Mike Wilson: Beware a False Market Breakout

Our Semiconductors and Software analysts Joe Moore and Keith Weiss dive into the biggest market debate around AI and why it’s likely to shape conversations at Morgan Stanley’s Technology, Media and Telecom (TMT) Conference in San Francisco. ----- Transcript -----Joe Moore: Welcome to Thoughts on the Market. I'm Joe Moore, Morgan Stanley's Head of U.S. Semiconductors.Keith Weiss: And I'm Keith Weiss, Head of U.S. Software.Joe Moore: Today on the show, one of the biggest market debates in the tech sector has been around AI and the Return On Investment, or ROI. In fact, we think this will be the number one topic of conversation at Morgan Stanley's annual Technology, Media and Telecom (TMT) conference in San Francisco.And that's precisely where we're bringing you this episode from.It's Monday, March 3rd, 7am in San Francisco.So, let's get right into it. ChatGPT was released November 2022. Since then, the biggest tech players have gained more than $9 trillion in combined market capitalization. They're up more than double the amount of the S&P 500 index. And there's a lot of investor expectation for a new technology cycle centered around AI. And that's what's driving a lot of this momentum.You know, that said, there's also a significant investor concern around this topic of ROI, especially given the unprecedented level of investment that we've seen and sparse data points still on the returns.So where are we now? Is 2025 going to be a year when the ROI and GenAI finally turns positive?Keith Weiss: If we take a step back and think about the staging of how innovation cycles tend to play out, I think it's a helpful context.And it starts with research. I would say the period up until When ChatGPT was released – up until that November 2022 – was a period of where the fundamental research was being done on the transformer models; utilizing, machine learning. And what fundamental research is, is trying to figure out if these fundamental capabilities are realistic. If we can do this in software, if you will.And with the release of ChatGPT, it was a very strong, uh, stamp of approval of ‘Yes, like these transformer models can work.’Then you start stage two. And I think that's basically November 22 through where are today of, where you have two tracks going on. One is development. So these large language models, they can do natural language processing well.They can contextually understand unstructured and semi structured data. They can generate content. They could create text; they could create images and videos.So, there's these fundamental capabilities. But you have to develop a product to get work done. How are we going to utilize those capabilities? So, we've been working on development of product over the past two years. And at the same time, we've been scaling out the infrastructure for that product development.And now, heading into 2025, I think we're ready to go into the next stage of the innovation cycle, which will be market uptake.And that's when revenue starts to flow to the software companies that are trying to automate business processes. We definitely think that monetization starts to ramp in 2025, which should prove out a better ROI or start to prove out the ROI of all this investment that we've been making.Joe Moore: Morgan Stanley Research projects that GenAI can potentially drive a $1.1 trillion dollar revenue opportunity in 2028, up from $45 billion in 2024. Can you break this down for our listeners?Keith Weiss: We recently put out a report where we tried to size kind of what the revenue generation capability is from GenerativeAI, because that's an important part of this ROI equation. You have the return on the top of where you could actually monetize this. On the bottom, obviously, investment. And we took a look at all the investment needed to serve this type of functionality.The [$]1.1 trillion, if you will, it breaks down into two big components. Um, One side of the equation is in my backyard, and that's the enterprise software side of the equation. It's about a third of that number. And what we see occurring is the automation of more and more of the work being done by information workers; for people in overall.And what we see is about 25 percent, of overall labor being impacted today. And we see that growing to over 45 percent over the next three years.So, what that's going to look like from a software perspective is a[n] opportunity ramping up to about, just about $400 billion of software opportunity by 2028. At that point, GenerativeAI will represent about 22 percent of overall software spending. At that point, the overall software market we expect to be about a $1.8 trillion market.The other side of the equation, the bigger side