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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

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 Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots NewsletterJoin the conversation: discord.gg/oddlotsSee omnystudio.com/listener for privacy information.

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.See omnystudio.com/listener for privacy information.

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 Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots NewsletterJoin the conversation: discord.gg/oddlotsSee omnystudio.com/listener for privacy information.

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? Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox now delivered every weekday plus unlimited access to the site and app. bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.

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 Only http://Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlots Subscribe to the Odd Lots NewsletterJoin the conversation: discord.gg/oddlotsSee omnystudio.com/listener for privacy information.

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 TagOnly Bloomberg - Business News, Stock Markets, Finance, Breaking & World News subscribers can get the Odd Lots newsletter in their inbox each week, plus unlimited access to the site and app. Subscribe at bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.

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 RoundOnly Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox — now delivered every weekday — plus unlimited access to the site and app. bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.

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 MarketOnly Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox, plus unlimited access to the site and app. Sign up: bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.

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. Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox — plus unlimited access to the site and app. Sign up here: bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.

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. Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox, plus unlimited access to the site and app. Sign up at bloomberg.com/subscriptions/oddlotsSee omnystudio.com/listener for privacy information.