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  • Who’s Disrupting — and Funding — the AI Boom
    Live from Morgan Stanley’s European Tech, Media and Telecom Conference in Barcelona, our roundtable of analysts discusses tech disruptions and datacenter growth, and how Europe factors in.Paul Walsh: Welcome to Thoughts on the Market. I'm Paul Walsh, Morgan Stanley's European Head of Research Product. Today we return to my conversation with Adam Wood. Head of European Technology and Payments, Emmet Kelly, Head of European Telco and Data Centers, and Lee Simpson, Head of European Technology. We were live on stage at Morgan Stanley's 25th TMT Europe conference. We had so much to discuss around the themes of AI enablers, semiconductors, and telcos. So, we are back with a concluding episode on tech disruption and data center investments. It's Thursday the 13th of November at 8am in Barcelona. After speaking with the panel about the U.S. being overweight AI enablers, and the pockets of opportunity in Europe, I wanted to ask them about AI disruption, which has been a key theme here in Europe. I started by asking Adam how he was thinking about this theme. Adam Wood: It’s fascinating to see this year how we've gone in most of those sectors to how positive can GenAI be for these companies? How well are they going to monetize the opportunities? How much are they going to take advantage internally to take their own margins up? To flipping in the second half of the year, mainly to, how disruptive are they going to be? And how on earth are they going to fend off these challenges? Paul Walsh: And I think that speaks to the extent to which, as a theme, this has really, you know, built momentum. Adam Wood: Absolutely. And I mean, look, I think the first point, you know, that you made is absolutely correct – that it's very difficult to disprove this. It's going to take time for that to happen. It's impossible to do in the short term. I think the other issue is that what we've seen is – if we look at the revenues of some of the companies, you know, and huge investments going in there. And investors can clearly see the benefit of GenAI. And so investors are right to ask the question, well, where's the revenue for these businesses? You know, where are we seeing it in info services or in IT services, or in enterprise software. And the reality is today, you know, we're not seeing it. And it's hard for analysts to point to evidence that – well, no, here's the revenue base, here's the benefit that's coming through. And so, investors naturally flip to, well, if there's no benefit, then surely, we should focus on the risk. So, I think we totally understand, you know, why people are focused on the negative side of things today. I think there are differences between the sub-sectors. I mean, I think if we look, you know, at IT services, first of all, from an investor point of view, I think that's been pretty well placed in the losers’ buckets and people are most concerned about that sub-sector… Paul Walsh: Something you and the global team have written a lot about. Adam Wood: Yeah, we've written about, you know, the risk of disruption in that space, the need for those companies to invest, and then the challenges they face. But I mean, if we just keep it very, very simplistic. If Gen AI is a technology that, you know, displaces labor to any extent – companies that have played labor arbitrage and provide labor for the last 20 - 25 years, you know, they're going to have to make changes to their business model. So, I think that's understandable. And they're going to have to demonstrate how they can change and invest and produce a business model that addresses those concerns. I'd probably put info services in the middle. But the challenge in that space is you have real identifiable companies that have emerged, that have a revenue base and that are challenging a subset of the products of those businesses. So again, it's perfectly understandable that investors would worry. In that context, it's not a potential threat on the horizon. It's a real threat that exists today against certainly their businesses. I think software is probably the most interesting. I'd put it in the kind of final bucket where I actually believe… Well, I think first of all, we certainly wouldn't take the view that there's no risk of disruption and things aren't going to change. Clearly that is going to be the case. I think what we'd want to do though is we'd want to continue to use frameworks that we've used historically to think about how software companies differentiate themselves, what the barriers to entry are. We don't think we need to throw all of those things away just because we have GenAI, this new set of capabilities. And I think investors will come back most easily to that space. Paul Walsh: Emett, you talked a little bit there before about the fact that you haven't seen a huge amount of progress or additional insight from the telco space around AI; how AI is diffusing across the space. Do you get any discussions around disruption as it relates to telco space? Emmet Kelly: Very, very little. I think the biggest threat that telcos do see is – it is from the hyperscalers. So, if I look at and