of the equation, is actually the consumer platforms. And that kind of makes sense if you think about the broader economy, it's basically one-third B2B, two-thirds B2C. The automation is relatively equivalent on both sides of the equation.Joe Moore: So, let's drill further into your outlook for software. What are the biggest catalysts you expect to see this year, and then over the coming three years?Keith Weiss: The key catalyst for this year is proving out the efficacy of these solutions, right?Proving out that they're going to drive productivity gains and yield real hard dollar ROI for the end customer. And I think where we'll see that is from labor savings.Once that occurs, and I think it's going to be over the next 12 to 18 months, then we go into the period of mainstream adoption. You need to start utilizing these technologies to drive the efficiencies within your businesses to be able to keep up with your competitors. So, that's the main thing that we're looking for in the near term.Over the next three years, what you're looking for is the breakthrough technologies. Where can we find opportunities not just to create efficiencies within existing processes, but to completely rewrite the business process.That's where you see new big companies emerge within the software opportunity – is the people that really fundamentally change the equation around some of these processes.So, Joe, turning it over to you, hardware remains a bottleneck for AI innovation. Why is that the case? And what are the biggest hurdles in the semiconductor space right now?Joe Moore: Well, this has proven to be an extremely computationally intensive application, and I think it started with training – where you started seeing tens of thousands of GPUs or XPUS clustered together to train these big models, these Large Language Models. And you started hearing comments two years ago around the development of ChatGPT that, you know, the scaling laws are tricky.You might need five times as much hardware to make a model that's 10 percent smarter. But the challenge of making a model that's 10 percent smarter, the table stakes of that are very significant. And so, you see, you know, those investments continuing to scale up. And that's been a big debate for the market.But we've heard from most of the big spenders in the market that we are continuing to scale up training. And then after that happened, we started seeing inference suddenly as a big user of advanced processors, GPUs, in a way that they hadn't before. And that was sort of simple conversational types of AI.Now as you start migrating into more of a reasoning AI, a multi pass approach, you're looking at a really dramatic scaling in the amount of hardware, that's required from both GPUs and XPUs.And at the same time the hardware companies are focused a lot on how do we deliver that – so that it doesn't become prohibitively expensive; which it is very expensive. But there's a lot of improvement. And that's where you're sort of seeing this tug of war in the stocks; that when you see something that's deflationary, uh, it becomes a big negative. But the reality is the hardware is designed to be deflationary because the workloads themselves are inflationary.And so I think there's a lot of growth still ahead of us. A lot of investment, and a lot of rich debate in the market about this.Keith Weiss: Let's pull on that thread a little bit. You talked initially about the scaling of the GPU clusters to support training. Over the past year, we've gotten a little bit more pushback on the ideas or the efficacy of those scaling laws.They've come more under question. And at the same time, we've seen the availability of some lower cost, but still very high-performance models. Is this going to reshape the investments from the large semiconductor players in terms of how they're looking to address the market?Joe Moore: I think we have to assess that over time. Right now, there are very clear comments from everybody who's in charge of scaling large models that they intend to continue to scale.I think there is a benefit to doing so from the standpoint of creating a richer model, but is the ROI there? You know, and that's where I think, you know, your numbers do a very good job of justifying our model for our core companies – where we can say, okay, this is not a bubble. This is investment that's driven by these areas of economic benefit that our software and internet teams are seeing.And I think there is a bit of an arms race at the high end of the market where people just want to have the biggest cluster. And that's, we think that's about 30 percent of the revenue right now in hardware – is supporting those really big models. But we're also seeing, to your point, a very rich hardware