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
Last week, the US joined forces with Japan to try to stop the yen’s slide. It’s the first time the two sides have intervened in the Japanese currency in 15 years, and in many ways it was an unprecedented and unusual move, with Treasury Secretary Scott Bessent choosing to sell euros (as opposed to dollars) and the use of a little-known Federal Reserve repo facility. So why did the yen’s value drop so precipitously in the first place? And will this intervention be enough to stop it? Brad Setser, senior fellow at the Council on Foreign Relations, explains why the Bank of Japan initially refrained from raising rates, why East Asian currencies (not just the yen) have been so weak lately, the improving fiscal outlook for Japan, and what to look out for next.
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Bloomberg Opinion columnist David Fickling tells us you can think of tungsten mining as “a century old prediction market for war.” As he writes in a recent piece, tungsten is “a super-element that can determine the fate of nations.” While the commercial market for tungsten is fairly small, it can be crucial in war manufacturing, due to its high density and melting point. He learned more about tungsten mining, and its increasing geopolitical necessity, during a visit to Australia's Dolphin Mine, which has a history of opening up during times of war, and then closing again during times of peace. He explains to us why investors are once again interested in tungsten mining and why it's been so hard (over the last century) to sustain production outside of China.
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Insurers have quietly become a major driver of the private credit boom, with numerous private equity shops striking deals with insurance companies or buying them outright. But the entanglement with private credit is also changing the insurance industry itself, raising a number of questions about risk and regulation. Today we speak to Andrew Granato and Pranjal Drall, authors of a new paper, “Private Credit's State Backstop: How Private Equity Socializes Risk Through Insurers," examining the relationship between private credit and insurance. Granato (an assistant professor at the UT Austin Law School) and Drall (JD-PhD student in Financial Economics at Yale) talk to us about how PE got so interested in insurance in the first place, how both sides benefit from the relationship, and why taxpayers might ultimately be on the hook.
Read more:
Blue Owl Surges as Leaders Stress It’s More Than a Direct Lender
Ares $29 Billion Private Credit Fund Sees Uptick in Non-Accruals
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After the Iranian Revolution of 1979, the country's new leaders — religious and political — promised to redistribute the country's wealth and made moves to make Iran independent from western influence and business interests. In the decades since, Iran's economy completely transformed, and it is closer to what Yeganeh Torbati and Bozorgmehr Sharafedin describe as a "mafia state," where fealty to various factions is baked into the country's political economy. In their new book Stolen Revolution: Betrayal and Hope in Modern Iran they trace the massive changes Iran's political economy has undergone since the revolution, and they speak to us today about this history, how average Iranians navigate everyday cronyism, how Iranian leaders treated the country's burgeoning tech sector, and why the recent peace talks might not change all that much about how the country's economy currently operates.
Read more:A New Age of Missiles Reshapes Battlefields Around The WorldUS War With Iran Set to Drag On for Months Over Hormuz Deadlock
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It's pretty obvious by now that globalization has fallen out of favor. And while many pundits have deemed economic globalism dead, we are still figuring out what to call this new era. Branko Milanovic's chosen phrase is "national market liberalism," a term that sums up how a world once defined by the free movement of capital has begun to contract as the most powerful governments have come to favor mercantilism and nationalism. In his new book, The Great Global Transformation: The United States, China, and the Remaking of the World Economic Order, the famed economist explains what comes after globalization. He talks to us about China's economic evolution, the pressure it has put on elites in the West, and much more.
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Over the next two decades, more than $100 trillion will change hands in the greatest wealth transfer in history. This is a massive opportunity for financial advisors, both new and established. This conversation provides detailed, research-backed information and practical advice for financial advisors who are considering their next move. Produced by Bloomberg Media Studios and Prudential Financial, this roundtable discussion provides clear and honest perspectives on the changes that are coming.
Guests on the show include:
David Blanchett, Head of Retirement Research with Prudential Financial, and Portfolio Manager with PGIM
Brittney Castro, CFP, AAMS, CRPC, Financial Expert and Speaker
Chelsea Ransom-Cooper, Co-Founder and Chief Financial Planning Officer with Zenith Wealth Partners
Maggie Lake, Financial Journalist
Research sources:
Cerulli Associates: U.S. High-Net-Worth and Ultra-High-Net-Worth Markets, 2024
Cerulli Associates: The Cerulli Edge, U.S. Retail Investor, 2023
Alliance for Lifetime Income: Protected Retirement Income and Planning Study, 2024
Prudential Communications: Global Retirement Pulse Survey, 2025
For more about this series visit us at:
https://sponsored.bloomberg.com/media/prudential/the-great-client-transfer
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When the fast food industry began booming in the 1950s, it did so via a new business model known as the franchise. This model allowed independent operators to license trademarks from a business like McDonald's or Dunkin Donuts, and it soon spread across the country, with huge consequences for how Americans are employed. Legal battles fought by franchises eventually opened the door to what's now known as the gig economy, allowing Uber drivers to be treated in much the same way as the operator of a local Chick-fil-A. To better understand the history of the franchise model, we speak with Brian Callaci, chief economist of the Open Markets Institute, and author of the book Chains of Command: The Rise and Cruel Reign of the Franchise Economy. Callaci helps break down how the franchise model works, how franchise contracts are structured to precisely dictate how franchisees are supposed to run their businesses, the relationship between the franchise model and gig work, as well as how franchises pioneered worker surveillance.
