Who’s Disrupting — and Funding — the AI Boom

Investors in the education sector have focused on threats from generative AI, but may be missing the potential for greater efficiency and new opportunities in workforce reskilling.----- Transcript -----Welcome to Thoughts on the Market. I'm Brenda Duverce from the Morgan Stanley Sustainability Research Team. Along with my colleagues bringing you a variety of perspectives. Today I'll discuss the potential impact of generative AI on the global education market. It's Tuesday, November 28th at 10 a.m. in New York. When ChatGPT was first introduced, it disrupted the education system with the threat of plagiarism and misinformation, and some school systems have banned it. Some companies in the educational technology space were initially affected by this, but have since recovered as the risks have become clearer. Still, investors appear to be overly focused on the risks GenAI poses to education companies, missing the potential upside GenAI can unlock. From a sustainability perspective, we view GenAI as an opportunity to drive improvements to society in general, with education being one core use case. We would highlight two areas where GenAI will be key. One, in improving the overall education experience and two, in helping to reskill or upskill an evolving workforce. Starting with the quality of the education experience, GenAI has the potential to transform learning and teaching, from automating tasks with chatbots to creating adaptive learning solutions. Applications such as auto grading, large language model based tutors and retention management can drive efficiencies and increase productivity. We see efficiencies driving $200 billion of value creation and education over the next three years. In the fragmented education market, we expect lower costs to flow through to prices as companies pass along cost savings to maximize volumes. The second key area that we highlight from a sustainability angle is the reskilling and upskilling of the workforce. We think the market may be under appreciating the role education companies can have in this respect. Many fear that GenAI would lead to substantial job losses in various areas of the economy, and the market sometimes assumes that job loss leads to permanent displacement of workers long term. But we argue this isn't necessarily true. Workers typically re-enter the labor force with an updated skill set. Take, for instance, the introduction of ATMs and the concerns that ATMs would replace bank tellers and lead to significant job loss. This didn't prove to be the case. Over time, there were fewer tellers per bank branch, but the overall number of tellers continued to rise. Furthermore, the bank teller role evolved as customers sought a better experience and bank tellers responded by reskilling. Another example of this type of disruption was the introduction of the spreadsheet in the accounting industry. Many argued that spreadsheets would replace accounting jobs. However, data from the Bureau of Labor Statistics indicates the opposite, the number of accountants and financial managers rose significantly. When it comes to reskilling or upskilling workers impacted by GenAI, we think this could cost somewhere around $16 billion within the next three years. Thanks for listening. If you enjoy Thoughts on the Market, please take a moment to rate and review us on the Apple Podcasts app. It helps more people find the show.

28 Marras 20233min

Morgan Stanley published its 2024 macroeconomic and investment outlooks last week after spirited debates among our economists and strategists. Three topics animated much of this year’s discussion: lingering concerns about recession; China; and the challenging real estate market in the U.S.----- Transcript -----Welcome to Thoughts on the Market. I am Vishy Tirupattur, Morgan Stanley's Chief Fixed Income Strategist. Along with my colleagues, bringing you a variety of perspectives, I'll be talking about some of the key debates we engaged in during our year ahead outlook process. It's Monday, November 27th at 10 a.m. in New York. We published our Year Ahead Global Economics and Strategy Outlook last Sunday and more detailed asset class and country specific outlooks have been streaming out since. At Morgan Stanley Research the outlooks are the culmination of a process involving much deliberation and spirited debate among economists and strategists across all regions and asset classes we cover. While we strive for cohesion and consistency in our outlook across economies and markets, we are convinced that in a highly interconnected world, facing numerous uncertainties, challenging each other's views makes the final product much stronger. In that spirit, here are some of the key debates we engaged in along the way. Slowdown but not recession? In their baseline scenario, our economists expect a significant slowdown in developed market economies while inflation is tamed and outright recession is avoided. Unsurprisingly, the prospect of a substantial slowdown that does not devolve into a recession was debated at length. Our economists maintain that while recessions remain a risk everywhere, they expect any recession, such as the one in the United Kingdom, to be shallow. Since inflation is falling with full employment, real incomes should hold up, leaving consumption resilient despite more volatile investment spending. Our economists call for policy easing to start across several DM economies in the middle of 2024 was also much discussed. For the U.S., our economists call for 100 basis points of rate cuts starting around the second half of the year and the cuts begin even before inflation target has been achieved and without a spike in the unemployment rate. The motivation here is not that the Fed will cut to stimulate the economy, but the cuts are a move towards a more normalized monetary policy. As the economy begins to slow and net new jobs created fall below replacement levels, we think that the Fed sees the need to normalize policy instead of maintaining policy at very restrictive levels. The China question. Relative to the expectations in our mid-year outlook, China growth surprised to the downside. We clearly overestimated the ability and willingness of China policymakers to restore vigor to the economy. Thus, as we debated China, we spent time on the policy measures needed to offset the drag from the looming 3D trap of debt, deflation and demographics. We look for subpar improvement in both growth and inflation in 2024, with real GDP growth reaching a below consensus 4.2%. More central government led stimulus will only cushion the economy against continued deleveraging in the housing sector and local government financial vehicles.Real estate challenges. U.S. residential and commercial real estate markets diverged dramatically over the course of 2023, and their trajectory in the year ahead was an important debate. The dramatic affordability challenges posed by higher mortgage rates caused a significant pullback in existing home sales, renewing decreases in inventory that provided near-term support for home prices. On the other hand, the combination of challenges for key lenders such as regional banks and secular challenges to select property types such as offers coupled with an imminent and persistent wall of maturities that need to be refinanced, drove commercial real estate prices and sales meaningfully lower. Looking ahead, as rates come down, we expect affordability to improve and for sale inventory of homes to increase. U.S. home prices should see modest declines, about 3% as the growth in inventory offsets the increased demand, with fundamental stressors still largely unresolved, we expect the outlook for commercial real estate to remain challenging. Thanks for listening. If you enjoy the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

