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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
  • Special Encore: What’s Driving U.S. Growth in 2026

    Special Encore: What’s Driving U.S. Growth in 2026
    Dec 31 2025
    Original Release Date: November 25, 2025Our Chief U.S. Economist Michael Gapen breaks down how growth, inflation and the AI revolution could play out in 2026.Read more insights from Morgan Stanley.----- Transcript -----Michael Gapen: Welcome to Thoughts on the Market. I’m Michael Gapen, Morgan Stanley’s Chief U.S. Economist.Today I'll review our 2026 U.S. Economic Outlook and what it means for growth, inflation, jobs and the Fed.It’s Tuesday, November 25th, at 10am in New York.If 2025 was the year of fast and furious policy changes, then 2026 is when the dust settles.Last year, we predicted slow growth and sticky inflation, mainly because of strict trade and immigration policies – and this proved accurate. But this year, the story is changing. We see the U.S. economy finally moving past the high-uncertainty phase. Looking ahead, we see a return to modest growth of 1.8 percent in 2026 and 2 percent in 2027. Inflation should cool but it likely won’t hit the Fed’s 2 percent target. By the end of 2026, we see headline PCE inflation at 2.5 percent, core inflation at 2.6 percent, and both stay above the 2 percent target through 2027. In other words, the inflation fight isn’t over, but the worst is behind us.So, if 2025 was slow growth and sticky inflation, then 2026 and [20]27 could be described as moderate growth and disinflation. The impact of trade and immigration policies should fade, and the economic climate should improve. Now, there are still some risks. Tariffs could push prices higher for consumers in the near term; or if firms cannot pass through tariffs, we worry about additional layoffs. But looking ahead to the second half of 2026 and beyond, we think those risks shift to the upside, with a better chance of positive surprises for growth.After all, AI-related business spending remains robust and upper income consumers are faring well. There is reason for optimism. That said, we think the most likely path for the economy is the return to modest growth. U.S. consumers start to rebound, but slowly. Tariffs will keep prices firm in the first half of 2026, squeezing purchasing power for low- and middle-income households. These households consume mainly through labor market income, and until inflation starts to retreat, purchasing power should be constrained.Real consumption should rise 1.6 percent in 2026 and 1.8 [percent] in 2027 – better, but not booming. The main culprit is a labor market that’s still in ‘low-hire, low-fire’ mode driven by immigration controls and tariff effects that keep hiring soft. We see unemployment peaking at 4.7 percent in the second quarter of 2026, then easing to 4.5 percent by year-end. Jobs are out there, but the labor market isn’t roaring. It'll be hard for hiring to pick up until after tariffs have been absorbed.And when jobs cool, the Fed steps in. The Fed is cutting rates – but at a cost. After two 25 basis point rate cuts in September and October, we expect 75 basis points more by mid 2026, bringing the target range to 3.0-3.25 percent. Why? To insure against labor market weakness. But that insurance comes with a price: inflation staying above target longer. Think of it as the Fed walking a tightrope—lean too far toward jobs, and inflation lingers; lean too far toward inflation, and growth stumbles. For now the Fed has chosen the former.And how does AI fit into the macro picture? It’s definitely a major growth driver. Spending on AI-related hardware, software, and data centers adds about 0.4 percent to growth in both 2026 and 2027. That’s roughly 20 percent of total growth. But here’s the twist: imports dilute the impact. After accounting for imported tech, AI’s net contribution falls sharply. Still, we expect AI to boost productivity by 25-35 basis points by 2027, over our forecast horizon, marking the start of a new innovation cycle. In short: AI is planting the seeds now for bigger gains later.Of course, there are risks to our outlook. And let me flag three important ones. First, demand upside – meaning fiscal stimulus and business optimism push growth higher; under this scenario inflation stays hot, and the Fed pauses cuts. If the economy really picks up, then the Fed may need to take back the risk management cuts it's putting in now. That would be a shock to markets. Second, there’s a productivity upside – in which case AI delivers bigger productivity gains, disinflation resumes, and rates drift lower. And lastly, a potential mild recession where tariffs and tight policy bite harder, GDP turns negative in early 2026, and the Fed slashes rates to near 1 percent. So in summary: 2026 looks to be a transition year with less drama but more nuance, as growth returns and inflation cools, while AI keeps rewriting the playbook.Thanks for listening. If you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.
