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Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday, Thursday, and Friday
In the China tech space, Baidu is now a full-stack player in the AI industry. The company makes its own chips, has its own AI models (Ernie), its own cloud system, and it's integrating AI into its self-driving car business, Apollo Go. But before all this, Baidu was known for being China's leader in search. Things, obviously, have changed a lot since the company was founded in the late 1990s. In today's episode, we speak with Baidu CFO Henry He about the company's AI ambitions. He talks to us about maximizing token spend, how Chinese tech firms are thinking about safety and alignment, the global robotaxi competition, and how the core search business fits into the company now.
Read more:
Chinese AI Stocks Rally on Demand Optimism and Policy Support
US Seeks AI Partnership With EU on Regulation, Supply Chains
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We know that companies around the world are investing heavily in AI. So intense is the race to win the AI battle, that it feels like there's almost no upward limit on how much you could spend on it. So how are CFOs thinking about capex in the AI age? In this episode we speak with Winston Cheng, CFO of Chinese-founded multinational tech firm Lenovo. Lenovo is known for its personal computers, especially its Thinkpad line of laptops, but they are making a push to move beyond its role as one of the leaders in personal computing, integrating AI agents into their devices and investing in building out an “AI Cloud” infrastructure alongside Nvidia. We talk to Cheng about how Lenovo's allocating capital during one of the biggest capex booms in history. We also discuss involution and market competition in China, and how Lenovo's been adapting its supply chain to tariffs.
Read more:
AI Sales Start to Justify Data-Center Spending Boom, Report Says
Anthropic Accuses Alibaba of ‘Illicitly’ Accessing AI Models
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The Strait of Hormuz has (mostly) re-opened! Crude prices are still up since the start of the war with Iran, but popular predictions earlier this year of $200-a-barrel Brent didn’t pan out. Why is that? We last talked to Rory Johnston, the founder of the Commodity Context newsletter, at the start of the conflict. And in that conversation he said that the Strait’s closure would lead to $200 oil if it persisted for any length of time. Today, he returns to tell us what he’s learned about the oil market since then. He explains the various factors that kept a lid on prices, including some re-routing, Trump jawboning, and (crucially) surprise import reductions from China.
Previous: Rory Johnston on How Oil Could Surge to Over $200 a Barrel
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The last time the World Cup came to the US was 1994. Before then, the World Cup was an enormously popular event with surprisingly limited commercial significance; the 1990 tournament in Italy, for instance, lost money for broadcasters. But that all changed in 1994, when American companies sought to make their mark in the form of advertisements and sponsorships: firms like McDonalds, Mastercard, and General Motors saw the potential to reach a global audience through one of the world's most watched sports events. Today, we speak with Joey D'Urso — a freelance sports journalist and author of the recent book More Than A Shirt: How Football Shirts Explain Global Politics, Money and Power — about the 1994 World Cup and this year's competition, which is being held jointly, by the US, Canada, and Mexico. We also talk about other surprising stories of corporate and geopolitical influence in the world of football.
Read more:
Unilever, Pepsi Tap Celebrities, Players During World Cup
Mexico’s Sheinbaum Invites Merlín the Duck to National Palace Amid Soccer Craze
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China's AI industry has changed a lot since DeepSeek released its cheap frontier model last year, and briefly sent US tech stocks falling. After being locked out of the most advanced chips, Chinese companies are now allowed to buy some Nvidia H200s. In fact, many of the big Chinese tech companies — like Baidu — are making a push to become full-stack players, with their own chips, models, and cloud infrastructure. Today's guest is Grace Shao, an independent AI researcher and the author of the AI Proem Substack. She's a bit of an insider when it comes to China's AI industry, and when we were in Hong Kong we spoke with her about the latest in open-source models, the competition among Chinese frontier labs, DeepSeek's place in an increasingly crowded Chinese AI market, China's manufacturing edge, where bottlenecks exist right now (spoiler: it isn't data centers), if Chinese grandmas are actually using OpenClaw, and finally, of course, AI psychosis.
Read More:
China AI Lab’s 170% Stock Surge Cements Winner-Loser Pair Trade
China Plans Mechanism to Evaluate AI Impacts on Job Market
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We closed out our New York live show on May 28 with a panel that featured three of our favorite Substackers: James van Geelen of Citrini Research, Sam Ro, founder of The TKer, and journalist Jasmine Sun. They've all been Odd Lots guests before, and we wanted to get them together to discuss how journalists and analysts are supposed to cover this incredibly strange and highly pressurized moment in markets. Not only has AI basically infected every corner of the world, the media included, but there's just so much news that it's sometimes hard to figure out what the focus should be. But James, Sam, and Jasmine have all found their own niches, and cover AI in a really unique way. This panel discussion debates how the media has covered fears over the AI bubble and the possibility of mass job loss, if people in Silicon Valley are scared about the future of society, if AI can really mimic a writer's voice and personality, and (if they can) how writers can hedge against that future.
