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Thoughts on the Market

Thoughts on the Market

By: Morgan Stanley
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Short, thoughtful and regular takes on recent events in the markets from a variety of perspectives and voices within Morgan Stanley.

© Morgan Stanley & Co. LLC Economics Personal Finance
Episodes
  • AI’s $3 Trillion Question: How to Pay the Bill?

    AI’s $3 Trillion Question: How to Pay the Bill?
    Mar 6 2026
    In the second of our two-part panel discussion from Morgan Stanley’s TMT conference, our analysts break down the complexity of financing AI’s infrastructure and the technological disruption happening across industries.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome back to Thoughts on the Market, and welcome to part two of our conversation live from the Technology, Media and Telecom conference. I'm Michelle Weaver, U.S. Thematic and Equity Strategist at Morgan Stanley. Today we're continuing our conversation with Stephen Byrd, Josh Baer and Lindsay Tyler. This time looking at financing AI and some of the risks to the story. It's Friday, March 6th at 11am in San Francisco. So yesterday we spoke about AI adoption. And while there's a lot of excitement on this theme, there've also been some concerns bubbling up. Lindsay, I want to start with you around financing. That's another critical component of the AI build out. What's your latest on the magnitude of the data center financing gap, and what role [are] credit markets playing here? Lindsay Tyler: Yeah, in partnership with Thematic Research, Stephen and team, and colleagues across fixed income research last summer, we did put out a note, thinking about the data center financing gap, right? So, Stephen and team modeled a $3 trillion global data center CapEx need over a four-year timeframe. So, in partnership with fixed income across asset classes, we thought: okay, how will that really be funded? And we came to the conclusion that the hyperscalers, the high quality hyperscalers, generate a good amount of cash flow, right? So, there's cash from ops that can fund approximately half of that. But then we think that fixed income markets are critical to fund the rest of the funding gap. And really private credit is the leader in that and then aided by corporate credit and also securitized credit. What we've seen since is that yes, private credit has served a role. There is this difference between private credit 1.0, which is more of that middle market direct lending. And then private credit 2.0, which is more ABF – Asset Based Finance or Asset Backed Finance. And what we see there is an interest in leases of hyperscaler tenants, right? We've also seen in the market over the past nine months or so, investment grade bond issuance by hyperscalers. Obviously, a use of cash flow by hyperscalers. We've seen the construction loans with banks and also private credit per reports. We've also seen high yield bond issuance, which is kind of a new trend for construction financing. We've seen ABS and CMBS as well. And then something new that's emerging in focus for investors is more of a chip-backed or compute contract backed financings, like more creative solutions. We're really in early innings of the spend right now. And so, there is this shift. As we start to work through the construction early phases, the next focus is: okay, but what about the chips? And so, I think a big focus is that, you know, chips are more than 50 percent of the spend for if you're looking at a gigawatt site. And it depends what type of chips and kind of what generation. But that's the next leg of this too. So, it's kind of a focus, you know, for 2026. Michelle Weaver: And how do you view balance sheet leverage and financing when you think about hyperscaler debt raising magnitude and timelines? Lindsay Tyler: So just to bring it down to more of a basic level, if you need compute, you really might need two things, right? A powered shell and then the chips. And so, if you're looking for that compute, you could kind of go in three basic ways. You could look to build the shell and kind of build and buy the whole thing. You could lease the shell, from, you know, a developer, maybe a Bitcoin miner too – that is converted to HBC. And then you kind of buy the chips and you put them in yourselves. Or you could lease all the compute; quote unquote lease, it's more of a contract. In terms of the funding, if you're thinking about the cash flows of some of the big companies – think of that as primarily being put towards chip spend. If you're thinking about the construction that's kind of split between cash CapEx but also leases. And so, what we've seen is that there is more than [$]600 billion of un-commenced lease obligations that will commence over the next two to five years, across the big four or five players. And then my equity counterparts estimate around [$]700 billion of cash CapEx that needs this year for some of those players as well. So, these are big numbers. But that's kind of how, at a basic level, they're approaching some of the financing. It's a split approach. Michelle Weaver: And what have you learned around financing the past few days at the conference? Anything incremental to share there? Lindsay Tyler: Sure. Yeah. I think I found confirmation of some key themes here at the conference. The first being that ...
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    14 mins
  • AI’s Tangible Wins and Disruption

