Odd Lots Bloomberg

When most investors think of due diligence, they think of sifting through years of financial statements and crunching numbers to better understand a company's potential. Not many people think about interrogating senior executives and employees, and asking the right questions to figure out whether they're telling the truth about the business model. In this episode, we speak with Phil 'Dick' Houston, a veteran CIA officer who's been called the human lie detector. Phil literally wrote the book on how to spot lies, and has been a long-time collaborator of entrepreneur and serial acquirer Brad Jacobs, helping him with due diligence on both senior hires and potential investments. In this episode, Phil explains his strategy for identifying deceptive behavior and how it can be applied to the corporate world.
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 AI is all the rage right now. There are billions of dollars now flowing into the space, with large and small companies all competing to create the next big thing. But in addition to lots of money, building new AI models requires top-tier researchers. So, who's attracting the best? And what does it take to be considered top talent in AI anyway? On this episode we speak with Damien Ma, managing director at MacroPolo, the in-house think tank of the Paulson Institute. Damien helps put together MacroPolo's Global AI Talent Tracker, which monitors the flow of top-tier AI researchers around the world. We discuss who's winning the AI talent war so far, the purported talent drain in China, competition from India, and much more.
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Over the last year or so, probably every venture capitalist has become interested in artificial intelligence. So people are still figuring out what types of business models actually work, and who will end up making money in the space. Josh Wolfe has been at it for a long time. As a co-founder and managing partner at Lux Capital, he's been involved in a number of deals in the space, and is already looking at what's next after the wave of excitement for chatbots since ChatGPT was released. On this episode, we talk to Josh about what he's excited about right now, including robotics, biotech, and maintenance. He tells us that just as ChatGPT opened everyone's eyes to the power of chatbots, a similar moment is coming in the robotics space.
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At the end of 2023, there was a lot of optimism that the US economy was on that glide path to a soft landing. But at least in the first quarter of this year, inflation has come in hotter than expected. So is this just a speedbump on the way back down to 2%? Or is this a new trajectory for inflation that will make the Federal Reserve rethink its existing approach? On this bonus episode of Odd Lots, we caught up with Richmond Fed President Tom Barkin in Mount Airy, North Carolina, to get his assessment of the latest data, and what it means for policy. He explains why he thinks policy is still restrictive, and why he doesn’t see evidence yet of overheating demand.
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On June 2, 2024, Mexicans will go to the polls to elect a successor to current President Andrés Manuel López Obrador. His chosen successor, former Mexico City Mayor Claudia Sheinbaum, is the odds-on favorite. But what is AMLO’s legacy exactly? In some sense, economic growth under his administration has been robust. On the other hand, there’s been very little progress on domestic security. He also leaves a legacy of massive spending routed through the military, whose fruits are still undetermined. On this episode, we speak with Bloomberg News reporter Andrea Navarro, who has dug deep into how AMLO has conducted economic policy, his approach to industrial and fiscal policy, and whether Mexico is now in a position to ride the ongoing wave of trade with the US and the nearshoring of international supply chains.
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Over the last few years, users of the popular ADHD drug Adderall have been frustrated by regular shortages in getting their prescriptions filled. Various regulatory and supply chain factors have contributed to the inability of producers to keep up with demand. But this raises the question: why is there so much demand in the first place? How did a significant chunk of the labor force -- from tech workers to Wall Streeters -- begin using the drug as an aid for their work and everyday lives? On this episode of the podcast, we speak with Danielle Carr, an assistant professor at the Institute for Society and Genetics at UCLA, who studies the history of politics of neuroscience and psychology. We discuss the history of this medicine and related medicines, what it does for the people who take it, and how market forces opened the drug up to almost anyone.
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