Read more:
Amazon in Talks to Sell Custom AI Chips in Bid to Undercut Nvidia
AI Company Dream Triples Value to $3 Billion in Funding Round
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There’s a lot to unpack with AI right now — everything from its potential impacts on the labor market and society to more extreme questions about existential risk. Anthropic, which builds frontier models like Mythos, Fable, and Claude, is actively grappling with these issues, including whether governments should limit AI development. Just last week, the Trump administration forced Anthropic to block foreign access to its two leading models. In this episode, we speak with Jack Clark (co-founder and head of public benefit) and Peter McCrory (head economist) about how Anthropic approaches safety and economic risks. We talk about its preparations for recursive self-improvement, the engineers it's hiring now, and why Jack left Bloomberg to enter the early AI industry.
Read more:
Anthropic Lays Out Vision for How to Bolster AI Models’ Safety
Microsoft Makes Big AI Inroads in China by Selling OpenAI Models
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Jeremy Grantham, co-founder and long-term strategist of GMO, has a long history of calling bubbles. As he recounts in his new memoir, The Making of a Permabear: The Perils of Long-Term Investing in a Short-Term World, that includes spotting the dot-com bubble of the early 2000s, which some people see as analogous to the current excitement over AI. And when it comes to today's market, there are a lot of signs of frothiness you could point to. In this episode, we speak to Grantham about how he sees markets right now, including a watershed change for Big Tech stocks, the signs he watches out for to spot when a bubble might burst, and what really keeps him up at night.
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An interim deal to reopen the Strait of Hormuz offers relief, but Asia’s economic woes are far from over. Beyond the chokepoint, the conflict has forced long-lasting shifts in Asia’s food and energy flows.
On today’s Big Take Asia podcast, Oanh Ha joins Odd Lots co-hosts Tracy Alloway and Joe Weisenthal to discuss why Asia is reeling from the conflict and what the “new normal” looks like for global supply chains.
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When we spoke to DRW's Don Wilson last year, he talked about building out a GPU market that might be bigger than oil. Now, a year later, he is working with Carmen Li to do just that. Li is the CEO of two companies — Silicon Data and Compute Exchange (where she works alongside Wilson). The former company is building the index for GPU pricing while the latter is a spot marketplace for GPU procurement. Today's episode — recorded at our live show at City Winery in New York — gets into how Li is building a whole new market for GPUs at her two companies. We talk about the challenge of standardizing compute, GPU price volatility, if used GPUs are like used cars, what goes into constructing a GPU index, and what it means to win the GPU lottery.
Read more:
Jane Street Plans New Data Center as Computing Power Runs Scarce
SpaceX Inks $30 Billion Computing Power Deal With Google
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Anjney Midha wrote the first check to Anthropic. He teaches a viral course at Stanford on how AI works. And he was, until recently, a partner at a16z. In other words, he is AI-industry royalty. Midha's new project is AMP PBC, a company that believes it can radically lower the price of compute. To accomplish that, he is working on building a compute grid that turns GPUs into a standardized utility. But right now, compute is too fragmented. It's too heterogeneous. And given the way contracts are structured, he says that labs are being forced to spend money on capacity that often goes unused. In other words, small labs are forced to pay up for big, long-term contracts, even though their own demand (particularly during model training) may be very spiky. On this episode, Midha explains how the market for compute currently works and why he believes there's a software solution that could significantly improve compute utilization. He also tells us why he does not anticipate one company will emerge as the dominate player and that instead we'll have a wide range of models, each optimally used in specific applications.
Read more:
Amazon Says Its Data Centers Use 2.5 Billion Gallons of Water
Oracle Falls Most in Six Months on Mounting Data Center Costs
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The hay market is not a transparent market: It is very fractured by types of hay, whether it is alfalfa or clover hay. There are a few opaque, illiquid markets like this — scrap metal for instance — that require some hands-on investigating to figure out. Aiden Johnson is co-founder and CEO of the HayWire newsletter, which aims to make the hay market more transparent: He and co-founder Cole Glasgow use an AI model to mine public data sources — like USDA reports on auction prices across different regions — to produce a weekly newsletter on the hay market. On this episode, we speak with Johnson as he explains why he chose hay over other kinds of markets, how HayWire was made possible through vibecoding, networking with hay farmers, why the ROI of owning a horse is dropping with hay prices spiking, and why hay demand keeps on tightening.
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In April, the price of tomatoes was around $2.69 per pound — the highest seen in some four decades. And tomatoes aren't the only food getting more expensive. From cauliflower to lettuce, fresh produce is spiking all over the place. So what's driving the price spike? And what can tomatoes teach us teach about America's political economy including changes in trade and tariffs? Our guest today is Jacob Krempel, senior vice president of procurement and merchandising at the wholesale food distributor Baldor, and an expert in securing fresh produce. We talk to him about where America's tomato supply actually comes from, why consumers are paying more and more, how restaurants navigate price fluctuations, and the influx of novel new tomato varieties.