    AI’s Tangible Wins and Disruption
    Mar 6 2026
    Live from Morgan Stanley’s TMT conference, our panel break down where AI is already delivering real returns—and where rapid advances are raising new risks.Read more insights from Morgan Stanley.----- Transcript -----Michelle Weaver: Welcome to Thoughts on the Market. I'm Michelle Weaver, U.S. Thematic and Equity Strategist here at Morgan Stanley.Today we've got a special episode on AI adoption. And this is a first in a two-part conversation live from our Technology, Media and Telecom conference.It's Thursday, March 5th at 11am in San Francisco.We're really excited to be here with all of you taping live. And we've got on stage with me. Stephen Byrd, he's our Global Head of Thematic and Sustainability Research; Josh Baer, Software Analyst; and Lindsay Tyler, TMT Credit Research Analyst.So, Stephen, I want to start with you, pretty broad, pretty high level. We recently published our fifth AI Mapping Survey that identifies how different companies are exposed to the broad AI theme. Can you just share with us some insights from that piece and how stocks are performing with this AI exposure?Stephen Byrd: Yeah, it's interesting. I mean, we've been doing this survey now, thanks to you, Michelle, and your excellent work, for quite a while. And every six months it is pretty telling to see the progression.I would say a few things that got my attention from our most recent mapping was the number of companies that are quantifying the adoption benefits continues to go up quite a bit. And to me that feels like that's going to be table stakes very soon as in every industry you see two or three companies that are really laying out quite specifically what they expect to be able to do with AI and lay out the math. I think that really is going to pull all the other companies to follow suit. So, we're seeing that in a big way.We do see adopters, with real tangible benefits performing well. But a new thing that we're seeing now, of course, in the market is concerns that in some cases adoption can lead to dramatic deflation, disruption, et cetera. That's coming up as well. So, we're seeing greater concerns around disruption as well.But broadly, I'd say a proliferation of adoption, that that universe of companies continues to grow, increases in quantification of the benefits. So, that is good. What's really surprised me though, is the narrative among investors has so quickly moved from those benefits which we've talked about into flipping that to toggle all negative, which I know some of our analysts have to deal with every day. The mapping work suggests significant benefits. But the market is fast forwarding to very powerful AI that is very disruptive in deflation. And that's been a surprise to me.Michelle Weaver: Mm-hmm. Josh, I want to bring software into this. Your team has been arguing that AI is actually good for software. And it's really something that you need that application layer to then enable other companies to adopt AI. Can you tell us a little bit about how much GenAI could add to the broader enterprise software market? And how are you thinking about monetization these days?Josh Baer: Of course. I think the best starting place is a reminder that AI is software, and so we see software as a TAM expander. And in many ways, even though this is extremely exciting innovation, it's following past innovation trends where first you see value accrue and market cap accrue to semiconductors, and then hardware and devices, and then eventually software and services. And we do think that that absolutely will occur just given [$]3 trillion in infrastructure investment into data centers and GPUs.There's got to be an application layer that brings all of these productivity and efficiency gains to enterprises and advanced capabilities to consumers as well. And so we see AI more as an evolution for software than a revolution. An evolution of capabilities and expansion of capabilities. LLMs and diffusion engines absolutely unlocked all of these new features of what software can do. But incumbents will play a key role in this unlock.And our CIO surveys really support that. Quarterly we ask chief information officers about their spending intentions, and these application vendors who we cover in the public markets are increasingly selected as vendors that companies will go to, to help deploy and apply AI and LLM technologies.So, to answer your question, we estimate GenAI could unlock [$]400 billion in incremental TAM for software; for enterprise software by 2028. And this is based on looking at the type of work able to be automated, the labor costs associated with that work, the scope of automation, and then thinking about how much of that value is captured typically by software vendors.Michelle Weaver: And you have a bit of a different lens on AI adoption. So, what are some of the ways you're hearing software customers using these AI tools and anything interesting that popped up at the conference?Josh Baer: To echo what Stephen ...
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    13 mins
  • Pricing the Conflict With Iran