separate the B2C market out from the B2B, the telcos are still extremely dominant in the B2C space, clearly. But on the B2B space, the hyperscalers have come in on the cloud side, and if you look at their market share, they're very, very dominant in cloud – certainly from a wholesale perspective. So, if you look at the cloud market shares of the big three hyperscalers in Europe, this number is courtesy of my colleague George Webb. He said it's roughly 85 percent; that's how much they have of the cloud space today. The telcos, what they're doing is they're actually reselling the hyperscale service under the telco brand name. But we don't see much really in terms of the pure kind of AI disruption, but there are concerns definitely within the telco space that the hyperscalers might try and move from the B2B space into the B2C space at some stage. And whether it's through virtual networks, cloudified networks, to try and get into the B2C space that way. Paul Walsh: Understood. And Lee maybe less about disruption, but certainly adoption, some insights from your side around adoption across the tech hardware space? Lee Simpson: Sure. I think, you know, it's always seen that are enabling the AI move, but, but there is adoption inside semis companies as well, and I think I'd point to design flow. So, if you look at the design guys, they're embracing the agentic system thing really quickly and they're putting forward this capability of an agent engineer, so like a digital engineer. And it – I guess we've got to get this right. It is going to enable a faster time to market for the design flow on a chip. So, if you have that design flow time, that time to market. So, you're creating double the value there for the client. Do you share that 50-50 with them? So, the challenge is going to be exactly as Adam was saying, how do you monetize this stuff? So, this is kind of the struggle that we're seeing in adoption. Paul Walsh: And Emmett, let's move to you on data centers. I mean, there are just some incredible numbers that we've seen emerging, as it relates to the hyperscaler investment that we're seeing in building out the infrastructure. I know data centers is something that you have focused tremendously on in your research, bringing our global perspectives together. Obviously, Europe sits within that. And there is a market here in Europe that might be more challenged. But I'm interested to understand how you're thinking about framing the whole data center story? Implications for Europe. Do European companies feed off some of that U.S. hyperscaler CapEx? How should we be thinking about that through the European lens? Emmet Kelly: Yeah, absolutely. So, big question, Paul. What… Paul Walsh: We've got a few minutes! Emmet Kelly: We've got a few minutes. What I would say is there was a great paper that came out from Harvard just two weeks ago, and they were looking at the scale of data center investments in the United States. And clearly the U.S. economy is ticking along very, very nicely at the moment. But this Harvard paper concluded that if you take out data center investments, U.S. economic growth today is actually zero. Paul Walsh: Wow. Emmet Kelly: That is how big the data center investments are. And what we've said in our research very clearly is if you want to build a megawatt of data center capacity that's going to cost you roughly $35 million today. Let's put that number out there. 35 million. Roughly, I'd say 25… Well, 20 to 25 million of that goes into the chips. But what's really interesting is the other remaining $10 million per megawatt, and I like to call that the picks and shovels of data centers; and I'm very convinced there is no bubble in that area whatsoever.So, what's in that area? Firstly, the first building block of a data center is finding a powered land bank. And this is a big thing that private equity is doing at the moment. So, find some real estate that's close to a mass population that's got a good fiber connection. Probably needs a little bit of water, but most importantly needs some power. And the demand for that is still infinite at the moment. Then beyond that, you've got the construction angle and there's a very big shortage of labor today to build the shells of these data centers. Then the third layer is the likes of capital goods, and there are serious supply bottlenecks there as well.And I could go on and on, but roughly that first $10 million, there's no bubble there. I'm very, very sure of that. Paul Walsh: And we conducted some extensive survey work recently as part of your analysis into the global data center market. You've sort of touched on a few of the gating factors that the industry has to contend with. That survey work was done on the operators and the supply chain, as it relates to data center build out. What were the key conclusions from that? Emmet Kelly: Well, the key conclusion was there is a shortage of power for these data centers, and… Paul Walsh: Which I think… Which is a sort of known-known, to some extent. Emmet Kelly: it is a known-known, but it's not just about the availability of power, it's the availability of green power. And it's also the price of power is a very big factor as well because energy