Europe in the Global AI Race

Europe in the Global AI Race

Live from Morgan Stanley’s European Tech, Media and Telecom conference in Barcelona, our roundtable of analysts discuss artificial intelligence in Europe, and how the region could enable the Agentic AI wave.

Read more insights from Morgan Stanley.


----- Transcript -----


Paul Walsh: Welcome to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's European head of research product. We are bringing you a special episode today live from Morgan Stanley's, 25th European TMT Conference, currently underway.

The central theme we're focused on: Can Europe keep up from a technology development perspective?

It's Wednesday, November the 12th at 8:00 AM in Barcelona.

Earlier this morning I was live on stage with my colleagues, Adam Wood, Head of European Technology and Payments, Emmet Kelly, Head of European Telco and Data Centers, and Lee Simpson, Head of European Technology Hardware. The larger context of our conversation was tech diffusion, one of our four key themes that we've identified at Morgan Stanley Research for 2025.

For the panel, we wanted to focus further on agentic AI in Europe, AI disruption as well as adoption, and data centers. We started off with my question to Adam. I asked him to frame our conversation around how Europe is enabling the Agentic AI wave.

Adam Wood: I mean, I think obviously the debate around GenAI, and particularly enterprise software, my space has changed quite a lot over the last three to four months. Maybe it's good if we do go back a little bit to the period before that – when everything was more positive in the world. And I think it is important to think about, you know, why we were excited, before we started to debate the outcomes.

And the reason we were excited was we've obviously done a lot of work with enterprise software to automate business processes. That's what; that's ultimately what software is about. It's about automating and standardizing business processes. They can be done more efficiently and more repeatably. We'd done work in the past on RPA vendors who tried to take the automation further. And we were getting numbers that, you know, 30 – 40 percent of enterprise processes have been automated in this way. But I think the feeling was it was still the minority. And the reason for that was it was quite difficult with traditional coding techniques to go a lot further. You know, if you take the call center as a classic example, it's very difficult to code what every response is going to be to human interaction with a call center worker. It's practically impossible.

And so, you know, what we did for a long time was more – where we got into those situations where it was difficult to code every outcome, we'd leave it with labor. And we'd do the labor arbitrage often, where we'd move from onshore workers to offshore workers, but we'd still leave it as a relatively manual process with human intervention in it.

I think the really exciting thing about GenAI is it completely transforms that equation because if the computers can understand natural human language, again to our call center example, we can train the models on every call center interaction. And then first of all, we can help the call center worker predict what the responses are going to be to incoming queries. And then maybe over time we can even automate that role.

I think it goes a lot further than, you know, call center workers. We can go into finance where a lot of work is still either manual data re-entry or a remediation of errors. And again, we can automate a lot more of those tasks. That's obviously where, where SAP's involved. But basically what I'm trying to say is if we expand massively the capabilities of what software can automate, surely that has to be good for the software sector that has to expand the addressable markets of what software companies are going to be able to do.

Now we can have a secondary debate around: Is it going to be the incumbents, is it going to be corporates that do more themselves? Is it going to be new entrants that that benefit from this? But I think it's very hard to argue that if you expand dramatically the capabilities of what software can do, you don't get a benefit from that in the sector.

Now we're a little bit more consumer today in terms of spending, and the enterprises are lagging a little bit. But I think for us, that's just a question of timing. And we think we'll see that come through.

I'll leave it there. But I think there's lots of opportunities in software. We're probably yet to see them come through in numbers, but that shouldn't mean we get, you know, kind of, we don't think they're going to happen.

Paul Walsh: Yeah. We’re going to talk separately about AI disruption as we go through this morning's discussion. But what's the pushback you get, Adam, to this notion of, you know, the addressable market expanding?

Adam Wood: It's one of a number of things. It's that… And we get onto the kind of the multiple bear cases that come up on enterprise software. It would be some combination of, well, if coding becomes dramatically cheaper and we can set up, you know, user interfaces on the fly in the morning, that can query data sets; and we can access those data sets almost in an automated way. Well, maybe companies just do this themselves and we move from a world where we've been outsourcing software to third party software vendors; we do more of it in-house. That would be one.

The other one would be the barriers to entry of software have just come down dramatically. It's so much easier to write the code, to build a software company and to get out into the market. That it's going to be new entrants that challenge the incumbents. And that will just bring price pressure on the whole market and bring… So, although what we automate gets bigger, the price we charge to do it comes down.

