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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
  • AI Rewrites the Retail Playbook

    AI Rewrites the Retail Playbook
    Dec 5 2025
    Live from the Morgan Stanley Global Consumer & Retail Conference, our analysts discuss how AI is reshaping the future of shopping in the U.S.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. We're coming to you live from Morgan Stanley's Global Consumer and Retail Conference in New York City, where we have more than 120 leading companies in attendance. Today's episode is the second part of our live discussion of the U.S. consumer and how AI is changing consumer companies. With me on stage, we have Arunima Sinha from the Global and U.S. Economics team, Simeon Guttman, our U.S. Hardlines, Broad Lines, and Food Retail Analyst, and Megan Clap, U.S. Food Producers and Leisure Analyst. It's Friday, December 5th at 10am in New York. So, Simeon, I want to start with you. You recently put out a piece assessing the AI race. Can you take us through how you're assessing current AI implementation? And can you give us some real-world examples of what it looks like when a company significantly integrates AI into their business? Simeon Gutman: Sure. So, the Consumer Discretionary and Staples teams went to each of their covered companies, and we started searching for what those companies have disclosed and communicated regarding their AI. In some cases, we used AI to do this search. But we created a search and created this universe of factors and different ways AI is being implemented. We didn't have a framework until we had the entire universe of all of these AI use cases. Once we did, then we were able to compartmentalize them. And the different groups; we came up with six groups that we were able to cluster. First, personalization and refined search; second, customer acquisition; third product innovation; fourth, labor productivity; fifth, supply chain and logistics. And lastly, inventory management. And using that framework, we were able to rank companies on a 1 to 10 scale. Across – that was the implementation part – across three different dimensions: breadth, how widely the AI is deployed across those categories; the depth, the quality, which we did our best to be able to interpret. And then the last one was proprietary initiatives. So, that's partnerships, could be with leading AI firms. So that helped us differentiate the leaders with others, not necessarily laggards, but those who were ahead of in the race. In some cases, companies that have communicated more would naturally scream more, so there is some potential bias in that. But otherwise, the fact pattern was objective. Walmart has full scale AI deployment. They're integrated across their business. They've introduced GenAI tools. That's like their Sparky shopping assistant. As well as integrated to in-store features. They talked about it. It's been driving a 25 percent increase in average shopper spend. They've recently partnered with OpenAI to enable ChatGPT powered Search and Checkout, positioning where the company, where the customer is shopping. They're also layering on augmented reality for holiday shopping, computer vision for shelf monitoring. LLMs for inventory replenishment. Autonomous lifts, the list goes on and on. But it covers all the functional categories in our framework. Michelle Weaver: And how about a couple examples of the ways companies are using these? Any interesting real world use cases you've seen so far? Simeon Gutman: So, one of them was in marketing personalization, as well as in product cataloging. That was one of the more sided themes at this conference. So, it was good timing. So, the idea is when product is staged on a company's website; I don't think we all appreciate how much time and many hours and people and resources it takes to get the correct information, to get the right pictures and to show all the assortment – those type of functions AI is helping enable. And it sounds like we're on the cusp of a step change in personalization. It sounds like AI, machine learning or algorithm driven suggestions to consumers. We didn't get practical use cases, but a lot of companies talked about the deployment of this into 2026, which sounds like it's something to look forward to. Michelle Weaver: And Megan, how would you describe AI adoption in your space in terms of innings and what kind of criteria are you using to assess the future for AI opportunity and potential? Megan Clapp: Yeah, I would say; I'd characterize adoption in the Food and broader Staples space today is still relatively early innings. I think most companies are still standing up the data infrastructure, experimenting with various tools. We're seeing companies pilot early use cases and start to talk about them, and that was evident in the work we did with the note that Simeon just talked about. And so, the opportunity, I think, going ahead, lies in kind of what we see in terms of scaling those pilots to become more impactful. And for Staples broadly, and Food, you know, ties ...
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    14 m
  • Trends and Challenges for Consumers in 2026