configuration on the inference side post training model customization. Nvidia said on their on their earnings call recently that they see several orders of magnitude more compute required for those applications than for that pre-training. So, I think over time that's where the growth is going to come from.But you know, right now we're seeing growth really from all aspects of the market.Keith Weiss: Got it. So, a lot of really big opportunities out there utilizing these GPUs and ASICs, but also a lot of unknowns and potential risks. So, what are the key catalysts that you're looking for in the semiconductor space over the course of this year and maybe over the next three years?Joe Moore: Well, 2025 is, is a year that is really mostly about supply.You know, we're ramping up, new hardware But also, several companies doing custom silicon. We have to ramp all that hardware up and it's very complicated.It uses every kind of trick and technique that semiconductors use to do advanced packaging and things like that. And so, it's a very challenging supply chain and it has been for two years. And fortunately, it's happened in a time when there's plenty of semiconductor capacity out there.But I think, you know, we're ramping very quickly. And I think what you're seeing is the things that matter this year are gonna be more about how quickly we can get that supply, what are the gross margins on hardware, things like that.I think beyond that, we have to really get a sense of, you know, these ROI questions are really important beyond 2025. Because again, this is not a bubble. But hardware is cyclical and there; it doesn't slow gracefully. So, there will be periods where investment may fall off and it'll be a difficult time to own the stocks. And that's, you know, we do think that over time, the value sort of transitions from hardware to software.But we model for 2026 to be a year where it starts to slow down a little bit. We start to see some consolidation in these investments.Now, 12 months ago, I thought that about 2025. So, the timeframe keeps getting pushed out. It remains very robust. But I think at some point it will plateau a little bit and we'll start to see some fragmentation; and we'll start to see markets like, you know, reasoning models, inference models becoming more and more critical. But that's where when I hear you and Brian Nowak talking about sort of the early stage that we are of actually implementing this stuff, that inference has a long way to go in terms of growth.So, we're optimistic around the whole AI space for semiconductors. Obviously, the market is as well. So, there's expectations, challenges there. But there's still a lot of growth ahead of us.So Keith, looking towards the future, as AI expands the functionality of software, how will that transform the business models of your companies?Keith Weiss: We're also fundamentally optimistic about software and what GenerativeAI means for the overall software industry.If we look at software companies today, particularly application companies, a lot of what you're trying to do is make information workers more productive. So, it made a lot of sense to price based upon the number of people who are using your software. Or you've got a lot of seat-based models.Now we're talking about completely automating some of those processes, taking people out of the loop altogether. You have to price differently. You have to price based upon the number of transactions you're running, or some type of consumptive element of the amount of work that you're getting done. I think the other thing that we're going to see is the market opportunity expanding well beyond information workers.So, the way that we count the value, the way that we accrue the value might change a little bit. But the underlying value proposition remains the same. It's about automating, creating productivity in those business processes, and then the software companies pricing for their fair share of that productivity.Joe Moore: Great. Well, let me just say this has been a really useful process for me. The collaboration between our teams is really helpful because as a semiconductor analyst, you can see the data points, you can see the hardware being built. And I know the enthusiasm that people have on a tactical level. But understanding where the returns are going to come from and what milestones we need to watch to see any potential course correction is very valuable.So on that note, it's time for us to get to the exciting panels at the Morgan Stanley TMT conference. Uh, And we'll have more from the conference on the show later this week. Keith, thanks for taking the time to talk.Keith Weiss: Great speaking with you, Joe.Joe Moore: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