Read more:Taco Bell Traffic Sinks After Lettuce Tied to Parasite CasesChicken Back on Menu as Cyber-Hit Nichirei Restores Operations
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There used to be a time when the latest product release from Apple was a huge deal. But lately, it's been kind of 'meh,' and a lot of the hype in the tech world has been directed at companies doing things with AI. For better or worse, Apple seems to have largely missed the AI boom. But there are signs things might be changing. In addition to appointing John Ternus as the new CEO to replace Tim Cook, Apple is expected to unleash a slate of new products, including AirPods with cameras and foldable phones. Meanwhile, it's also raising prices on a bunch of its devices for the first time in its history, thanks to a shortage of memory. So can Apple recapture the hype and find new products to entice customers? In this episode we speak with Mark Gurman, managing editor for consumer tech at Bloomberg and one of the world's most prominent Apple-watchers. We talk to him about Apple's AI strategy, the origins of the OpenAI and Apple legal battle, what to expect with Ternus in the CEO seat, and when and why iPhones stopped being a sexy piece of hardware.
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2026 has been, in terms of software, the year everyone is talking about Claude Code. Indeed, Anthropic's coding agent incited a market scare — and helped usher in the era of vibe coding — through its promise of streamlining software development for both pros and amateurs. Famously, Claude Code began as a side project of Anthropic led by Boris Cherny, who speaks to us today about the early days of Claude Code and how he and his team approach building an agentic coding tool. We also talk about the business aims of a harness like Claude Code, safety and alignment research, the specific skillset he looks for in engineers now that code writing is a deemphasized skill, and what happens when Claude Code feels more like a co-worker than a tool.
Read more:For Software Engineers, the AI Reckoning Is Already HereDimon Warns of Broad Mythos Access, Calling It a Real Issue
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Last August, President Trump made the unprecedented choice of moving to fire Fed governor Lisa Cook. The administration claimed she was being terminated with cause, citing an ongoing investigation in alleged mortgage fraud committed by Cook. The legal battle between Cook and the administration has been tangled in the courts for the last year, eventually reaching the Supreme Court. This June, in a 5-4 decision, the court ruled in favor of Cook. However at the same time, in a different case, the court allowed the President to fire individual members of the FTC, undermining its role as quasi-independent body not beholden to the executive branch. So what are the implications here? How can the court change the status of a body like the FTC while allowing the Fed to continue operating as is? And for how long will the Fed maintain some amount of operational autonomy? On this episode we speak with Columbia Law School's Lev Menand who just wrote a piece on these two cases for Just Security called The Federal Reserve Exception to the Slaughter Rule as well as Nathan Tankus (writer and president of Notes on the Crises). The two of them lay out the consequences of these two decisions and they dig into the generations-long legal history, starting with Alexander Hamilton, that explains how we got here.
Read more: Can Trump Still Fire Lisa Cook After Her Supreme Court Win?
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American sports fans have long been comfortable talking in the language of stats and analytics. Soccer embraced the 'moneyball' revolution later; the sport was once perceived as too complex to model analytically — there were too many players on the pitch, the game's progression was too random and chaotic to reliably predict. That's no longer the case, and soccer watchers are well aware of stats like xG (Expected Goals) and each match is an opportunity for a team to mine data, whether its tracking data, on-ball data, or even analyzing body poses and movement. Today, we speak with two soccer analytics veterans, Mike Treacy (head of risk at Apex Fintech Solutions) and Joris Bekkers (a soccer analytics consultant). Treacy's background includes a stint in analytics for a Premier League team and he's currently advising the MLS team Austin FC while Bekkers has built software that analyzes raw soccer data and he's worked with the US Soccer Federation. We talk to them about how VAR has affected the sport, how data analytics can capture ineffable things like hustle, how European leagues and the MLS differ in their analytics strategy, and why chess and soccer are not so dissimilar.
Read more:The Lawyer Taking On StubHub Over World Cup Ticket SalesPolymarket Partners With Crypto Firm During World Cup
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On July 14, New York Governor Kathy Hochul announced a one-year moratorium on new large data center projects in the state. It's the nation's first such pause at a time when anti-data center politics is on the rise around the country. But Hochul insists that she's not anti-AI, and that she's an avid user of the technology, as well as a believer that it can be a force for economic growth. On this episode, we talk to Hochul about the logic of the pause, and what she hopes it will achieve. We also discuss energy and housing stress in the state, and what it would take for New York to welcome in driverless cars.