is roughly 40 to 45 percent of the operating cost of running a data center. So, it's very, very important. And of course, that's another area where Europe doesn't screen very well. I was looking at statistics just last week on the countries that have got the highest power prices in the world. And unsurprisingly, it came out as UK, Ireland, Germany, and that's three of our big five data center markets. But when I looked at our data center stats at the beginning of the year, to put a bit of context into where we are…Paul Walsh: In Europe… Emmet Kelly: In Europe versus the rest. So, at the end of [20]24, the U.S. data center market had 35 gigawatts of data center capacity. But that grew last year at a clip of 30 percent. China had a data center bank of roughly 22 gigawatts, but that had grown at a rate of just 10 percent. And that was because of the chip issue. And then Europe has capacity, or had capacity at the end of last year, roughly 7 to 8 gigawatts, and that had grown at a rate of 10 percent. Now, the reason for that is because the three big data center markets in Europe are called FLAP-D. So, it's Frankfurt, London, Amsterdam, Paris, and Dublin. We had to put an acronym on it. So, Flap-D. Good news. I'm sitting with the tech guys. They've got even more acronyms than I do, in their sector, so well done them. Lee Simpson: Nothing beats FLAP-D. Paul Walsh: Yes. Emmet Kelly: It’s quite an achievement. But what is interesting is three of the big five markets in Europe are constrained. So, Frankfurt, post the Ukraine conflict. Ireland, because in Ireland, an incredible statistic is data centers are using 25 percent of the Irish power grid. Compared to a global average of 3 percent.Now I'm from Dublin, and data centers are running into conflict with industry, with housing estates. Data centers are using 45 percent of the Dublin grid, 45. So, there's a moratorium in building data centers there. And then Amsterdam has the classic semi moratorium space because it's a small country with a very high population. So, three of our five markets are constrained in Europe. What is interesting is it started with the former Prime Minister Rishi Sunak. The UK has made great strides at attracting data center money and AI capital into the UK and the current Prime Minister continues to do that. So, the UK has definitely gone; moved from the middle lane into the fast lane. And then Macron in France. He hosted an AI summit back in February and he attracted over a 100 billion euros of AI and data center commitments. Paul Walsh: And I think if we added up, as per the research that we published a few months ago, Europe's announced over 350 billion euros, in proposed investments around AI. Emmet Kelly: Yeah, absolutely. It's a good stat. Now where people can get a little bit cynical is they can say a couple of things. Firstly, it's now over a year since the Mario Draghi report came out. And what's changed since? Absolutely nothing, unfortunately. And secondly, when I look at powering AI, I like to compare Europe to what's happening in the United States. I mean, the U.S. is giving access to nuclear power to AI. It started with the three Mile Island… Paul Walsh: Yeah. The nuclear renaissance is… Emmet Kelly: Nuclear Renaissance is absolutely huge. Now, what's underappreciated is actually Europe has got a massive nuclear power bank. It's right up there. But unfortunately, we're decommissioning some of our nuclear power around Europe, so we're going the wrong way from that perspective. Whereas President Trump is opening up the nuclear power to AI tech companies and data centers. Then over in the States we also have gas and turbines. That's a very, very big growth area and we're not quite on top of that here in Europe. So, looking at this year, I have a feeling that the Americans will probably increase their data center capacity somewhere between – it's incredible – somewhere between 35 and 50 percent. And I think in Europe we're probably looking at something like 10 percent again. Paul Walsh: Okay. Understood. Emmet Kelly: So, we're growing in Europe, but we're way, way behind as a starting point. And it feels like the others are pulling away. The other big change I'd highlight is the Chinese are really going to accelerate their data center growth this year as well. They've got their act together and you'll see them heading probably towards 30 gigs of capacity by the end of next year. Paul Walsh: Alright, we're out of time. The TMT Edge is alive and kicking in Europe. I want to thank Emmett, Lee and Adam for their time and I just want to wish everybody a great day today. Thank you.(Applause) That was my conversation with Adam, Emmett and Lee. Many thanks again to them. Many thanks again to them for telling us about the latest in their areas of research and to the live audience for hearing us out. And a thanks to you as well for listening. Let us know what you think about this and other episodes by living us a review wherever you get your podcasts. And if you enjoy listening to Thoughts on the Market, please tell a friend or colleague about the podcast today.
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  • 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.