The third one would be the seat-based pricing issue that a lot of software vendors to date have expressed the value they deliver to customers through. How many seats of the software you have in house.

Well, if we take out 10 – 20 percent of your HR department because we make them 10, 20, 30 percent more efficient. Does that mean we pay the software vendor 10, 20, 30 percent less? And so again, we're delivering more value, we're automating more and making companies more efficient. But the value doesn't accrue to the software vendors. It's some combination of those themes I think that people would worry about.

Paul Walsh: And Lee, let’s bring you into the conversation here as well, because around this theme of enabling the agentic AI way, we sort of identified three main enabler sectors. Obviously, Adam’s with the software side. Cap goods being the other one that we mentioned in the work that we've done. But obviously semis is also an important piece of this puzzle. Walk us through your thoughts, please.

Lee Simpson: Sure. I think from a sort of a hardware perspective, and really we're talking about semiconductors here and possibly even just the equipment guys, specifically – when seeing things through a European lens. It's been a bonanza. We've seen quite a big build out obviously for GPUs. We've seen incredible new server architectures going into the cloud. And now we're at the point where we're changing things a little bit. Does the power architecture need to be changed? Does the nature of the compute need to change? And with that, the development and the supply needs to move with that as well.

So, we're now seeing the mantle being picked up by the AI guys at the very leading edge of logic. So, someone has to put the equipment in the ground, and the equipment guys are being leaned into. And you're starting to see that change in the order book now.

Now, I labor this point largely because, you know, we'd been seen as laggards frankly in the last couple of years. It'd been a U.S. story, a GPU heavy story. But I think for us now we're starting to see a flipping of that and it's like, hold on, these are beneficiaries. And I really think it's 'cause that bow wave has changed in logic.

Paul Walsh: And Lee, you talked there in your opening remarks about the extent to which obviously the focus has been predominantly on the U.S. ways to play, which is totally understandable for global investors. And obviously this has been an extraordinary year of ups and downs as it relates to the tech space.

What's your sense in terms of what you are getting back from clients? Is the focus shifts may be from some of those U.S. ways to play to Europe? Are you sensing that shift taking place? How are clients interacting with you as it relates to the focus between the opportunities in the U.S. and Asia, frankly, versus Europe?

Lee Simpson: Yeah. I mean, Europe's coming more into debate. It's more; people are willing to talk to some of the players. We've got other players in the analog space playing into that as well. But I think for me, if we take a step back and keep this at the global level, there's a huge debate now around what is the size of build out that we need for AI?

What is the nature of the compute? What is the power pool? What is the power budgets going to look like in data centers? And Emmet will talk to that as well. So, all of that… Some of that argument’s coming now and centering on Europe. How do they play into this? But for me, most of what we're finding people debate about – is a 20-25 gigawatt year feasible for [20]27? Is a 30-35 gigawatt for [20]28 feasible? And so, I think that's the debate line at this point – not so much as Europe in the debate. It's more what is that global pool going to look like?

Paul Walsh: Yeah. This whole infrastructure rollout's got significant implications for your coverage universe…

Lee Simpson: It does. Yeah.

Paul Walsh: Emmet, it may be a bit tangential for the telco space, but was there anything you wanted to add there as it relates to this sort of agentic wave piece from a telco's perspective?

Emmet Kelly: Yeah, there's a consensus view out there that telcos are not really that tuned into the AI wave at the moment – just from a stock market perspective. I think it's fair to say some telcos have been a source of funds for AI and we've seen that in a stock market context, especially in the U.S. telco space, versus U.S. tech over the last three to six months, has been a source of funds.

So, there are a lot of question marks about the telco exposure to AI. And I think the telcos have kind of struggled to put their case forward about how they can benefit from AI. They talked 18 months ago about using chatbots. They talked about smart networks, et cetera, but they haven't really advanced their case since then.

And we don't see telcos involved much in the data center space. And that's understandable because investing in data centers, as we've written, is extremely expensive. So, if I rewind the clock two years ago, a good size data center was 1 megawatt in size. And a year ago, that number was somewhere about 50 to 100 megawatts in size. And today a big data center is a gigawatt. Now if you want to roll out a 100 megawatt data center, which is a decent sized data center, but it's not huge – that will cost roughly 3 billion euros to roll out.

So, telcos, they've yet to really prove that they've got much positive exposure to AI.