3 Mars 12min

Our Global Head of Fixed Income Research and Public Policy Strategy explains why conflicting news on tariffs and government spending may point to a case for bonds.----- Transcript -----Welcome to Thoughts on the Market. I’m Michael Zezas, Morgan Stanley’s Global Head of Fixed Income Research and Public Policy Strategy. Today we’ll be discussing recent U.S. public policy headline noise and the signal within that for investors.It’s Friday, February 28th, at 12:30 pm in New York.For investors paying attention to events in Washington, D.C., the past few weeks have been disorienting. Tariff announcements have continued, but with shifting details on timing and magnitude. And Congress passed a bill to enable substantial spending cuts, but subsequent media reports made clear the votes to actually enact these cuts later this year may not be there. Our recent client conversations have revealed that investors’ confusion has reached new heights, and there’s little consensus, or conviction, about whether U.S. policy choices are set to help or hurt the economy and markets. Net-net, it's a lot of policy noise, and very little signal. That said, here’s what we think investors can anchor to. For all the headlines on potential new tariffs for China, Mexico, Canada and on products like copper, actual tariff actions have followed a graduated pace, in line with our base case of ‘fast announcement, slow implementation’ – where tariffs on China start and continue to climb, but tariffs on the rest of world move slowly and are more subject to negotiation. Tariffs on Mexico and Canada appear, in our view, likely to be pushed out once again given progress in negotiation on harmonizing trade policy and progress in reduced border crossings. On the other hand, tariffs on China, already raised an incremental 10 percent a few weeks back, seem likely to step up again as there are much bigger disagreements that the two nations don’t appear close to resolving. But even if tariffs move according to the pace that we expect, that doesn’t mean they come without cost. The U.S.’s goal is to bring more investment onshore, with an aim toward increasing goods production, thereby reducing trade deficits, securing important supply chains, and growing industrial jobs. The theory is that higher tariff barriers might incentivize more direct investment into the U.S., as companies build supply chains in the U.S. to avoid the higher tariff costs. But even if that theory plays out, there’s a cost to that transition. In a recent blue paper, my colleague Rajeev Sibal led a team through an analysis demonstrating that the next phase of supply chain realignment would be considerably costlier to companies, given the complexity of production that must be shifted. So either way, companies take on new costs – tariffs, CapEx, or both. That challenges corporate margins, and economic growth, at least for a time. And there’s plenty of execution risk along the way. So what’s an investor to do? Our cross asset and interest rate strategy teams think it's time to lean more heavily into bonds. Equity markets may do just fine here, with investors looking through these near term costs, but the risk of something going wrong with, for example, tariffs escalation or broader geopolitical conflict, may keep a ceiling on investors’ risk appetite. Conversely, a growth slowdown presents a clearer case for owning bonds, particularly since it wasn’t that long ago that better economic data helped the Treasury market price out most of the expected monetary policy cuts for 2025. 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.

28 Feb 3min

Two recent surveys indicate that U.S. consumer confidence has shown a notable decline amid talks about inflation and potential tariff. Our Head of Corporate Credit Research Andrew Sheets discusses the market implications.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, head of Corporate Credit Research at Morgan Stanley. Today I’m going to talk about the consumer side of the confidence debate. It’s Thursday, February 27th at 2pm in London. Two weeks ago on this program I discussed signs that uncertainty in U.S. government policy might be hitting corporate confidence, as evidenced by an unusually slow start to the year for dealmaking. That development is a mixed bag. Less confidence and more conservatism in companies holds back investment and reduces the odds of the type of animal spirits that can drive large gains. But it can be a good thing for lenders, who generally prefer companies to be more cautious and more risk-averse. But this question of confidence is also relevant for consumers. And today, I want to discuss what some of the early surveys suggest and how it can impact our view.To start with something that may sound obvious but is nonetheless important, Confidence is an extremely powerful psychological force in the economy and financial markets. If you feel good enough about the future, you’ll buy a stock or a car with little regard to the price or how the economy might feel at the moment. And if you’re worried, you won’t buy those same things, even if your current conditions are still ok, or if the prices are even cheaper. Confidence, you could say, can trump almost everything else. And so this might help explain the market’s intense focus on two key surveys over the last week that suggested that US consumer confidence has been deteriorating sharply.First, a monthly survey by the University of Michigan showed a drop in consumer confidence and a rise in expected inflation. And then a few days later, on Tuesday, a similar survey from the Conference Board showed a similar pattern, with consumers significantly more worried about the future, even if they felt the current conditions hadn't much changed. While different factors could be at play, there is at least circumstantial evidence that the flurry of recent U.S. policy actions may be playing a role. This drop in confidence, for example, was new, and has only really showed up in the last month or two. And the University of Michigan survey actually asks its respondents how news of Government Economic policy is impacting their level of confidence. And that response, over the last month, showed a precipitous decline. These confidence surveys are often called ‘soft’ data, as opposed to the hard economic numbers like the actual sales of cars or heavy equipment. But the reason they matter, and the reason investors listened to them this week, is that they potentially do something that other data cannot. One of the biggest challenges that investors face when looking at economic data is that financial markets often anticipate, and move ahead of turns in the underlying hard economic numbers. And so if expectations are predictive of the future, they may provide that important, more leading signal. One weak set of consumer confidence isn’t enough to change the overall picture, but it certainly has our attention. Our U.S. economists generally agree with these respondents in expecting somewhat slower growth and stickier inflation over the next 18 months; and Morgan Stanley continues to forecast lower bond yields across the U.S. and Europe on the expectation that uncertainties around growth will persist. For credit investors, less confidence remains a double-edged sword, and credit markets have been somewhat more stable than other assets. But we would view further deterioration in confidence as a negative – given the implications for growth, even if it meant a somewhat easier policy path. Thanks for listening. If you enjoy the show, leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