27 Marras 20234min

Original Release on November, 7th 2023: AI could help video game companies boost engagement and consumer spending, but could also introduce competition by making it easier for new companies to enter the industry.----- Transcript -----Welcome to Thoughts on the Market. I'm Matt Cost from the Morgan Stanley US Internet Team. Along with my colleagues, bringing you a variety of perspectives, today I'll discuss how A.I could change the video game industry. It's Tuesday, November 7th at 10 a.m. in New York. New A.I tools are starting to transform multiple industries, and it's hardly a surprise that the game industry could see a major impact as well. As manual tasks become more automated and the user experience becomes increasingly personalized, A.I. tools are starting to change the way that games are made and operated. Building video games involves many different disciplines, including software development, art and writing, among others. Many of these processes could become more automated over time, reducing the cost and complexity of making games and likely reducing barriers to entry. And since we expect the industry to spend over $100 billion this year building and operating games, there's a significant profit opportunity for the industry to become more efficient. Automated content creation could also offer more tailored experiences and purchase options to consumers in real time, potentially boosting engagement and consumer spending. Consider, for example, a game that not only makes offers when a consumer is most likely to spend money, but also generates in-game items designed to appeal to that specific person's preferences in real time. Beyond A.I generated content, we also need to consider the impact of user generated content. Some popular titles already depend on the users to shape the game around them, and this is another core area that could be transformed by A.I.. Faster and easier to use content creation tools could make it easier for games to tap into the creativity of their users. And as we've seen with major social platforms, relying on users to create content can be a big opportunity. With all that said, these transformational opportunities create downside risk as well. Today's large game publishers rely on their scale and domain expertise to differentiate their products from competitors. But while new A.I. tools could make game development more efficient, they could also lower barriers to entry for new competitors to jump into the fray and put pressure on the incumbents. Another risk is that A.I. tools could fail to drive the hope for efficiencies and cost savings in the first place. Not all technology breakthroughs in the past have helped the industry become more profitable. In some cases, industry leaders have decided to reinvest cost savings back into their products to make sure that they deliver bigger and better games to stay ahead of the competition. With that in mind, the biggest challenge for today's industry leaders could be making sure that they find ways to differentiate their products as A.I. tools make it easier for new firms to compete. Where does all of that leave us? Although a number of A.I. tools are already being used in the game industry today, adoption is just beginning to tick up and there's a lot of room for the tools to improve. With that in mind, we think we're just on the cusp of this A.I. driven revolution, and we may have to get through a few more castles to find the princess. Thanks for listening. If you enjoyed the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