Read more:
The Recipe for a Power Restaurant Has Changed
The Latest Snack Innovations Are Basically Just Creamsicles and Chex Mix
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When we last spoke to Brannin McBee, the co-founder and chief development officer of cloud company CoreWeave, his business was not yet public and sourcing GPUs was a key constraint on growth. But three years later, things look pretty different. CoreWeave IPOed and has been raising money in the bond market too, as well as signing more deals with chipmaker Nvidia. In fact, investors have basically been throwing money at all-things-AI. But there are persistent bottlenecks to further growth. Chip supply is still scarce, but so are transformers and electricity. In this episode, we catch up with Brannin on everything he's seeing in the market for compute right now, including leases, Nvidia's new Vera Rubin systems, demand for training versus inference, and the possibility of standardizing the market for compute.
Read more:
Trump Officials Worry US Loophole Let Chinese Firms Buy Nvidia Blackwell Chips
Broadcom Slides Most Since January 2025 on AI Outlook Miss
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Prediction markets that enable you to bet on pretty much everything are everywhere nowadays. But there's still a big question over whether they can expand to include larger institutional investors like hedge funds. Part of the problem is that a lot of prediction market contracts are illiquid and trading volumes can sometimes be shallow. That's where trading firm Susquehanna International Group comes in. In this episode, recorded live at New York's City Winery, we talk to Jeremy Maletz, Susquehanna's head of macro trading and prediction markets, about the firm's market-making business with Kalshi. We talk about how big investors could use prediction markets, what Susquehanna is seeing in terms of flows, how a market-maker hedges risk on these contracts, and how it makes money from them.
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Today’s episode, which was recorded at our recent live show at New York’s City Winery, follows up on a conversation we had with Iain Dunning, head of AI at Hudson River Trading. Last year, we talked about how his firm uses AI. Now, some seven months later, we follow up on how one of the biggest market makers around is deploying this technology. We talk about the price of memory, bottlenecks in compute, how much HRT employees are actually spending on tokens, why the firm might develop its own chips, as well as AI-induced delirium.
Read more:
Jane Street Plans New Data Center as Compute Power Runs Scarce
Nvidia-Backed Robotics Startup Generalist AI Valued at $2 Billion
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There's a lot of debate about the future of AI — not just whether it will produce the returns investors are expecting, but also if AI will lead to mass worker displacement. Big banks are the perfect prism through which to explore some of these questions. Not only are they deploying AI very quickly, but they have a wide range of workers who are using the technology, from back-office employees to junior analysts to the most senior investment bankers. In this episode, we speak with David Solomon, chairman and CEO of Goldman Sachs, about the impact of AI on the banking business, and why he does not predict a major white collar wipeout. We talk about the outlook for headcount, current conditions in capital markets, and the bank's role in the upcoming SpaceX IPO and Alphabet's historic equity capital raise. He also tells us about his early career in junk bonds and (because of his love of electronic dance music) how AI is transforming music production.
Read: Anthropic Picks Morgan Stanley, Goldman Sachs to Lead IPO
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We talk about the commodity supply chain all the time. We talk about the ports and the trucks and the ships and all of that. But there's another dimension to moving commodities all around the world, which is actually paying for it. Who funds the oil tanker and what happens when that tanker is, say, stuck in the Strait of Hormuz? Commodity finance underpins production, transportation and storage of a wide variety of the things that make the modern world, but you tend to only hear about it when things go wrong. Today we speak with Lewis Hart, head of corporate advisory and banking at Brown Brothers Harriman. We discuss how the business of commodity finance actually works, how risk is priced, what makes for a good or bad warehouse, and the difference between financing a commodity you can hedge (like oil) versus one where's there's no futures market (like cashews).
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Rope is easy to take for granted. It seems obvious and straightforward. But of course, it had to be invented. Early humans discovered that by twisting fibers around each other, the resulting structure would be something durable and strong. Without rope, all kinds of things aren't possible, from lifting objects into the air to whaling or modern bridges. So how was it developed and what were the big breakthroughs in its history? On this episode, we speak with Tim Queeney, the author of the recent book Rope: How a Bundle of Twisted Fibers Became the Backbone of Civilization. He walks us through the history of the technology, and its ongoing evolution, including how it might one day allow to build an elevator into outer space.