27 Feb 4min

Our Chief U.S. Economist Michael Gapen discusses the possible economic implications of restrictive immigration policies in the U.S., highlighting their potential effect on growth, inflation and labor markets.----- Transcript -----Welcome to Thoughts on the Market. I’m Michael Gapen, Morgan Stanley’s Chief U.S. Economist. Today I’ll talk about the way restrictive immigration policies could potentially slow U.S. economic growth, push up inflation, and impact labor markets.It’s Wednesday, February 26th, at 2pm in New York.Lately, investors have been focused on the twists and turns of Trump’s tariffs. Several of my colleagues have discussed the issue of tariffs from various angles on this show. But we think the new administration’s immigration policy deserves more attention. Immigration is more than just the entry of foreign citizens into the U.S. for residency. It's a complex process with significant implications for our economy. According to the Bureau of Labor Statistics, as of June 2024, 19 per cent of the US workforce was made up of immigrants – which is over 32 million people. This is a significant increase from 1994, when only about 10 per cent of the workforce was foreign-born. Immigrants tend to be employed in sectors like agriculture, construction and manufacturing, but also in face-to-face services sectors like retail, restaurants, hotels and healthcare. Immigration surged to about 3 million per year after the pandemic. In fact, immigration rates in 2022 to 2024 were more than twice the historical run rate. This surge helped the US economy to "soft land" following a period of high inflation. It boosted both the supply side and the demand side of the U.S. economy. Labor force growth outpaced employment, which helped to moderate wage and price pressures. However, Trump’s policymakers are changing the rules rapidly and reversing the immigration narrative. Already by the second half of 2024, border flows were slowing significantly based on the lagged effects of steps previously taken by the Biden administration. Under the new administration, news reports suggest immigration has slowed to near zero in recent weeks.In our 2025 year-ahead outlook, we noted that restrictive immigration policies were a key factor in our prediction for slower growth and firmer inflation. We estimate that immigration will slow from 2.7 million last year to about 1 million this year and 500,000 next year. The recent data suggests immigration may slow every more forcefully than we expect.If immigration slows broadly in line as we predict, the result will be that population growth in 2025 will be about 4/10ths of 1 per cent. That’s less than half of what the U.S. economy saw in 2024. The impact of slower immigration on labor force measures should be visible over time. For the moment though, there is enough noise in monthly payrolls and the unemployment rate to mask some of the labor force effects. But over three or six months, the impact of slower immigration should become clearer.In terms of economic growth, if immigration falls back to 1 million this year and 500,000 next year, this could reduce the rate of GDP growth by about a-half a percentage point this year and maybe even more next year, and put upward pressure on inflation, particularly in services, and to some extent overall wages. Slower immigration could pull short-run potential GDP growth down from the 2.5-3.0 per cent that we saw in recent years to 2 per cent this year, and 1-1.5 per cent next year. On the other hand, the unemployment rate might fall modestly as immigration controls reduce the number of households with high participation rates and low spending capacity. This could lead to tighter labor markets, moderately faster wage growth, and upward pressure on inflation. So we think we are looking at a two-speed labor market. Slower employment growth will feel soft and sluggish. But a low unemployment rate suggests the labour market itself is still tight. Given all of this, we think more restrictive immigration policies could lead to tighter monetary policy and keep the Fed on its currently restrictive stance for longer. All of this supports our expectation of just one cut this year and further rate cuts only next year after growth slows.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.