24 Marras 20233min

Original Release on November, 2nd 2023: Generative AI could transform the nature of work and boost productivity, but companies and governments will need to invest in reskilling.----- Transcript -----Stephen Byrd: Welcome to Thoughts in the Market. I'm Stephen Byrd, Morgan Stanley's Global Head of Sustainability Research. Seth Carpenter: And I'm Seth Carpenter, the Global Chief Economist. Stephen Byrd: And on the special episode of the podcast, we'll discuss how generative A.I. could reshape the US economy and the labor market. It's Thursday, November 2nd at 10 a.m. in New York. Stephen Byrd: If we think back to the early 90's, few could have predicted just how revolutionary the Internet would become. Creating entirely new professions and industries with a wide ranging impact on labor and global economies. And yet with generative A.I. here we are again on the cusp of a revolution. So, Seth, as our global chief economist, you've been assessing the overarching macro implications of the Gen A.I. phenomenon. And while it's still early days, I know you've been thinking about the range of impacts Gen A.I could have on the global economy. I wondered if you could walk us through the broad parameters of your thinking around macro impacts and maybe starting with the productivity and the labor market side of things? Seth Carpenter: Absolutely, Stephen. And I agree with you, the possibilities here are immense. The hardest part of all of this is trying to gauge just how big the effects might be, when they might happen and how soon anyone is going to be able to pick up on the true changes and things. But let's talk a little bit about those two components, productivity and the labor market. They are very closely connected to each other. So one of the key things about generative A.I is it could make lots of types of processes, lots of types of jobs, things that are very knowledge base intensive. You could do the same amount of work with fewer people or, and I think this is an important thing to keep in mind, you could do lots more work with the same number of people. And I think that distinction is really critical, lots of people and I'm sure you've heard this before, lots of people have a fear that generative A.I is going to come in and destroy lots of jobs and so we'll just have lots of people who are out of work. And I guess I'm at the margin a lot more optimistic than that. I really do think what we're going to end up seeing is more output with the same amount of workers, and indeed, as you alluded to before, more types of jobs than we've seen before. That doesn't exactly answer your question so let's jump into those broad parameters. If productivity goes up, what that means is we should see faster growth in the economy than we're used to seeing and I think that means things like GDP should be growing faster and that should have implications for equities. In addition, because more can get done with the same inputs, we should see some of the inflationary pressures that we're seeing now dissipate even more quickly. And what does that mean? Well, that means that at least in the short run, the central bank, the Fed in the U.S., can allow the economy to run a little bit hotter than you would have thought otherwise, because the inflationary pressures aren't there after all. Those are the two for me, the key things one, faster growth in the economy with the same amount of inputs and some lower inflationary pressures, which makes the central bank's job a little bit easier. Stephen Byrd: And Seth, as you think about specific sectors and regions of the global economy that might be most impacted by the adoption of Gen A.I., does anything stand out to you? Seth Carpenter: I mean, I really do think if we're focusing just on generative A.I, it really comes down, I think a lot to what can generative A.I do better. It's a lot of these large language models, a lot of that sort of knowledge based side of things. So the services sector of the economy seems more ripe for turnover than, say, the plain old fashion manufacturing sector. Now, I don't want to push that too far because there are clearly going to be lots of ways that people in all sectors will learn how to apply these technology. But I think the first place we see adoption is in some of the knowledge based sectors. So some of the prime candidates people like to point to are things like the legal profession where review of documents can be done much more quickly and efficiently with Gen A.I. In our industry, Stephen in the financial services industry, I have spoken with clients who are working to find ways to consume lots more information on lots of different types of firms so that as they're assessing equity market investments, they have better information, faster information and can invest in a broader set of firms than they had before. I really look to the