Future of Work: AI’s Impact on Industries

Future of Work: AI’s Impact on Industries

In the first of a two-part roundtable discussion, our Global Head of Research joins our Global Head of Thematic Research and Head of Firmwide AI to discuss how the economic and labor impacts of AI adoption.

Read more insights from Morgan Stanley.


----- Transcript -----

Kathryn Huberty: Welcome to Thoughts on the Market. I'm Katy Huberty, Morgan Stanley's Global Head of Research, and I'm joined by Stephen Byrd, Global Head of Thematic Research, and Jeff McMillan, Morgan Stanley's Head of Firm-wide AI.

Today and tomorrow, we have a special two-part episode on the number one question everyone is asking us: What does the future of work look like as we scale AI?

It's Tuesday, November 4th at 10am in New York.

I wanted to talk to you both because Stephen, your groundbreaking work provides a foundation for thinking through labor and economic impacts of implementing AI across industries. And Jeff, you're leading Morgan Stanley's efforts to implement AI across our more than 80,000 employee firm, requiring critical change management to unlock the full value of this technology.

Let's start big picture and look at this from the industry level. And then tomorrow we'll dig into how AI is changing the nature of work for individuals.

Stephen, one of the big questions in the news – and from investors – is the size of AI adoption opportunity in terms of earnings potential for S&P 500 companies and the economy as a whole. What's the headline takeaway from your analysis?

Stephen Byrd: Yeah, this is the most popular topic with my children when we talk about the work that I do. And the impacts are so broad. So, let's start with the headline numbers. We did a deep dive into the S&P 500 in terms of AI adoption benefits. The net benefits based on where the technology is now, would be about little over $900 billion. And that can translate to well over 20 percent increased earnings power that could generate over $13 trillion of market cap upon adoption. And importantly, that's where the technology is now.

So, what's so interesting to me is the technology is evolving very, very quickly. We've been writing a lot about the nonlinear rate of improvement of AI. And what's especially exciting right now is a number of the big American labs, the well-known companies developing these LLMs, are now gathering about 10 times the computational power to train their next model. If scaling laws hold that would result in models that are about twice as capable as they are today. So, I think 2026 is going to be a big year in terms of thinking about where we're headed in terms of adoption. So, it's frankly challenging to basically take a snapshot because the picture is moving so quickly.

Kathryn Huberty: Stephen, you referenced just the fast pace of change and the daily news flow. What's the view of the timeline here? Are we measuring progress at the industry level in months, in years?

Stephen Byrd: It's definitely in years. It's fast and slow. Slow in the sense that, you know, it's taken some companies a little while now and some over a year to really prepare. But now what we're seeing in our CIO survey is many companies are now moving into the first, I'd say, full fledged adoption of AI, when you can start to really see this in numbers.

So, it sort of starts with a trickle, but then in 2026, it really turns into something much, much bigger. And then I go back to this point about non-linear improvement. So, what looks like, areas where AI cannot perform a task six months from now will look very different. And I think – I'm a former lawyer myself. In the field of law, for example, this has changed so quickly as to what AI can actually do. So, what I expect is it starts slow and then suddenly we look at a wide variety of tasks and AI is fairly suddenly able to do a lot more than we expect.

Kathryn Huberty: Which industries are likely to be most impacted by the shift? And when you broke down the analysis to the industry and job level, what were some of the surprises?

Stephen Byrd: I thought what we would see would be fairly high-tech oriented sectors – and including our own – would be top of the list. What I found was very different. So, think instead of sectors where there's fairly low profit per employee, often low margin businesses, very labor-intensive businesses. A number of areas in healthcare staples came to the top. A few real estate management businesses. So, very different than I expected.

The very high-tech sectors actually had some of the lowest numbers, simply because those companies in high-tech tend to have extremely high profit per employee. So, the impact is a lot less. So that was surprising learning. A lot of clients have been digging into that.

Kathryn Huberty: I could see why that would've surprised you. But let's focus on banking for a moment since we have the expert here. Jeff, what are some of the most exciting AI use cases in banking right now?

Jeff McMillan: You know, I would start with software development, which was probably the first Gen AI use case out of the gate. And not only was it first, but it continues to be the most rapidly advancing. And that's probably; mostly a function of the software, you know, development community. I mean, these are developers that are constantly fiddling and making the technology better.

But productivity continues to advance at a linear pace. You know, we have over 20,000 folks here at Morgan Stanley. That's 25 percent of our population. And, you know, the impact both in terms of the size of that population and the efficiencies are really, really significant.

So, I would start there. And then, you know, once you start moving past that, it may not seem, you know, sexy. It's really powerful around things like document processing. Financial services firms move massive amounts of paper. We take paper in, whether it be an account opening, whether it be a contract. Somebody reads that information, they reason about it, and then they type that information into a system. AI is really purpose built for that.