Read more:
Japan Cablemaker Rout Exposes Cracks in AI Infrastructure Rally
Why Huawei’s New Chipmaking Plan Has Investors Buzzing
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There's been a massive selloff in the bond market and rates are rising all around the world. Japan, Korea, the UK... You name it. Gita Gopinath, Harvard economics professor and the former first deputy managing director of the IMF, has long warned that bond markets are "in a fragile place." She sees a confluence of demographics, high levels of public debt, and the intense capital needs of the AI boom creating inflationary pressure all around the world. Today we speak with Gopinath about the seeming disconnect between stocks and bonds and why investors may be wrong to assume that governments will have their back the next time there's a major shock.
Read more:
US Bonds’ Return to Pre-War Calm Fuels Bets It’ll Be Short-Lived
China Sells $885 Million of Green Bonds in Hong Kong Debut
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We love talking about money. And of course, we love talking about the dollar, in all its varieties — from bank deposits to eurodollars to stablecoins. But what fundamentally is a dollar and who actually controls it? To understand these questions, you need to understand how the dollar was born. Journalist (and current Ph.D. candidate in financial history) Brendan Greeley argues not only that the dollar is older than you might suspect, but that the dollar long precedes the United States itself. In fact, the word is derived from German, referring to a Spanish currency made from silver found in Mexico. In this episode, we discuss Brendan's new book, The Almighty Dollar: 500 Years of the World's Most Powerful Money. He explains not only the dollar's surprising history, but also what actually backs the US dollar and gives it purchasing power.
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As our listeners know, restaurants are great microcosms for macro-economic trends. They sit at the intersection of everything from consumer confidence to commodity costs to the labor market. So on our recent visit to London, we wanted to learn about the business of pubs. According to the British Beer and Pub Association, approximately two pubs a day have closed in England during the first quarter of 2026. Could pubs tell us something about larger trends in the British economy? And when it comes to the day-to-day operations of the business: How is a pub different from a regular bar? And how are publicans — pub managers — dealing with the era of the £10 pint? Today's episode is a special two-parter, devoted to the business of pubs. We talk to Oisin Rogers and Ashley Palmer-Watts, co-founders of the Devonshire, a famed London pub. The first part is with Rogers, who is the publican, and we discuss the difference between a good and bad pub, why he hates the word 'gastropub,' and how the indoor smoking ban changed the meaning of pubs for the average Londoner. Second up is a segment from our London live show with the Devonshire chef Palmer-Watts, who tells us about the complicated confluence of factors — from temperature to the right mix of gases — that lead to a perfect pint of Guinness, why higher ingredient costs (whether it's beef or scallops) don't always correlate to higher menu prices, and making a Victorian-era meat fruit for Apple's Jony Ive.
Read more:
Reeves Floats Price Freezes on Food in Bid to Cut UK Bills
Inflation Resurgence Squeezes US Voters as Gas, Food Prices Rise
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Not many people think of designing buildings as an exercise in economics, but the entire process is defined by constraints around resources (both physical and financial), and an iconic building can also have a huge impact on the wealth and development of the area around it. So how do you encourage private developers to consider the public good when designing new projects? And how are some countries able to encourage more landmark building projects than others? In this episode, we speak with Norman Foster, renowned architect and founder of Foster + Partners. We talk to him about how constraints impact his own design process, how building budgets actually work, what makes a building successful in the long run, why China keeps completing mega-project after mega-project, and why places like the UK and the US are now struggling to keep up.
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A short seller is a gumshoe who roots out a particular story about a specific company and brings it to light. And Fahmi Quadir, the founder and CIO of Safkhet Capital, has been labeled "The Assassin" for being one of the most famous, successfully betting against companies like Wirecard and Valeant. In today's conversation with Quadir, recorded at our live show in London at Wilton's Music Hall, she dishes on what life is like for a short seller and why betting against stocks has been getting harder even during what she calls a "golden age of fraud." She also reveals that she's going long for the first time ever by investing strategically in one of the world's best-performing markets.
Read more:
Korea Exchange Is Said to Launch Weekly Options on Single Stocks
Swiss Pension Fund Eyes $1.1 Billion Private Credit Investment
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Size is the name of the game for the AI chipmaker Cerebras: Their chips are truly massive, about the size of a dinner plate. According to Andrew Feldman, CEO and founder of Cerebras, that is about 58 times larger than the average chip. That sheer size enables blazing fast inference for AI queries. Feldman joins us on the week of his company's IPO to talk about his core product and how it fits into the AI boom. We discuss the history of the GPU, competition between open-and closed-source models, the company's relationship with with TSMC, and more.
Read more:
Nvidia Tells Skeptical Investors That AI Is Ready to Go Mainstream
Trump Set to Sign AI Cybersecurity Directive as Soon as Thursday
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It is hard to have a markets conversation that isn't out of date within a minute or two. But we think this one, with Ozan Tarman and Aditya Singhal of Deutsche Bank, is basically evergreen. This conversation, recorded at our live show at Wilton's Music Hall in London, is all about fundamentals: How Tarman, DB's vice chair of global macro, and Singhal, the firm’s head of EM trading across rates, FX and Credit, make sense of conflicting headlines, whether the rally in tech stocks is to be believed, the tug of war between fast money and central bankers, and how traders are evaluating the difference between the AI models coming out of the US and China.
