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(1514)

Cryptocurrency: The Issue of Regulation

Cryptocurrency: The Issue of Regulation

As cryptocurrency has seen some of its major players topple, policy makers have set their sights on regulation. So what are some of the possible scenarios for crypto policy? U.S. Public Policy Researcher Ariana Salvatore and Head of Cryptocurrency Research Sheena Shah discuss.Digital assets, sometimes known as cryptocurrency, are a digital representation of a value that function as a medium of exchange, a unit of account, or a store of value, but generally do not have legal tender status. Digital assets have no intrinsic value and there is no investment underlying digital assets. The value of digital assets is derived by market forces of supply and demand, and is therefore more volatile than traditional currencies’ value. Investing in digital assets is risky, and transacting in digital assets carries various risks, including but not limited to fraud, theft, market volatility, market manipulation, and cybersecurity failures—such as the risk of hacking, theft, programming bugs, and accidental loss. Additionally, there is no guarantee that any entity that currently accepts digital assets as payment will do so in the future. The volatility and unpredictability of the price of digital assets may lead to significant and immediate losses. It may not be possible to liquidate a digital assets position in a timely manner at a reasonable price.Regulation of digital assets continues to develop globally and, as such, federal, state, or foreign governments may restrict the use and exchange of any or all digital assets, further contributing to their volatility. Digital assets stored online are not insured and do not have the same protections or safeguards of bank deposits in the US or other jurisdictions. Digital assets can be exchanged for US dollars or other currencies, but are not generally backed nor supported by any government or central bank.Before purchasing, investors should note that risks applicable to one digital asset may not be the same risks applicable to other forms of digital assets. Markets and exchanges for digital assets are not currently regulated in the same manner and do not provide the customer protections available in equities, fixed income, options, futures, commodities or foreign exchange markets. Morgan Stanley and its affiliates do business that may relate to some of the digital assets or other related products discussed in Morgan Stanley Research. These could include market making, providing liquidity, fund management, commercial banking, extension of credit, investment services and investment banking.----- Transcript -----Ariana Salvatore: Welcome to Thoughts on the Market. I'm Ariana Salvatore from Morgan Stanley's U.S. Public Policy Research Team. Sheena Shah: And I'm Sheena Shah, Head of the Cryptocurrency Research Team. Ariana Salvatore: And on this special episode of the podcast, we'll focus on the issue of cryptocurrency regulation. It's Wednesday, March 15 at 10 a.m. in New York. Sheena Shah: And 2 p.m. in London. Ariana Salvatore: The recent news about the U.S. banking system has brought even more focus on the cryptocurrency markets. Our listeners may have heard about a series of insolvencies and collapses of major crypto players last year, with the most notable being the FTX exchange. These events have raised concerns among policymakers and are signaling a need to regulate cryptocurrencies as a means of protecting investors. Sheena, before we dig into any potential regulatory path for crypto from here, I think it's important to try to get a grip on a question that might seem basic, but in fact is one that policymakers have actually been grappling with for quite some time. And that is, what is a cryptocurrency from a regulatory perspective. Is it a security or is it a commodity? How should it be classified from a regulatory perspective? Sheena Shah: So cryptos could be classified as many things: securities, commodities, currencies, or even something else. But the U.S. regulators are making their view very clear. The SEC is saying every crypto apart from Bitcoin is a security. The definition will determine what products can be offered, which companies can offer them, which regulator will be in charge and maybe even how transactions are taxed. There is agreement that Bitcoin should be classified as a commodity, partly due to its decentralized nature, and no regulator is classifying Bitcoin as a currency as this would admit that it's a direct competitor with the U.S. dollar. Ariana Salvatore: Got it. So taking a step back for a second, cryptocurrencies up until this point have been largely unregulated and volatility is obviously nothing new in the space. What has been happening in crypto markets lately that's just now suggesting a need for regulation? Sheena Shah: Well, last year crypto prices were in a bear market and the collapse of the FTX exchange just increased the politician interest in this area. Trading data tell us that the average U.S. retail investor purchased crypto when Bitcoin was trading above $40,000, around double the current price. So regulators want to make sure that retail investors understand the risks and to limit the volatility spillover from crypto to the traditional financial system. Now that we know why there's a need for regulation, what do you think the core principles would be behind a potential regulatory framework? Ariana Salvatore: So when we think about the way that Congress approaches the crypto space, there are really two key principles. The first is restrictiveness, or how much lawmakers want to rein in the space. And this we kind of see as a spectrum, so ranging from status quo or continuation of regulation by enforcement, to a scenario that we're calling comprehensive crypto crackdown. And that would be probably the most severe outcome from our perspective. The second principle is pretty binary. So whether or not Congress is able to delegate authority or control over the crypto space to one agency or another. One thing I'll just mention back on that Restrictiveness idea, it's not necessarily a question of just how much Congress wants to reign in the space, it's arguably even more so a function of what's possible in the legislative sense. Remember, the Republican Party controls the House of Representatives, so there are some structural constraints here that might make any regulatory efforts a little bit lighter touch than what you could expect in a unified government scenario or single party control. Sheena Shah: So there are lots of opinions on crypto regulation. What do you think is a viable eventual scenario for some regulatory framework? Ariana Salvatore: When we think about what's possible, like you said, there's a range of outcomes, but our base case is what we're calling scoping in Stablecoins. So in this scenario, Congress does in fact deliver a clear delegation of authority to either the FDIC or the CFTC, effectively answering that question of mapping out control. And it also puts into place some baseline consumer focused protections. So, for example, requiring Stablecoin issuers to be FDIC insured and imposing federal risk management standards, primarily things like reserve requirements. Now, why do we think they're going to target Stablecoins first? Besides the fact that that's pretty much all lawmakers can agree on for right now, we think there are two pressing reasons. First, most stablecoins are U.S. dollar based, and the services that some crypto companies have been offering are quite similar to what banks offer, which provides pretty direct competition with the U.S. banking system. And secondly, a large portion of crypto trading is also done via stablecoins, which means that regulating this area first could have a significant impact on the broader market without having to necessarily stretch those regulations further. So Sheena, turning it back to you, how do we think other governments around the world are looking at crypto regulation? Are they focused as the U.S. is, or are we kind of leading the way in this area? Sheena Shah: Most countries are looking at crypto regulation right now, and many are applying the similar rules, such as requiring exchanges to register with the regulators. I would say that the European Union is further ahead than the U.S. in terms of a crypto specific framework, with their MiCA regulation due to be put into law soon. In the U.S., they've gone down a route of enforcing current financial rules on crypto products. At first glance, the actions are thought to be pushing crypto innovations to other parts of the world. We think it's a bit too early to tell whether that will occur in the long run. Ariana Salvatore: Now, one specific area I'd like to touch on also, because it's become a global debate, is Central Banks Digital Currencies or CBDCs. Given the role of the U.S. dollar in the global economy, do you think the U.S. needs a CBDC? And if it does, what form do you think it could take? Sheena Shah: The U.S. only started investigating a CBDC because everyone else was doing it too. Most notably China and the Eurozone. The U.S. doesn't actually necessarily need a CBDC for domestic payments as instantaneous bank settlements are going to be possible through FedNow being introduced later this year. We don't know what form a CBDC could take as that's still being researched, but some forms could have dramatic implications for the banking sector should banks not be required to create the currency. This year we're paying more attention to the developments of the digital euro as that may be available within 2 to 3 years. Now, Ariana, if we bear in mind everything we've discussed so far, realistically how much do you expect to be accomplished in terms of crypto regulation by the next election? Ariana Salvatore: So in the note, we rank our scenarios in terms of likelihood. And as I mentioned before, scoping and stablecoins is our base case. So we do think that something gets done in this area ahead of the 2024 election, although obviously it's a very complex space and there's quite a ramp time associated with lawmakers learning about crypto and all the different nuances and working out those details. I think this question also brings up a really interesting point, though, in particular on timing and how that could relate to potential market impact. So back to your Civics 101 class, when Congress passes a law it technically goes into effect immediately, but the rules themselves can take some time to come to fruition. If the legislation directs federal agencies to come up with regulatory parameters within a certain time frame, that time frame can vary. It can be years, but sometimes it can be months following the legislation. So that is to say that although right now we're seeing significant legislative discussion underway, it's possible that markets have some time to digest the impact as these rules are introduced and developed and fine tuned to then eventually come into effect. We think that delay could create a ramp period for companies to make adjustments to become compliant with some of the new rules which we think could, overall in the longer term, soften the blow of regulation and mitigate the shock to markets. So, Sheena, last question for you. Given all of this, what key events or catalysts should investors be paying particular attention to in the coming months? Sheena Shah: Broad investor focus is clearly on the traditional banking sector. For crypto, we watch to see if there are any further announcements related to these recent coordinated actions from regulators aiming to define crypto products and any that could reduce the on-ramps between the fiat world and the crypto world. Ariana Salvatore: Got it, that makes sense. So this is a continuously evolving space with a lot of potential new developments along the way, and we'll be sure to keep an eye on it as it evolves. Sheena, thanks so much for taking the time to talk. Sheena Shah: Great speaking with you, Ariana. Ariana Salvatore: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review on Apple Podcasts and share the podcast with a friend or colleague today.