26 Feb 4min

A shift to private destinations for cruise lines could affect both operators and guests by 2030. Our Europe Leisure & Travel analyst Jamie Rollo explains.----- Transcript -----Welcome to Thoughts on the Market. I’m Jamie Rollo, Morgan Stanley’s Europe Leisure & Travel Analyst. And today I’ll talk about an intriguing trend – the cruise lines’ accelerating expansion into private islands. It’s Tuesday, February the 25th, at 2 PM in London.Now the lure of a private island cruise is simple. You get almost exclusive access to a tropical retreat. You can lounge or snorkel on a pristine beach, you can enjoy a meal in a private cabana, you can even book a massage or a yoga class. The only other people around are fellow passengers on your vacation. So this isn't just the stuff of popular TV shows. It’s potentially the future of cruising. Cruise lines have actually been offering private islands for more than a decade. So it’s hardly a new phenomenon. In fact, in 2019, we estimate the majority of Caribbean cruise passengers visited a private island. As it happens, the Caribbean is the world's largest cruise destination. About saw 36 million cruise calls were there last year; that’s about 40 percent of global passenger capacity. And that’s surpassing the second largest region, the Mediterranean, at about 17 percent. Of course, the Caribbean’s proximity to North America and its year-round tropical climate make it a prime location for cruising. But despite these advantages, historically the Caribbean’s been seen as more of a lower-yielding market compared to regions like Europe or Alaska, which arguably have even more amazing scenery or historic sites. Interestingly, recent trends suggest that reputation might be changing. And new private islands over the last few years have reinvigorated the Caribbean cruise market. So what’s a private destinations or islands offer? For your guests, they get a seamless integration with the cruise experience. There’s no transfer required to a destination. There’s no external visitors coming into the resort. No-hassle, no-traffic, and very low crime. And for the cruise lines, well, they get greater control over the customer experience. They create superior customer satisfaction, which generates more repeat business. In addition, they can get that on-island spend that the guest would have spent with external vendors. And they can charge premium rates for exclusive areas. On top of that, many of these islands are quote close to the U.S. mainland, so you’re saving on fuel because the ship doesn’t have to steam so far; and on port fees. And then finally, proximity to the U.S. also can increase the short cruise duration market, which widens the addressable market for new-to-cruise passengers. And also can limit anti-tourism or anti-cruise sentiment because it moves guests out of congested areas and prevents unwanted visitors. All in all, the private island model offers a very high return on invested capital and may well be the future of the cruise line industry. In fact, if we add up the expansion plans of the biggest listed cruise lines, we think their private island guest count will double over the next few years. And that could add over 10 per cent to top line sales and 30 per cent earnings-per-share for the fastest growing cruise lines. So very considerable financials, but also it’s a private paradise within reach … and an idea we can all set sail to. 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.