Paul Walsh: That was an edited excerpt from my conversation with Adam, Emmet and Lee. Many thanks to them for taking the time out for that discussion and the live audience for hearing us out.

We will have a concluding episode tomorrow where we dig into tech disruption and data center investments. So please do come back for that very topical conversation.

As always, thanks for listening. Let us know what you think about this and other episodes by leaving us a review wherever you get your podcasts. And if you enjoy Thoughts on the Market, please tell a friend or colleague to tune in today.

Episoder(1509)

Navigating the Quality and Cap Curves

Navigating the Quality and Cap Curves

A later cycle economy and continued uncertainty means that investors should be remain wary of cyclicals such as small caps, explains Mike Wilson, our CIO and Chief US Equity Strategist.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief US Equity Strategist. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about slowing growth in the context of high valuations.It's Tuesday, July 30th at 3pm in New York.So, let’s get after it.Over the past few weeks, the equity markets have taken on a different complexion with the mega cap stocks lagging and lower quality small caps doing better. What does this mean for investor portfolios? And is the market telling us something about future fundamentals? In our view, we think most of this rotation is due to the de-grossing that is occurring within portfolios that are overweight large cap quality growth and underweight lower quality and smaller cap names.We have long been in the camp that large cap quality has been the place to be – for equity investors – as opposed to diving down the quality and cap curves. That continues to be the case; though we are watching the fundamental and technical backdrop for small caps closely, and we’re respectful of the pace of the recent move in the space.For now, however, we continue to think the better risk/reward is to stay up the quality curve and avoid the more cyclical parts in the market like small caps. Our rationale for such positioning is simple — in a later cycle economy where growth is softening or not translating into earnings growth for most companies, large cap quality outperforms. Exacerbating the many imbalances across the economy is a bloated fiscal budget deficit. In our view, there are diminishing returns to fiscal spending when it starts to crowd out private companies and consumers. As I have been discussing for the past year, this crowding out has contributed to the bifurcation of performance in both the economy and equity markets, while potentially keeping the Fed's Interest rate policy tighter than it would have been otherwise.While the macro data has been mixed, there is a growing debate around the actual strength of the labor market with the household survey painting a weaker picture than the non-farm payroll data which is based on employer surveys. The bottom line is that we are in a stable, but decelerating late cycle economy from a macro data standpoint. However, on the micro front, the data has not been as stable and is showing a more meaningful deterioration in growth; particularly as it relates to the consumer.More specifically, earnings revision breadth has broken down recently for many of the cyclical parts of the market. Financials has been a bright spot here but that may be short-lived if the consumer continues to weaken. We continue to favor quality but with a greater focus on defensive sectors like utilities, staples and REITs as opposed to growthier ones like technology. The issue with the growth stocks is valuations and the quality of the earnings for some of the mega cap tech stocks.The other variable weighing on stocks at the moment is valuations which remain in the top decile of the past 20 years. It’s worth noting that valuations are very sensitive to earnings revisions breadth. The last time revision breadth rolled over into negative territory was last fall. Between July and October 2023, the market multiple declined from 20x to 17x. Two weeks ago, this multiple was 22x and is now 21x. If earnings revisions continue to fade as we expect, it’s likely these valuations have further to fall. With our 12-month base case target multiple at 19x, the risk reward for equities broadly remains quite unfavorable at the moment.Thanks for listening. If you enjoy the podcast, leave us a review wherever you listen, and share Thoughts on the Market with a friend or colleague today.