Read more: Meta’s Louisiana Data Center to Surpass $250 Billion Price Tag
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It seems obvious that among the many industries that AI might disrupt, the legal profession might face some of the most adverse outcomes. When clerical, research-based tasks like searching through databases and reading contracts are automated, what is left for lawyers to do and how might they justify all those billable hours? In this episode we speak with Gary Wingens, chair and partner at the law firm Lowenstein Sandler. He talks about how his firm is using AI and why he thinks the technology could end up increasing legal work for lawyers as costs come down, creating a sort of “Jevon's paradox” for lawsuits, deals and litigation. We also talk about the billable hours model and training junior talent.
Read more: AI Legal Startup Norm Valued at $1.2 Billion Funding Round
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Retail participation in the stock market is booming. And of course the biggest story in markets is the AI trade, which has created an incredible amount of demand for chips and memory. These two broad themes have come together in the form of leveraged, single-stock ETFs. And while these products are popular in the US, the scale coming out of Korea is enormous. It's a good week to talk about this intersection, because some of the biggest stories of the week include Samsung's earnings and SK Hynix's new US listing. Barclays's Global Head of Equities Tactical Strategies Alexander Altmann has used the word “terrifying” to describe the amount of notional exposure coming from these levered ETFs. He explains to us why that is and we talk to him about why, in such a short period of time, the world of levered ETFs has gotten to be so large, with AUM increasing threefold in Asia alone. He also us gets into how he is thinking through risk management and how we as society — and retail investors in particular — got to be overexposed on equities and why that keeps him up at night.
Read: SK Hynix’s $26.5 Billion Listing Reopens Asia Route to US Market
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We've gone through a number of a technological revolutions in investing, whether it was the dawn of the high frequency trading era or the introduction of robotraders. When it comes to AI, the big question that remains in the investment context is whether or not the technology will be implemented like those past tech innovations — meaning it will be integrated into the flow of the business without upending everything as we know it — or if AI will transform the very nature of investing. Right now, AI's use in investing is a mixed bag: People are excited about its potential, but several firms are still trying to figure out its value. Today, we speak with Man Group's CTO Gary Collier and Head of Data and AI Tushara Fernando about how one of the largest publicly-traded hedge funds in the world is actually implementing AI into its work. We speak with them about empowering their quants with AI tools, the challenge of integrating AI safely, and the creative ways their staff is thinking about token spending, which is up 86-fold this year.
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Here's a couple things about prediction markets. A lot of it is pure gambling and speculation, much of it on things with very little economic relevance. Another fact is that in all likelihood, if you yourself started trading right now, you'd probably lose your shirt. But there is money being made by some dedicated traders, really focused on areas like politics and economics. On this episode, we speak with Brian Golden and Daniel Reichman, who are part of a private Discord called Maga Kiwi Club, where serious prediction markets traders swap ideas and make real money. We discuss the remarkable efforts they go to in order to spot opportunities, the systematic biases among traders, how they feel about insider trading, and other major issues that surround the space. Alongside Brian and Daniel, we also speak with NYC-based journalist and producer Adam Iscoe, who recently profiled these traders for The New York Times Magazine.
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In June, grocery giant Aldi opened a store just off of Times Square in Manhattan. It's the company's first location in Midtown and, according to their US Chief Commercial Officer Scott Patton, Aldi has to orchestrate a "logistical symphony" to get groceries into the middle of one of the busiest places in America. For instance, they use shorter trucks to navigate the tight corners of New York City streets. On this episode, we speak with Patton about what it took to open this specific Aldi and why they chose a busy tourist location like Times Square. He also explains how the company — famous for its low prices — is able to sell even wagyu ground beef at a consumer-friendly price point, how the mostly private-label grocer thinks through which name brands to incorporate into their stock, Aldi's cult-favorite "Aisle of Shame," a short history of barcode innovation, and how GLP-1s are changing consumer habits.
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There's this weird contradiction that hovers almost all conversations regarding the Chinese economy. On the one hand, the growth and rising material prosperity is undeniable. And of course, Chinese industrial giants are at the frontier in all kinds of things, like batteries. On the other hand, you always hear about a soft domestic market, and a general state of unease among workers who fear that precarity is around the corner. So how is this contradiction explained? And how does it affect day-to-day life? On this episode, we bring back one of our regular guests Dan Wang, who recently returned from a long trip to Shanghai. We discuss his observations, the general ennui he saw, the signs of domestic weakness, and the way in which phone culture is reshaping Chinese society.
Read more: It’s Too Soon to Breathe Easy on China’s Economy
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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 SupportUS 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 NvidiaAI 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 WaterOracle 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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