U.S. Tech: The Future of Artificial Intelligence

U.S. Tech: The Future of Artificial Intelligence

As the advancement of generative AI takes off, how might this inflection point in technology impact markets, companies, and investors alike? Equity Analyst and Head of U.S. Internet Research Brian Nowak and Head of the U.S. Software Research Team Keith Weiss discuss.


----- Transcript -----


Brian Nowak: Welcome to Thoughts on the Market. I'm Brian Nowak, Equity Analyst and Head of U.S. Internet Research for Morgan Stanley.


Keith Weiss: And I'm Keith Weiss, Head of the U.S. Software Research Team.


Brian Nowak: Today, we're at Morgan Stanley's annual Tech, Media, and Telecom conference in downtown San Francisco. We've been here most of the week talking with industry leaders and emerging companies across the spectrum, and the topic on everyone's mind is clearly A.I. So today, we're going to share some of what we're hearing and our views on the rise of artificial intelligence tools. It's Thursday, March 9th at 2 p.m. here on the West Coast.


Brian Nowak: All week, Keith and I have been meeting with companies and speaking with new companies that are developing technologies in artificial intelligence. We've written research about how we think that artificial intelligence is reaching somewhat of an iPhone inflection moment with new people using new tools, and businesses starting to realize artificial intelligence is here to stay and can drive real change. Keith, talk to us about how we reached this moment of inflection and how do you think about some of the big picture changes across technology?


Keith Weiss: Well, thank you for having me, Brian. So we've been talking about artificial intelligence for some time now. Software companies have been infusing their solutions with machine learning driven type algorithms that optimize outcomes for quite some time. But I do think the iPhone analogy is apt, for two reasons. One, what we're talking about today with generative AI is more foundational technologies. You can almost think about that as the operating system on the mobile phone like the iOS operating system. And what we've heard all week long is companies are really seeing opportunity to create new apps on top of that operating system, new use cases for this generative AI. The other reason why this is such an apt analogy is, like the iPhone, this is really capturing the imagination of not just technology executives, not just investors like you and I, but everyday people. This is something that our kids are coming home from high school and saying, "Hey, dad, look at what I'm able to do or with chatGPT, isn't this incredible?" So you have that marketing moment of everybody realizes that this new capability, this new powerful technology is really available to everybody.


Keith Weiss: So, Brian, what do you think are going to be the impacts of this technology on the consumer internet companies that you cover?


Brian Nowak: We expect significant change. There is approximately $6 trillion of U.S. consumer expenditure that we think is going to be addressed by change. We see changes across search. We see more personalized search, more complete search. We see increasing uses of chatbots that can drive more accurate, personalized and complete answers in a faster manner across all types of categories. Think about improved e-commerce search helping you find products you would like to buy faster. Think about travel itinerary AI chatbots that create entire travel itineraries for your family. We see the capability for social media to change, better rank ordering and algorithms that determine what paid and organic content to show people at each moment. We see new creator tools, generative AI is going to enable people to make not only static images but more video based images across the entire economy. So people will be able to express themselves in more ways across social media, which will drive more engagement and ultimately more monetization for those social media platforms. We see e-commerce companies being able to better match inventory to people. Long tail inventory that previously perhaps could not find the right person or the right potential buyer will now better be able to be matched to buyers and to wallets. We see the shared economy across rideshare and food delivery also benefiting from this. Again, you're going to have more information to better match drivers to potential riders, restaurants to potential eaters. And down the line we go where we ultimately see artificial intelligence leading to an acceleration in digitization of consumers time, digitization of consumers wallets and all of that was going to bring more dollars online to the consumer internet companies.


Brian Nowak: Now that's the consumer side, how do you think about artificial intelligence impacting enterprise in the B2B side?