25 Feb 4min

Our CIO and Chief U.S. Equity Strategist Mike Wilson explains the challenges to growth for U.S. stocks and why some investors are looking to China and Europe.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief U.S. Equity Strategist. Today on the podcast I’ll be discussing new headwinds for growth and what that means for equities. It's Monday, Feb 24th at 11:30am in New York. So let’s get after it. Until this past Friday’s sharp sell off in stocks, the correlation between bond yields and stocks had been in negative territory since December. This inverse correlation strengthened further into year-end as the 10-year U.S. Treasury yield definitively breached 4.5 per cent on the upside for the first time since April of 2024. In November, we had identified this as an important yield threshold for stock valuations. This view was based on prior rate sensitivity equities showed in April of 2024 and the fall of 2023 as the 10-year yield pushed above this same level. In our view, the equity market has been signaling that yields above this point have a higher likelihood of weighing on growth. Supporting our view, interest rate sensitive companies like homebuilders have underperformed materially. This is why we have consistently recommended the quality factor and industries that are less vulnerable to these headwinds.In our year ahead outlook, we suggested the first half of 2025 would be choppier for stocks than what we experienced last fall. We cited several reasons including the upside in yields and a stronger U.S. dollar. Since rates broke above 4.5 per cent in mid-December, the S&P 500 has made no progress. Specifically, the 6,100 resistance level that we identified in the fall has proven to be formidable for the time being. In addition to higher rates, softer growth prospects alongside a less dovish Fed are also holding back many stocks. As we have also discussed, falling rates won’t help if it’s accompanied by falling growth expectations as Friday’s sharp selloff in the face of lower rates illustrated. Beyond rates and a stronger US dollar, there are several other reasons why growth expectations are coming down. First, the immediate policy changes from the new administration, led by immigration enforcement and tariffs, are likely to weigh on growth while providing little relief on inflation in the short term. Second, the Dept of Govt Efficiency, or DOGE, is off to an aggressive start and this is another headwind to growth, initially.Third, there appears to have been a modest pull-forward of goods demand at the end of last year ahead of the tariffs, and that impulse may now be fading. Fourth, consumers are still feeling the affordability pinch of higher rates and elevated price levels which weighed on last month's retail sales data. Finally, difficult comparisons, broader awareness of Deep Seek, and the debate around AI [CapEx] deceleration are weighing on the earnings revisions of some of the largest companies in the major indices.All of these items are causing some investors to consider cheaper foreign stocks for the first time in quite a while – with China and Europe doing the best. In the case of China, it’s mostly related to the news around DeepSeek and perhaps stimulus for the consumer finally arriving this year. The European rally is predicated on hopes for peace in Ukraine and the German election results that may lead to the loosening of fiscal constraints. Of the two, China appears to have more legs to the story, in my opinion. Our Equity Strategy in the U.S. remains the same. We see limited upside at the index level in the first half of the year but plenty of opportunity at the stock, sector and factor levels. We continue to favor Financials, Software over Semiconductors, Media/Entertainment and Consumer Services over Goods. We also maintain an overriding penchant for quality across all size cohorts.Thanks for listening. If you enjoy the podcast, leave us a review wherever you listen, and share Thoughts on the Market with a friend or colleague today.

24 Feb 4min

Our Hong Kong/China Transportation & Infrastructure Analyst Qianlei Fan explores how a potential peace deal in Ukraine could reshape the global airline industry.----- Transcript -----Welcome to Thoughts on the Market. I’m Qianlei Fan, Morgan Stanley’s Hong Kong/China Transportation Analyst. Today’s topic is how a potential peace deal in Ukraine could affect global airlines. It’s Friday, February 21st, at 2pm in Hong Kong. The situation remains fluid, but we believe a potential peace deal in Ukraine could have broad implications for the global airline industry. From the reopening of Russian airspace to potential changes in fuel prices and flight routes, there are many variables at play. Russian airspace is currently off-limits due to the conflict, but a peace agreement could change that. The reopening of Russian airspace would be a significant catalyst for global airlines, reducing travel times and fuel consumption on routes between Europe, North America, and Asia. Fuel prices account for 20-40 per cent of airlines' costs, so any changes can have a significant impact on their bottom line. We believe a peace deal could lead to a moderate fall in fuel prices, benefiting all airlines, but particularly those with high-cost exposure and low margins. There could also be specific regional implications. The European air travel market could benefit significantly from an end to the Ukraine conflict. The reopening of Russian airspace would improve European airlines’ competitiveness on Asian routes, while a fall in fuel prices would reduce their operating costs. There would also be lower congestion in the intra-European market. Asian airlines, particularly Chinese ones, could experience a mixed impact. On the one hand, they could see an increase in wide-body utilization and passenger numbers if more direct flights to the U.S. are introduced. On the other hand, losing their advantage over European airlines of flying through Russian airspace would be negative. But, at the same time, Chinese airlines should remain competitive on pricing given meaningfully lower labor costs. U.S. airlines could also benefit in two significant ways. They could see a boost in revenues from adding back profitable routes such as U.S. to India or U.S. to South Korea that may have been suspended. Being able to fly directly over Russia would mean shorter, more direct flight paths resulting in less fuel burn and lower costs. U.S. airlines could also see a cost decrease from a moderate fall in jet fuel prices. Finally, Latin American carriers could also benefit from a peace deal. If global carriers reallocate capacity to China, it could tighten the market even further, creating an attractive capacity environment for the LatAm region. We’ll continue to bring you relevant updates on this evolving situation. 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.