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  • Crypto Goes Mainstream
    Our Research and Investment Management analysts Michael Cyprys and Denny Galindo discuss how and why cryptocurrencies are transitioning from niche speculation to portfolio staples. Read more insights from Morgan Stanley.----- Transcript -----Michael Cyprys: Welcome to Thoughts on the Market. I'm Mike Cyprys, Head of U.S. Brokers, Asset Managers and Exchanges for Morgan Stanley Research.Denny Galindo: And I'm Denny Galindo, Investment Strategist for Morgan Stanley Wealth Management.Michael Cyprys: Today we break down the forces making crypto more accessible and what this shift means for investors everywhere.It's Tuesday, November 11th at 10am in New York.We've seen cryptocurrencies move from the fringes of finance to being considered a legitimate part of mainstream asset allocation. Financial platforms, especially those serving institutional clients, are starting to integrate crypto more than ever.Denny, you've written extensively about the crypto market for some time now among your many jobs here at Morgan Stanley. So, from your perspective in wealth management, what are you hearing from retail clients about their growing interest in crypto?Denny Galindo: Yeah, we actually started writing about crypto back in 2017. We had our first explainer deck, and we started writing extensive educational reports in 2021. So, we've covered it for a while.Advisors who dabble in crypto typically had this one client. He asked a lot of questions about when they could do more. We also had some clients who were curious, maybe their neighbor made a lot of money, bought a new boat and they were like wondering, you know, what is this Bitcoin thing?Now, this year we've seen a sea change. I think it was the election really started it; the Genius Act, and some of the legislation also kind of added to it. Almost all this interest is really on Bitcoin only, although we also have gotten a decent amount of interest about stablecoins and how those might impact things. But it's really just the beginning and I think it's an area that's; it's not going to go away.Mike, on the institutional side, what trends are you seeing among asset managers and brokers in terms of crypto adoption integration?Michael Cyprys: So, we've seen a big move into the ETF space as large money managers make crypto easier to access for both retail and institutional investors. Now this comes on the back of the SEC approving the first spot Bitcoin and Ethereum ETFs back in 2024. And since then, we've seen firms from BlackRock to Fidelity, Franklin, Invesco, and many others, including crypto native firms having launched spot Bitcoin ETFs and spot Ethereum ETFs. And these steps in the minds of many investors have legitimized crypto as an investible asset class.Most recently, we've seen the SEC adopt generic ETF listing standards for crypto ETFs that can make it easier to accelerate ETF launches in reduced regulatory frictions. And today the crypto ETF space is about $200 billion of assets under management and saw inflows of over [$]40 billion last year, over [$]45 billion so far this year – despite some of the near-term volatility. And most of the asset class today is in Bitcoin, single token ETFs, with BlackRock and Fidelity managing the largest ETFs in the space.Speaking of products, what types of crypto are retail investors most curious about? And why do those particular ones make sense for their portfolios?Denny Galindo: Yeah, I think you hit the nail on the head. The most popular products are really the Bitcoin products. We as a firm allowed solicitation in Bitcoin ETPs more than a year ago in brokerage accounts. We just expanded them to allow them in Advisory in October. So, we're still early days here. There really hasn't been that much interest in the other crypto products.Now when people think about this, there's three buckets here. There are some people that think of it like digital gold. And they're worried about inflation. They're worried about government deficits. And that's kind of the angle that they're approaching crypto from. A second group think of it like a venture capital, like a disruptive innovation in tech that's going after this big addressable market. And, you know, hopefully the penetration will rise in the future. And then the third bucket is really thinking [of it] out it as a diversifier. So, they're saying, ‘Hey, this thing is volatile. It doesn't match stocks, bonds, other assets. And so, I kind of want to use it for diversification.’Now, Mike, when you have these discussions with institutional clients, how do they view the risk and potential of these different cryptocurrencies?Michael Cyprys: What's interesting with the crypto space is adoption started on the retail side with institutions now slowly beginning to explore allocations. And that's the opposite of what we've seen historically with institutions leaning in ahead of retail in areas, whether it's commodities or private markets. But it's still early days.On the institutional side, we're starting to see some pensions, endowments, foundations begin to make some small allocations to Bitcoin as a long-term inflation hedge. But keep in mind, institutions tend to make investments in the context of strategic asset allocations, often with a broader macro framework.Denny, you've written quite a bit about the four-year crypto cycle. Could you explain what that is and where you think we are in the current crypto cycle?Denny Galindo: Yeah, if you look at the data, you see a pretty clear trend of a four-year cycle. So, there's three up years and one down year, and it's been like clockwork, since Bitcoin was invented.Now when you see something like that, you always try to explain