knowledge based sectors of the economy as the first target. You know, so that Stephen is mostly how I'm thinking about it, but one of the things I love about these conversations with you is that I get to start asking questions and so here it is right back at you. I said that I thought generative A.I is not going to leave large swaths of the population unemployed, but I've heard you say that generative A.I is really going to set the stage for an unprecedented demand in reskilling workers. What kind of private sector support from corporations and what sort of public sector support from governments do you expect to see? Stephen Byrd: Yeah Seth, I mean, that point about reskilling, I think, is one of the most important elements of the work that we've been doing together. This could be the biggest reskilling initiative that we'll ever see, given how broad generative A.I really is and how many different professions generative A.I could impact. Now, when we think about the job impacts, we do see potential benefits from private public partnerships. They would be really focused on reskilling and upskilling workers and respond to the changes to the very nature of work that's going to be driven by Gen A.I. And an example of some real promising efforts in that regard was the White House industry joint efforts in this regard to think about ways to reskill the workforce. That said, there really are multiple unknowns with respect to the pace and the depth of the employment impacts from A.I. So it's very challenging to really scope out the magnitude and cadence a nd that makes joint planning for reskilling and upskilling highly challenging. Seth Carpenter: I hear what you're saying, Stephen, and it is always hard looking into the future to try to suss out what's going on but when we think about the future of work, you talked about the possibility that Gen A.I could change the nature of work. Speculate here a little bit for me. What do you think? What could be those changes in terms of the actual nature of work? Stephen Byrd: Yeah, you know, that's what's really fascinating about Gen A.I and also potentially in terms of the nature of work and the need to be flexible. You know, I think job gains and losses will heavily depend on whether skills can be really transferred, whether new skills can be picked up. For those with skills that are easy to transfer to other tasks in occupations, you know, disruptions could be short lived. To this point the tech sector recently experienced heavy layoffs, but employees were quickly absorbed by the rest of the economy because of overall tight labor market, something you've written a lot about Seth. And in fact, the number of tech layoffs was around 170,000 in the first quarter of 2023. That's a 17 fold increase over the previous year. While most of these folks did find a new job within three months of being laid off, so we do see this potential for movements, reskilling, etc., to be significant. But it certainly depends a lot on the skill set and how transferable that skill set really is. Seth Carpenter: How do you start to hire people at the beginning of this sort of revolution? And so when you think about those changes in the labor market, do you think there are going to be changes in the way people hire folks? Once Gen A.I becomes more widespread. Do you think workers end up getting hired based on the skill set that they can demonstrate on some sort of credentials? Are we going to see somehow in either diplomas or other sorts of certificates, things that are labeled A.I? Stephen Byrd: You know, I think there is going to be a big shift away from credentials and more heavily towards skills, specific skill sets. Especially skills that involve creativity and also skills involving just complex human interactions, human negotiations as well. And it's going to be critical to prioritize skills over credentials going forward as, especially as we think about reskilling and retraining a number of workers, that's going to be such a broad effort. I think the future work will require hiring managers to prioritize these skills, especially these soft skills that I think are going to be more difficult for A.I models to replace. We highlight a number of skills that really will be more challenging to automate versus those that are less challenging. And I think that essentially is a guidepost to think about where reskilling should really be focused. Seth Carpenter: Well, Stephen, I have to say I'd be able to talk with you about these sorts of things all day long, but I think we've run out of time. So let me just say, thank you for taking some time to talk to me today. Stephen Byrd: It was great speaking with you, Seth.Seth Carpenter: And thanks to the listeners for listening. If you enjoyed Thoughts on the Market, please leave us a review on Apple Podcasts and share the podcast with a friend or colleague today.