15 Mar 20238min

Martijn Rats: Differing Prospects for Oil & Gas

Martijn Rats: Differing Prospects for Oil & Gas

While oil and gas prices generally move in similar directions, their current situation has deviated from market norms.----- Transcript -----Welcome to Thoughts on the Market. I'm Martijn Rats, Morgan Stanley's Global Commodities Strategist. Along with my colleagues, bringing you a variety of perspectives, today I'll give you an update on the global oil and gas markets. It's Tuesday, March 14th at 2 p.m. in London. Energy markets are currently confronted with an unusual situation: usually oil and gas prices move in similar directions, but at the moment they have quite different prospects. Let's start with the global gas market, that is the gas market outside the United States, which has its own dynamic. Over the last 12 months, the center of activity in global gas has been Europe. This time last year, Europe still received close to 400 million cubic meters a day of natural gas from Russia. Over last summer, this fell by around 90% to just a trickle, causing a severe spike in European gas prices. At the time, we argued that gas prices needed to rise to drive demand destruction and attract LNG, that is liquefied natural gas that can be transported on tankers, to Europe. Prices indeed rose. By August, European gas prices reached over €300 per megawatt hour, that is more than 20x their normal level. Since then, the European gas market has seen the most dramatic turn around. For starters, demand destruction has been far greater than expected. Warm weather has helped, but that has certainly not been the main driver. At the same time, LNG imports into Europe have risen to levels that seemed unlikely this time last year. Remarkably, European gas prices have been declining for some time already, but energy imports just keep coming. The European gas market now faces the surprising situation that if demand stays as weak as it currently is, and LNG imports continue at the level of the last few months, inventories could fill over the summer to such an extent that Europe could run out of physical storage capacity sometime around August. In the space of a few months, the European gas market has gone from worrying about what commodity analysts call 'tank bottoms', to now concern over 'tank tops'. To prevent overstocking this summer, European gas prices probably need to fall further to send a signal to LNG suppliers that they need to send at least some of their energy cargoes elsewhere. However, that then creates a better supply situation elsewhere in the LNG market, putting downward pressure on prices there too. In contrast, the oil market presents a very different picture. Oil prices also gave up a large part of their gains late last year as the market worried about recession. However, even at the point when 70% of bank economists consensually forecast a recession, Brent crude oil did not fall much below $80 a barrel. At the moment, the oil market is modestly oversupplied, which is not uncommon for this time of the year. However, from here, the oil market has several tailwinds. First is another year of recovery in aviation, which is likely to drive growth and jet fuel consumption. Second is China's reopening. While there may be some concern in other markets over the impact of China's reopening, in the oil market the indications so far have simply been positive. And finally, there is supply risk for Russia. Although oil exports from Russia have continued, a lot of this oil is piling up at sea. That cannot continue at the current pace for very long and we would still estimate that Russian oil exports will eventually come under some pressure as the year progresses. Put these factors together and the oil market will likely come into balance in 2Q and reenter a deficit once again in the third and fourth quarter. Inventories are already low and likely to decline further in the second half. Spare capacity in OPEC is still very limited and investment levels have been modest in recent years. As the oil market tightens, prices are likely to find their way higher again. In inflation adjusted terms the average oil price over the last 15 years is $93 a barrel. This is not a market where oil prices should be below the historic average. In fact, we'd argue the opposite. As mentioned, oil and gas prices usually move in similar directions, but so far this year they have already diverged quite substantially. Given the current outlook, we think these trends have further to run- global gas faces headwinds, but oil is likely to find its way higher again later this year. Thanks for listening. If you enjoy the show, please leave us a review on Apple Podcasts and share Thoughts on the Market with a friend or colleague today.

