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.

Avsnitt(1507)

Macro Economy: The 2024 Outlook

Macro Economy: The 2024 Outlook

As global growth takes a hit and inflation begins to cool, how does the road ahead look for central banks and investors? Chief Fixed Income Strategist Vishy Tirupattur hosts a roundtable with Chief Economist Seth Carpenter and Chief U.S. Equity Strategist Mike Wilson to discuss.----- Transcript -----Vishy Tirupattur: Welcome to Thoughts on the Market. I am Vishy Tirupattur, Morgan Stanley's Chief Fixed Income Strategist. Today on the podcast we'll be hosting a very special roundtable discussion on what is ahead for the global economy and markets by 2024. I am joined by my colleagues, Seth Carpenter, Global Chief Economist and Mike Wilson, Chief Investment Officer and Chief U.S. Equity Strategist. It's Monday, November 13th at 9 a.m. in New York. Vishy Tirupattur: Thanks to both of you for taking the time to talk. We have a lot to cover, so I am going to go right into it. Seth, I want to start with the global economy. As you look ahead to 2024, how do you see the global economy evolving in terms of growth, inflation and monetary policy? Seth Carpenter: Thanks, Vishy. As we look forward over the next couple of years, there are a few key themes that we're seeing in terms of growth, inflation and monetary policy. First, looks like global growth has stepped down this year relative to last year and we're expecting another modest step down in the global economy for 2024 and into 2025. Overall, what we're seeing in the developed market economies is restrictive monetary policy in general restraining growth, whereas we have much more mixed results in the emerging market world.Inflation, though, is a clear theme around the world. Overall, we see the surge in inflation. That has been a theme in global markets for the past couple of years as having peaked and starting to come down. It's coming down primarily through consumer goods, but we do see that trend continuing over the next several years. That backdrop of inflation having peaked and coming down along with weaker growth means that we're setting ourselves up for overall a bit of an easing cycle for monetary policy. We are looking for the Fed and the ECB each to start an easing cycle in June of this year. For the Fed, it's because we see growth slowing down and inflation continuing to track down along the path that we see and that the Fed will come around to seeing. I would say the stark exception to this among developed market economies is the Bank of Japan. We have seen them already get to the de facto end of yield curve control. We think by the time we get to the January policy meeting, they will completely eliminate yield curve control formally and go from negative interest rate policy to zero interest rate policy. And then over the course of the next year or so, we think we're going to see very gradual, very tentative increases in the policy rate for Japan. So for every story, there's a little bit of a cross current going on. Vishy Tirupattur: Can you talk about some of the vulnerabilities for the global economy? What worries you most about your central case, about the global economy? Seth Carpenter: We put into the outlook a downside scenario where the current challenges in China, the risks, as we've said, of a debt deflation cycle, they really take over. What this would mean is that the policy response in beijing is insufficient to overcome the underlying dynamics there as debt is coming down, as inflation is weak and those things build on themselves. Kind of a smaller version of the lost decade of Japan. We think from there we could see some of that weakness just exported around the globe. And for us, that's one of the key downside risks to the global economy. I'd say in the opposite direction, the upside risk is maybe some of the strength that we see in the United States is just more persistent than we realize. Maybe it's the case that monetary policy really hasn't done enough. And we just heard Chair Powell talk about the possibility that if inflation doesn't come down or the economy doesn't slow enough, they could do more. And so we built in an alternate scenario to the upside where the US economy is just fundamentally stronger. Let me pass it back to you Vishy. Vishy Tirupattur: Thank you Seth. Mike, next I'd like to go to you. 2023 was a challenging year for earnings growth, but we saw significant multiple expansion. How do you expect 2024 to turn out for the global equity markets? What are the key challenges and opportunities you see