22 Marras 20238min

Third-quarter consumer spending was strong, but a growing gap between middle- and higher-income consumers may affect the holiday shopping season.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. I'm Michelle Weaver from the Morgan Stanley U.S Equity Strategy Team. Sarah Wolfe: And I'm Sarah Wolfe and the U.S Economics Team. Michelle Weaver: On this special episode of the podcast, we wanted to give you an update on the U.S. consumer and a preview of our holiday spending expectations this year. It's Tuesday, November 21st at 10 a.m. in New York. Michelle Weaver: Sarah, recent data releases and your modeling suggests that U.S. consumer spending will begin to slow more meaningfully in 2024 and 2025. And you've argued that the slowdown in consumption is driven by a cooling labor market which weighs on real disposable income and elevated rates, putting further pressure on debt service costs. Given all this, would you say that the U.S. consumer is still healthy as we approach the holiday season and the end of the year? Sarah Wolfe: You're exactly right. Consumer spending in the third quarter was very strong, and we know that there's going to be some more of that underlying momentum pulled into the fourth quarter, which includes holiday shopping season. Just last week, we got the October retail sales report, which did show a notable deceleration in consumer spending from the third quarter into the fourth quarter, but still positive retail sales. There are a few reasons, however, that, you know, we take pause at saying that the holiday shopping season is going to be very strong. The first is that there is this growing discrepancy between the health of a struggling lower middle income household versus the solid higher income household. The second is the expiration of the student loan forbearance. We know that about half of borrowers have started making payments as of October. And the third is the wallet shift away from goods and toward services that will impact the type of holiday spending. I would like to hone in on this discrepancy between the health of the lower middle income household and higher income households. We've highlighted that lower middle income households have been pulling back more in discretionary and they've been trading down as they're disproportionately being hit by tighter lending standards, higher inflation, higher debt service costs. And that's likely going to reflect the type of holiday spending that we see this year. In particular, higher income households have just more buying power, they're more willing to spend on experiences. And so we could just see that holiday shopping that's more skewed towards higher income spenders and that's more experience oriented will be the winners of this holiday shopping season. Michelle Weaver: What specific trends have you seen in U.S. consumer spending in the third quarter? And what do you expect for the final quarter of this year? Sarah Wolfe: Consumer spending in the third quarter was really strong because the labor market largely was very resilient, and as a result, we saw that there was just more momentum for goods and services spending, so both reaccelerated into the third quarter. However, what we could see is that there still is this clear preference shift on experiences over goods in particular accommodations, travel, etc. And so I think that's going to feed through into the type of holiday shopping that we see this year. Michelle Weaver: And I know that during Covid, consumers were able to save a lot more money than usual. How are these excess savings balances looking now and what do you expect going forward? Sarah Wolfe: We estimate that about 40% of the excess savings stockpile has been spent down, so there's still a pretty hefty 60% of excess savings sitting among households. However, we do not expect much more drawdown in excess savings across 2024. The reason is that our work shows that the excess savings stockpile is increasingly being held by the highest income households. They, first of all, have a lower propensity to consume out of savings, but more importantly, they had been willing to spend down their excess savings over the past two years. But that was to fuel their pent up demand for the services, economy recovery. And now that we've seen a full recovery on that side of the economy, there's really just less desire, less willingness to spend out of excess savings. Further, we're seeing that there's been an increasing movement from liquid to less liquid assets. So more and more of that savings is not just sitting in cash under the bed and so it's less likely to make its way into consumer spending. Michelle, based on your recent survey work in collaboration with U.S. Equity Analyst, what are you seeing in terms of holiday spending intentions for U.S. consumers this year compared to last year? Michelle Weaver: So the majority of holiday shoppers are planning to keep their holiday budgets roughly the same this year. And this means that retailers will be competing for a similarly sized budget pool versus last year and have to offer competitive prices to get shoppers to choose their products. As consumers seek out deals and discounts, they're also likely to stagger their purchases throughout the holiday season. Sarah Wolfe: Can we dig a little bit more into what people plan to spend their money on for the holiday season? I talked about how we're seeing this clear preference away from goods and towards services in the economic data. Is that where you're hearing in the survey data about holiday spending intentions? Michelle Weaver: Definitely, the services over goods shift that's been playing out since the end of the pandemic is likely to remain relevant this holiday shopping season. Our analysts are expecting weaker results in goods oriented industries like clothing and apparel, toys and electronics, while airlines remain the one bright spot, with consumers continuing to prioritize holiday travel. The biggest spending declines are expected to come in luxury goods, sports equipment, home and kitchen products and electronics. Sarah Wolfe: And let's talk about e-commerce. I just feel like the promotions for online sales have just gotten earlier and earlier every year. How big is e-commerce going to be for this holiday shopping season? Michelle Weaver: Overall, the share of expected holiday spending is evenly split between in-store and online platforms. Lower income consumers expect to shop slightly more in store, though, while upper income consumers have a higher share allocated to online shopping. For e-commerce more broadly, the industry has decelerated since the summer, setting up for a slower holiday. Sarah, you've been following the disinflationary cycle that's been underway, mainly driven by core goods deflation and disinflation in housing Consumer Price Index. October's CPI came in below expectations. Is this a relief for the consumer wallet and where do you expect inflation to trend from here? Sarah Wolfe: This is definitely a relief for consumers. We're seeing that as inflation continues to step down with a tight labor market, real wages are rising and this is really a silver lining for households for next year. In particular, if you look at real wages, they were -3% year-over-year across 2022. I mean, deeply negative, really stripping away consumer buying power. And then if you look at today, because of all the progress we've got in inflation without a hit to the labor market, real wages are now up. And we're expecting that real wages will continue to rise into 2024 as inflationary pressures abate and the labor market remains resilient. Michelle Weaver: Sarah, thanks for taking the time to talk. Sarah Wolfe: It was great speaking with you, Michelle. Michelle Weaver: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review on Apple Podcasts and share the podcast with a friend or colleague today.