Keith Weiss: Yeah, I think there's a lot of commonalities into what you went through. On one level you talked about search, and what these generative AI technologies are able to do is put the questions that we're asking in context, and that enables a much better search functionality. And it's not just searching the Internet. Think about the searches that you do of your email inbox, and they're not very effective today and it's going to become a lot more effective. But that search can now extend across all the information within your organization that can be pretty powerful. When you talk about the generative capabilities in terms of writing content, we write content all day long, whether it's in emails, whether it's in text messages, and that can be automated and made more efficient and more effective. But also, the Excel formulas that we write in our Excel sheets, the reports that you and I write every day could be really augmented by this generative AI capability. And then there's a whole nother kind of class of capabilities that come in doing jobs better. So if we think about how this changes the landscape for software developers, one of the initial use cases we've seen of generative AI is making software developers much more productive by the models handling a lot of the rote software development, doing the easy stuff. So that software developer could focus his time on the hard problems to be solved in overall software development. So if you think about it holistically, what we've seen in technology trends really over the last two decades, we've seen the cost of computing coming way down, stuff like Public Cloud and the Hyperscalers have taken that compute cost down and that curve continues to come down. The cost of data is coming down, it's more accessible, there's more out of it because we've digitized so much of the economy. And then thirdly, now you're going to see the cost of software development come down as the software developers become more productive and the AI is doing more of that development. So those are all of your input cost in terms of what you do to automate business processes. And at the same time, the capabilities of the software is expanding. Fundamentally, that's what this AI is doing, is expanding the classes and types of work that can be automated with software. So if your input costs are coming way down and your capabilities are coming up, I think the amount of software that's being developed and where it's applied is really going to inflate a lot. It's going to accelerate and you're going to see an explosion of software development. I'm as bullish about the software industry right now as I've been over the past 20 years.


Keith Weiss: So one of the things that investors ask me a lot about is the cost side of the equation. These new capabilities are a lot more compute intensive, and is this going to impact the gross margins and the operating margins of the companies that need to deploy this. So, how do you think about that part of the equation, Brian?


Brian Nowak: There's likely to be some near-term impact, but we think the impacts are near-term in nature. It is true that the compute intensity and the capital intensity of a lot of these new models is higher than some of the current models that we're using across tech. The compute intensity of the large language models is higher than it is for search, it is higher than it is for a lot of the existing e-commerce or social media platforms that are used. So as we do think that the companies are going to need to invest more in capital expenditure, more in GPUs, which are some of the chips that enable a lot of these new large language models and capabilities to come. But these are more near-term cost headwinds because over the long term, as the companies work with the models, tune the models and train the models, we would expect these leading tech companies to put their efficiency teams in place and actually find ways to optimize the models to get the costs down over time. And when you layer that in with the new revenue opportunities, whether we're talking about incremental search revenue dollars, incremental e-commerce transactions, incremental B2B, SAS like revenue streams from some companies that will be paying more for these services that you spoke about, we think the ROI is going to be positive. So while there is going to likely be some near-term cost pressure across the space, we think it's near-term and to your point, this is a very exciting time within tech because these new capabilities are going to just expand the runway for top line growth for a lot of the companies across the space.


Brian Nowak: And this is all very exciting on the consumer side and the business side, but Keith talk to us about sort of some of the uncertainties and sort of some of the factors that need to be ironed out as we continue to push more AI tools across the economy.


Keith Weiss: Yeah, there's definitely uncertainties and definitely a risk out there when it comes to these technologies. So if we think about some of the broader risks that we see, these models are trained on the internet. So you have to think about all the data that's out there. Some of that data is good, some of that data is bad, some of that data could introduce biases into the search engines. And then the people using these search engines that are imbued with the AI, depending on how hard they're pushing on the search engines on the prompts, and that's the questions that they're asking the search engines, you could elicit some really strange behavior. And some of that behavior has elicited fears and scared some people, frankly, by what these search engines are bringing back to them. But there's also business model risk. From a software perspective, this is going to be the new user interface of how individual users access software functionality. If you're a software company that's not integrating this soon enough, you're going to be at a real disadvantage. So there's business has to be taken into account. And then there's broader economic risk. We're talking about all the capabilities that this generative AI can now do that these models can now take over. So for the software developer, does this mean there's job risk for software developers? For creative professionals who used to come up with the content on their own, does this mean less jobs for creative professionals? Or you and I? Are these models going to start writing our research reports on a go forward basis? So those are all kind of potential risks that we're thinking about on a go forward basis.