for equity markets in 2024? Mike Wilson: 2023 was obviously, you know, kind of a challenging year, I think, for a lot of equity managers because of this incredible dispersion that we saw between, kind of, how economies performed around the world and how that bled into company performance. And it was very different region by region. So, you know, first off, I would say US growth, the economic level was better than expected, better than the consensus expected for sure, and even better than our economists view, which was for a soft landing. China was, on the other hand, much worse than expected. The reopening really never materialized in any meaningful way, and that bled into both EM and European growth. I would say India and Japan surprised in the upside from a growth standpoint, and Japan was by far the star market this year. The index was up a lot, but also the average stock performed extremely well, which is very different than the US. India also had pretty good performance equity wise, but in the US we had this incredible divergence between the average stock and the S&P 500 benchmark index, with the average stock underperforming by as much as 12 or 1300 basis points. That's pretty unusual. So how do we explain that and what does that mean for next year? Well, look, we think that the fiscal support is starting to fade. It's in our forecast now. In other words, economic growth is likely to soften up, not a recession yet for 2024, but growth will be deteriorating. And we think that will bleed into further earnings deterioration. So for 2024, we continue to favor Japan, where the earnings of breadth has been the best looks to us, and that's in a new secular bull market. In the US, it's really a tale of two worlds. It's companies that have cost leadership or operational efficiency, a thing we've been espousing for the last two years. Those types of companies should continue to outperform into the first half of next year. And then eventually we suspect, will be flipping pretty aggressively to companies that have poor operational efficiency because we're going to want to catch the upside leverage as the economy kind of accelerates again in the back half of 2024 or maybe into 2025. But it's too early for that in our view.Vishy Tirupattur: How do you expect the market breadth to evolve over 2024? Can you elaborate on your vision for market correction first and then recovery in the later part of 2024? Mike Wilson: Yes. In terms of the market breadth, we do ultimately think market breadth will bottom and start to turn up. But, you know, we have to resolve, kind of, the index price first. And this is why we've continued to maintain our $3900 price target for the S&P 500 for, you know, roughly year end of this year. That, of course, would argue you're not going to get a big rally in the year-end. And the reason we feel that way, it's an important observation, is that market breadth has deteriorated again very significantly over the last three months. And breadth typically leads the overall index. So until breadth bottoms out, it's very difficult for us to get bullish at the index level as well. So the way we see it playing out is over the next 3 to 6 months, we think the overall index will catch down to what the market breadth has been telling us and should lead us out of what has been, I think a pretty, you know, persistent bear market for the last two years, particularly for the average stock. And so we suspect we're going to be making some significant changes in both our sector recommendations. New themes will emerge. Some of that will be around existing themes. Perhaps AI will start to actually have a meaningful impact on overall productivity, something we see really evolving in 2025, more than 2024. But the market will start to get ahead of that. And so I think it's going to be another year to be very flexible. I'd say the best news is that although 2023 has been somewhat challenging for the average stock, it's been a great year for dispersion, meaning stock picking. And we think that's really the key theme going into 2024, stick with that high dispersion and stock picking mentality. And then, of course, there'll be an opportunity to kind of flip the factors and kind of what's working into the second half of next year. Vishy Tirupattur: Thanks, Mike. We are going to take a pause here and we'll be back tomorrow with our special year ahead roundtable, where we'll share our forecasts for government bonds, corporate credit, currencies and housing. As a reminder, if you enjoy the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