And then finally, just document generation. I mean, the number of presentations, portfolio reviews, you know, even in your world, Katy, research reports that we create. Once again, AI is really just – it's right down the middle in terms of its ability to generate just content and help people reduce the time and effort to do that.

Kathryn Huberty: There's a lot of excitement around AI, but as Stephen mentioned, it's not a linear path. What are the biggest challenges, Jeff, to AI adoption for a big global enterprise like Morgan Stanley? What keeps you up at night?

Jeff McMillan: I've often made the analogy that we own a Ferrari and we're driving around circles in a parking lot. And what I mean by that is that the technology has so far advanced beyond our own capacity to leverage it. And the biggest issue is – it's our own capacity and awareness and education.

So, what keeps me up at night? it's the firm's understanding. It's each person's and each leader's ability to understand what this technology can do. Candidly, it's the basics of prompting. We spend a lot of time here at the firm just teaching people how to prompt, understanding how to speak to the machine because until you know how to do that, you don't really understand the art of the possible. I tell people, if you have $100 to spend, you should start spending [$]90, on educating your employee base. Because until you do that, you cannot effectively get the best out of the technology.

Kathryn Huberty: And as we look out to 2026, what AI trends are you watching closely and how are we preparing the firm to take advantage of that?

Jeff McMillan: You and I were just out in Silicon Valley a couple of weeks ago, and seemingly overnight, every firm has become an agentic one. While much of that is aspirational, I think it's actually going to be, in the long term, a true narrative, right? And I think that step where we are right now is really about experimentation, right? I think we have to learn which tools work, what new governance processes we need to put in place, where the lines are drawn. I think we're still in the early stage, but we're leaning in really hard.

We've got about 20 use cases that we're experimenting with right now. As things settle down and the vendor landscape really starts to pan out, we'll be down position to fully take advantage of that.

Kathryn Huberty: A key element of the agentic solutions is linking to the data, the tools, the application that we use every day in our workflow. And that ecosystem is developing, and it feels that we're now on the cusp of those agentic workflow applications taking hold.

Stephen Byrd: So, Katy, I want to jump in here and ask you a question too. With your own background as an IT hardware analyst, how does the AI era compare to past tech or computing cycles? And what sort of lessons from those cycles shape your view of the opportunities and challenges ahead?

Kathryn Huberty: The other big question in the market right now is whether an AI bubble is forming. You hear that in the press. It's one of the questions all three of us are hearing regularly from clients. And implicit in that question is a view that this doesn't look like past cycles, past trends. And I just don't believe that to be the case.

We actually see the development of AI following a very similar path. If you go back to mainframe and then minicomputer, the PC, internet, mobile, cloud, and now AI. Each compute cycle is roughly 10 times larger in terms of the amount of installed compute.

The reality is we've gone from millions to billions to trillions, and so it feels very different. But the reality is we have a trillion dollars of installed CPU compute, and that means we likely need $10 trillion of installed GPU compute. And so, we are following the same pattern. Yes, the numbers are bigger because we keep 10x-ing, but the pattern is the same. And so again, that tells us we're in the early innings. You know, we're still at the point of the semiconductor technology shipping out into infrastructure. The applications will come.

The other pattern from past cycles is that exponential growth is really difficult for humans to model. So, I think back to the early days when Morgan Stanley's technology team was really bullish, laying the groundwork for the PC era, the internet era, the mobile era. When we go back and look at our forecasts, we always underestimated the potential. And so that would suggest that what we've seen with the upward earnings revisions for the AI enablers and soon the AI adopters is likely to continue.

And so, I see many patterns, you know, that are thread across computing cycles, and I would just encourage investors to realize that AI so far is following similar patterns.

Jeff McMillan: Katy, you make the point that much of the playbook is the same. But is there anything fundamentally different about the AI cycle that investors should be thinking about?

Kathryn Huberty: The breadth of impact to industries and corporates, which speaks to Stephen's work. We have now four times over mapped the 3,700 companies globally that Morgan Stanley research covers to understand their role in this theme.

Are they enabling AI? Are they adopting? Are they disrupted by it? How important is it to the thesis? Do they have pricing power? It's very valuable data to go and capture the alpha. But I was looking at that dataset recently and a third of those nearly 4,000 companies we cover, our analysts are saying that AI has an impact on the investment thesis. A third. And yet we're still in the early innings. And so, what may be different, and make the impact much bigger and broader is just the sheer number of corporations that will be impacted by the theme.

Let's pause here and pick up tomorrow with more on workforce transformation and the impact on individual workers.

Thank you to our listeners. Please join us tomorrow for part two of our conversation. 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.