Keith Weiss: So, Brian, maybe to wrap up, how do you think about the milestones and sort of the key indicators that you're keeping an eye on for who are going to be the winners and losers as this AI technology pervades everything more fully?


Brian Nowak: It's a great question. I would break it into a couple different answers. First, because of the high compute intensity and costs of a lot of these models, we only see a handful of large tech companies likely being able to build these large language models and train them and fully deploy them. So the first thing I would say is look for new large language model applications from big tech being integrated into search, being integrated into e-commerce platforms, being integrated into social media platforms, being integrated into online video platforms. Watch for new large language tools to roll across all of big tech. Secondly, pay attention to your app stores because we expect developers to build a lot of new applications for both businesses and consumers using these large language models. And that is what we think is ultimately going to lead to a lot of these consumer behavior changes and spur a lot of the productivity that you talked about on the business side.


Keith Weiss: Outstanding.


Brian Nowak: Keith, thanks for taking the time.


Keith Weiss: Great speaking with you, Brian.


Brian Nowak: As a reminder, 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 to find the show.

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AI Sparks New Economics for Electricity

AI Sparks New Economics for Electricity

Our South Asia Energy Analyst Mayank Maheshwari discusses how the unprecedented demand to power AI is set to transform the power industry for years to come.Read more insights from Morgan Stanley.----- Transcript -----Mayank Maheshwari: Welcome to Thoughts on the Market. I’m Mayank Maheshwari, Morgan Stanley’s South Asia Energy Analyst. Today: how AI and electrification are rewriting the rules of global power. It’s Tuesday, December 2nd at 9 pm in Singapore. If you’ve noticed your electricity bills are climbing and headlines are buzzing with talk of AI, you’re not alone. The way we use – and need – power is changing fast, and it’s impacting everyone from homeowners to major tech companies. Global power consumption is surging at the fastest pace in over a decade. Annual demand is set to rise by more than one trillion kilowatt-hours every year through 2030, with AI-driven data centers contributing nearly a fifth of that growth. We estimate about [U.S.]$3 trillion investments in datacenters by 2028, with power consumption growth of nearly about 126GW in these three years till [20]28. This is almost as large as Canada’s total [annual] power consumption. And in this context, power prices are set to further rise. In 2024 – the latest full-year data available – global power sector investments hit a new high of $1.5 trillion, and consumer power prices have risen by about 15 percent. By 2030, U.S. power markets will account for half of the global data center power consumption. And Asia will also see about a 15 percent spillover of that U.S. hyperscaler demand, which will be also part of why some of the power markets in Asia will get a lot tighter. As power consumption rises, the difference between the price at which electricity is sold and the cost to generate it – also known as power spreads – are likely to rise by nearly 15 percent. This expansion in profit margins could lead to higher earnings forecasts for power generation companies and create $350 billion in value creation through the entire power supply chain. At the same time, years of under-investments in electric grids have led to bottlenecks, sparking a wave of new spending and pushing the industry to rely more on natural gas and energy storage and other new technologies – while also supporting that option of renewable power. In 2024, gas investments hit record highs, and starting in 2026 gas is set to become a new truly global source of new power generation. Looking ahead, natural gas is expected to meet about a fifth of [the] world’s new power needs, excluding China. And nuclear energy is well positioned for increased investments; while batteries – which is energy storage – is also getting to get a new set in terms of new investments across datacenters and in markets like China . Moving forward, the power industry faces a multi-decade transformation, marked by unexpected shifts and opportunities. We’ll see increased collaboration between fossil and non-fossil fuels, wider adoption of tiered pricing, and a surge in spot market and behind-the-meter sales all driving longer-lasting, elevated power spreads. Gas, nuclear, energy storage, and fuel cell supply chains – especially in Asia and the U.S. – stand to gain from stronger pricing power [and] new growth prospects, while grid operators benefit from higher investment and better returns. On the flip side, pure solar and wind producers may continue to see rising costs in Asia, something we have already seen in [the] U.S. and Europe, as [the] global grid leans more on batteries and steady fossil fuel supplies to balance the requirements of the rising needs of power across the supply chains – in AI as well as domestic utilization of manufacturing. Ultimately, as AI and electrification supercharge power demand, the real challenge isn’t just adding renewables. It’s about building a resilient, flexible grid and navigating the new economics of energy. Thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