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    7 m
  • Special Encore: Investors’ Top Questions for 2026

    Special Encore: Investors’ Top Questions for 2026
    Dec 30 2025
    Original Release Date: December 3, 2025Our Global Head of Fixed Income Research and Public Policy Strategy Michael Zezas and Chief Global Cross-Asset Strategist Serena Tang address themes that are key for markets next year.Read more insights from Morgan Stanley.----- Transcript -----Michael Zezas: Welcome to Thoughts on the Market. I'm Michael Zezas, Global Head of Fixed Income Research and Public Policy Strategy.Serena Tang: And I'm Serena Tang, Morgan Stanley's Chief Global Cross-Asset Strategist.Michael Zezas: Today we'll be talking about key investor debates coming out of our year ahead outlook.It's Wednesday, December 3rd at 10:30am in New York.So, Serena, it was a couple weeks ago that you led the publication of our cross-asset outlook for 2026. And so, you've been engaging with clients over the past few weeks about our views – where they differ. And it seems there's some common themes, really common questions that come up that represent some important debates within the market.Is that fair?Serena Tang: Yeah, that's very fair. And, by the way, I think those important debates, are from investors globally. So, you have investors in Europe, Asia, Australia, North America, all kind of wanting to understand our views on AI, on equity valuations, on the dollar.Michael Zezas: So, let's start with talking about equity markets a bit. And one of the common questions – and I get it too, even though I don't cover equity markets – is really about how AI is affecting valuations. One of the concerns is that the stock market might be too high, might be overvalued because people have overinvested in anything related to AI. What does the evidence say? How are you addressing that question?Serena Tang: It is interesting you say that because I think when investors talk about equities being too high, of valuations – AI related valuations being very stretched, it's very much about parallels to that 1990s valuation bubble.But the way I approach it is like there are some very important differences from that time period, from valuations back then. First of all, I think companies in major equity indices are higher quality than the past. They operate more efficiently. They deliver strong profitability, and in general pretty solid free cash flow.I think we also need to consider how technology now represents a larger share of the index, which has helped push overall net margins to about 14 percent compared to 8 percent during that 1990s valuation bubble. And you know, when margins are higher, I think paying premium for stocks is more justified.In other words, I think multiples in the U.S. right now look more reasonable after adjusting for profit margins and changes in index composition. But we also have to consider, and this is something that we stress in our outlook, the policy backdrop is unusually favorable, right? Like you have economists expecting the Fed to continue easing rates into next year. We have the One Big Beautiful Bill Act that could lower corporate taxes, and deregulation is continuing to be a priority in the U.S.And I think this combination, you know, monetary easing, fiscal stimulus, deregulation. That combination rarely occurs outside of a recession. And I think this creates an environment that supports valuation, which is by the way why we recommend an overweight position in U.S. equities, even if absolute and relative valuation look elevated.Michael Zezas: Got it. So, if I'm hearing you right, what I think you're saying is that comparisons to some bubbles of the past don't necessarily stack up because profitability is better. There aren't excesses in the system. Monetary policy might be on the path that's more accommodative. And so, when compared against all of that, the valuations actually don't look that bad.Serena Tang: Exactly.Michael Zezas: Got it. And sticking with the equity markets, then another common question is – it's related to AI, but it's sort of around this idea that a small set of companies have really been driving most of the growth in the market recently. And it would be better or healthier if the equity market were to perform across a wider set of companies and names, particularly in mid- and small cap companies. Is that something that we see on the horizon?Serena Tang: Yes. We are expecting U.S. stock earnings to sort of broaden out here and it's one of the reasons why our U.S. equity strategy team has upgraded small caps and now prefer it over large caps. And I think like all of this – it comes from the fact that we are in a new bull market. I think we have a very early cycle earnings recovery here. I mean, as discussed before, the macro environment is supportive. And Fed rate cuts over the next 12 months, growth positive tax and regulatory policies, they don't just support valuations. They also act as a tailwind to earnings.And I think like on top of that, leaner cost structures, improving earnings revisions, AI driven efficiency gains. They all support a ...
