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Thoughts on the Market

Thoughts on the Market

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Short, thoughtful and regular takes on recent events in the markets from a variety of perspectives and voices within Morgan Stanley.

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Episodios
  • Supreme Court Tests Trump Tariffs
    Nov 6 2025

    Earlier this week, the U.S. Supreme Court heard a case challenging the current administration’s tariff policy. Our Head of Fixed Income Research and Public Policy Research explains the potential magnitude of the case’s outcome for markets.

    Read more insights from Morgan Stanley.


    ----- Transcript -----


    Welcome to Thoughts on the Market. I'm Michael Zezas, Global Head of Fixed Income Research and Public Policy Strategy.

    Today, we discuss the challenge against tariffs at the Supreme Court and how it might affect markets.

    It’s Thursday, Nov 6th at 11am in New York.

    This week, the U.S. Supreme Court heard arguments about the legality of most of the tariffs implemented by the Trump administration. Investors are paying close attention because if the Supreme rules against the administration, it could undo much of the four-five times tariff increase that’s taken place in the U.S. this year. That would seem to set up this hearing, and a subsequent ruling which could come as early as this month, as a clear market catalyst. But, like many policy issues affecting the economic and markets outlook, the reality is more complicated.

    Here’s what you need to know.

    First, there’s ample debate among experts about how the court will rule. That may seem surprising given the court’s makeup. Three of the nine judges were appointed by President Trump, and six of the nine by Republican Presidents. But it's not clear they’ll agree that the President used his executive power in a way consistent with the law that granted the executive branch this particular power. That law is the International Emergency Economic Powers Act, or IEEPA. And, without getting into too much detail, the law appears to have been designed to deal with economic crises and foreign adversaries, which the court might argue is not evident when considering tariffs levied against traditional allies.

    But, the next important point is that a ruling against the Trump administration might not actually change much around U.S. tariff levels. How is that possible? It's because the administration has other executive tariff powers it can deploy if needed, and ones that are arguably more durable. For example, Section 301 gives a President wide latitude to designate a trading partner as undertaking unfair trade practices. So this authority could be swapped in for IEEPA. That could take time, as Section 301 requires a study to be submitted, but there are other temporary authorities that could bridge the gap. So the U.S. can likely ensure continuity of current tariff levels if it wants – keeping tariffs more of a constant than a variable in our outlook.

    Of course, we have to consider ways we could be wrong. For example, the administration could use a ruling against it to re-focus instead on product specific tariffs through Section 232. That likely would result in U.S. effective tariff rates drifting a bit lower, alleviating some of the pressure our economists see on the consumer and corporate importers, adding more support to risk assets. But that scenario might come with some volatility along the way if the administration feels the need to float larger product specific tariff levels before settling on more palatable levels – similar to what happened in April.

    So bottom line, there’s more tariff policy noise to navigate this year. It could bring some market volatility, and maybe even a bit of upside, but the most likely outcome is that we circle back to the approximate levels we are today. Setting up for 2026, that means other debates – like how companies respond to tariffs and capital spending incentives – are probably more important to the outlook than the level of tariffs themselves. We’re digging in on all that and will keep you in the loop.

    Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review and tell your friends about the podcast. We want everyone to listen.