2 Dec 4min

Home Affordability Still Under Pressure

Home Affordability Still Under Pressure

Our Co-Heads of Securitized Product Research Jay Bacow and James Egan discuss the outlook for mortgage rates and the U.S. housing market in 2026.Read more insights from Morgan Stanley.----- Transcript -----Jay Bacow: Jim, why did the cranberry turn red? James Egan: Please enlighten me. Jay Bacow: Because it saw the turkey dressing. Jay Bacow: I hope everybody had a good Thanksgiving. Welcome to Thoughts on the Market. I'm Jay Bacow, Co-Head of Securitized Products Research at Morgan Stanley. James Egan: And I'm Jim Egan, the other Co-Head of Securitized Products Research at Morgan Stanley. Today we're here to talk about our views from mortgage rates in 2026 and how that flows through to our U.S. housing outlook.It's Monday, December 1st at 11:30am in New York.Now, Jay, as we all get over our turkey induced naps over the weekend, how are we thinking about mortgage rates evolving in 2026?Jay Bacow: Well, as you and I discussed previously on this podcast, the Fed cutting rates in and of itself doesn't actually cause the 30-year fixed rate mortgage to come down. However, our rate strategists’ forecast for lower rates in the front end should be helpful to where the primary rate ends up this year. And we would also expect some compression between primary mortgage rates and Treasury rates given our bullish outlook for the mortgage asset class. So, our expectation is that the 30-year fixed rate ends 2026 around 5.75 percent.James Egan: Alright, if we get to 5.75, maybe a little bit lower than that in the middle of next year, that's enough to send affordability into a healthier place. But that's a relative term. Affordability is still going to be under pressure, but it will have improved. And it will have improved at a pretty healthy amount from where we were in the fourth quarter of 2023, which was multi-decade levels of challenged.Jay Bacow: All right, Jim, so clearly the mortgage rate coming down does make homes more affordable, but is it enough to cause more homes to actually transact?James Egan: So, the answer is yes, but it's going to be a ‘Yes, but’ answer from that perspective. We do think that transaction volumes are going to increase. But to put into context where we sit from a housing market perspective – we already saw a healthy increase in affordability from the fourth quarter of [20]23 through the end of 2024, right? But if we put that affordability improvement in context, we've seen that about 10 times over the past 40 years. The only times where sales responded more tepidly than they just did in 2025 – were in 2009, the teeth of the Great Financial Crisis; and in 2020, when the market really slowed down in the immediate aftermath of COVID. The lock-in effect is still playing a very big role. We do think that this sustained marginal improvement and affordability will help purchase volumes. But this is not what's going to get us to kind of escape velocity. We're calling for about a 3 percent growth in purchase volumes next year. Jay Bacow: Alright. Now, you mentioned this a little bit already, but if there's less lock-in because the mortgage rate has come down, will more people be willing to list their homes for sale? Are we going to get more inventory on the market? James Egan: I think that's the other piece of how we're thinking about housing moving forward. Any improvement we get in affordability from lower mortgage rates is going to be paired with increasing inventory volumes. We've already seen that. Listed inventories are up roughly 30 percent from historic lows in 2023. They're still 20 percent worth below where they were in 2019. So, we're not talking about oversupply at this point. But that increase in listed inventories without a contemporaneous increase in demand is weighed on the pace of home price growth. We started this year at +4 percent nationally. We're below +1.5 percent. We think that any growth and demand will come coincident with the growth in listing volumes. That's going to keep home price appreciation under control. We're only calling for 2 percent growth in HPA next year, 3 percent out in 2027. But the high level thought here is that the housing market is well supported at these levels. Difficult to see big decreases in sales volumes or prices next year. But also going to be difficult to really achieve any more material growth in this low single digits we're