21 Marras 20236min

The next phase in artificial intelligence could be “edge AI,” which lowers costs and improves security by embedding AI capabilities directly in smartphones and other devices.----- Transcript -----Welcome to Thoughts on the Market. I'm Ed Stanley, Morgan Stanley's Head of Thematic Research in Europe. And along with my colleagues, bringing you a variety of perspectives, today I'll discuss Edge A.I. It's Monday, the 20th of November at 2 p.m. in London. The last year has seen a surge in adoption of artificial intelligence, particularly for foundational model builders and consumer-facing chatbots. But we think the next big wave of A.I will be embedded in consumer devices, this is smartphones, notebooks, wearables, drones and autos, amongst others. Enter Edge A.I. This means running A.I algorithms locally rather than in centralized cloud computing facilities in order to power the killer apps of the A.I age. Generative A.I., cloud computing, GPUs and hyperscalers, that is, the large cloud service providers that run computing and storage for enterprises. They all remain central to the secular machine learning trend. However, as A.I continues to permeate through all aspects of consumer life and enterprise productivity, it will push workloads to hardware devices at the edge of networks. The US data firm Gartner estimates that by 2025, half of enterprise data will be created at the Edge, across billions of battery powered devices. The key benefits of A.I computation performed at the Edge are lower cost, lower latency personalization and importantly, higher security or privacy relative to centralized cloud computing. And the prize in moving these workloads to the Edge is large, we're talking some 30 billion devices by the end of the decade, but the hurdles are also significant. We think 2024 will be a catalyst year for this theme. And the companies that could benefit range from household name hardware vendors to key components suppliers around the world. But just as there are benefits to Edge A.I, there are constraints as well. Not all Edge devices are created equal, for example. The clearest limitations across hardware media are battery life and power consumption, processing capabilities and memory, as well as form factor, i.e. how they look. For example, mass market smartphones and notebooks today don't have the battery life or processing capability to run inferencing of the largest large language models. This will have to change over time, which will require investment predominantly in advanced proprietary silicon or custom ASICs as they're known, of which we've seen a number of announcements from big tech companies in recent weeks. The hardware arms race is really heating up in our view. It's important to note, though, that generative A.I. and Edge A.I are not mutually exclusive. In fact, Generative A.I. has reinforced the already growing need for edge A.I. Our consumer and investor trend analysis suggests that the theme is already moving into its upswing phase. Moreover, a slate of new product releases as soon as Q1 2024, such as Edge A.I enabled smartphones with embedded custom silicon, should drive further investor interest in this theme over the coming 12 months. And we think smartphones stand the best chance of breaking the bottleneck soonest and they also have the largest total addressable market potential in the short and medium term. This is an uncrowded theme which we think is in pole position for 2024. Thanks for listening. If you enjoy the show, please leave a review on Apple Podcasts and shared Thoughts on the Market with a friend or a colleague today.

20 Marras 20233min

Our Chief U.S. Economist previews the key economic themes of 2024, including potential rate cuts, housing affordability, job growth and more. ----- Transcript -----Welcome to Thoughts on the market. I'm Ellen Zentner. Morgan Stanley's Chief U.S. Economist. Along with my colleagues, bringing you a variety of perspectives, today, I'll discuss our 2024 outlook for the U.S. economy. It's Friday, November 17th at 10 a.m. in New York. You may remember that back in March 2022, we called for a soft landing for the U.S. economy. And we still maintain this view, even though strains in the economy are becoming more noticeable and recession fears remain alive. And that's because the Fed's monetary policy is weighing increasingly on growth and especially next year. High rates for longer are causing a persistent drag, bringing growth sustainably below potential over our forecast horizon. We forecast that U.S. GDP growth slows from an estimated 2.5% this year on a Q4 over Q4 basis to 1.6% in 2024 and 1.4% in 2025. We also expect U.S. consumer spending to begin to slow more meaningfully in 2024 and 2025, driven by a cooling labor market which weighs on real disposable income and elevated rates, putting further pressure on debt service costs. But there are some positive indicators for the year ahead as well. We think that business investment and equipment will finally turn positive by the second half of next year following two years of decline, while the surge in nonresidential construction should move to a lower but more sustainable pace. Bank lending conditions have tightened sharply for the past year, but in public credit markets, many businesses refinanced while rates were still low. Turning to the housing market, we expect home sales to be weak in the first half of next year, but activity should pick up in the second half and further into 2025. And that's primarily because affordability will improve. We also think homebuilding activity will be stronger in the second half of next year. Home prices should see modest declines as growth in inventory offsets the increase in demand. By 2025 with lower rates existing home sales should rise more convincingly. We see job growth slowing throughout the forecast horizon, although we expect the unemployment rate to remain low because companies will still be focused on retaining headcount. And the labor force participation rate should continue to recover, with real wage growth increasing in 2024 and 2025. Now, inflation, which was at record highs last year, has been decelerating, mainly driven by core goods deflation and disinflation in housing. We expect negative monthly data releases for core goods inflation through the forecast horizon. So we continue to think that the Fed is done to here, that back in July of this year, the funds rate peaked at 5.375% for this cycle, and we think they're on hold now until June 2024, when we expect the Fed to take its first cautious step with a 25 basis point cut, followed by a 25 basis point cut one quarter later in September. In the fourth quarter of 2024, the Fed will likely begin cutting 25 basis points every meeting, eventually bringing the real rate to .4% by the fourth quarter of 2025, when core inflation, GDP growth and unemployment are near neutral. Thanks for listening. If you enjoy the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