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    11 m
  • Special Encore: Who’s Disrupting — and Funding — the AI Boom

    Special Encore: Who’s Disrupting — and Funding — the AI Boom
    Dec 29 2025
    Original Release Date: November 13, 2025Live from Morgan Stanley’s European Tech, Media and Telecom Conference in Barcelona, our roundtable of analysts discusses tech disruptions and datacenter growth, and how Europe factors in.Read more insights from Morgan Stanley.----- Transcript -----Paul Walsh: Welcome to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's European Head of Research Product. Today we return to my conversation with Adam Wood. Head of European Technology and Payments, Emmet Kelly, Head of European Telco and Data Centers, and Lee Simpson, Head of European Technology. We were live on stage at Morgan Stanley's 25th TMT Europe conference. We had so much to discuss around the themes of AI enablers, semiconductors, and telcos. So, we are back with a concluding episode on tech disruption and data center investments. It's Thursday the 13th of November at 8am in Barcelona. After speaking with the panel about the U.S. being overweight AI enablers, and the pockets of opportunity in Europe, I wanted to ask them about AI disruption, which has been a key theme here in Europe. I started by asking Adam how he was thinking about this theme. Adam Wood: It’s fascinating to see this year how we've gone in most of those sectors to how positive can GenAI be for these companies? How well are they going to monetize the opportunities? How much are they going to take advantage internally to take their own margins up? To flipping in the second half of the year, mainly to, how disruptive are they going to be? And how on earth are they going to fend off these challenges? Paul Walsh: And I think that speaks to the extent to which, as a theme, this has really, you know, built momentum. Adam Wood: Absolutely. And I mean, look, I think the first point, you know, that you made is absolutely correct – that it's very difficult to disprove this. It's going to take time for that to happen. It's impossible to do in the short term. I think the other issue is that what we've seen is – if we look at the revenues of some of the companies, you know, and huge investments going in there. And investors can clearly see the benefit of GenAI. And so investors are right to ask the question, well, where's the revenue for these businesses? You know, where are we seeing it in info services or in IT services, or in enterprise software. And the reality is today, you know, we're not seeing it. And it's hard for analysts to point to evidence that – well, no, here's the revenue base, here's the benefit that's coming through. And so, investors naturally flip to, well, if there's no benefit, then surely, we should focus on the risk. So, I think we totally understand, you know, why people are focused on the negative side of things today. I think there are differences between the sub-sectors. I mean, I think if we look, you know, at IT services, first of all, from an investor point of view, I think that's been pretty well placed in the losers’ buckets and people are most concerned about that sub-sector… Paul Walsh: Something you and the global team have written a lot about. Adam Wood: Yeah, we've written about, you know, the risk of disruption in that space, the need for those companies to invest, and then the challenges they face. But I mean, if we just keep it very, very simplistic. If Gen AI is a technology that, you know, displaces labor to any extent – companies that have played labor arbitrage and provide labor for the last 20 - 25 years, you know, they're going to have to make changes to their business model. So, I think that's understandable. And they're going to have to demonstrate how they can change and invest and produce a business model that addresses those concerns. I'd probably put info services in the middle. But the challenge in that space is you have real identifiable companies that have emerged, that have a revenue base and that are challenging a subset of the products of those businesses. So again, it's perfectly understandable that investors would worry. In that context, it's not a potential threat on the horizon. It's a real threat that exists today against certainly their businesses. I think software is probably the most interesting. I'd put it in the kind of final bucket where I actually believe… Well, I think first of all, we certainly wouldn't take the view that there's no risk of disruption and things aren't going to change. Clearly that is going to be the case. I think what we'd want to do though is we'd want to continue to use frameworks that we've used historically to think about how software companies differentiate themselves, what the barriers to entry are. We don't think we need to throw all of those things away just because we have GenAI, this new set of capabilities. And I think investors will come back most easily to that space. Paul Walsh: Emmet, you talked a little bit there before about the fact that you haven't seen a huge amount of progress or ...
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    15 m
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