30 Jul 20243min

The Coming Nuclear Power Renaissance

The Coming Nuclear Power Renaissance

Our sustainability strategists Stephen Byrd and Tim Chan discuss what’s driving new opportunities across the global nuclear power sector and some risks investors should keep in mind.----- Transcript -----Stephen Byrd: Welcome to Thoughts on the Market. I'm Steven Byrd, Morgan Stanley's Global Head of Sustainability Research.Tim Chan: And I'm Tim Chan, Asia Pacific Head of Sustainability Research.Stephen Byrd: And on this episode of the podcast, we'll discuss some significant developments in the nuclear power generation space with long term implications for global markets.It’s Monday, July 29th at 8am in New York.Tim Chan: And 8 pm in Hong Kong.Stephen Byrd: Nuclear power remains divisive, but it is making a comeback.So, Tim, let's set the scene here. What's really driving this resurgence of interest in nuclear power generation?Tim Chan: One key moment was the COP28 conference last year. Over 20 countries, including the US, Canada, and France, signed a joint declaration to triple nuclear capacity by 2050. Right now, the world has about 390 gigawatts of nuclear capacity providing 10 per cent of global electricity. It took 70 years to bring global nuclear capacity to 390 gigawatts. And now the COP28 target promises to build another 740 gigawatts in less than 30 years.And if this remarkable nuclear journey is going to be achieved, that will require financing and also shorter construction time.Stephen Byrd: So, Tim, how do you size the market opportunity on a global scale over the next five to ten years?Tim Chan: We estimate that nuclear renaissance will be worth $ 1.5 trillion (USD) through 2050, in the form of capital investment in new global nuclear capacity. And the growth globally will be led by China and the US. China will also lead in the investment in nuclear, followed by the US and the EU. In addition, this new capacity will need $128 billion (USD) annually to maintain.Stephen Byrd: Well, Tim, those are some gigantic numbers, $1.5 trillion (USD) and essentially a doubling of nuclear capacity by 2050. I want to dig into China a bit and if you could just speak to how big of a role China is going to play in this.Tim Chan: In China, by 2060, nuclear is likely to account for roughly 80 per cent of the total power generation, according to the China Nuclear Association. This figure represents half of the global nuclear capacity in similar stages, which amounts to 520 gigawatts.And Stephen, can you tell us more about the US?Stephen Byrd: Sure, during COP 28, the US joined a multinational declaration to triple nuclear power capacity by 2050. In this past year, the US has seen the completion of a new nuclear power plant in Georgia, which is the first new reactor built in the United States in over 30 years.Now, beyond this, we have not seen a strong pipeline in the US on large scale nuclear plants, according to the World Nuclear Association. And for the US to triple its nuclear capacity from about 100 gigawatts currently, the nation would need to build about 200 gigawatts more capacity to meet the target.In our nuclear renaissance scenario, we assume only 50 gigawatts will be built, considering a couple of factors. So, first, clean energy options, such as wind and solar are becoming more viable; they're dropping in cost. And also, for new nuclear in the United States, we've seen significant construction delays and cost overruns for the large-scale nuclear plants. Now that said, there is still upside if we're able to meet the target in the US.And I think that's going to depend heavily on the development of small modular reactors or SMRs. I am optimistic about SMRs in the longer term. They're modular, as the name says. They're easier to design, easier to construct, and easier to install. So, I do think we could see some upside surprises later this decade and into the next decade.Tim Chan: And nuclear offers a unique opportunity to power Generative AI, which is accounting for a growing share of energy needs.Stephen Byrd: So, Tim, I was wondering how long it was going to take before we began to talk about AI.Nuclear power generators do have a unique opportunity to provide power to data centers that are located on site, and those plants can provide consistent, uninterrupted power, potentially without external connections to the grid. In the US, we believe supercomputers, which are essentially extremely large data centers used primarily for GenAI training, will be built behind the fence at one or more nuclear power plants in the US. Now these supercomputers are absolutely massive. They could use the power, potentially, of multiple nuclear power plants.Now just let that sink in. These supercomputers could cost tens of billions of dollars, possibly even $100 billion plus. And they will bring to bear unprecedented compute power in developing future Large Language Models.So, Tim, where does regulation factor into the resurgence of nuclear power or the lack of resurgence?Tim Chan: So, for the regulation, we focus a lot on the framework to provide financing: subsidies, sustainable finance taxonomies and also from the bond investor; although we note that taxonomies are still developing to offer dedicated support to nuclear. We expect nuclear financing under green bonds will become increasingly common and accepted. However, exclusion on nuclear still exists.Stephen Byrd: So finally, Tim, what are some of the key risks and constraints for nuclear development?Tim Chan: I would highlight three risks. Construction time, shortage of labor, and uranium constraint. These remain the key risks for nuclear projects to bring value creation.US and Europe had high profile delay in the past, which led to massive cost overrun. We are also watching the impacts of shortage of skilled labor, which is more likely in the developed markets versus emerging markets. And the supply of enriched uranium, which is mainly dominated by Russia.Stephen Byrd: Well, that's interesting, Tim. There are clearly some risks that could derail or slow down this nuclear renaissance. Tim, thanks for taking the time to talk.Tim Chan: Great speaking with you, Stephen.Stephen Byrd: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.