14 Mar 20234min

Mike Wilson: What Bank Wind-Downs Mean for Equities

Mike Wilson: What Bank Wind-Downs Mean for Equities

Banking news and other market pressures are leading some depositors to move funds from traditional banks to higher-yielding securities. How will this affect economic growth and equity prices?----- 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, March 13th at 11 a.m. in New York. So let's get after it. The speed and size of the Silicon Valley bank wind down over the last week was startling to many investors, even those who have been negative on the stock for months on the basis of exactly what transpired- a classic mismatch between assets and liabilities and risk taking beyond what a typical depositor does. To be clear about our view, we do not think there's a systemic issue plaguing the entire banking system, like in 2007 to 2009, particularly with the FDIC decision to backstop uninsured deposits. However, last week's events are likely to have a negative impact on economic growth at a time when growth is already waning in many parts of the economy. Rather than do a forensic autopsy of what happened at Silicon Valley and other banks, I will instead focus my comments and what it may mean for equity prices more broadly. First, I would remind listeners that Fed policy works with long and variable lags. Second, the pace of Fed tightening over the past year is unprecedented when one considers the Fed has also been engaged in aggressive quantitative tightening. Third, the focus on market based measures of financial conditions, like stock and bond prices, may have lulled both investors and the Fed itself into thinking policy tightening had not yet gone far enough. Meanwhile, more traditional measures like the yield curve have been flashing warnings for the past 6 months, closing last week near its lowest point of the cycle. From a bank's perspective, such an inversion usually means it's more difficult to make new profitable loans, and new credit is how money supply expands. However, over the past year, bank funding costs have not kept pace with the higher Fed funds rate, allowing banks to create credit at profitable net interest margins. In short, most banks have been paying well below market rates, like T-bills, because depositors have been slow to realize they can get much better rates elsewhere. But that's changed recently, with depositors deciding to pull their money from traditional banks and placing it in higher yielding securities like money markets, T-bills and the like. Ultimately, banks will likely decide to raise the interest rate they pay depositors, but that means lower profits and lower loan supply. Even before this recent exodus of deposits, loan officers have been tightening their lending standards. In our view, such tightening is likely to become even more prevalent, and that poses another headwind for money supply and consequently economic and earnings growth. In other words, it's now harder to hold the view that growth will continue to hold up in the face of the fastest Fed tightening cycle in modern times. Secondarily, the margin deterioration across most industries we've been discussing for months was already getting worse. Any top line shortfall relative to expectations from tighter money supply will only exacerbate this negative operating leverage dynamic. The bottom line is that Fed policy works with long and variable lags. Many of the key variables used by the Fed and investors to judge whether Fed policy changes are having their desired effect are backward looking- things like employment and inflation metrics. Forward looking survey data, like consumer and corporate confidence, are often better at telling us what to expect rather than what's currently happening. On that score the picture is pessimistic about where growth is likely headed, especially for earnings. Rather than a random or idiosyncratic shock, we view last week's events as just one more supporting factor for our negative earnings growth outlook. In short, Fed policy is starting to bite and it's unlikely to reverse, even if the Fed were to pause its rate hikes or quantitative tightening. Instead, we think the die is likely cast for further earnings disappointments relative to consensus and company expectations, which means lower equity prices before this bear market is over. 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.