like: why is this happening? So, there's two kind of dominant explanations that we've seen. So, one's macro, one's micro. Now the macro version for crypto is really the M2 cycle. So, we see that M2 to that global M2 money supply has kind of accelerated and decelerated in four-year cycles, and Bitcoin tends to really match that cycle. It tends to accelerate when M2's accelerating and it tends to decline when it's decelerating or declining.But there's also this bottoms-up way of looking at it, and commodities are really the place we go to for that analysis. So, a lot of commodities, you know, could be coffee, could be oil – if something disrupts supply, you tend to get the shortage, you get the price moving up.Then you get commodity speculators piling in, adding leverage. And it'll just kind of go parabolic. At some point something pops the bubble, usually more supply, and then you get like a great depression. You get like an 80 percent draw down. All the leverage comes out and the whole thing crashes. So crypto has also followed that.Now, we break the four-year cycle into four seasons: spring, summer, fall, and winter. And each season has a different characteristic about which parts of the market work, which don't work, what things look like. We are in the fall season right now. And that tends to last about a year. We wrote a note last year on this. Fall is the time for harvest. So, it's the time you want to take your gains.But the debate is, you know, how long will this fall last? When will the next winter start? Or maybe this pattern won't even hold in the future. And so, this is the big debate in the crypto circles these days.And Mike, given the volatility, given the great depressions we talked about in Bitcoin with these, you know, 70-80 percent drawdowns, how do you see it fitting into institutional portfolios compared to other cryptocurrencies?Michael Cyprys: Compared to other cryptocurrencies, Bitcoin is still viewed as the flagship asset within the crypto space – just given higher adoption, greater liquidity, the sheer market value. It has longer history and better regulatory clarity as compared to other tokens. But given the volatility as you mentioned, and the early days nature of cryptocurrencies, adoption is still quite nascent amongst institutional investors.Some institutional investors view Bitcoin as digital gold or macro hedge against inflation and monetary debasement. It's also sometimes viewed as a low correlation diversifier within multi-asset portfolios. But even that's also been a debate in the marketplace too.As we look forward from here, crypto adoption within institutional portfolios could potentially expand as regulatory clarity establishes a clear framework for digital assets, right? We had the Genius Act recently that focused on stablecoins. Next up is market structure. There's a bill working its way through Congress.We've also had developments on the ETF side that lower[s] barriers for institutions to gain exposure there. Not only is it more accessible within traditional portfolios, but the ETF fits nicely into day-to-day workflow.So, bottom line is institutional views on Bitcoin and crypto are evolving, and how firms view Bitcoin – we think will depend upon the institution's objectives, their risk tolerance and portfolio context. And keep in mind that institutional allocations don't turn on a dime. They tend to be slower moving.Denny, do retail clients take a similar approach or are they more likely to take bigger bets?Denny Galindo: Our clients struggle with this question. And so, we get a lot of questions like, ‘Okay, I don't want to miss this. I'm a little nervous about it. What allocation should I use here?’ And so, we go back to our three, kind of, typical investors when we try to answer this question. We really try and help people figure out where is equal weight.So, we wrote a note in February called “Are you Underweight Bitcoin?” And we have three different answers depending on how you're thinking of it. And, you know, there's a big debate. There's no clear answer. And that's not really where we want our clients. We want them to be smaller where they can have some exposure if they want it. Not everyone wants it, but if you do want it, you can have it. And it won't really dominate the volatility of the portfolio.Now, on another note, Mike, are you seeing legacy platforms start to offer crypto as well?Michael Cyprys: So crypto ETFs are generally available in self-directed brokerage accounts across the industry today. Schwab, for example, commented that their customers hold $25 billion in crypto ETFs, which is about, call it 20 percent share of the ETF space. But access to these crypto ETFs is a bit more restricted within the Advisor-led channel. But we're starting to see that broaden out for ETFs and eventually might see model portfolios with allocations toward crypto ETFs.But when you look at spot crypto trading, though, that generally remains out of reach of most legacy platforms. The key hurdle for that has been regulatory clarity and with a more crypto friendly administration that is changing here.So, Schwab, for example, acknowledged that they have the regulatory clarity needed and they're working towards launching their spot crypto trading platform in the first half of next year.On that topic, Denny, how do you view the merits of holding crypto directly versus through an exchange-traded product like ETFs?Denny Galindo: Yeah, I mean, our clients are mostly not day trading this product and kind of moving it back and forth.So, the ETPs have been a pretty good answer for them. The one issue is liquidity. And so, we're not used to thinking of this in; the U.S. equity markets are the most liquid markets. But in crypto, the crypto markets, the