Read more:
Global Inventory Race Intensifies in Shadow of the Iran War
Emerging Carry Trade Rebounds, Top Picks Include Real, Rand
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Whether it's the price of a barrel of Brent crude or a pound of beef, it's clear prices are skyrocketing for all kinds of goods and commodities. Price shocks and shortages are, if anything, the way consumers understand the economy right now — at the grocery store or at the gas pump. Certainly, current (and future) shocks can be explained by the closure of the Strait of Hormuz. But the environment is weirder than just across the board price increases: The price of corn has barely moved, for instance, while fertilizer just keeps going up. We have not one but two perfect guests to talk to us today, our favorite commodity specialists: Bloomberg Opinion columnist Javier Blas and Lorcan Roche Kelly, the business editor at Irish Farmers Journal. Today's episode — which was recorded on stage at Wilton's Music Hall in London as part of our first ever show outside the US — covers how the world's farmers feel about US trade policy, why today's energy shock is so different from 2022's, the true impact of the UAE leaving OPEC, and why it's going to get harder to buy hard cheese in the near future.
Read more:
Global Bond Selloff Worsens as Rising Oil Prices Spook Investors
China Allows Exports for 425 US Beef Plants, Trade Group Says
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The internet is made for shopping. For years, the main inputs for e-commerce transactions involved targeted ads, algorithmic recommendations, SEO, and lots of mindless scrolling. But agentic commerce might represent a sea change for e-commerce: With the rise of AI agents doing shopping on behalf of consumers, how are retailers going to adapt? John Collison, co-founder of the financial services and payment processing company Stripe, has first-hand experience with all the ways e-commerce has changed in the last decade, and he thinks agentic commerce is going to completely transform the online shopping experience. On this episode, we speak to Collison about how AI has already changed the way consumers make purchasing decisions, why keyword search is a "ridiculous" way to find things to buy, what it means when brands will have to appeal to AI agents as opposed to human buyers, and if AI agents can truly mimic human taste.
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Making a long career as a bear at a sell-side institution is tough. Generally financial markets have done quite well which means forecasting doom and gloom is, usually, only tenable for so long. Which is why we wanted to talk to one of the most successful bears out there. Société Générale has let Albert Edwards out of the bear cage for today's episode. Edwards knows his reputation as a bear is well deserved: He believes, among other things, double-digit inflation is in the offing. We also talk about the attention span of readers on the buy-side, what success looks like for a bear, and how a bear avoids getting fired.
Read more:
Boeing Falls After Trump Unveils Smaller China Aircraft Order
BOE’s Pill Says Strong Iran Price Pressures Warrant Rate Rise
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Last year, when we talked to Martin Wolf, the global order seemed like it was being upended after President Trump unveiled his sweeping tariffs against nearly every US trading partner. A lot has happened since then. In fact, April 2025 seems almost quaint when compared to 2026 so far, from the Supreme Court's tariff ruling to the US-Israel war with Iran. The war's effect on the world's economy is at once stunning and utterly strange: even as the prices of major commodities — oil chief among them — rise, the markets seem unaffected, closing at record levels in recent weeks. Today we speak with Wolf, the chief economics commentator for the Financial Times, about all this chaos and why, so far, it seems disconnected from the logic of the market. There is, he says, a great deal of ruin in the world economy, but growth remains a constant fact of life. Why is that? There's no straightforward answer, but to begin understanding how we got here, Wolf takes us to the early 20th century and paints us a picture of the world after the two World Wars. We also talk about the "terrifying" power that the US wields over the globe, how a fragmented Europe is navigating anxious relationships with both the US and China, the Faustian bargain AI represents, and much more.
Read more:
Oil Inventories Falling at Record Pace on Iran War, IEA Says
Undersea Internet Cable Projects Are Getting Tangled in the Iran War
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In 2006, then-Senator Ted Stevens coined an infamous term for how to understand the internet: It's a "series of tubes." The funny thing is, that's a fairly accurate description. Underneath the world's oceans, miles and miles of fiber optic-cables send packets of information from one location to the next, serving as the backbone of the internet as know it. This infrastructure is delicate, too: Memorably, a 2022 volcanic eruption cut off the island of Tonga from web access for an extended period of time. Journalist Samanth Subramanian is the author of The Web Beneath the Waves: The Fragile Cables That Connect Our World, a book that explains, in detail, that the internet is not, and has never been, truly weightless or wireless. In fact, the system in place right now is pretty old school and resembles the telegraph cable network of yore. We talk to Subramanian about the strange contradictions of the undersea cable system, how much basic marine geography — like the Strait of Hormuz or the Suez Canal — informs where cables are laid, and how hard it is protect this vulnerable and vital infrastructure.