Jaksot(1534)

Special Encore: How Japan’s Stablecoin Could Reshape Global Finance

Special Encore: How Japan’s Stablecoin Could Reshape Global Finance

Original Release Date: October 31, 2025Our Japan Financials Analyst Mia Nagasaka discusses how the country’s new stablecoin regulations and digital payments are set to transform the flow of money not only locally, but globally.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I’m Mia Nagasaka, Head of Japan Financials Research at Morgan Stanley MUFG Securities. Today – Japan’s stablecoin revolution and why it matters to global investors. It’s Friday, October 31st, at 4pm in Tokyo. Japan may be late to the crypto market. But its first yen-denominated stablecoin is just around the corner. And it has the potential to quietly reshape how digital money moves across the country and globally. You may have heard of digital money like Bitcoin. It’s significantly more volatile than traditional financial assets like stocks and bonds. Stablecoins are different. They are digital currencies designed to maintain a stable value by being pegged to assets such as the yen or U.S. dollar. And in June 2023, Japan amended its Payment Services Acts to create a legal framework for stablecoins. Market participants in Japan and abroad are watching closely whether the JPY stablecoin can establish itself as a major global digital currency, such as Tether. Stablecoins promise to make payments faster, cheaper, and available 24/7. Japan’s cashless payment ratio jumped from about 30 percent in 2020 to 43 percent in 2024, and there’s still room to grow compared to other countries. The government’s push for fintech and digital payments is accelerating, and stablecoins could be the missing link to a truly digital economy. Unlike Bitcoin or other cryptocurrencies, stablecoins are designed to suppress price volatility. They’re managed by private companies and backed by assets—think cash, government bonds, or even commodities like gold. Industry watchers think stablecoins can make digital payments as reliable as cash, but with the speed and flexibility of the internet. Japan’s regulatory approach is strict: stablecoins must be 100 percent backed by high-quality, liquid assets, and algorithmic stablecoins are prohibited. Issuers must meet transparency and reserve requirements, and monthly audits are standard. This is similar to new rules in the U.S., EU, and Hong Kong. What does this mean in practice? Financial institutions are exploring stablecoins for instant payments, asset management, and lending. For example, real-time settlement of stock and bond trades normally take days. These transactions could happen in seconds with stablecoins. They also enable new business models like Banking-as-a-Service and Web3 integration, although regulatory costs and low interest rates remain hurdles for profitability.Or think about SWIFT transactions, the backbone of international payments. Stablecoins will not replace SWIFT, but they can supplement it. Payments that used to take days can now be completed in seconds, with up to 80 percent lower fees. But trust in issuers and compliance with anti-money laundering rules are critical. There’s another topic on top of investors’ minds. CBDCs – Central Bank Digital Currencies. Both stablecoins and CBDCs are digital. But digital currencies are issued by central banks and considered legal tender, whereas stablecoins are private-sector innovations. Japan is the world’s fourth-largest economy and considered a leader in technology. But it takes a cautious approach to financial transformation. It is preparing for a CBDC but hasn’t committed to launching one yet. If and when that happens, stablecoins and CBDCs can coexist, with the digital currency serving as public infrastructure and stablecoins driving innovation. So, what’s the bottom line? Japan’s stablecoin journey is just beginning, but its impact could ripple across payments, asset management, and even global finance. 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 Marras 20255min

Special Encore: An Unprecedented Wave of Inheritances Is Coming

Special Encore: An Unprecedented Wave of Inheritances Is Coming

Original Release Date: October 10, 2025Our U.S. Thematic and Equity Strategist Michelle Weaver discusses how the largest intergenerational wealth transfer in history could reshape saving, spending and investment behavior across America.Read more insights from Morgan Stanley.----- Transcript ----- Michelle Weaver: Welcome to Thoughts on the Market. I'm Michelle Weaver, Morgan Stanley's U.S. Thematic and Equity Strategist.Today, a powerful force reshaping the financial lives of millions of Americans: inheritance.It's Friday, October 10th at 10am in New York.Americans are living longer and they're passing on their wealth later. Longevity is one of Morgan Stanley Research's four key themes, and this is an interesting element of longevity. As baby boomers age, they're expected to transfer their wealth to Gen X, millennials and Gen Z to the tune of tens or even hundreds of trillions of U.S. dollars.Estimates vary widely, but the amounts are unprecedented. And so, inheritance isn't just a family milestone; it's becoming an important cornerstone of financial planning and longevity. And understanding who's receiving, expecting, and using their inheritances is key to forecasting how Americans save, spend, and invest.According to our latest AlphaWise survey, 17 percent of U.S. consumers have received an inheritance, and another 14 percent expect to receive one in the future. Younger Americans are especially optimistic. Their expectations split evenly between those anticipating an inheritance within the next 10 years and those expecting it further out.But here's the kicker; income plays a huge role. Only 17 percent of lower income consumers report receiving or expecting an inheritance, but that number jumps to 43 percent among higher income households highlighting a clear wealth divide.What about the size of the inheritance? In our survey, those who received or expect to receive an inheritance fall broadly into three categories. About half reported amounts under $100,000 dollars. For about a third, that amount rose to under $500,000. And then meanwhile, 10 per cent reported an inheritance of half a million dollars or more.Younger consumers tend to report smaller amounts, while inheritance size rises with income. One important thing to remember about our survey though, is it looks more at the average person. We are missing some of those very high net worth demographics in there where I would expect inheritance to rise much higher than half a million.And so, when we think about this, how will recipients use this wealth? That's a really important question. The majority, about 60 percent, say they have or will put their inheritance towards savings, retirement, or investments. About a third say they'll use it for housing or paying down debt. Day-to-day consumption, travel, education and even starting a business or giving to charity also featured in the survey responses – but to a lesser extent.The financial impact of inheritance is significant: 46 percent of recipients say it makes them feel more financially secure; 40 percent cite improvements in savings; and 22 percent associate it with increased spending. Some even report retiring earlier or lightening their workloads.Inheritance trends are shaping consumer behavior and have the power to influence spending patterns across industries. To sum it up, inheritance isn't just a family matter, it's a market mover.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 Marras 20253min