spot markets are actually more liquid than the equity markets.So, you get a lot of liquidity even after hours, even 24x7. And as other markets around the world kind of take the lead. But most of our investors aren't treating it that way. They're not day trading it, and they're really keeping it more like that digital gold allocation. And so, they just need to adjust the position size, you know, once a month, once a year maybe; just kind of buy and hold.But I wonder, you know, as more people get more comfortable, it could become more important in the future. So, it's an open question, but for now, the ETPs have been a pretty good answer here.Michael Cyprys: Fascinating space. Denny, thanks so much for taking the time to talk.Denny Galindo: It was great speaking with you, Mike.Michael Cyprys: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today. No investment recommendation is made with respect to any of the ETFs referenced herein. Investors should not rely on the information included in making investment decisions with respect to those funds.
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  • Relief and Volatility Ahead for U.S. Stocks
    Our CIO and Chief U.S. Equity Strategist Mike Wilson unpacks why stocks are likely to stay resilient despite uncertainties related to Fed rates, government shutdown and tariffs.Read more insights from Morgan Stanley.----- Transcript -----Welcome to Thoughts on the Market. I'm Mike Wilson, Morgan Stanley’s CIO and Chief U.S. Equity Strategist. Today on the podcast, I’ll be discussing recent concerns for equities and how that may be changing. It's Monday, November 10th at 11:30am in New York. So, let’s get after it.We’re right in the middle of earnings season. Under the surface, there may appear to be high dispersion. But we’re actually seeing positive developments for a broadening in growth. Specifically, the median stock is seeing its best earnings growth in four years. And the S&P 500 revenue beat rate is running 2 times its historical average. These are clear signs that the earning recovery is broadening and that pricing power is firming to offset tariffs. We’re also watching out for other predictors of soft spots. And over the past week, the seasonal weakness in earnings revision breath appears to be over. For reference, this measure troughed at 6 percent on October 21st, and is now at 11 percent. The improvement is being led by Software, Transports, Energy, Autos and Healthcare. Despite this improvement in earnings revisions, the overall market traded heavy last week on the back of two other risks. The first risk relates to the Fed's less dovish bias at October's FOMC meeting. The Fed suggested they are not on a preset course to cut rates again in December. So, it’s not a coincidence the U.S. equity market topped on the day of this meeting. Meanwhile investors are also keeping an eye on the growth data during the third quarter. If it’s stronger than anticipated, it could mean there’s less dovish action from the Fed than the market expects or needs for high prices.I have been highlighting a less dovish Fed as a risk for stocks. But it’s important to point out that the labor market is also showing increasing signs of weakness. Part of this is directly related to the government shutdown. But the private labor data clearly illustrates a jobs market that's slowing beyond just government jobs. This is creating some tension in the markets – that the Fed will be late to cut rates, which increases the risk the recovery since April falls flat. In my view, labor market weakness coupled with the administration's desire to "run it hot" means that ultimately the Fed is likely to deliver more dovish policy than the market currently expects. But, without official jobs data confirming this trend, the Fed is moving slower than the equity market may like. The other risk the market has been focused on is the government shutdown itself. And there appears to be two main channels through which these variables are affecting stock prices. The first is tighter liquidity as reflected in the recent decline in bank reserves. The government shutdown has resulted in fewer disbursements to government employees and other programs. Once the government shutdown ends which appears imminent, these payments will resume, which translates into an easing of liquidity.The second impact of the shutdown is weaker consumer spending due to a large number of workers furloughed and benefits, like SNAP, halted. As a result, Consumer Discretionary company earnings revisions have rolled over. The good news is that the shutdown may be coming to an end and alleviate these market concerns. Finally, tariffs are facing an upcoming Supreme Court decision. There were questions last week on how affected stocks were reacting to this development. Overall, we saw fairly muted relative price reactions from the stocks that would be most affected. We think this relates to a couple of variables. First, the Trump administration could leverage a number of other authorities to replace the existing tariffs. Second, even in a scenario where the Supreme Court overturns tariffs, refunds are likely to take a significant amount of time, potentially well into 2026.So what does all of this all mean? Weak earnings seasonality is coming to an end along with the government shutdown. Both of these factors should lead to some relief in what have been softer equity markets more recently. But we expect volatility to persist until the Fed fully commits to the run it hot strategy of the administration. Thanks for tuning in; I hope you found it informative and useful. Let us know what you think by leaving us a review. And if you find Thoughts on the Market worthwhile, tell a friend or colleague to try it out!