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Ever since Covid, central banks around the world have had the same problem. They have tools that are designed to modulate demand, but so many challenges have involved the supply side of the economy. Whether we're talking about supply chain disruptions, the war in Ukraine, and now the war in Iran, these are all issues for which monetary policy is of limited value. Of course, the temptation is to "look through" these events, recognizing the fact that these disruptions don't say much about the actual underlying state of the economy. But when we get one shock after another, it gets harder and harder to keep using words like "transitory." On this episode we speak with Megan Greene, an external member of the Monetary Policy Committee at the Bank of England. We talk about the compounding effects of all these shocks (including the trade war and Brexit), how she's thinking about the first- and second-order effects of each, and why for now, despite the underlying weakness of the UK economy, she remains squarely focused on the risks of higher inflation.
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Today's guest Mariana Mazzucato is one of our most requested. Mazzucato, a professor of economics at University College London and the founding director of its Institute for Innovation and Public Purpose, specializes in the political economy of technological development and public sector investment. In our conversation, recorded in Madrid while at the Bloomberg CityLab conference, she explains her concept of the "mission economy," her definition of state capacity, how to prevent top talent from fleeing to the private sector, and whether consultants or governments should be blamed for inefficiencies and civic failures. It's a wide-ranging interview, one that covers everything from the initial public financing of Silicon Valley algorithms to the history of moonshots.
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The residents of Allentown are still sore about that Billy Joel song. While it's true the Pennsylvania city became synonymous with deindustrialization after the US steel industry began its decline in the 1970s, Allentown should be known for more: In the 1950s, for instance, some of the first mass-produced transistors were made in the city, which were the precursor of today's semiconductors. The city is also a unique logistics and e-commerce hub — it's a day's drive from nearly 40 percent of the US population. Mayor Matthew Tuerk, who has held office since 2022, has made reindustrialization a focus of his mayorship. In today's episode, recorded in Madrid at the Bloomberg CityLab conference, we speak to Mayor Tuerk about the city's grand strategy for building back and sustaining its manufacturing base, implementing industrial policy on a local level, how rezoning has changed in the last decade, the political puzzle of data centers, recruiting companies to come to Allentown, de-risking the American supply chain, and our favorite new category of industry — weight-gaining industries — which Allentown specializes in.
Read more:
New Brookfield Venture May Restart Abandoned US Nuclear Project
Texas Ranch Lures Futuristic Startups to Revive US Manufacturing
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Since Mayor Brandon Scott took office in 2020, he's fixated on a very visible problem in Baltimore: the tens of thousands of vacant homes that dot the city. It's hard to build new houses when there are so many that sit empty and unused. And the process of tracking down owners, convincing them to sell their vacant properties, and then converting those homes into usable housing supply is a tall task. In the last few years, the number of vacant homes in Baltimore has dropped from 16,000 to just over 11,800. On this episode — recorded in Madrid while we attended the Bloomberg CityLab conference — we speak to Mayor Scott about deindustrialization, redlining, and gun violence's historical effects on the current housing crisis, how his government identifies, block-by-block, redevelopment opportunities and matches projects with publicly-minded developers, and why Baltimore natives aren't huge fans of The Wire.
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Two years ago, Citadel's Ken Griffin paid almost $45 million for a stegosaurus skeleton, making it the most expensive fossil ever sold at auction. So why are dinosaur bones joining the collections of millionaires instead of museums? How does the private market for fossils actually work? And how similar is it to the market for art and other antiquities? In this episode, we speak with Salomon Aaron, a director at London-based gallery David Aaron, where he is the gallery's in-house broker for dinosaur fossils. We talk about how fossils are found and priced, what it's like to work alongside dinosaur hunters, how his gallery identifies potential buyers, and why Joe thinks something about the birds-to-dinosaurs evolutionary pipeline is off.
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The closure of the Strait of Hormuz has highlighted the potential for long-running theoretical chokepoints to turn into reality, with dramatic results for both geopolitics and the global economy. But the hypothetical scenario that policymakers have arguably been losing the most sleep over for decades is the prospect of a major conflict between China and Taiwan. So how likely is it, and what would such a conflict actually look like? On this episode, we speak with Eyck Freymann, author of the new book, Defending Taiwan: A Strategy to Prevent War With China, and a fellow at the Hoover Institution at Stanford University. We discuss Xi Jinping's strategy, whether Taiwan's "silicon shield" of semiconductor manufacturing can last forever, the state of Taiwan's domestic politics, and what the US can do to deter such a conflict.
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The last few decades have been marked by a number of megatrends in finance including the extraordinary growth of asset managers, the rising importance of technology, and the ascent of private markets. BlackRock, the world's biggest asset manager, is emblematic of all these developments. On this episode, we talk to BlackRock COO Rob Goldstein about the company's early technological history, the development of its famous risk management technology Aladdin, and how BlackRock is navigating being both a user and major provider of AI. We discuss his view of the 'SaaSpocalypse,' how BlackRock is thinking about token consumption and compute constraint, as well as the future of private markets.