13 Mar 20233min

U.S. Tech: The Future of Artificial Intelligence

U.S. Tech: The Future of Artificial Intelligence

As the advancement of generative AI takes off, how might this inflection point in technology impact markets, companies, and investors alike? Equity Analyst and Head of U.S. Internet Research Brian Nowak and Head of the U.S. Software Research Team Keith Weiss discuss.----- Transcript -----Brian Nowak: Welcome to Thoughts on the Market. I'm Brian Nowak, Equity Analyst and Head of U.S. Internet Research for Morgan Stanley. Keith Weiss: And I'm Keith Weiss, Head of the U.S. Software Research Team. Brian Nowak: Today, we're at Morgan Stanley's annual Tech, Media, and Telecom conference in downtown San Francisco. We've been here most of the week talking with industry leaders and emerging companies across the spectrum, and the topic on everyone's mind is clearly A.I. So today, we're going to share some of what we're hearing and our views on the rise of artificial intelligence tools. It's Thursday, March 9th at 2 p.m. here on the West Coast. Brian Nowak: All week, Keith and I have been meeting with companies and speaking with new companies that are developing technologies in artificial intelligence. We've written research about how we think that artificial intelligence is reaching somewhat of an iPhone inflection moment with new people using new tools, and businesses starting to realize artificial intelligence is here to stay and can drive real change. Keith, talk to us about how we reached this moment of inflection and how do you think about some of the big picture changes across technology? Keith Weiss: Well, thank you for having me, Brian. So we've been talking about artificial intelligence for some time now. Software companies have been infusing their solutions with machine learning driven type algorithms that optimize outcomes for quite some time. But I do think the iPhone analogy is apt, for two reasons. One, what we're talking about today with generative AI is more foundational technologies. You can almost think about that as the operating system on the mobile phone like the iOS operating system. And what we've heard all week long is companies are really seeing opportunity to create new apps on top of that operating system, new use cases for this generative AI. The other reason why this is such an apt analogy is, like the iPhone, this is really capturing the imagination of not just technology executives, not just investors like you and I, but everyday people. This is something that our kids are coming home from high school and saying, "Hey, dad, look at what I'm able to do or with chatGPT, isn't this incredible?" So you have that marketing moment of everybody realizes that this new capability, this new powerful technology is really available to everybody. Keith Weiss: So, Brian, what do you think are going to be the impacts of this technology on the consumer internet companies that you cover? Brian Nowak: We expect significant change. There is approximately $6 trillion of U.S. consumer expenditure that we think is going to be addressed by change. We see changes across search. We see more personalized search, more complete search. We see increasing uses of chatbots that can drive more accurate, personalized and complete answers in a faster manner across all types of categories. Think about improved e-commerce search helping you find products you would like to buy faster. Think about travel itinerary AI chatbots that create entire travel itineraries for your family. We see the capability for social media to change, better rank ordering and algorithms that determine what paid and organic content to show people at each moment. We see new creator tools, generative AI is going to enable people to make not only static images but more video based images across the entire economy. So people will be able to express themselves in more ways across social media, which will drive more engagement and ultimately more monetization for those social media platforms. We see e-commerce companies being able to better match inventory to people. Long tail inventory that previously perhaps could not find the right person or the right potential buyer will now better be able to be matched to buyers and to wallets. We see the shared economy across rideshare and food delivery also benefiting from this. Again, you're going to have more information to better match drivers to potential riders, restaurants to potential eaters. And down the line we go where we ultimately see artificial intelligence leading to an acceleration in digitization of consumers time, digitization of consumers wallets and all of that was going to bring more dollars online to the consumer internet companies. Brian Nowak: Now that's the consumer side, how do you think about artificial intelligence impacting enterprise in the B2B side? Keith Weiss: Yeah, I think there's a lot of commonalities into what you went through. On one level you talked about search, and what these generative AI technologies are able to do is put the questions that we're asking in context, and that enables a much better search functionality. And it's not just searching the Internet. Think about the searches that you do of your email inbox, and they're not very effective today and it's going to become a lot more effective. But that search can now extend across all the information within your organization that can be pretty powerful. When you talk about the generative capabilities in terms of writing content, we write content all day long, whether it's in emails, whether it's in text messages, and that can be automated and made more efficient and more effective. But also, the Excel formulas that we write in our Excel sheets, the reports that you and I write every day could be really augmented by this generative AI capability. And then there's a whole nother kind of class of capabilities that come in doing jobs better. So if we think about how this changes the landscape for software developers, one of the initial use cases we've seen of generative AI is making software developers much more productive by the models handling a lot of the rote software development, doing the easy stuff. So that software developer could focus his time on the hard problems to be solved in overall software development. So if you think about it holistically, what we've seen in technology trends really over the last two decades, we've seen the cost of computing coming way down, stuff