What’s Driving U.S. Growth in 2026

What’s Driving U.S. Growth in 2026

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

25 Marras 20256min

Bull Market Keeps an Eye on the Fed

Bull Market Keeps an Eye on the Fed

Our CIO and Chief U.S. Equity Strategist Mike Wilson explains why investors might want to reassess their portfolios, keeping in mind the gap between market moves and monetary policy.Read more insights from Morgan Stanley.----- 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, why the Fed may hold the key for both near term and medium-term stock market performance. It's Monday, November 24th at 1pm in New York. So, let’s get after it. At the end of September, we discussed the building tension between the Fed and markets in terms of both the fed funds rate and liquidity, suggesting this had the potential to lead to a correction in the short-term. This scenario is playing out with high momentum and low-quality stocks responding more to tightening liquidity back in September, while the high-quality S&P 500 and Nasdaq 100 responded more to the incremental hawkishness on rate cuts relayed at the October 29th Fed meeting.While downside for the S&P 500 has been limited to just 5 percent, the damage under the surface has been more significant with two-thirds of the largest 1000 stocks seeing more than a 10 percent drawdown and one quarter down more than 20 percent. Similarly, Bitcoin is down close to 30 percent and topped even earlier than high momentum stocks. Gold also felt the impact of tighter liquidity earlier than the S&P 500, as one would expect.We’re staying vigilant around this dynamic related to monetary policy and can't rule out more index-level downside in the short-term, especially if breadth remains weak. Having said that, we think the weakness under the hood is a sign that we're closer to the end of this correction than the beginning for the weaker areas of the market. Historically, the Generals tend to fall the most at the end of corrections. As I said on this podcast back in September, we would view this type of correction and reset on expectations as an opportunity to double down on our rolling recovery thesis which remains out of consensus.From our perspective, private labor data are showing signs of weakness that suggest the Fed should be cutting rates more aggressively. This is very much in line with my core view that the rate of change trough in the labor data occurred back in April with the lows in the equity market. The official government labor data that the Fed is waiting for is lagging and will simply confirm what we, and the markets, already know. With the official October jobs data cancelled due to the shutdown and the November series not available until December 16th, the equity market may continue to wrestle with the Fed that dragging its feet and delaying rate cuts.The good news is that we expect a meaningful decline in the Treasury’s General Account in the coming weeks as the government re-opens. This should help to provide a much-needed boost to liquidity at the same time the Fed ends quantitative tightening. The question is whether these changes will be enough to improve liquidity conditions in a durable way. In my view, the clearest indication will be if we see relief in areas of the equity market and asset classes most sensitive to these dynamics over the next two weeks. That means low quality profitless growth stocks in the equity world should rally the most.Bottom line, I remain convinced in our bullish 12-month outlook for the S&P 500 and stocks more broadly. Initial feedback from investors to our recently published 2026 outlook indicates that several of our core views for 2026 remain out of consensus. More specifically, our early cycle narrative versus consensus thinking that we’re late cycle; 17 percent earnings growth next year versus the consensus at 14 percent. And finally, our upgrades of small/mid cap stocks and consumer discretionary goods to overweight. Use near term weakness related to a Fed that is moving too slow for the markets’ liking to reposition portfolio to sectors and stocks that have lagged behind for most of the past several years – but will benefit the most from the more aggressive Fed action that we expect to come.Thanks for tuning in; I hope you found it informative and useful. Let us know what you think by leaving us a review. And if you find Thoughts on the Market worthwhile, tell a friend or colleague to try it out!