14 Nov 20238min

Andrew Sheets: Will the Bond Market Suffer from Tax-Loss Selling?

Andrew Sheets: Will the Bond Market Suffer from Tax-Loss Selling?

Investors whose corporate bond holdings have lost value in 2023 could sell before the end of the year, locking in their losses to offset gains elsewhere. Here are three reasons that they probably won’t.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, Global Head of Corporate Credit Research for Morgan Stanley. Along with my colleagues, bringing you a variety of perspectives, I'll be talking about trends across the global investment landscape and how we put those ideas together. It's Friday, November 10th at 2 p.m. in London. One of the questions that's come up on my recent travels is the risk from so-called tax loss selling. Bonds of many stripes have had a tough year, and the concern would be that investors would like to sell now and crystallize any losses to offset other gains. Tax loss selling has been a recent driver of single stock performance, as often happens around this time of year, as noted by my colleague Michael Wilson, Morgan Stanley CIO and Chief U.S. Equity Strategist. But for corporate bonds, we think these risks look pretty modest. There are a few reasons why. First, while corporate bonds have had a tough year, the losses aren't particularly large and indeed have gotten a lot better in recent weeks, as yields have started to rally. US investment grade bonds or the U.S. aggregate bond index is plus or minus a couple of percentage points, and we're just not sure these are big enough losses for investors to take action. In equity markets, you generally need much larger drawdowns to generate year end tax selling. Second, the investor bases are different. Equity markets tend to see much more participation in individual stocks, which creates opportunities for tax loss harvesting. Investment credit, especially among individual investors, is more commonly done through funds, where the smaller drawdowns I just mentioned would mean less incentive to take action. These different investor bases also have different motivations. We think many individual investors, whether through funds or individual securities, invest in corporate bonds for a stable long term income. We think they're simply less likely to have the sort of trading mindset of the average investor holding stocks. Meanwhile, institutions who hold corporate bonds also face constraints. While some may sell for a capital gains offset, others face a penalty for realizing such a loss and thus are more incentivized to hold these securities they believe remain ultimately creditworthy. And for long dated corporate bonds, which have the largest year to date losses, well, those are certainly enjoying some of the strongest end-buyer demand. Finally, we think any tax related selling we do see in the credit market could wash at the overall market level. Similar to equities, investors selling losers at year end don't necessarily drive down the market overall, as these funds are often recycled into other securities. And indeed, October through December, when tax loss selling usually occurs, are seasonally strong months for the equity market or the credit market. And we think a similar thing could happen in corporate bonds, where investors who do sell a corporate bond fund for a tax loss may be likely to recycle this into another part of the bond market. Total returns for corporate bonds have been tough year-to-date, but we're skeptical that these would lead to tax loss selling and another like lower. The modest scale of year-to-date losses, the nature of the investor base and the potential for any such sales to be recycled into other parts of the market are all reasons why. Thanks for listening. Subscribe to Thoughts on the Market on Apple Podcasts or wherever you listen, and leave us a review. We'd love to hear from you.