like Public Cloud and the Hyperscalers have taken that compute cost down and that curve continues to come down. The cost of data is coming down, it's more accessible, there's more out of it because we've digitized so much of the economy. And then thirdly, now you're going to see the cost of software development come down as the software developers become more productive and the AI is doing more of that development. So those are all of your input cost in terms of what you do to automate business processes. And at the same time, the capabilities of the software is expanding. Fundamentally, that's what this AI is doing, is expanding the classes and types of work that can be automated with software. So if your input costs are coming way down and your capabilities are coming up, I think the amount of software that's being developed and where it's applied is really going to inflate a lot. It's going to accelerate and you're going to see an explosion of software development. I'm as bullish about the software industry right now as I've been over the past 20 years. Keith Weiss: So one of the things that investors ask me a lot about is the cost side of the equation. These new capabilities are a lot more compute intensive, and is this going to impact the gross margins and the operating margins of the companies that need to deploy this. So, how do you think about that part of the equation, Brian? Brian Nowak: There's likely to be some near-term impact, but we think the impacts are near-term in nature. It is true that the compute intensity and the capital intensity of a lot of these new models is higher than some of the current models that we're using across tech. The compute intensity of the large language models is higher than it is for search, it is higher than it is for a lot of the existing e-commerce or social media platforms that are used. So as we do think that the companies are going to need to invest more in capital expenditure, more in GPUs, which are some of the chips that enable a lot of these new large language models and capabilities to come. But these are more near-term cost headwinds because over the long term, as the companies work with the models, tune the models and train the models, we would expect these leading tech companies to put their efficiency teams in place and actually find ways to optimize the models to get the costs down over time. And when you layer that in with the new revenue opportunities, whether we're talking about incremental search revenue dollars, incremental e-commerce transactions, incremental B2B, SAS like revenue streams from some companies that will be paying more for these services that you spoke about, we think the ROI is going to be positive. So while there is going to likely be some near-term cost pressure across the space, we think it's near-term and to your point, this is a very exciting time within tech because these new capabilities are going to just expand the runway for top line growth for a lot of the companies across the space. Brian Nowak: And this is all very exciting on the consumer side and the business side, but Keith talk to us about sort of some of the uncertainties and sort of some of the factors that need to be ironed out as we continue to push more AI tools across the economy. Keith Weiss: Yeah, there's definitely uncertainties and definitely a risk out there when it comes to these technologies. So if we think about some of the broader risks that we see, these models are trained on the internet. So you have to think about all the data that's out there. Some of that data is good, some of that data is bad, some of that data could introduce biases into the search engines. And then the people using these search engines that are imbued with the AI, depending on how hard they're pushing on the search engines on the prompts, and that's the questions that they're asking the search engines, you could elicit some really strange behavior. And some of that behavior has elicited fears and scared some people, frankly, by what these search engines are bringing back to them. But there's also business model risk. From a software perspective, this is going to be the new user interface of how individual users access software functionality. If you're a software company that's not integrating this soon enough, you're going to be at a real disadvantage. So there's business has to be taken into account. And then there's broader economic risk. We're talking about all the capabilities that this generative AI can now do that these models can now take over. So for the software developer, does this mean there's job risk for software developers? For creative professionals who used to come up with the content on their own, does this mean less jobs for creative professionals? Or you and I? Are these models going to start writing our research reports on a go forward basis? So those are all kind of potential risks that we're thinking about on a go forward basis. Keith Weiss: So, Brian, maybe to wrap up, how do you think about the milestones and sort of the key indicators that you're keeping an eye on for who are going to be the winners and losers as this AI technology pervades everything more fully? Brian Nowak: It's a great question. I would break it into a couple different answers. First, because of the high compute intensity and costs of a lot of these models, we only see a handful of large tech companies likely being able to build these large language models and train them and fully deploy them. So the first thing I would say is look for new large language model applications from big tech being integrated into search, being integrated into e-commerce platforms, being integrated into social media platforms, being integrated into online video platforms. Watch for new large language tools to roll across all of big tech. Secondly, pay attention to your app stores because we expect developers to build a lot of new applications for both businesses and consumers using these large language models. And that is what we think is ultimately going to lead to a lot of these consumer behavior changes and spur a lot of the productivity that you talked about on the business side. Keith Weiss: Outstanding. Brian Nowak: Keith, thanks for taking the time. Keith Weiss: Great speaking with you, Brian. Brian Nowak: As a reminder, if you enjoy Thoughts on the Market, please take a moment to rate and review us on the Apple Podcasts app. It helps more people to find the show.