24 Marras 20254min

AI Capex Boom Puts Credit Markets to the Test

AI Capex Boom Puts Credit Markets to the Test

As market murmurs about an AI bubble, our Head of Corporate Credit Research Andrew Sheets offers some perspective on the impacts of the increasing demand for debt.Read more insights from Morgan Stanley.----- Transcript -----Andrew Sheets: Welcome to Thoughts on the Market. I'm Andrew Sheets, Head of Corporate Credit Research at Morgan Stanley. Today, a look at a very different type of challenge for credit markets. It's Friday, November 21st at 6pm in Singapore. It has now been well over 15 years since the Global Financial Crisis shook the credit markets to its very core. It's hard to state just how extreme that period was. How many usual relationships and valuation approaches broke. It saw the worst credit losses in 80 years; I think, and hope, that this record will hold for the next 80. This shock, however, did have a silver lining for the credit market. After a crisis that was driven by bank balance sheets being too large and complex, they shrank and simplified. After companies saw capital markets suddenly shut, they increased their cash levels and often managed themselves more conservatively. The housing market long, the engine of debt growth in the U.S. saw much tighter lending standards and less overall borrowing. And so, all these trends had a common theme. Less bond supply. The credit market has seen numerous bouts of volatility in the years since. But these have generally been driven by concerns around the macro economy, like the eurozone crisis or COVID. Or they've been driven by companies’ specific issues such as weakness around the oil sector in the mid 2010s or the collapse of Silicon Valley Bank in 2023. The idea that there would be too much borrowing for the level of demand and that this causes market weakness, well, it just hasn't been an issue. Until – that is – now. As we've discussed on this program, there is an enormous increase underway in the amount of capital expenditure by technology companies as they look to build out the infrastructure that supports their cloud and AI ambitions. Morgan Stanley Equity Research estimates that the largest spenders will commit about $470 billion of spending this year and [$]620 billion of spending next year. That's over $1 trillion of spending in just a two-year period. And it's still growing. We see a lot of momentum behind this spending, as the companies doing it have both enormous financial resources and see it as central to their future ambitions. But all this spending, however, will need to come from somewhere. These are often very profitable companies and so we think about half will be funded from their cash flows. The other half, well, debt markets will play a big role, especially as these companies are often highly rated and so have significant capacity to borrow more. And over the last few weeks, those spigots have now turned on. Several large technology hyperscalers have been borrowing tens of billions at a clip, and they've been doing this in short succession. There is some good news here. This new borrowing has been coming at a discount, with the issuers willing to pay investors a bit more than their existing debt to take it on. Demand in turn has been very high for this debt. And in most cases, this borrowing is still well below anything that could feasibly trigger rating agency action. But it is raising a very different type of issue after a long period where, generally speaking, investors have rarely worried about excessive supply – these are very large deals coming at very large discounts, and they are moving the market. If a AA rated company is in the market willing to pay the same as a current single A, well, that existing single A credit just simply looks less attractive. As far as problems go, we think this is a generally less scary one for the market to face but is a new challenge – something we haven't encountered for some time. And based on the aforementioned spending plans, it may be with us for some time to come. Thank you as always, for your time. If you find Thoughts on the Market useful, let us know by leaving a review wherever you listen, and also tell a friend or colleague about us today.

21 Marras 20254min

2026 Global Outlook: Micro Themes Take the Spotlight

2026 Global Outlook: Micro Themes Take the Spotlight

Live from Morgan Stanley’s Asian Pacific Summit, our Chief Fixed Income Strategist Vishy Tirupattur explains why micro trends are likely to be more on focus than macro shocks next year.Read more insights from Morgan Stanley.----- Transcript -----Vishy Tirupattur: Welcome to Thoughts on the Market. I am Vishy Tirupattur, Morgan Stanley's Chief Fixed Income Strategist, coming to you from the Morgan Stanley Asia Pacific Summit underway in Singapore. Much of the client conversation at the summit was about the market outlook for 2026. In the last few days, you've heard from my colleagues about our outlook for the global economy, equities and cross asset markets. On today's podcast, I will focus on the outlook and key themes ahead for the global fixed income market. It's Thursday, November 20th at 10am in Singapore. Last year, the difficulty of predicting policy really complicated our task. This year brings its own challenges. But what we see is micro trends driving the markets in ways that adapt to a generally positive stance on risk. Our economists’ base case sees continued disinflation and growth converging towards potential by 2027, with the possibility that the potential itself improves. Notably, they present upside scenarios exploring stronger demand and rising productivity, while the downside case remains relatively benign. The U.S. remains pivotal, and the U.S. led shocks – positive and negative – should drive outcomes for the global economy and markets in 2026, In 2025, the combination of a resilient U.S. consumer supported by healthy balance sheets and rising wealth alongside robust AI driven CapEx has underpinned growth and helped avoid recession despite the headwinds of trade policy. These same dynamics should continue to support the baseline outlook in 2026, even though the path will be likely uneven. The Fed faces a familiar conundrum softening labor markets versus solid spending. The baseline assumes cuts to neutral as unemployment rises, followed by a recovery in the second half. Outside the U.S., most economies trend towards potential growth and neutral policy rates by end of 2026, but the timing and the trajectory vary. And as in recent years, global outcomes will likely hinge on U.S.-led effects and their spillovers. Our macro strategists expect government bond yields to stay range bound, and it is really a story of two halves. A front-loaded rally as the Fed cuts 50 basis points, pushing 10-year yields lower by mid-year before drifting higher into the fourth quarter. Curve steepening remains our high conviction call, especially two tens curve. The dollar follows a similar arc, softening mid-year, and then rebounding into the year end. AI financing moves to the forefront putting credit markets in focus, a topic that has come up repeatedly in every single meeting I've had in Singapore so far. So, from unsecured to structured and securitized credit in both public markets and private markets, credit will likely play a central role in enabling the next wave of AI related investments. Our credit and securitized credit strategists see data center financing in 2026 dominated by investment grade issuance. While fundamentals in corporate and securitized credit remain solid, the very scale of issuance ahead points to spread widening investment grade and in data center related ABS. Carry remains a key driver for credit returns, but dispersion should rise. Segments relatively insulated from the AI related supply such as U.S. high yield, agency brokerage backed securities, non-agency CMBS and RMBS are poised to outperform. We favor agency MBS and senior securitized tranches over U.S. investment grade, especially as domestic bank demand for agency MBS returns post finalization of the Basel III. 2025 was a tough year to navigate, and while we are constructive on 2026, it won't be a walk in the park. The challenges ahead look different. Less about macro shocks, more about micro shifts and market nuance. More details in our outlooks published just a few days ago. Thanks for listening If you like the podcast, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