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  • Fed’s Path Uncertain as Key Data Lags
    Our Chief U.S. Economist Michael Gapen and Global Head of Macro Strategy Matthew Hornbach discuss potential next steps for the FOMC and the risks to their views from the U.S. government shutdown. Read more insights from Morgan Stanley.----- Transcript -----Matthew Hornbach: Welcome to Thoughts on the Market. I'm Matthew Hornbach, Global Head of Macro Strategy.Michael Gapen: And I'm Michael Gapen, Morgan Stanley's Chief U.S. Economist.Matthew Hornbach: The October FOMC meeting delivered a quarter percent rate cut as widely expected – but things are more complicated, and policy is not on a preset path from here.It's Friday, November 7th at 10am in New York.So, Mike, the Fed did cut by 25 basis points in October, but it was not a unanimous decision. And the Federal Open Market Committee decided to end the reduction of its balance sheet on December 1st – earlier than we expected. How did things unfold and does this change your outlook in any way?Michael Gapen: Yeah, Matt, it was a surprise to me. Not so much the statement or the decision, but there were dissents. There was a dissent in favor of a 50-basis point cut. There was a dissent in favor of no cut. And that foreshadowed the press conference – where really the conversation was about, I think, a divided committee; and a committee that didn't have a lot of consensus on what would come next.The balance sheet discussion, which we can get into, it came a little sooner than we thought, but it was largely in line with our view. And I'm not sure it's a macro critical decision right now. But I do think it was a surprise to markets and it was certainly a surprise to me – how much Powell's tone shifted between September and October, in terms of what the market could expect from the Fed going forward.So, what he said in essence, the key points, you know. The policy's not on a preset path from here. Or [a] cut in December is maybe not decidedly part of the baseline; or certainly is not a foregone conclusion. And I think what that reflects is a couple of things.One is that they're recalibrating policy based on a risk management view. So, you can cut almost independent of the data, at least in the beginning. And so now I think Powell's saying, ‘Well, at least from here, future cuts are probably more data dependent than those initial cuts.’ But second, and I think most importantly is the division that appeared within the Fed. I think there's one group that's hawkish, one group that's dovish, and I think it reflects the division and the tension that we have in the economic data.So, I think the hawkish crowd is looking at strong activity data, strong AI spending, an upper income consumer that seems to be doing just fine. And they're saying, ‘Why are we cutting? Financial conditions for the business community is pretty easy. Maybe the neutral rate of interest is higher. We're probably less restrictive than you think.’ And then I think the other side of the committee, which I believe still that Chair Powell is in, is looking at a market slowdown in hiring a weak labor market. What that means for growth in real income for those households that depend on labor market income to consume; there's probably some front running of autos that artificially boosted growth in the third quarter.So, I think that the dissents, or I should say the division within the FOMC, I think reflects the tension in the underlying data. So, to know which way monetary policy evolves, Matt, it's essentially trying to decide: does the labor market rebound towards the activity data or does the activity data decelerate at least temporarily to the labor market?Matthew Hornbach: Mike, you talked a lot about data just now, and we're not exactly getting a lot of government data at the moment. How are you thinking about the path for the data in terms of its availability between now and the December FOMC meeting? And how do you think that may affect the Fed's willingness to move forward with another rate cut in the cycle?Michael Gapen: Right. So that's key and critical to understanding, right? We're operating under the assumption, of course the federal government shutdowns going to end at some point. We're going to get all this back data released and we can assess where the economy is or has been. I think the way markets should think about this is if the government shutdown has ended in the next few weeks, say before Thanksgiving – then I think we, markets, the Fed will