10 Nov 20233min

Ed Stanley: Weight Loss Drugs and the Global Economy

Ed Stanley: Weight Loss Drugs and the Global Economy

Despite some falloff in consumer interest, anti-obesity drugs are still likely to have profound implications at both the macro and sectoral level.----- Transcript -----Welcome to Thoughts on the Market. I'm Ed Stanley, Morgan Stanley's Head of Thematic Research in Europe. Along with my colleagues, bringing you a variety of perspectives, today I'll give you an update on the all important obesity theme and how it's impacting a wide range of industries. It's Thursday, November the 9th at 2 p.m. in London. GLP-1s, a type of anti-obesity medicine, have been on the market since 2010, but it's taken until 2023 for this theme to really come to life. We believe that GLP-1s will clearly have profound implications over the long term, both on a macro and micro level. Obesity has far reaching implications for the global economy as it leads to lost productivity and significant health care costs. We estimate the macro impact of obesity at 3.6% of US GDP, with potentially $1.24 trillion in lost productivity indirect costs. Anti-Obesity drugs have the potential to address at least some of this economic burden and at a reasonable cost. The micro implications on businesses year-to-date have seen about a $600 billion swing in market cap. That includes, to the upside, $340 billion for the GLP-1 makers and over $260 billion lost in market value for the stocks that are potentially disrupted. For context, that compares to a total US drug market of $430 billion annually. 2023 saw an impressive surge in investor interest in anti-obesity drugs. Yet and perhaps surprising to some based on hashtag and web traffic data we track, consumer interest appears to have waned in recent weeks. We think this notable dip from the peak in activity is driven in part by supply constraints, paused geographic expansion and curtailed promotional activity. Importantly though, this fade in initial consumer excitement is occurring at the same time that company transcript mentions of obesity or GLP-1 by non-pharma companies are reaching new highs. This disconnect between sain street moderation and excitement versus Wall Street's rise in excitement, is very typical of short term hype cycle tops in equity markets, particularly given the current environment of higher interest rates. But even as the initial buzz around obesity drugs is fading back to more moderate levels in the near term, we do believe there will be wide ranging implications over the long term that are hard to deny. And our global analysts have been all over this on a sector by sector basis. First off, we believe that US alcohol beverages per capita will correct due to abnormally high consumption in recent years and longer term structural challenges such as demographic, health and wellness. For beer growing adoption of obesity medication presents an incremental risk factor to consumption, although many of these companies are already working on healthier options. Across packaged foods, patients on anti-obesity medications have been cutting back the most on foods high in sugar and fat, such as confections, baked goods, salty snacks, sugary drinks and alcohol. Companies with a weight management or better for you portfolio appear to be better positioned for here. Within US food retail, we think dollar stores which target lower end consumers with outsized exposure to high calorie foods, will be the most adversely impacted in the context of increased adoption of these drugs. Separately, insulin pump makers should be only minimally impacted, we think, by GLPs by 2027, which suggests that the share price reaction to the downside for these stocks year-to-date may be materially overdone. Obesity has a direct impact on osteoarthritis, with about twice the prevalence of arthritis in obese versus non obese patients. A much higher need for arthroplasty with higher BMIs and obese patients having higher surgical complications. GLP-1 usage could have some complex effects on these ortho stocks. We also see longer term risk for most of the US and European fast food industry. The same goes for carbonated sugary drinks and for chocolate lovers out there, the rising GLP-1 adoption could pressure chocolate consumption longer term. But the magnitude of these impacts remains uncertain, as indulgence will still remain a core consumer need even in this new GLP-1 paradigm. All in all, we remain bullish on the anti-obesity drug market, particularly given the staggering 750 million people globally living with obesity, and this continues to be a dynamic space for investors to watch closely. Thanks for listening. If you enjoyed this show, please leave a review on Apple Podcasts and share Thoughts on the Market with a friend or a colleague today.

9 Nov 20234min

Michael Zezas: Are the Worst Bond Returns Behind Us?

Michael Zezas: Are the Worst Bond Returns Behind Us?

The recent treasury rally signals that perhaps the U.S. fiscal trajectory isn't as challenging as bond investors had feared.----- Transcript -----Welcome to Thoughts on the Market. I'm Michael Zezas, Global Head of Fixed Income and Thematic Research for Morgan Stanley. Along with my colleagues bringing you a variety of perspectives, I'll be talking about the impact of U.S. fiscal policy on markets. It's Wednesday, November 8th at 10 p.m. in New York. As Congress gets back to work on funding the government and avoiding a government shutdown, investors' attention has turned back to public finances. In particular, as bond markets sold off much of the year, a common theory posited by clients to our team was that U.S. fiscal policy was to blame. Expanding deficits meant higher supply and could also mean higher inflation, growth and ultimately a higher peak Fed funds rate. But upon closer examination, maybe the U.S. fiscal trajectory isn't as challenging as feared, and the bond market may be finally noticing. Treasuries have rallied in the past week. Which makes sense to us as our assessment is that U.S. fiscal expansion at all levels has either peaked or is near its peak. Consider that the federal deficit this year rose largely based on lower revenues driven by factors that are unlikely to repeat. For example, Fed remittances zeroed out, and there's about $85 billion of deferred collection of tax revenue due to natural disasters. Together with other factors, we think this year's nearly 1% growth in deficits as a percentage of GDP will be followed next year by a decline of about 0.2%. Further downside is possible if a spending sequester kicks in, in April. Also, consider that major deficit expansion isn't likely to be on Congress's agenda. Between now and the 2024 election, there's little reason to expect deficit expanding bills beyond the current baseline. Government control is divided, and history shows that makeup rarely does fiscal expansion unless it's responding to an economic crisis. After Election Day, Republicans and Democrats do have deficit additive policies they say they want to pursue, but the numbers are relatively modest. Republicans' plan to extend parts of prior tax cuts would add about 0.3% to deficits as a percentage of GDP in the first year, and we estimate the consensus tax and spending plans of Democrats would add about 0.1%, both manageable numbers. Also worth noting is that state and local governments seem near their peak fiscal expansion. Their recent expansion appears tied to spending of prior COVID aid, which is quickly depleting, as well as hiring, which is nearly back to pre-COVID levels. So bottom line, if you're concerned about Treasury yields resuming their upward trend, look elsewhere for a catalyst. Consumption would be the most likely culprit but at the moment, our economists are still seeing downside there in the near term. This gives us confidence that the worst of U.S. government bond returns is probably behind us for this cycle. Thanks for listening. If you enjoy the show, please share Thoughts on the Market with a friend or colleague or leave us a review on Apple Podcasts. It helps more people find the show.