20 Marras 20254min

2026 U.S. Outlook: The Bull Market’s Underappreciated Narrative

2026 U.S. Outlook: The Bull Market’s Underappreciated Narrative

Our CIO and Chief U.S. Equity Strategist Mike Wilson explains why he continues to hold on to an out-of-consensus view of a growth positive 2026, despite near-term risks.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief U.S. Equity Strategist. Today I’ll discuss our outlook for 2026 that we published earlier this week. It’s Wednesday, Nov 19th at 6:30 am in New York. So, let’s get after it. 2026 is a continuation of the story we have been telling for the past year. Looking back to a year ago, our U.S. equity outlook was for a challenging first half, followed by a strong second half. At the time of publication, this was an out of consensus stance. Many expected a strong first half, as President Trump took office for his second term. And then a more challenging second half due to the return of inflation. We based our differentiated view on the notion that policy sequencing in the new Trump administration would intentionally be growth negative to start. We likened the strategy to a new CEO choosing to ‘kitchen sink’ the results in an effort to clear the decks for a new growth positive strategy. We thought that transition would come around mid-year. The U.S. economy had much less slack when President Trump took office the second time, compared to the first time he came into office. And this was the main reason we thought it was likely to be sequenced differently. Earnings revisions breadth and other cyclical indicators were also in a phase of deceleration at the end of 2024. In contrast, at the beginning of 2017—when we were out of consensus bullish—earnings revisions breadth and many cyclical gauges were starting to reaccelerate after the manufacturing and commodity downturn of 2015/2016. Looking back on this year, this cadence of policy sequencing did broadly play out—it just happened faster and more dramatically than we expected. Our views on the policy front still appear to be out of consensus. Many industry watchers are questioning whether policies enacted this year will ultimately lead to better growth going forward, especially for the average stock. From our perspective, the policy choices being made are growth positive for 2026 and are largely in line with our ‘run it hot’ thesis. There’s another factor embedded in our more constructive take. April marked the end of a rolling recession that began three years prior. The final stages were a recession in government thanks to DOGE, a rate of change trough in expectations around AI CapEx growth and trade policy, and a recession in consumer services that is still ongoing. In short, we believe a new bull market and rolling recovery began in April which means it’s still early days, and not obvious—especially for many lagging parts of the economy and market. That is the opportunity. The missing ingredient for the typical broadening in stock performance that happens in a new business cycle is rate cuts. Normally, the Fed would have cut rates more in this type of weakening labor market. But due to the imbalances and distortions of the COVID cycle, we think the Fed is later than normal in easing policy, and that has held back the full rotation toward early cycle winners. Ironically, the government shutdown has weakened the economy further, but has also delayed Fed action due to the lack of labor data releases. This is a near-term risk to our bullish 12-month forecasts should delays in the data continue, or lagging labor releases do not corroborate the recent weakness in non-govt-related jobs data. In our view, this type of labor market weakness coupled with the administration's desire to ‘run it hot’ means that, ultimately, the Fed is likely to deliver more dovish policy than the market currently expects. It's really just a question of timing. But that is a near-term risk for equity markets and why many stocks have been weaker recently. In short, we believe a new bull market began in April with the end of a rolling recession and bear market. Remember the S&P [500] was down 20 percent and the average S&P stock was down more than 30 percent into April. This narrative remains underappreciated, and we think there is significant upside in earnings over the next year as the recovery broadens and operating leverage returns with better volumes and pricing in many parts of the economy. Our forecasts reflect this upside to earnings which is another reason why many stocks are not as expensive as they appear despite our acknowledgement that some areas of the market may appear somewhat frothy. For the S&P 500, our 12-month target is now 7800 which assumes 17 percent earnings growth next year and a very modest contraction in valuation from today’s levels. Our favorite sectors include Financials, Industrials, and Healthcare. We are also upgrading Consumer Discretionary to overweight and prefer Goods over Services for the first time since 2021. Another relative trade we like is Software over Semiconductors given the extreme relative underperformance of that pair and positioning at this point. Finally, we like small caps over large for the first time since March 2021, as the early cycle broadening in earnings combined with a more accommodative Fed provides the backdrop we have been patiently waiting for. We hope you enjoy our detailed report published earlier this week and find it helpful as you navigate a changing marketplace on many levels. Thanks for tuning in. Let us know what you think by leaving us a review. And if you find Thoughts on the Market worthwhile, tell a friend or colleague to try it out!