    Trends and Challenges for Consumers in 2026
    Dec 4 2025
    Live from the Morgan Stanley Global Consumer & Retail Conference in New York, our analysts discuss the latest macro trends and pressures impacting the U.S. consumer.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. We're coming to you live from Morgan Stanley's Global Consumer and Retail Conference in New York City, where we have more than 120 leading companies in attendance. Today's episode is the first in a two-part special focused on the consumer where we'll focus on the K economy and the health of the U.S. Consumer. Tomorrow for the next episode, we'll turn our attention to AI. My colleagues and I are eager to dig into this discussion. With me on stage, we have Arunima Sinha from the Global and U.S. Economics team, Simeon Guttman, our U.S. Hardlines, Broad Lines, and Food Retail Analyst, and Megan Clap, U.S. Food Producers and Leisure Analyst.It's Thursday, December 4th at 10:00 AM in New York. So, to start, I want to go through the health of the consumer. That's of course been a theme that's been on display at the conference today. And 2025 has really been a year of mixed signals. But overall spending has held up while inflation has weighed on confidence, especially among lower- and middle-income households. Arunima, I want to start with you on the macro front as we head into year end. How would you describe the overall state of the consumer? What are you expecting in terms of real wage growth and spending? Arunima Sinha: If we'll just look at the rearview mirror in terms of Q1 through Q3, this year spending growth on a real basis has been holding up. So, in the first half of this year, about 1.5 percent on average. For the third quarter, given the data that we do now have in hand, we're tracking about 3 percent, quarter-on-quarter, on a real basis. But I think it is important to emphasize that this is already a step down than the numbers that we were seeing last year. So, in 2024 on these Q-on-Q numbers, we were running somewhere between 3.9-4 percent. So there already has been some slowdown. The recurring theme that we've had this year is how are the drivers of consumption going to weigh on different cohorts? And so, how is the labor market going away and how are wealth effects going to play out? And that, sort of, tied in squarely with the narrative that we've been emphasizing this whole year, which is that for the upper income cohorts, those net wealth effects have been very, very supportive. $50 trillion in net wealth that's been created just over the last three years. And that has continued for this year as well. And so, meanwhile the labor market has downshifted and that's had a read through into both just nominal wage growth as well as real wage growth. So, for example, on a three-month, three-month basis, that real wage growth, after we've adjusted for the nominal for inflation, has slowed down essentially to stall speed. It used to run, somewhere between 2-2.5 percent, in the first part of this year. And that we think is going to have a read through as we go into this upcoming quarter of Q4, as well as in the first quarter of next year. So just this lagged effect from the slowdown on labor market income is going to weigh; continue to weigh on the middle-income and sort of the upper-, lower- part of the income cohort. So, in terms of our growth forecasts for spending, over this quarter in Q4 and over next quarter in Q1, we are expecting about 1 percent real growth for consumption. That is a two-percentage point step down from where we were in Q3. And then just in terms of disposable income, we're also thinking this particular quarter in Q4 is going to be fairly weak. Michelle Weaver: You spoke a little bit about the different income cohorts there, but I want to double click on that. The K economy has been a really persistent theme as higher income households have benefited from strong market returns. But higher price levels have weighed on lower-income households. What are your expectations for the high versus low-income consumer next year? Arunima Sinha: So next year, we do think that there could be some broadening out in consumption growth. Just overall we have a sequential step up in growth that begins to take place, starting in the second quarter of [20]26. So, we have consumption growth that starts to slowly inch up from about just under 1 percent in the first quarter of [20]26 – all the way up to about 2 percent by the end of the year. What that's going to be driven by, we think that there are going to be some lessening of pressures on the middle-income cohorts. And where is that going to come from? It's going to come from perhaps a still moderate labor market. So, we're not – we don't think we're going to be seeing these big 100,000-150,000 plus jobs being added every month. We're thinking maybe about 60,000 on average per month, for most of next year. But just less policy uncertainty, some boost ...
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    11 m
  • Investors’ Top Questions for 2026

    Investors’ Top Questions for 2026
    Dec 3 2025
    Our 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 broad-based earnings upturn. and our U.S. equity...
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    10 m
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