10 Mar 202311min

Andrew Sheets: A Test for U.S. Growth

Andrew Sheets: A Test for U.S. Growth

While the U.S. has surprised investors with its economic resilience, new labor market and retail sales data could challenge this continued strength.----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, Chief Cross-Asset Strategist 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 Thursday, March 9th at 2 p.m. in London. One of the biggest surprises this year has been the resilience of the U.S. economy. This story faces a key test over the next week, with a large bearing on how investors may think about where we are in the cycle. Investors entered this year downbeat on U.S. growth, with widespread expectations of a recession. A payback in high levels of consumption over the pandemic, and the lagged impact of higher interest rates, were both big drivers of this view. And indeed many traditionally leading indicators of economic activity did, and still do, point to elevated economic risk. Yet the story so far has been different. The U.S. economy is still seeing robust consumption and jobs growth and more economically sensitive stocks have been major outperformers. Last month the U.S. economy added half a million jobs and saw very robust retail sales, data points that were taken by the market as a sign that the economy may not be slowing at all. That might be the case, but what's interesting is that this story is about to get a key update. Over the next week, we'll get the next release of data on the U.S. labor market and retail sales. And that data comes with a big uncertainty. The uncertainty is how much of the strength in January's data was flattered by so-called seasonal adjustments. For obvious reasons, a lot of things are sold in December and a lot of people are hired to sell them. In January, activity and jobs usually drop off, and so seasonal adjustments are important to help look through all this noise. To be more specific, retail sales usually drop 20% between December and January. This time around, they only dropped 16%, and since they dropped less than normal this was reported as a healthy gain. The U.S. usually loses 3 million jobs in January as seasonal workers are let go. This time the U.S. lost two and a half million jobs. December holidays are real and we should adjust for them. But if consumption patterns have changed since 2020, historical seasonal adjustments could be misleading. This month's data may give us a much cleaner picture of where that activity really is. If activity is once again strong, it could help further fuel the idea that U.S. growth this year will be better than feared. But if it's weak, investors may start to think that January's strength was something of a statistical quirk, especially in the face of other forward indicators that look much softer. Because of this, we think weak data over the next couple of days could be especially good for bonds. But either way, this data has a major bearing on the market narrative. 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.