8 Nov 20232min

Matt Cost: How AI Could Disrupt Gaming

Matt Cost: How AI Could Disrupt Gaming

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

7 Nov 20232min

Mike Wilson: Will the Equity Market Rally Last?

Mike Wilson: Will the Equity Market Rally Last?

Last week’s uptick in stock prices, driven by a pullback in bond yields and the Fed’s decision to hold rates steady, is likely to fizzle over the coming weeks.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Chief Investment Officer and Chief U.S. Equity Strategist for Morgan Stanley. Along with my colleagues, bringing you a variety of perspectives, I'll be talking about the latest trends in the financial marketplace. It's Monday, November 6th, at 10 a.m. in New York. So let's get after it. With many stocks down more than 20% from the July highs, a dynamic punctuated by tax loss selling from institutional managers at the end of October, equity markets were primed for some kind of a bounce. However, last week's rally in equities was the largest that we've seen all year, and it was led by many of the year-to-date laggards. Furthermore, both market cap and equal weight versions of the S&P 500 index were up 5.9%, as breadth showed its first signs of life since June. In our view, this move in equities was more about the strong rally in bonds than anything else. After an historic rise this past quarter, ten year Treasury yields reached an attractive level of 5% near the end of last month. Perhaps even more attractive for investors to ignore was that real ten year yields were at 2.5%. One factor driving bond yields lower last week was the Treasury's announcement of its planned longer term securities issuance that was below expectations. We also attribute the move to the weaker than expected economic data releases last week, more specifically, manufacturing and services purchasing manager surveys fell by much more than expected. The labor market data also showed further signs of cooling. Specifically, continuing jobless claims are now up more than 35% from the cycle trough, and the unemployment rate is now up 0.5% from the lows, both of these are important thresholds in past labor cycles. Finally, revisions to prior non-farm payroll data have consistently been negative this year, while the Household Labor survey indicated we lost 348,000 jobs last month. Given the absolute level of yields in a slowing growth and inflation backdrop, bonds may finally be attracting larger asset owners and allocators. Meanwhile, earnings revision breadth remains well into negative territory, with the big growth stocks earnings results providing only modest stability to this important leading indicator. This year's earnings recession continues to play out, particularly at the stock level. This is one reason why broader indices and the average stock's performance within the S&P 500 have been so much weaker than the very concentrated market cap weighted S&P 500 index this year. From a tactical perspective, the underlying performance breadth remains weak, while several broader and equal weighted indices remain flat on the year, with elevated volatility. A challenging risk reward set up in the context of 5% plus risk free yields that are currently available in money markets and T-bills. Yet the number one question we continue to get is whether there will be a rally into year end. For equity only asset managers, that's an important question and debate, but for asset owners and allocators, the prospect of adding additional equity risk at current levels seems unattractive given these other alternatives. The bottom line, we think the strong rally in rates drove stocks higher last week. Bulls have interpreted this move as a signal the Fed is done hiking rates and is likely to cut next year without any material deterioration to the labor market or some other negative event for growth. In contrast, we believe that the rate decline was mainly a function of less than expected, longer dated bond issuance guidance from the Treasury combined with some signs that the economy is slowing from the torrid pace of the third quarter. This is in line with our economists' tepid forecast for the fourth quarter and 2024 GDP growth and supports our view that the earnings recession is not yet over. Such an outcome suggests last week's rally should fizzle out over the coming week or two as it becomes clear the growth picture does not support either Fed cuts or a significant acceleration in EPS growth in the near term. Thanks for listening. If you enjoy Thoughts on the Market, please take a moment to rate and review us on the Apple Podcast app. It helps more people to find the show.