29 Jul 20246min

Three Risks for the Third Quarter

Three Risks for the Third Quarter

Our head of Corporate Credit Research, Andrew Sheets, notes areas of uncertainty in the credit, equity and macro landscapes that are worth tracking as we move into the fall.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, head of Corporate Credit Research at Morgan Stanley. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about three risks we’re focused on for the third quarter.It's Friday, July 26th at 2pm in London.We like credit. But there are certainly risks we’re watching. I’d like to discuss three that are top of mind. The first is probably the mildest. Looking back over the last 35 years, August and September have historically been tougher months for riskier assets like stocks and corporate bonds. US High Yield bonds, for example, lose about 1 per cent relative to safer government bonds over August-September. That’s hardly a cataclysm, but it still represents the worst two-month stretch of any point of the year. And so all-else-equal, treading a little more cautiously in credit over the next two months has, from a seasonal perspective, made sense. The second risk is probably the most topical. Equity markets, especially US equity markets, are seeing major shifts in which stocks are doing well. Since July 8th, the Nasdaq 100, an index dominated by larger high-quality, often Technology companies, is down over 7 per cent. The Russell 2000, a different index representing smaller, often lower quality companies, is up over 11 per cent. So ask somebody – ‘How is the market?’ – and their answer is probably going to differ based on which market they’re currently in. This so-called rotation in what’s outperforming in the equity market is a risk, as Technology and large-cap equities have outperformed for more than a decade, meaning that they tend to be more widely held. But for credit, we think this risk is pretty modest. The weakness in these Large, Technology companies is having such a large impact because they make up so much of the market – roughly 40 per cent of the S&P 500 index. But those same sectors are only 6 per cent of the Investment grade credit market, which is weighted differently by the amount of debt somebody is issued. Meanwhile, Banks have been one of the best performing sectors of the stock market. And would you believe it? They are one of the largest sectors of credit, representing over 20 per cent of the US Investment Grade index. Put a slightly different way, when thinking about the Credit market, the average stock is going to map much more closely to what’s in our indices than, say, a market-weighted index. The third risk on our minds is the most serious: that economic data ends up being much weaker than we at Morgan Stanley expect. Yes, weaker data could lead the Fed and the ECB to make more interest rate cuts. But history suggests this is usually a bad bargain. When the Fed needs to cut a lot as growth weakens, it is often acting too late. And Credit consistently underperforms.We do worry that the Fed is a bit too confident that it will be able to see softness coming, given the lag that exists between when it cuts rates and the impact on the economy. We also think interest rates are probably higher than they need to be, given that inflation is rapidly falling toward the Fed’s target. But for now, the US Economy is holding up, growing at an impressive 2.8 per cent rate in the second quarter in data announced this week. Good data is good news for credit, in our view. Weaker data would make us worried. 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 Jul 20243min

Investors’ Questions After Election Shakeup

Investors’ Questions After Election Shakeup

Markets are contending with greater uncertainty around the US presidential election following President Biden’s withdrawal. Our Global Head of Fixed Income and Thematic Research breaks down what we know as the campaign enters a new phase.----- Transcript -----Welcome to Thoughts on the Market. I'm Michael Zezas, Morgan Stanley's Global Head of Fixed Income and Thematic Research. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about the latest development in the US presidential race.It's Thursday, July 25th at 2:30 pm in New York. Last weekend, when President Biden decided not to seek re-election, it begged some questions from investors. First, with a new candidate at the top of the ticket, are there new policy impacts, and potential market effects, resulting from Democrats winning that we haven’t previously considered? For the moment, we think the answer is no. Consider Vice President Harris. Her policy positions are similar to Biden’s on key issues of importance to markets. And even if they weren’t, the details of key legislative policies in a Democratic win scenario will likely be shaped by the party’s elected officials overall. So, our guidance for market impacts that investors should watch for in the event that Democrats win the White House is unchanged. Second, what does it mean for the state of the race? After all, markets in the past couple of weeks began anticipating a stronger possibility of Republican victory. It was visible in stronger performance in small cap stocks, which our equity strategy team credited to investors seeing greater benefits in that sector from more aggressive tax cuts under possible Republican governance. It was also visible in steeper yield curves, which could reflect both weaker growth prospects due to tariff risks, pushing shorter maturity yields lower, and greater long-term uncertainty on economic growth, inflation, and bond supply from higher US deficits – something that could push longer-maturity Treasury yields relatively higher. So, it's understandable that investors could question the durability of these market moves if the race appeared more competitive. But the honest answer here is that it's too early to know how the race has changed. As imperfect as they are, polls are still our best tool to gauge public sentiment. And there’s scant polling on Democratic candidates not named Biden. So, on the question of which candidate more likely enjoys sufficient voter support to win the election, it could be days or weeks before we have reliable information. That said, prediction markets are communicating that they expect the race to tighten – pricing President Trump’s probability of regaining the White House at about 60-65 per cent, down from a recent high of 75-80 per cent. So bottom line, a change in the Democratic ticket hasn’t changed the very real policy stakes in this election. We’ll keep you informed here of how it's impacting our outlook for markets. Thanks for listening. If you enjoy the podcast, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