19 Marras 20255min

2026 Global Outlook: A Strong Year for Risk Assets

2026 Global Outlook: A Strong Year for Risk Assets

Our Chief Global Economist Seth Carpenter and Global Cross-Asset Strategist Serena Tang return to conclude their two-part episode on 2026 outlooks and explain why the market environment is turning in favor of risk assets, especially U.S. stocks.Read more insights from Morgan Stanley.----- Transcript -----Seth Carpenter: Welcome to Thoughts in the Market. I'm Seth Carpenter, Morgan Stanley's Global Chief Economist.Serena Tang: And I'm Serena Tang, Morgan Stanley's Chief Global Cross-Asset Strategist.Seth Carpenter: Yesterday, Serena, we discussed our views on the global economy, and today I'm going to turn the tables on you and start asking you questions about our market outlook and how to invest across regions and across asset classes.It's Tuesday, November 18th at 10am in New York.Alright, Serena in 2025, global markets rode some significant volatility driven by tariffs, policy uncertainty. Things went up, they went down. Equities ultimately outperformed bonds as rate cuts began. But cross-asset strategy depended so much on identifying correlations, opportunities – all in a world that is still adapting to the new geopolitical dynamics and what seemed like evolving rules.So, with that backdrop, could you just broadly tell us what the investment strategy should be in 2026?Serena Tang: We think 2026 will be a strong year for risk assets as you have unusually pro-cyclical policy mix that's supportive of earnings. And that frees up markets to shift the focus from global macro concerns, which of course have dominated this year, to more micro asset specific narratives. Particularly those related to AI CapEx investment.And I think such a constructive environment really calls for a risk on tilt. We recommend equities over credit and government bonds, with a preference for U.S. assets.Seth Carpenter: Okay. I think last year we had some preference, at least for U.S. equities. Are there any other big rotations versus more of the same that you really want to highlight for folks?Serena Tang: In terms of, I think the strategy outlook itself, a big shift has been what we think drive investor focus the most. Our strategy mid-year outlook had focused heavily on global macro risks, right? Especially those, I think, emanated from trade tensions, which you alluded to earlier.I think this time around as the distribution of outcomes on tariffs, I think, has become a bit narrower, it's very much more about asset specific stories. And yes, you know, to your point about being, bullish on U.S. equities, we've maintained that view this time round and believe that U.S. equities can generally do better than rest of world.As you know, Mike Wilson, a colleague and chief U.S. equity strategist, he has a price target of 7800 for the S&P 500 index …Seth Carpenter: Wow.Serena Tang: Beating the expected returns from other regional equities by like quite a bit. So that's not changed. But I think that with this backdrop of post cyclical policy combo lifting U.S. earnings, we've also turned more bullish on high-yield corporate credit – that is bonds which are riskier.I think very much like U.S. equities, we believe that the asset class can benefit from the combination of monetary deregulation policy. But there's also like a very interesting technical component there, which is, as we expect, a surge in investment grade issuance to fund AI related CapEx. I think the high-yield market will be more insulated from this, which means outperformance versus higher quality corporate bonds.Seth Carpenter: Got it. Okay. So, as you're coming up with these strategies and these recommendations in lots of ways, it just relies on forecasting. And I have to say I'm sympathetic to how hard forecasting is, especially when it comes to the future. In our economic forecast, we also included a bunch of different alternate scenarios because I just see that much uncertainty in the global economy.So, with that as a backdrop, nothing is for sure. But where would you say your highest conviction calls are when it comes to investing in 2026?Serena Tang: Well, as I mentioned, we like U.S. equities and that remains a very high conviction call for us. [I] sort of dug through the details of that already. And so, I want to turn to a[n]other high conviction view, which is curve steepening. We see pretty material U.S. treasury curve steepening over the next year. I think even as a macro strategist, actually expect yields at least in the backend to be mostly range bound. And this steepening will be very much driven by what happens in the two-year point – I think as markets continue to, we think, underpriced, future Fed easing and growth slow down tail risks.Seth Carpenter: So that's super helpful in terms of the places where you're convicted. Let me be perhaps a little bit unfair because nothing is in fact certain. And so, if there are things that we feel pretty sure about, there've got to be things where we're either not sure or parts of the market that really pose the most risk.So, if I asked you then, where do you see the biggest risk for investors in markets next year, what would you say?Serena Tang: So, one of them really is AI investment cycle abruptly ending. And this has been a topic of huge debate in all of the investor meetings that we've had over the last several weeks. Because