21 Feb 3min

Our Global Chief Economist Seth Carpenter explains the potential domino effect that President Trump’s reciprocal tariffs could have on the U.S. and global economies.----- Transcript -----Seth Carpenter: Welcome to Thoughts on the Market. I'm Seth Carpenter, Morgan Stanley's Global Chief Economist, and today I'm going to talk about downside risks to the U.S. economy, especially from tariffs.It's Thursday, February 20th at 10am in New York.Once again, tariffs are dominating headlines. The prospect of reciprocal tariffs is yet one more risk to our baseline forecast for the year. We have consistently said that the inflationary risk of tariffs gets its due attention in markets but the adverse growth implications that's an underappreciated risk.But we, like many other forecasters, were surprised to the upside in 2023 and 2024. So maybe we should ask, are there some upside risks that we're missing?The obvious upside risk to growth is a gain in productivity, and frequent readers of Morgan Stanley Research will know that we are bullish on AI. Indeed, the level of productivity is higher now than it was pre-COVID, and there is some tentative estimate that could point to faster growth for productivity as well.Of course, a cyclically tight labor market probably contributes and there could be some measurement error. But gains from AI do appear to be happening faster than in prior tech cycles. So, we can't rule very much out. In our year ahead outlook, we penciled in about a-tenth percentage point of extra productivity growth this year from AI. And there is also a bit of a boost to GDP from AI CapEx spending.Other upside risks, though, they're less clear. We don't have any boost in our GDP forecast from deregulation. And that view, I will say, is contrary to a lot of views in the market. Deregulation will likely boost profits for some sectors but probably will do very little to boost overall growth. Put differently, it helps the bottom line far more than it helps the top line. A notable exception here is probably the energy sector, especially natural gas.Our baseline view on tariffs has been that tariffs on China will ramp up substantially over the year, while other tariffs will either not happen or be fleeting, being part of, say, broader negotiations. The news flow so far this year can't reject that baseline, but recently the discussion of broad reciprocal tariffs means that the risk is clearly rising.But even in our baseline, we think the growth effects are underestimated. Somewhere in the neighborhood of two-thirds of imports from China are capital goods or inputs into U.S. manufacturing. The tariffs imposed before on China led to a sharp deterioration in industrial production. That slump went through the second half of 2018 and into and all the way through 2019 as a drag on the broader economy. Just as important, there was not a subsequent resurgence in industrial output.Part of the undergraduate textbook argument for tariffs is to have more produced at home. That channel works in a two-economy model. But it doesn't work in the real world.Now, the prospect of reciprocal tariffs broadens this downside risk. Free trade has divided production functions around the world, but it's also driven large trade imbalances, and it is precisely these imbalances that are at the center of the new administration's focus on tariffs. China, Canada, Mexico – they do stand out because of their imbalances in terms of trade with the U.S., but the underlying driving force is quite varied. More importantly, those imbalances were built over decades, so undoing them quickly is going to be disruptive, at least in the short run.The prospect of reciprocity globally forces us as well to widen the lens. The risks aren't just for the U.S., but around the world. For Latin America and Asia in particular, key economies have higher tariff supply to U.S. goods than vice versa.So, we can't ignore the potential global effects of a reciprocal tariff.Ultimately, though, we are retaining our baseline view that only tariffs on China will prove to be durable and that the delayed implementation we've seen so far is consistent with that view. Nevertheless, the broad risks are clear.Thanks for listening. And 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.

20 Feb 4min