25 Jul 20242min

How Asian Markets View US Elections

How Asian Markets View US Elections

Our Chief Asia Economist explains how the region’s economies and markets would be affected by higher tariffs, and other possible scenarios in the US elections.----- Transcript -----Welcome to Thoughts on the Market. I’m Chetan Ahya, Morgan Stanley’s Chief Asia Economist. Along with my colleagues bringing you a variety of perspectives, today I’ll discuss a question that’s drawing increasing attention – just how the U.S. presidential election would affect Asian economies and markets. It’s Wednesday, July 24th, at 8 PM in Hong Kong. As the US presidential race progresses, global markets are beginning to evaluate the possibility of a Trump win and maybe even a Republican sweep. Investors are wondering what this would mean for Asia in particular. We believe there are three channels through which the US election outcome will matter for Asia. First, financial conditions – how the US dollar and rates will move ahead of and after the US elections. Second, tariffs. And third, US growth outcomes, which will affect global growth and end demand for Asian exports. Well, out of the three our top concern is the growth downside from higher tariffs. The 2018 experience suggests that the direct effect of tariffs is not what plays the most dominant role in affecting the macro outcomes; but rather the transmission through corporate confidence, capital expenditure, global demand and financial conditions. Let’s consider two scenarios. First, in a potential Trump win with divided government, China would likely be more affected from tariffs than Asia ex China. We see potentially two outcomes in this scenario – one where the US imposes tariffs only on China, and another where it also imposes 10 percent tariffs on the rest of the world. In the case of 60 percent tariffs on imports from China, there would be meaningful adverse effect on Asia's growth and it will be deflationary. China would remain most exposed compared to the rest of the region, which has reduced its export exposure to China over time and could see a positive offset from diversification of the supply chain away from China. In the case where the US also imposes 10 percent tariffs on imports from the rest of the world, we expect a bigger downside for China and the region. We believe that in this instance – in addition to the direct effect of tariffs on exports – the growth downside will be amplified by significant negative impact on corporate confidence, capex and trade. Corporate confidence will see bigger damage in this instance as compared to the one where tariffs are imposed only on China as corporate sector will have to think about on-shoring rather than continuing with friend-shoring. In the second scenario, in a potential Trump win with Republican sweep, in addition to the implications from tariffs, we would also be watching the possible fiscal policy outcomes and how they would shift the US yields and the dollar. This means that the tightening of financial conditions would pose further growth downside to Asia, over and above the effects of tariffs. How would Asia’s policymakers respond to these scenarios? As tariffs are imposed, we would expect Asian currencies to most likely come under depreciation pressure in the near term. While this helps to partly offset the negative implications of tariffs, it will constraint the ability of the central banks to cut rates. In this context, we expect fiscal easing to lead the first part of the policy response before rate cuts follow once currencies stabilize. It’s worth noting that in this cycle, the monetary policy space in Asia is much more limited than in the previous cycles because nominal rates in Asia for the most part are lower than in the US at the starting point. Of course, this is an evolving situation in the remaining months before the US elections, and we’ll continue to keep you updated on any significant developments. 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.