9 Mar 20233min

Chetan Ahya: Is Asia’s Growth Bouncing Back?

Chetan Ahya: Is Asia’s Growth Bouncing Back?

While there is some skepticism that Asia’s growth will outperform this year, there are a few promising indicators that investors may want to keep in mind.----- Transcript -----Welcome to Thoughts on the Market. I'm Chetan Ahya, Chief Asia Economist at Morgan Stanley. Along with my colleagues, bringing you a variety of perspectives, today I'll be discussing how Asia's growth is bouncing back. It's Wednesday, March 8th at 9 a.m. in Hong Kong. The last time I came on this podcast, I spoke about why we expect Asia's growth to outperform in 2023. To briefly recap, we expect Asia's growth to be five percentage points higher than the developed markets by the end of the year. One of the key debates we have with investors is precisely about how the growth outlook is tracking relative to our bullish forecasts. Investors are generally skeptical on two counts. First, for China, investors believe that consumption growth will not be sustained after the initial reopening boost. Second, for region excluding China, investors saw that there was a soft patch in the consumption data for some of the economies, and so they are questioning if this will persist over time and across geographies. For China, we have already seen a sharp rebound in services spending in areas like dining out, domestic travel and hotels. We expect consumption growth to continue to recover towards the pre-COVID strength in a broad-based manner. Crucially, this consumption growth is being supported by the sustainable drivers of job growth and income growth rather than a drawdown in excess savings. Private sector confidence is being revived by the alignment of policies towards a pro-growth stance. This shift in stance also means that policymakers will likely be taking quick and concerted policy action to address any remaining or fresh impediments to growth. In other words, this policy stance is likely to persist at least until we get clear signs of a sustainable recovery. Moreover, the property sector, which some investors fear might be a drag on household sentiment, appears to be recovering faster than our expectations. For region excluding China, we focus on the next largest economies in purchasing power parity terms, which is India and Japan. For India, growth indicators did slow post the festive season in October, but have reaccelerated in early 2023. Cyclically strong trailing demand has only lifted capacity utilization, and structurally government policies are still very much geared towards reviving private investment. We see private CapEx cycle unfolding, which will sustain gains in employment and allow consumption growth to stay strong in the coming quarters. For Japan, we see three reasons why growth should improve in 2023. Monetary policy will remain accommodative, private CapEx is now on the mend and Japan will benefit from the full reopening of China this spring, in form of increased tourism and goods exports. Overall, we think we are still on track for our base case narrative of growth acceleration and outperformance. In fact, we see marginal upside risk to our above consensus growth forecasts, which will be driven predominantly by China and its spillover impact to the rest of the region. For China, the upside to growth forecasts stems from the possibility that pro-growth pragmatism may set in motion a much stronger recovery than currently expected. 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 a colleague today.

