Over the weekend, President Trump announced that he was following through with his plan for aggressive tariffs. Imports from Canada and Mexico will now be hit with a 25% tariff, while China will get a 10% tariff. Although aggressive action was promised during the campaign, the news still rattled global financial markets, sending futures tumbling and the dollar spiking. Then, on Monday, Mexican President Claudia Sheinbaum announced that after a discussion with Trump, the tariffs aimed at her country would be delayed by a month. Meanwhile, more talks with Canada and China are expected. So what exactly are the economics of such tariffs? Are they inflationary? Who pays for them? And what are the implications of these ongoing threats? On this episode, we speak with Paul Donovan, chief economist at UBS Global Wealth Management, who answers all of our questions on the still developing news and how things might play out.

Read More: How Trump’s Tariffs Aim a Wrecking Ball at the Economy of the Americas

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Marko Kolanovic was one of the biggest names in markets, earning the nickname 'Gandalf' for some eerily prescient calls over the years. But last July he left his role as JPMorgan's chief global market strategist and co-head of global research, after missing out on a pretty epic rally. Since then, stocks have climbed higher with valuations increasingly stretched. So what does Marko think of the market now? In this episode we talk about his outlook the market, the impact of AI including the new DeepSeek model out of China, plus his own research and analysis techniques.

Read more: Kolanovic on the Canary in the Coal Mine for Higher Energy Prices

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Everyone knows by now that MicroStrategy looks a lot like a giant Bitcoin ETF. Its founder, Michael Saylor, is a huge supporter of the cryptocurrency and his company has been snapping up billions of dollars worth of the coins. The strategy has so far proved successful. In fact, MicroStrategy is trading at a market cap that's worth more than the value of its entire Bitcoin portfolio. How does this happen? And how long can it keep going? In this episode, we speak with Bloomberg Opinion's Matt Levine. We talk to him about how MicroStrategy has created a sort of "perpetual motion machine" of investment and how the strategy is starting to expand to other companies, too.

Money Stuff: Crypto Perpetual Motion Machines

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One of the primary drivers of elevated inflation — and the high cost of living in general — is the price of shelter. Whether you're buying or renting, housing is very expensive. Thankfully, over the last year, some of the increases we've seen in rent prices have slowed significantly, and we're not too far away from the pre-Covid pace. The bad news is that this might not last. A confluence of factors is coming together that may cause yet another shock to housing affordability. On this episode of the podcast, we speak with Lee Everett, the head of research and strategy at the multi-family operator Cortland. He talks about how the increase in interest rates caused new development of apartment buildings to plunge, meaning supply will be increasingly scarce again in 2026. Then add in deportations of construction labor, soaring insurance costs, plus industry consolidation, and you have the recipe for another big shock to housing affordability coming quickly down the pike.

Read More:
LA’s Backyard-Home Boom Offers Wildfire-Hit Residents New Option
US Housing Starts Top All Forecasts on Multifamily Construction

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On Monday, the stock market tanked, seemingly in reaction to the emergence of DeepSeek, an open source AI model developed in China. Nvidia, the semiconductor giant that has been the largest winner of the AI boom, erased $589 billion in market cap, for the biggest one-day wipeout in US stock-market history. Other chipmakers and big tech giants also swooned. So how did DeepSeek do it? Is it a big threat to the American AI giants like OpenAI and Anthropic? What does this say about export restrictions on US chips? On this special emergency session of the podcast, we spoke with Zvi Mowshowitz, an AI expert who authors the excellent Substack, Don’t Worry About the Vase. He answered all our questions and more to help understand what it means.

Read more:
AI-Fueled Stock Rally Dealt $1 Trillion Blow by Chinese Upstart
World’s Richest People Lose $108 Billion After DeepSeek Selloff

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The run-up in Big Tech stocks and all the hype over AI has put a bunch of investors on "bubble watch." One of those is Howard Marks, the co-founder and co-chair of Oaktree Capital Management. Howard is one of the most famous credit investors in the world, but he has experience in stock market bubbles too. Back in early 2000 — right before the Nasdaq peaked — he pointed out the frothiness in equities in a famous note titled "Bubble.com." So how does he actually spot a market bubble? How does a bubble differ from a bull run? And what is he seeing right now? We chat with Howard about all these things, including his experiences both in 2000 and during the 2008 subprime crisis.

Read More: Can Howard Marks Spot a Stock Bubble Twice?

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There's a lot of talk right now about concentration risk in US equities. For instance, the top 10 stocks in the S&P 500 currently account for 38% of the total index, compared to just 17.5% a decade ago. And all the big winners have been tech companies like Apple, Nvidia, Meta, etc., prompting questions about whether investors are getting overly-enthused about AI. For some, it's also bringing back memories of the dotcom bubble. So just how concentrated is the US stock market right now? What exactly is "concentration risk" anyway? What does this trend say about the power of benchmark index providers like S&P? And -- crucially -- are market participants doing anything about it? In this episode we speak with Kevin Muir, a.k.a. the Macro Tourist, about why he thinks the market is now at "peak concentration," and what could change to reduce Big Tech's dominance.

Read more: Index Providers Rule the World—For Now, at Least
Nvidia and Five Tech Giants Now Command 30% of the S&P 500 Index

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In theory, all of this AI spending has to deliver some kind of return. Companies (or other end users) will have to get tangible value from its outputs in order to justify the billions spent on research, chips, energy, and more. So what's actually happening at the corporate level? On this episode, we speak with Eric Glyman, who is the co-founder and CEO of Ramp, which helps corporations manage their expenses. As such, he has front row visibility in terms of what's actually being spent and who is actually getting the money. We talk about trends he's seeing in terms of spending going toward companies like OpenAI and Anthropic, as well as how AI tech is affecting the operations of his own business.

Read More:
SoftBank Shares Soar as Masayoshi Son’s AI Vision Coalesces
Trump Pushes to Make US an AI Superpower, With Fewer Guardrails

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