6 Nov 20234min

Andrew Sheets: Upgrades and Downgrades in Corporate Credit

Andrew Sheets: Upgrades and Downgrades in Corporate Credit

As the majority of the stress from higher rates falls on weaker borrowers, investors should consider moving up in quality.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, Global Head of Corporate Credit Research for Morgan Stanley. Along with my colleagues bringing you a variety of perspectives, I'll be talking about trends across the global investment landscape and how we put those ideas together. It's Friday, November 3rd at 2 p.m. in London. Downgrades in the loan market are moderating after a spike in 2022. That's good news overall, but still suggests an environment that will reward a higher quality bias in high yield investing. After rising throughout last year, net downgrade activity for U.S. leveraged loans, which represent corporate loans to below investment grade borrowers, have declined about 50%. The most extreme downgrades where issuers fall to a triple C rating, have moderated the most, while triple C upgrades have become more frequent, as companies have successfully refinanced upcoming debt. Fewer net downgrades, and especially less movement into this riskiest triple C cohort, is good news. And we think it's consistent with the idea that despite a near doubling of borrowing costs over the last two years, default rates will only rise to about average levels and not something higher and more alarming. But within this activity, we think there's also a message, the majority of the stress from those higher rates is falling on weaker borrowers. Investors should look to move up in quality. Why do we think this? When interest rates rise, the impact on borrowers happens gradually, rather than all at once, since borrowers are still likely to have some debt outstanding that was taken out when rates were lower. That means that today's financial metrics and ratings may still not fully reflect the impact of the unusually fast rise in borrowing costs. That still to come impact, could fall most heavily on loan issuers rated B3/B-, the last step above the lowest triple C tier. My colleagues Vishwas Patkar and Joyce Jiang of the U.S. Credit Strategy team estimate that by the end of this year, over 1/3 of these issuers could have an interest coverage ratio, which represents the ratio of your cash flow to your borrowing costs, below 1.3x, even if their earnings are flat. In a scenario where growth is even weaker this year, that share would be even higher. And despite these low single B's facing the most risk from higher borrowing costs, in our view, markets aren't charging a particularly large premium to avoid them. The extra spread that an investor gets from moving down to a B- credit from the notches above, is near the lowest of the last ten years. And our up and quality bias isn't just about playing defense, as higher rated issuers are generally seeing better ratings transition trends. Double B rated credits are posting more upgrades than downgrades and outperforming lower rated single B's or triple C's. And even higher rated triple B credits are posting an even larger volume of upgrades relative to downgrades over the last 12 months. Ratings actions are stabilizing and suggest extreme outcomes for default rates are likely to be avoided. But given fundamentals and pricing, moving up in quality still makes sense. Thanks for listening. Subscribe to Thoughts on the Market on Apple Podcasts or wherever you listen and leave us a review. We'd love to hear from you.

3 Nov 20233min

US Economy: What Generative AI Means for the Labor Market

US Economy: What Generative AI Means for the Labor Market

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

2 Nov 20238min

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