24 Jul 20244min

Almost Human: Robots in Our Near Future

Almost Human: Robots in Our Near Future

Our Head of Global Autos & Shared Mobility discusses what makes humanoid robots a pivotal trend with implications for the global economy.----- Transcript -----Welcome to Thoughts on the Market. I’m Adam Jonas, Morgan Stanley’s Head of Global Autos & Shared Mobility. Today I’ll be talking about an unusual but hotly debated topic: humanoid robots.It’s Tuesday, July 23rd, at 10am in New York. We've seen robots on factory floors, in displays at airports and at trade shows – doing work, performing tasks, even smiling. But over the last eighteen months, we seem to have hit a major inflection point.What's changed? Large Language Models and Generative AI. The current AI movement is drawing comparisons to the dawn of the Internet. It’s begging big, existential questions about the future of the human species and consciousness itself. But let’s look at this in more practical terms and consider why robots are taking on a human shape. The simplest answer is that we live in a world built for humans. And we’re getting to the point where – thanks to GenAI – robots are learning through observation. Not just through rudimentary instruction and rules based heuristic models. GenAI means robots can observe humans in action doing boring, dangerous and repetitive tasks in warehouses, in restaurants or in factories. And in order for these robots to learn and function most effectively, their design needs to be anthropomorphic. Another reason we're bullish on humanoid robots is because developers can have these robots experiment and learn from both simulation and physically in areas where they’re not a serious threat to other humans. You see, many of the enabling technologies driving humanoid robots have come from developments in autonomous cars. The problem with autonomous cars is that you can't train them on public roads without directly involving innocent civilians – pedestrians, children and cyclists -- into that experiment. Add to all of this the issue of critical labor shortages and challenging demographic trends. The global labor total addressable market is around $30 trillion (USD) or about one-third of global GDP. We’ve built a proprietary US total addressable market model examining labor dynamics and humanoid optionality across 831 job classifications, working with our economic team; and built a comprehensive survey across 40 sectors to understand labor intensity and humanoid ability of the workforce over time. In the United States, we forecast 40,000 humanoid units by 2030, 8 million by 2040 and 63 million by 2050 – equivalent to around $3 trillion (USD) of salary equivalent. But as early as 2028 we think you're going to see significant adoption beginning in industries like manufacturing, production, warehousing, and logistics, installation, healthcare and food prep. Then in the 2030s, you’re going to start adding more in healthcare, recreational and transportation. And then after 2040, you may see the adoption of humanoid robots go vertical. Now you might say – that’s 15 years from now. But just like autonomous cars, the end state might be 20 years away, but the capital formation is happening right now. And investors should pay close attention because we think the technological advances will only accelerate from here. Thanks for listening. And if you enjoy the show, please leave us a review wherever you listen and share Thoughts on the Market with a friend or colleague today.

23 Jul 20243min

Business Cycle May Trump Politics

Business Cycle May Trump Politics

Our CIO and Chief US Equity Strategist explains that in the event of a Republican sweep in this fall’s U.S. elections, investors should not expect a repeat of 2016 given the different business environment.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief US Equity Strategist. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about why investors should fade the recent rally in small caps and other pro cyclical trades. It's Monday, July 22nd at 11:30am in New York. So let’s get after it.With Donald Trump’s odds of winning a second Presidency rising substantially over the past few weeks, we’ve fielded many questions on how to position for this outcome. In general, there is an increasing view that growth and interest rates could be higher given Trump's focus on business-friendly policies, de-regulation, higher tariffs, less immigration and additional tax cuts. While the S&P 500 has risen alongside Trump's presidential odds this year, several of the perceived industry outperformers under this political scenario have only just recently started to show relative outperformance. One could argue a Trump win in conjunction with a Republican sweep could be particularly beneficial for Banks, Small Caps, Energy Infrastructure and perhaps Industrials. Although, the Democrats' heavy fiscal spending and subsidies for the Inflation Reduction Act, Chips Act and other infrastructure projects suggest Industrial stocks may not see as much of an incremental benefit relative to the past four years. The perceived industry underperformers are alternative energy stocks and companies likely to be affected the most by increased tariffs. Consumer stocks stand out in terms of this latter point, and they have underperformed recently. However, macro factors are likely affecting this dynamic as well. For example, concerns around slowing services demand and an increasingly value-focused consumer have risen, too. It's interesting to note that while these cyclical areas that are perceived to outperform under a Trump Presidency did work in 2016 and through part of 2017, they did even better during Biden's first year. Our rationale on this front is that the cycle plays a larger role in how stocks trade broadly and at the sector level than who is in the White House. As a comparison, we laid out a bullish case at the end of 2016 and in early 2017 when many were less constructive on pro cyclical risk assets than we were post the 2016 election. It’s worth pointing out that the global economy was coming out of a commodity and manufacturing recession at that time, and growth was just starting to reaccelerate, led by another China boom. Today, we face a much different macro landscape. More specifically, several of the cyclical trades mentioned above typically show their best performance in the early cycle phase of an economic expansion like 2020-2021. They show strong, but often not quite as strong performance in mid cycle periods like 2016-17. They tend to show less strong returns later in the cycle like today. Our late cycle view is further supported by the persistent fall in long term interest rates and inverted yield curve. We believe the recent outperformance of lower quality, small cap stocks has been driven mainly by a combination of softer inflation data and hopes for an earlier Fed cut combined with dealer demand and short covering from investors on the back of Trump’s improved odds. For those looking to the 2016 playbook, we would point out that relative earnings revisions for small cap cyclicals are much weaker today than they were during that period. Back in December when small caps saw a similar squeeze higher, we explored the combination of factors that would likely need to be in place for small cap equities to see a durable, multi-month period of outperformance. Our view was that the introduction of rate cuts in and of itself was not enough of a factor to drive small cap outperformance versus large caps. In fact, history suggests large cap growth tends to be the best performing style once the Fed begins cutting as nominal growth is often slowing at this point in the cycle, which enables the Fed to begin cutting. We concluded that to see durable small cap outperformance, we would need to see a much more aggressive Fed cutting cycle that revived animal spirits in a significant enough way for growth and pricing power to inflect higher, not lower like recent trends. We are monitoring small cap earnings expectations and small business sentiment for signs that animal spirits are building in this way. Rates and pricing power are still headwinds; while small businesses are not all that sanguine about expanding operations, they are increasingly viewing the economy more positively — an incremental positive and something worth watching. We will continue to monitor the data in assessing the feasibility of this small cap rally continuing. Based on the evidence to date, we would resist the urge to chase this cohort and lean back into large cap quality and defensives. Thanks for listening. If you enjoy the podcast, please leave us a review wherever you listen, and share Thoughts on the Market with a friend or colleague today.