calling for. But Jay, as you and I are talking about this outlook with market participants, one question that gets brought up frequently is what else can the administration do, especially on the affordability side, to help with instigating more housing activity. Jay Bacow: In order to really help affordability, given the challenges that you've discussed around the supply and demand issues; then the other aspect of that is just what is the mortgage rate? And if they were to do things that would cause the mortgage rate to come down, that would be helpful. Now, the Fed already has made an announcement that they're going to continue mortgage runoff from their balance sheet. If they ended mortgage runoff, that would've helped. But that window seems to have passed. There's been some discussion from the administration around new types of programs. In particular, there was a lot of headlines around a 50-year program. A 50-year amortization schedule would likely result in a material drop in the monthly payment that the homeowner would make – which would help. However, the total interest payments for that homeowner, depending on exactly where this hypothetical 50-year mortgage rate would price, are probably about double over the life of the loan relative to a 30-year fixed rate mortgage. So, we're not really sure that this product would see a huge amount of upkeep. There's also some technical challenges around whether it meets the definition of a qualified mortgage and some other in the weeds discussions. James Egan: What about all the discussion we're hearing around assumability of mortgages, portability of mortgages? Is there anything there? Jay Bacow: Based on our understanding of contract law, which I have to confess is limited as I am not a lawyer, we don't think you can retroactively make mortgages portable or assumable that were not already portable or assumable. So, you can make new mortgages portable and assumable. Portable as a reminder means that if you have a mortgage, you take it with you to your new house, and assumable means that the mortgage stays with the house. If you sell it to somebody else, they get that mortgage. But realistically, we think this would have to be a new product. And because it would be a new product with new benefits to the homeowner, it would actually probably cause their mortgage rate to be higher, not lower. James Egan: I guess one last question. We're talking about affordability and we're addressing it through interest rates being lower, we’re addressing it through the potential for new products to be put out there, even if there are some challenges around that piece of it. But what about just demand for mortgages themselves? You said the Fed might not be a buyer going forward, but are there other pockets of demand for mortgages that could help bring down mortgage rates? Jay Bacow: Sure. So, we expect the GSEs to grow their portfolio next year, that would certainly be helpful. On the margin, we expect them to buy about a little less than a third of the net issuance that comes to the market. We also think that domestic banks could come back to the market and they could help bring the mortgage rates lower. But these changes are going to help mortgage rates by, in the context of maybe an eighth of a point to a quarter of a point at most. It's not a panacea, unfortunately. James Egan: Alright. So, we expect a little bit of an improvement in mortgage rates, a little bit of affordability improvement next year. That should lead to growth in purchase volumes, and I think it will lead to a little bit of growth in home prices. But the housing market is well supported range bound here. Jay Bacow: Jim, pleasure talking to you. And to all our regular listeners, thank you for adding Thoughts on the Market to your playlist. James Egan: Let us know what you think wherever you get this podcast and share Thoughts on the Market with a friend or colleague today.Jay Bacow: And as my kids would say, go smash that subscribe button.

1 Dec 8min

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 Nov 5min

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 Nov 3min

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 Nov 6min

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 Nov 4min

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 Nov 4min

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 Nov 4min

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