17 Marras 20233min

After poor performance in 2022, a traditional 60/40 equity/bond portfolio could see an annual return around 8% over the next decade.----- Transcript -----Welcome to your Thoughts on the Market. I'm Serena Tang, Morgan Stanley's Chief Cross Asset Strategist. Along with my colleagues, bringing you a variety of perspectives, today, I'll discuss our long run expectations for what markets will return in 2024. It's Thursday, November 16th at 10 a.m. in New York. 2023 has seen a relentless rise in government bond yields. This has hit total multi-asset returns this year, while also lifting nominal expected returns over the long run for fixed income and stocks above historical averages. U.S. equities are expected to return about 9.6% per year for the next decade, little change from the level last year. While ten year U.S. Treasuries are projected to be at 5.8%, up quite significantly from 4.7% in 2022. But the steeper climb in nominal long run expected returns for government bonds is also eroded risk premiums, that is the investment returns assets are expected to yield over and above risk free assets. For example, the equity risk premium for U.S. stocks sits at around 3.8%, down from 4.9% just a year ago. Given soaring yields over the last three months, it's understandable why some investors may be skeptical of fixed income. Except today's higher yields are a strong reason to buy bonds because they can better cushion fixed income returns. In fact, looking across assets, fixed income stands as being particularly cheap to equities relative to history. European and Japanese equities screen cheap to most other assets on an FX-hedged basis, and Euro-denominated assets look cheap to dollar denominated assets. Furthermore, our estimated optimal allocation to agency mortgage backed securities has increased at the expense of investment grade credit over the past year, reflecting how cheap mortgages are relative to other markets. Against this backdrop, a traditional 60/40 portfolio which allocates 60% to stocks and 40% to bonds and carries a moderate level of risk, looks viable once again despite its poor performance in 2022, when both stocks and bonds suffered greatly amid record inflation and aggressive interest rate hikes. From where we sit now, the high long run expected returns across most assets mean that a traditional 60/40 equity bond dollar portfolio would see about 8% per year over the next decade. The last time it was this high was in 2013 and surely a 60/40 equity bond euro portfolio could see 7.7% per year over the next 10 years, the most elevated since 2011.While long-run expected returns have climbed higher, unfortunately for 60/40 strategies correlation has surged. We still think there's some diversification benefits/volatility reduction in a 60/40 portfolio from bonds’ low risk rather than low correlation, but the rise in bond volatility has also challenged this fear. The big question here is whether the high correlation between stocks and bonds will normalize. There's an argument that it won't, and perhaps surprisingly, it's all to do with A.I. Now, for the last three decades or so, the positive relationship between growth and inflation has been an important factor on negative correlation between stocks and bonds. Higher inflation erodes bond returns, and that's offset by higher stock returns from rising growth and vice versa. But in the case of A.I technology diffusions, we can see a boost to growth and reduction in inflation in the short run, which in turn challenges assumptions that stock and bond returns will have low to negative correlations in the future. In other words, bonds, as was the case this year, would no longer be the good diversifier they have been over the last three decades. Timing and sequencing will matter, and how A.I. may impact growth inflation correlations is only one of many factors that can move multi-asset correlation over time. Thanks for listening. If you enjoy the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

16 Marras 20234min