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    4 m
  • Future of Work: AI’s Paradigm Shift for Labor
    Nov 5 2025
    Concluding a two-part roundtable discussion, our global heads of Research, Thematic Research and Firmwide AI focus on the human impacts of AI adoption in the workplace.Read more insights from Morgan Stanley.----- Transcript -----Kathryn Huberty: Welcome to Thoughts in The Market, and to part two of our conversation on AI adoption. I'm Katy Huberty, Morgan Stanley's Global Head of Research. Once again, I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI. Today, let's focus on the human level. What this paradigm shift means for individual workers. It's Wednesday, November 5th at 10am in New York. Kathryn Huberty: Stephen, there's a lot of simultaneous fear and excitement around widespread AI adoption. There's obviously concern that AI could lead to massive job losses. But you seem optimistic about this paradigm shift. Why is that? Stephen Byrd: Yeah, as I mentioned in part one, this is the most popular discussion topic with my children. And I would say younger folks are quite concerned about this. There's a lot of angst among young folks thinking about what is that job market really going to look like for them. And admittedly, AI could be quite disruptive. So, we don't want to sugarcoat that. There's clearly going to be impacts across many jobs. Our work showed that around 90 percent of jobs will be impacted in some way. Oh, in the long term, I would guess nearly every job will be impacted in some way. The reason we are more optimistic is that what we see is a range of what we would think of as augmentation, where AI can essentially help you do something much better. It can help you expand your capabilities. And it will result in entirely new jobs. Now with any new technology, it's always hard to predict exactly what those new jobs are. But examples that I see in my world of energy would be smart grid analysis, predictive maintenance, managing systems in a much more efficient way. Systems that are so complicated that they're really beyond the capability of humans to manage very effectively. So, I'm quite excited there. I'm extremely excited in the life sciences where we could see entire new approaches to curing some of the worst diseases plaguing humankind. So, I am really very excited in terms of those new areas of job creation. In terms of job losses, one interesting analysis that a lot of investors are really focused on that we included in our Future of Work report was the ratio – within a job – of augmentation to automation. The lower the ratio, the higher the risk of job loss in the sense that that shows a sign that more of what AI is going to do, is going to replace that type of human work. Examples of that would be in professional services. As I mentioned, you know, one of my former professions, law would be an example of an area where you could see this. But essentially, tasks that don't require a lot of proprietary data, require less creativity. Those are the types of tasks that are more likely to be automated. Kathryn Huberty: One theme I hear both in Silicon Valley and in our industry is the value of domain expertise goes up. So, the lawyer that's very good in the courtroom or handling a really complicated situation because they have decades of experience, the value of that labor and talent goes up. And so, when my friends ask me what their kids should pursue in school and as a career, I tell them it's less about what job they pursue. Pick a passion and become a domain expert really quickly. Stephen Byrd: I think that's excellent advice. Kathryn Huberty: Jeff, how do you see AI changing the skills we'll need at Morgan Stanley and the way that people should think about their careers? Jeff McMillan: I think you have to break this down into three pieces – and Stephen sort of alluded to it. One, you have to look at the jobs that are likely to disappear. Two, you have to look at the jobs that are going to change. And then finally, you have to look at the new jobs that are going to actually emerge from this phenomena. You should be thinking right now about how you are going to prepare yourself with the right skills around learning how to prompt and learning how to move into those functions that are not going to be eliminated. In terms of jobs that are changing, they're going to require a far, far greater sense of collaboration, creativity. And again, prompting; prompt engineering is sort of the center of that. And I would highly encourage every single person who's listening to this to become the single best prompt engineer in their group, in their friend[s group], in their organization. And then in terms of the jobs that are being created, I'm actually pretty optimistic here. As we build agents, there's actually a bull case that we're going to create so much complexity in our environment that we're going to need more people to help manage that. But the skills are not going to be repetitive linear skills. ...
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    13 m
  • Future of Work: AI’s Impact on Industries
    Nov 4 2025
    In the first of a two-part roundtable discussion, our Global Head of Research joins our Global Head of Thematic Research and Head of Firmwide AI to discuss how the economic and labor impacts of AI adoption.Read more insights from Morgan Stanley.----- Transcript ----- Kathryn Huberty: Welcome to Thoughts on the Market. I'm Katy Huberty, Morgan Stanley's Global Head of Research, and I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI.Today and tomorrow, we have a special two-part episode on the number one question everyone is asking us: What does the future of work look like as we scale AI?It's Tuesday, November 4th at 10am in New York.I wanted to talk to you both because Stephen, your groundbreaking work provides a foundation for thinking through labor and economic impacts of implementing AI across industries. And Jeff, you're leading Morgan Stanley's efforts to implement AI across our more than 80,000 employee firm, requiring critical change management to unlock the full value of this technology.Let's start big picture and look at this from the industry level. And then tomorrow we'll dig into how AI is changing the nature of work for individuals.Stephen, one of the big questions in the news – and from investors – is the size of AI adoption opportunity in terms of earnings potential for S&P 500 companies and the economy as a whole. What's the headline takeaway from your analysis?Stephen Byrd: Yeah, this is the most popular topic with my children when we talk about the work that I do. And the impacts are so broad. So, let's start with the headline numbers. We did a deep dive into the S&P 500 in terms of AI adoption benefits. The net benefits based on where the technology is now, would be about little over $900 billion. And that can translate to well over 20 percent increased earnings power that could generate over $13 trillion of market cap upon adoption. And importantly, that's where the technology is now.So, what's so interesting to me is the technology is evolving very, very quickly. We've been writing a lot about the nonlinear rate of improvement of AI. And what's especially exciting right now is a number of the big American labs, the well-known companies developing these LLMs, are now gathering about 10 times the computational power to train their next model. If scaling laws hold that would result in models that are about twice as capable as they are today. So, I think 2026 is going to be a big year in terms of thinking about where we're headed in terms of adoption. So, it's frankly challenging to basically take a snapshot because the picture is moving so quickly.Kathryn Huberty: Stephen, you referenced just the fast pace of change and the daily news flow. What's the view of the timeline here? Are we measuring progress at the industry level in months, in years?Stephen Byrd: It's definitely in years. It's fast and slow. Slow in the sense that, you know, it's taken some companies a little while now and some over a year to really prepare. But now what we're seeing in our CIO survey is many companies are now moving into the first, I'd say, full fledged adoption of AI, when you can start to really see this in numbers.So, it sort of starts with a trickle, but then in 2026, it really turns into something much, much bigger. And then I go back to this point about non-linear improvement. So, what looks like, areas where AI cannot perform a task six months from now will look very different. And I think – I'm a former lawyer myself. In the field of law, for example, this has changed so quickly as to what AI can actually do. So, what I expect is it starts slow and then suddenly we look at a wide variety of tasks and AI is fairly suddenly able to do a lot more than we expect.Kathryn Huberty: Which industries are likely to be most impacted by the shift? And when you broke down the analysis to the industry and job level, what were some of the surprises?Stephen Byrd: I thought what we would see would be fairly high-tech oriented sectors – and including our own – would be top of the list. What I found was very different. So, think instead of sectors where there's fairly low profit per employee, often low margin businesses, very labor-intensive businesses. A number of areas in healthcare staples came to the top. A few real estate management businesses. So, very different than I expected.The very high-tech sectors actually had some of the lowest numbers, simply because those companies in high-tech tend to have extremely high profit per employee. So, the impact is a lot less. So that was surprising learning. A lot of clients have been digging into that.Kathryn Huberty: I could see why that would've surprised you. But let's focus on banking for a moment since we have the expert here. Jeff, what are some of the most exciting AI use cases in banking right now?Jeff McMillan: You know, I would start with software development, which was probably ...
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    13 m
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