have the bulk of the data in front of them and available to assess the economy at the December FOMC meeting.They may not have it all, but they should get at least some of that data released. We can assess it. If the economy has moderated and weakened a bit, the labor market has continued to cool, the Fed can cut. If it shows maybe the labor market rebounding downside risk to employment being diminished, maybe the Fed doesn't cut.So that's a world and it is our expectation the shutdown should end in the next few weeks. We're already at the longest shutdown on record, so we will get some data in hand to make the decision for December. Perhaps that's wishful thinking, Matt, and maybe we go beyond Thanksgiving, and the shutdown extends into December.My suspicion though, is if the government is still shut down in December, I can't imagine the economy's getting better. So, I think the Fed could lean in the direction of taking one more step.Matthew Hornbach: This is going to be very critical for how the markets think about the outlook in 2026 and price the outlook for 2026. The last FOMC meeting of the year has that type of importance for markets – pricing, the path of Fed policy, and the path of the economy into 2026. Because if we end up receiving a rate cut from the Fed, the dialogue in the investment community will be focused on when might the next cut arrive. Versus if we don't get that rate cut in December, the dialogue will focus on, maybe we will never see another rate cut in the cycle. And what if we see a rate hike as we make our way through the second half of 2026? So that can have a dramatic impact on the U.S. Treasury market and how investors think about the outlook for policy and the economy.Michael Gapen: So, I think that's right. And as you know, our baseline outlook is at least through the first quarter, if not into the second quarter. The private sector will still be attempting to pass through tariffs into prices. And I think in the meantime, demand for labor and the hiring rate will remain low.And so, we look for additional labor market slack to build. Not a lot, but the unemployment rate moving to more like 4.6, maybe 4.7 – and that underpins our expectation the Fed will be reducing rates in in 2026. But I think as you note, and as I mentioned earlier, there is this tension in the data and it's not inconceivable that the labor market accelerates. And you get, kind of, an animal spirits driven 2026; where a combination of momentum in the data, AI-related business spending, wealth effects for upper income consumers and maybe a larger fiscal stimulus from the One Big Beautiful Bill Act, lead the economy to outperform.And to your point, if that is happening, it's not farfetched to think, well, if the Fed put in risk management insurance cuts, perhaps they need to take those out. And that could build in a way where that expectation, let's say towards the second half or the fourth quarter maybe of 2026, maybe it takes into 2027. But I agree with you that if the Fed can't cut in December because the economy's doing well and the data show that, and we learn more of that in 2026, you're right.So, it would… And may maybe to put it more simply, the more the Fed cuts, the more you need to open both sides of the rate path distribution, right? The deeper they cut, the greater the probability over time, they're going to have to raise those rates. And so, if the Fed is forced to stop in December, yeah, you can make that argument.Matthew Hornbach: Indeed, a lot of the factors that you mentioned are factors that are coming up in investor conversations increasingly. The way I've been framing it in my discussions is that investors want to see the glass as half full today, versus in the middle of this year the glass was looking half empty. And of course, as we head into the holiday season, the glass will be filled with something perhaps a bit tastier than water. And so…Michael Gapen: Fill my glass please.Matthew Hornbach: Indeed. So, I do think that we could be setting up for a bright 2026 ahead. And so, with that, Mike, look forward to seeing you again in December – with a glass of eggnog perhaps. And a decision in hand for the meeting that the Fed holds then. Thanks for taking the time to talk.Michael Gapen: Great speaking with you, Matt.Matthew Hornbach: And thanks for listening. If you enjoy Thoughts on the Market, please leave us a review wherever you listen and share the podcast with a friend or colleague today.
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