    Pricing the Conflict With Iran
    Mar 4 2026
    Our Deputy Global Head of Research Michael Zezas and Head of Public Policy Research Ariana Salvatore assess the potential market outcomes of the Middle East conflict, weighing its possible duration and economic impact.Read more insights from Morgan Stanley.----- Transcript -----Michael Zezas: Welcome to Thoughts on the Market. I'm Michael Zezas, Morgan Stanley's Deputy Global Head of Research. Ariana Salvatore: And I'm Ariana Salvatore, Head of Public Policy Research. Michael Zezas: Today we're discussing the escalating U.S.-Iran conflict, the market reaction, and what investors should be watching for next. It's Wednesday, March 4th at 7:30am in San Francisco. Ariana Salvatore: And 10:30am in New York. Michael Zezas: So, Ariana, I'm in San Francisco at Morgan Stanley's TMT Conference, but obviously events in the Middle East have captured everyone's attention. There's uncertainty around the conflict and really important questions about how it affects all of us. And of course, markets have to discount all sorts of future uncertainty about very specific impacts – to financial asset prices, to commodity prices – and really look at it through that narrow lens.And so, Ariana, the administration has suggested that this conflict and this campaign could last a few weeks. But also it said it could continue as long as it takes. So, what are the clearest signals investors should watch for to gauge duration? Ariana Salvatore: For now, we're focused on three main indicators. First, I would say, and most important, is clarity around the objectives. The president and others in the administration have referenced things like eliminating Iran's missile arsenal, its navy and limiting proxy activity. Those goals are broader than the earlier focus on just the nuclear programs. Each objective, of course, implies a different timeline. A narrower objective likely means a shorter engagement. Broader ambitions, conversely, would extend it. So that's the first thing. Second, obviously extremely important is traffic through the Strait of Hormuz. We'd viewed a full closure as unlikely, given the economic consequences for Iran itself. But tanker flows have at least temporarily fallen close to zero, and that's significant because production across the region has not been impaired. This is not about oil fields going offline. It's about whether or not oil can actually move. If shipping lanes normalize within weeks, markets can recalibrate. However, if flows remain materially curtailed beyond five weeks, the risks rise meaningfully. Third, the frequency of strikes and proxy activity. Sustained or escalating engagement would suggest a longer conflict. Signs of diplomacy, on the other hand, might indicate de-escalation. Michael Zezas: Right. So, let's build on that and talk about oil. And our colleague, Martijn Rats has really laid this out with a lot of different scenarios. But what we're seeing right now is that when it comes to oil, this is really a shock to the transport of it, not necessarily a shock to its production. So, oil supply exists. The question is really – can it be delivered or not? So, if tanker flows normalize and the geopolitical risk premium fades, what Martijn is saying is that global oil prices could move back towards $60 to $65 a barrel. If the logistical disruption lasts four to five weeks, then prices maybe trade in the $75 to $80 range. And if disruption extends beyond five weeks and flows are materially constrained, then you could see a situation where oil prices have to rise towards $120 or $130 a barrel. And at that level, demand destruction is what becomes the balancing mechanism in setting price for oil. So, one signal to watch is longer dated oil prices. Early month contracts can spike during geopolitical stress, but a sustained move materially above $80 to $85 [per] barrel would likely require longer dated prices to move higher as well. And that might signal that markets believe the disruption is persistent and not temporary. Ariana, what about natural gas here? How does gas situation fit into the energy story? Ariana Salvatore: As of this recording, Qatar has halted liquified natural gas production putting roughly 20 percent of global supply at risk. Prices have, as you might expect, risen sharply, which likely reflects expectations of a relatively short disruption. If exports were to resume quickly, prices could retrace. But, of course, if the outage lasts longer, prices could move meaningfully higher. Again, duration of the conflict is really critical here. Michael Zezas: So, let's bring this back to the U.S. Ariana, how does this conflict feed into the domestic, political and economic backdrop? Ariana Salvatore: When we're thinking about the midterm elections later this year, the way we see it, the clearest transmission channel is gasoline prices. Polling shows a majority of Americans oppose military action related to Iran, but voters typically prioritize domestic ...
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    8 mins
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