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The private credit market has grown enormously fast in recent years — so much so that by some estimates it's now bigger than the market for junk-rated corporate bonds. So what's driven all that growth? What impact has private credit had on other types of corporate debt? And why are there so many concerns around the space right now? In this episode, we speak with John Sheehan and Craig Manchuck, two veteran portfolio managers for the strategic income fund at Osterweis Capital Management. We talk about the history of private credit before and after 2008, private credit's links with private equity and insurance, the prospect of higher defaults, and what to watch for right now.
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We live in an era of charts that are going up and to the right. This image obviously describes the stock market, particularly any company whose business is adjacent to artificial intelligence. But beyond stocks, another sort of chart we keep seeing is of AI capabilities also going up and to the right. The most famous and viral of these comes from an organization called METR, which stands for Model Evaluation and Threat Research. The organization is focused on understanding the degree to which AI models can engage in autonomous, complex tasks. METR see this is as a particularly important benchmark, given the risk that AI could one day be engaged in recursive self improvement, taking humans out of the loop. But how do you really gauge a model's ability to do complex problems. And what is being measured for exactly? On this episode, we speak with METR's President Chris Painter as well as Joel Becker, a member of the technical staff who works on evaluation methods for the organization. We discuss both the mechanics and the philosophy of METR's work, and what it means when we see a a chart showing that Clause Opus 4.6 can do a task that would take a human nearly 12 hours.
Read more:
DeepSeek Unveils Flagship AI Model a Year After Breakthrough
Meta Inks Deal to Use Amazon’s Graviton Processors for AI
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We're living in an extraordinary moment for Latin American politics. From the ousting of Maduro to the ongoing oil blockade of Cuba to Javier Milei revving up a chainsaw at CPAC. Various leaders in different countries are taking different approaches to their relationship with the US. Each is aware that there is a high value in being close to Trump, but also each know that Trump won't be the US President forever. So how should we understand the different approaches being taken? Today we talk to James Bosworth, who is the the founder of Hxagon, a company that does political risk analysis and research primarily in Latin America. He is also the author the Latin America Risk Report newsletter. Our conversation with Bos covered what he calls the "orange shift," a region-wide realignment towards dealmaking with the Trump administration. We discuss how Latin American leaders are dealing with inflation, why Mexico's Claudia Sheinbaum and El Salvador's Nayib Bukele are so popular, how Brazil's Lula has surprised economic observers, and whether Trump will be able to find a "Delcy" elsewhere in the region.
Read more:
Brazil Oil Driller Expanding in Venezuela as US Eases Sanctions
Mexico Inflation Slows Slightly, Keeping Another Rate Cut in Play
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Not too long ago, search engines were the dominant form of querying the internet. But that's changing since the rise of large language models like ChatGPT, Claude, and Google's Gemini. More and more people are getting their online info through AI, effectively bypassing the search bars of old and creating a tension for large tech companies that offer AI models, but also make money from web traffic and search-related advertising. In this episode, we speak with Elizabeth Reid, VP of search at Google. Liz has been with the company for more than two decades, witnessing multiple tech transformations in that time. So we talk with her about how Google is incorporating Gemini into search via AI overviews, what that means for traffic and ad sales, and the practical experience of search in an age of LLMs and internet slop.
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When it comes to the history of oil and energy, nobody is more famous or well respected than Daniel Yergin. He is the Vice Chairman of S&P Global, and the Pulitzer Prize winning author of both The Prize: The Epic Quest for Oil, Money, and Power and The New Map: Energy, Climate, and the Clash of Nations. So we had to get his insights on the war in Iran, and its historical significance. Yergin tells us that a "different world" will emerge from the crisis surrounding the closure of the Strait of Hormuz, regardless of the war's ultimate outcome. Iran's ability to control the Strait against a much stronger military is a demonstration that the balance of global power is changing, with profound ramifications for countries around the world. We discuss how different regions are being affected, and how it will change their calculus when it comes to energy security. We also talk about the AI industry's seemingly insatiable demand for electricity, and how this is rippling across the entire energy landscape.
Read more:
Oil Traders Warn of Recession Impact as Hormuz Hits Demand
China Aggressively Sold Oil in Recent Weeks, Mercuria CEO Says
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He's done it again. On Sunday night, building supply company QXO announced that it would be acquiring TopBuild for $17 billion. TopBuild sells and installs insulation for both the residential and commercial markets. For Brad Jacobs, the CEO of QXO, this is just the latest in a lifetime of deals he's made. In fact, he's made over 500 deals in his life across numerous public companies that he's founded, most of which have XO somewhere in the ticker. Brad's companies all tend to be highly focused on the so-called "old economy" or real physical world, but of course, as we've seen with the datacenter boom, the old economy is still hot and crucial. So we talk about the logic behind this deal, how the insulation market works, and the general state of the building supply market right now.