8 Mar 20233min

Special Encore: Andrew Sheets - The Impact of High Short-Term Yields

Special Encore: Andrew Sheets - The Impact of High Short-Term Yields

Original Release on February 24th, 2023: As short-term bond yields continue to rise, what impact does this comparatively high yield have on the broader market?----- Transcript -----Welcome to Thoughts on the Market. I'm Andrew Sheets, Chief Cross-Asset Strategist 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, February 24th at 2 p.m. in London. One of the biggest stories brewing in the background of markets is the sharp rise in yields on safe, short-term bonds. A 6 month Treasury bill is a great example. In November of 2021, it yielded just 0.06%. Today, just 14 months later, it yields 5.1%, its highest yield since July of 2007. The rise in safe short-term yields is notable for its speed and severity, as the last 12 months have seen the fastest rise of these yields in over 40 years. But it also has broader investment implications. Higher yields on cash like instruments impact markets in three distinct ways, all of which reduce the incentive for investors to take market exposure. First and most simply, higher short term rates raise the bar for what a traditional investor needs to earn. If one can now get 5% yields holding short term government bonds over the next 12 months, how much more does the stock market, which is significantly more volatile, need to deliver in order to be relatively more appealing? Second, higher yields impact the carry for so-called leveraged investors. There is a significant amount of market activity that's done by investors who buy securities with borrowed money, the rate of which is often driven by short term yields. When short term yields are low, as they've been for much of the last 12 years, this borrowing to buy strategy is attractive. But with U.S. yields now elevated, this type of buyer is less incentivized to hold either U.S. stocks or bonds. Third, higher short term yields drive up the cost of buying assets in another market and hedging them back to your home currency. If you're an investor in, say, Japan, who wants to buy an asset in the U.S. but also wants to remove the risk of a large change in the exchange rate over the next year, the costs of removing that risk will be roughly the difference between 1 year yields in the US and 1 year yields in Japan. As 1 year yields in the U.S. have soared, the cost of this hedging has become a lot more expensive for these global investors, potentially reducing overseas demand for U.S. assets and driving this demand somewhere else. We think a market like Europe may be a relative beneficiary as hedging costs for U.S. assets rise. The fact that U.S. investors are being paid so well to hold cash-like exposure reduces the attractiveness of U.S. stocks and bonds. But this challenge isn't equal globally. Both inflation and the yield on short-term cash are much lower in Asia, which is one of several reasons why we think equities in Asia will outperform other global markets going forward. 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.

7 Mar 20233min

Mike Wilson: A Strong Rebound for Markets

Mike Wilson: A Strong Rebound for Markets

While equity markets continue to rally, the key to the end of the bear market may be in the fundamentals.----- 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, March 6th at 2 p.m. in New York. So let's get after it. Given our focus on the technicals in the short term, I'm going to provide an update on that view today, which contrasts with our intermediate term view that the bear market is not over. In short, equity markets traded right to technical support levels on Thursday last week and held. More importantly, they reacted strongly from those levels, which suggests this will not be a one day wonder, meaning the bear market rally may not be over yet. While my comments will focus on the S&P 500, these observations apply to most of the other major indices as well: the Nasdaq, Russell 2000 and the Dow Industrials, which remains the weakest of the bunch. First, as already mentioned, the key support levels were tested twice over the past few weeks, but on Thursday equity prices reacted strongly around the second test. As a strategist, I respect the price action and need to incorporate it into our fundamental view, which remains bearish. In addition to the strong rebound, the S&P 500 was able to recapture its uptrend from the rally that began in October. However, we did not observe any positive divergence on the second retest, and that leaves the door open that this rally may still be on borrowed time. We would point out that one of the reasons we called the rally in October had to do with the fact that we did get a very strong positive divergence on that secondary low in mid-October. For listeners who don't use technical analysis, a positive divergence is when markets make new price lows on less momentum. We measure momentum through price oscillators like relative strength or moving average convergence divergence. The other thing we're watching closely from a tactical standpoint is the longer term uptrend that began after the financial crisis in 2009. We continue to think it is critical that the S&P 500 get back above it to confirm the cyclical bear market is over. This trend line has provided critical resistance and support over the past 14 years during the secular bull market. More recently, it has been more of a resistance line and that level comes in today at around 4150 on the S&P 500. While we think the S&P 500 could make another attempt at this key resistance, it will require two things to surmount it- lower 10 year U.S. Treasury yields and a weaker dollar. In fact, we think Friday's sharp fall in 10 year yields was an important driver of the bounce in stocks. The dollar, too, showed some signs of exhaustion and it would be helpful if it can decline more meaningfully. As we suggested last week, in the absence of a weaker dollar and lower yields, this bear market rally will likely fail once again. The bottom line, there is plenty of bullish and bearish fodder in the technicals in our view, and one will need to take a view on the fundamentals to decide this bear market for stocks is over. Our view remains the same, the bear market is not over, but we acknowledge that Friday's price action may push out the next leg lower for a few more weeks. As we've been discussing on prior podcasts, the main reason we believe the bear market is not over is because the earnings recession has much further to go. Rather than repeating our case once again, we would like to highlight an important note published last week by Todd Castagno, our Global Valuation, Accounting and Tax team, appropriately entitled Exhausted Earnings. In this note, the team discusses their analysis of accruals and to what extent net income is diverging from cash flows. In short, the gap between reported earnings and cash flow is the widest in 25 years. This analysis supports our negative operating leverage thesis and means earnings estimates have a long way to fall over the next several quarters. Unfortunately, most stock valuations do not reflect this risk and why we think the risk reward for U.S. equities remains poor despite the positive price action last week. 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 Mar 20233min

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