will it play a role that's similar to what the US has played? Will it look very different? Does China want to reinvigorate legacy multi-lateral organizations like the UN? On this episode, we speak with Henry Huiyao Wang, the Founder and President of the Center for China and Globalization. Having been founded in 2008, the CCG is now China's largest independent think tank, with offices in multiple cities. We discuss China's perspective on the US, its potential role in establishing a Russia-Ukraine ceasefire, its perspective on Israel and Gaza, and the type of role it could play in a new form of globalization.

Read more:
China’s Defense Minister Warns on Taiwan, Condemns ‘Bullying’
Why Is China Stockpiling So Much Oil?

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If you look at prospectuses and earnings documents for almost any company, you're going to see a Delaware address. For more than a century, the state has been the place to go to if you're setting up a business. And in fact, Delaware has catered to these corporate clients, setting up an efficient chancery court to settle corporate disputes and producing a huge backlog of case law to act as reliable and efficient precedent. But suddenly, some companies are choosing to leave the state. Most prominent among them is Elon Musk's Tesla, which opted to re-incorporate in Texas after a Delaware judge invalidated his $56 billion pay package. States like Nevada and Texas are now also actively courting companies by enticing them with management-friendly laws. In this episode, we speak with Ann Lipton, University of Colorado law professor and Lawrence W. Demuth Chair, to find out what's at stake in the fight for incorporations and if there's a risk for a race to the bottom in terms of shareholder accountability.

Read more:
Why Tesla’s Chinese Rival BYD Faces a Raft of Troubles
US Panel Probes Huawei Affiliate’s Presence on Nvidia Campus

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Almost everything we buy nowadays has been in a box at some point. Goods are shipped in boxes. Products ordered online arrive at our doorstep in boxes. Boxes are so ubiquitous that some strategists use them as an unconventional macroeconomic indicator to gauge retail spending. Now, shipments of boxes are falling dramatically. At the same time, prices for boxes have actually been going up. So, what's going on? And what does it suggest about the health of the US consumer and the broader economy? In this episode, we speak with Ryan Fox, containers and packaging analyst for Bloomberg Intelligence. We talk about the box industry overall, how companies choose their packaging, and what makes the perfect box.

Read more:
Lula, Xi Decry Tariffs and Urge BRICS Unity Amid Trump Threats
What Declining Cardboard Box Sales Tell Us About the US Economy

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Everyone wants to buy the hedge that will save their portfolio in a time of collapse. But this is easier said than done. You need to understand the specific risks facing your portfolio. You also need to get the disaster state right. Plus, insurance of any sort is costly. This means tail risk hedging is far from a trivial exercise. On this episode, we talk to someone who's been working on the problem for a long time. Vineer Bhansali is the CIO and founder of LongTail Alpha, which works to develop hedging implementations to prevent against left tail outcomes. Bhansali, who started off as an academic physicist before going to Wall Street, talks to us about options theory, the role of quantitative techniques, the time he won big in Liar's Poker, and why he perceives the loss of Fed independence as the biggest risk right now.

Read more:
Wall Street Rallies as Fed Gets All-Clear to Cut: Markets Wrap
Gold Surpasses Inflation-Adjusted Record High Set in 1980

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