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The White House wants gasoline prices to be lower, and it wants to see American oil companies drill for more oil. But of course, these ideas are in tension. If prices are going lower, why drill more? This tension has only grown sharper since the shale busts of the mid-2010s, as American producers got burned multiple times by prioritizing production over profits. So what now? How do US producers think about the recent oil price spike? How are they thinking about the rising costs of their own production, due to higher energy, labor, and steel costs? On this episode, we speak with Jack McClendon, the founder and CEO of Siena Natural Resources, an independent oil and gas company that primary buys odd lots of wells from other companies. We talk about the long-term economics of the industry, including the central role of capital markets in determining how the industry moves. He also tells us whether the show Landman is realistic.
Read more:
Oil Tankers Hauling US Crude Via Panama Approaching 4-Year High
The US Oil Industry Doesn’t Want the Iran War Either
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Everyone knows that new technologies can be really disruptive to the labor market, but eventually new jobs emerge and things come back into balance. And there is a sense in which many view AI with the same lens. Yes, there will be pain in some sectors, but then there will be productivity gains and new sources of demand and new opportunities for labor that we can't conceive of yet. But could it be different this time? Could AI be disruptive in a manner that, say, the steam engine was not? On this episode we speak with Alex Imas, a professor at the University of Chicago focusing on economics and applied AI. We talk about his work on the AI and labor question, how to think about which jobs may be most at risk, and why the sheer speed of AI development could make it categorically different than prior general purpose technologies that came before it.
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There are a lot of things to be annoyed about in modern life. The high cost of food and housing and childcare. Dating apps that don't seem to work. The fear of AI replacing you at your job. These are all common complaints and concerns, and each of them can be traced to a specific economic phenomenon or market structure issue. Once you start thinking about the world in this way, you can't unsee it. In this episode, we speak with Planet Money co-host Mary Childs, and contributor to the podcast, Alex Mayassi. They've just written a book called Planet Money: A Guide to the Economic Forces That Shape Your Life. We discuss how one of Tracy's childhood memories was a reflection of the commodity trap, what Baumol's cost disease tells us about daycare, and why -- despite all these frustrations -- there are still many reasons to be optimistic about economic progress.
Read more:
Australia Secures Fertilizer From Indonesia to Meet Crop Needs
Kerrygold Butter Maker Sees Iran War Costs Hitting Consumers
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It's possible that the war in Iran could reshape financial flows in significant ways. Perhaps the Gulf states will end up as less desirable places to do business. Perhaps Iran will have a tollbooth at the Strait of Hormuz. Perhaps this episode will accelerate the world's shift away from oil. It's impossible to say. But given the uncertainty, fresh questions are being raised about the existing financial world order, upon the top of which the US dollar sits. On this episode, we speak once again with Brad Setser, the Whitney Shepardson senior fellow at the Council on Foreign Relations. We discuss how the war is already creating new global imbalances, and the degree to which this episode parallels past energy shocks. We also talk about broader trends in reserve management, other factors driving financial flows, and the unique situation facing East Asia, which is seeing a surge in its energy import bills at the same time its making making a fortune selling chips for the AI boom.
Read more:
US Probes Suspicious Oil Trades Made Before Trump Pivots
China’s $51 Trillion Savings Help Bonds to Outperform During War
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The war in Iran has caused the price of all kinds of commodities to surge, and that has a negative economic impact almost everywhere. But the squeeze is really being felt hard in East Asia, which is the ultimate destination for a lot of oil and gas that come out of the Gulf. And though the Strait of Hormuz may eventually re-open, and the acute pain may pass, this episode may already be reshaping the future. On this episode of the podcast we speak with Alex Turnbull, an investor based in Singapore, and a researcher on energy topics with the Australian National University. He argues that the war will accelerate the region's appetite to restart nuclear power plants, ultimately lessening its dependence on imported natural gas. He also notes that per his channel checks, the region is already seeing a jump in demand for electric vehicles, with BYD dealers holding less and less inventory on hand.
Read more: US, Iran Seek More Ceasefire Talks as Blockade Stops Ships
There Are No Easy Exits From Iran for the US
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It's fueling the A.I. bubble, it's coming to your retirement portfolio—and it's flashing a lot of warning signs right now.
In the wake of the 2008 financial crisis, private credit or “shadow banking” grew as an alternative to the regulations and shared risk that institutional banks operate within. What happens if a crisis hits the trillions of dollars that are outside of those guardrails? We may be about to find out.
Guest: Tracy Alloway, co-host of Bloomberg's Odd Lots podcast.
https://slate.com/podcasts/what-next-tbd
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