the idea is you have a sharp pullback in investment in the next 12 months, which could trigger a pretty cascading effect. And of course that would likely pressure U.S. equities, I think given hyperscalers index weight. But could weirdly enough benefit IG credit by reducing issuance, which has been the main driver of wider spreads in our forecast. But I think the other risk here actually is if animal spirits run a bit too hot. Underlying our equities over credit over rates allocation is some revival in animal spirits, but it's not the kind of irrational exuberance that marks the end of cycle in our view.Given, I think there's still rational belief in that policy triumvirate that we touched on earlier, that can still be supportive of risk. But you know, I think if sentiment does overheat then our allocation tilt towards cyclicals and beta would be wrong. And historically late cycle expansions see investment grade outperforming high yield inequities, with bonds eventually leading returns.The last risk, I think, to our asset allocation, is really the Fed. Either the FOMC not easing further over the next 12 months or if it changes its reaction function. And I think both of those will have very different implications of what happens to the front end of the yield curve. So, my question to you, Seth, is what do you see as the probability around both of those scenarios?Seth Carpenter: Look, with the data that we have before the government shut down, it was clear there was a tension. Spending by households, spending by businesses was strong. Employment data were getting weaker and weaker, and the Fed has decided to start cutting to err on the side of insulating against further deterioration in the labor market.So, one thing that could upend our forecast is that the real signal is from the spending. Spending stays strong, the labor market eventually catches up to the stronger spending, and we start to see job gains come back. If that happens, especially with inflation now running notably above the Fed's target, I just don't really think we're going to get anywhere near the number of rate cuts that we forecast or that are already priced into market. So, you'd have to see a reversal.How likely is that you can't rule it out? I'd say 20 percent or something like that. Maybe a little bit more. On the other hand, to the downside. I wonder if what you're getting at a little bit is there's going to be some turnover in the personnel at the Fed. And do we have to worry about a fundamentally different reaction function from the Fed going forward and cutting rates aggressively, even if the macro considerations don't warrant? Is that really what you were getting at?Serena Tang: Yes. I think that has been the question on the forefront of investors' minds…Seth Carpenter: Yeah, I think that's a real question. The way I look at it is Chair Powell is in charge of the Fed now. His term goes through May of next year. And so, until we get to the middle of next year, I don't really think there's any fundamental change in how the Fed does business. But it really does seem like we're going to have a new Fed chair in June of next year. But even there, we have got to remember that the committee is a committee and that's how policy is decided. And so, if there was a new chair who really, really, really wanted to take policy in a truly unorthodox way, I also don't think that's really feasible over the second half of next year – because there just won't have been that much turnover in terms of the personnel of the Fed. That's how we're looking at it for now. I really don't think that latter version of the world is a big risk. That said, I'm going to throw it back to you [be]cause I always have to get the last word.You talked about asset classes, bullish on U.S. equities. We talked about high yield bonds; we talked about some of the risks that markets have to face. But one thing I didn't hear – and we do have a global investor base – Is about currencies and specifically the dollar.So, this time last year, the team made a pretty bold call that the dollar would depreciate a great deal. And here we are and the dollar has come off a lot on net over this year. That stabilized a little bit. Maybe not for the whole year [be]cause that kind of forecasting is hard for currencies. But what do you see over the next few months called the next half year for the dollar? Is it going to continue the trend or do you think we should see a reversal?Serena Tang: So, we do think the dollar will continue its trend downwards from here to the middle of next year. And I know, I know. There's been a lot of discussion, there's been a lot of debate around whether the dollar has basically stopped where we are. But the thing is, you know, going back to what you mentioned around the path for growth in the U.S. and unemployment in the U.S. – if we do see softer economic data in the first half of next year, that can drive the dollar downwards. In fact, we're once again, more bearish than consensus on the dollar by the middle of next year.Seth Carpenter: Got it. All right. That's super helpful. Serena, thank you so much for taking the time to talk with me today and let me ask the questions of you.Serena Tang: Always a pleasure, Seth.Seth Carpenter: And thank you 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 a colleague today.

18 Marras 202510min

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