22 Jul 20245min

Why Credit Markets Like Moderation

Why Credit Markets Like Moderation

Our Head of Corporate Credit Research shares four reasons that he believes credit spreads are likely to stay near their current lows.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, Head of Corporate Credit Research at Morgan Stanley. Along with my colleagues bringing you a variety of perspectives, today I'll be talking about why being negative credit isn’t as obvious as it looks, despite historically low spreads.It's Friday, July 19th at 2pm in London.We’re constructive on credit. We think the asset class likes moderation, and that’s exactly what Morgan Stanley forecasts expect: moderate growth, moderating inflation and moderating policy rates. Corporate activity is also modest; and even though it’s picking up, we haven’t yet seen the really aggressive types of corporate behavior that tend to make bondholders unhappy. Meanwhile, demand for the asset class is strong, and we think the start of Fed rate cuts in September could make it even stronger as money comes out of money market funds, looking to lock in current interest rates for longer in all sorts of bonds – including corporate bonds. And so while spreads are low by historical standards, our call is that helpful fundamentals and demand will keep them low, at least for the time being. But the question of credit’s valuation is important. Indeed, one of the most compelling bearish arguments in credit is pretty straightforward: current spreads are near some of their lowest levels of several prior cycles. They’ve repeatedly struggled to go lower. And if they can’t go lower, positioning for spreads to go wider and for the market to go weaker, well, it would seem like pretty good risk/reward. This is an extremely fair question! But there are four reasons why we think the case to be negative isn’t as straightforward as this logic might otherwise imply.First, a historical quirk of credit valuations is that spreads rarely trade at long-run average. They are often either much wider, in times of stress, or much tighter, in periods of calm. In statistical terms, spreads are bi-modal – and in the mid 1990s or mid 2000’s, they were able to stay near historically tight levels for a pretty extended period of time. Second, work by my colleague Vishwas Patkar and our US Credit Strategy team notes that, if you make some important adjustments to current credit spreads, for things like quality, bond price, and duration, current spreads don’t look quite as rich relative to prior lows. Current investment grade spreads in the US, for example, may still be 20 basis points wider than levels of January 2020, right before the start of COVID. Third, a number of the key buyers of corporate bonds at the moment are being driven by the level of yields, which are still high rather than spread, which are admittedly low. That could mean that demand holds up better even in the face of lower spreads. And fourth, credit is what we’d call a positive carry asset class: sellers lose money if nothing in the market changes. That’s not the case for US Treasuries, or US Equities, where those who are negative – or short – will profit if the market simply moves sideways. It’s one more factor that means that, while spreads are low, we’re mindful that being negative too early can still be costly. It’s not as simple as it looks. 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.

19 Jul 20243min

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