Thoughts on the Market

3 Policy Catalysts to Watch This Fall

Thoughts on the Market

Show Notes

Midterm elections, backlash against data centers and a U.S.-China summit. Michael Zezas and Ariana Salvatore discuss themes that could test investor confidence in the coming months. Read more insights from Morgan Stanley.

----- Transcript -----

Michael Zezas: Welcome to Thoughts on the Market. I'm Michael Zezas, Deputy Global Head of Research for Morgan Stanley. Ariana Salvatore: And I'm Ariana Salvatore, Head of Public Policy Research. Michael Zezas: Today, we'll look ahead to public policy catalysts that matter for investors this fall. It's Wednesday, September 2nd at 10:30am in New York. Okay, Ariana, there's a few days left in the summer, and investors are already starting to think about what's going to happen this fall. And there's a pretty heavy calendar; everything from midterm elections to some pretty important diplomatic dates. High level, what do you think people need to focus on? Ariana Salvatore: So, I'll start with probably the most consequential catalyst of the list that you mentioned, and that's the midterm elections. Obviously, not until November 3rd, but the debate is going to start to emerge over the coming weeks – in terms of if Democrats were to win just one chamber versus both chambers; if Republicans were to keep control; what could that mean for markets? And what are the durable policy themes? I think in this context, the biggest debate far and away is on data center pushback. And this has transitioned from more of a macro thematic. So, investors trying to understand the potential implications for the CapEx build-out, to more of a micro really granular question, right? Which races are the ones that we need to watch? Where are there states or jurisdictions that projects that are pending could be possibly called into question? And that's, sort of, the continuous debate that I've had recently with investors, trying to pinpoint it more precisely to figure out where exactly the build-up could be impacted. Michael Zezas: So, I hear from investors this general concern that the midterm elections will reveal that it's become a consensus preference amongst American voters and members of both parties to slow down on data center spending. Or perhaps even stop it or something more severe like that. What type of midterm election outcome would point to that as a possibility? Ariana Salvatore: Well, I would start by saying the politics here are scrambled in the sense that there's no clear fault lines when it comes to Democrats or Republicans around data center opposition, right? We are seeing some pretty notable pivots even from lawmakers that in the past were supportive of data centers. So that's why I think we have to zoom into these really specific races. And there I would say there's some governorships that matter actually more than some of the Senate races; because remember, governors also in certain states can appoint public utility commissioners. And in places like Texas, that actually could be a really consequential outcome for the 2026 midterm elections, more so than who ends up sitting in Congress on a very federal level. Michael Zezas: Okay. And so, would you say it's fair then that folks running for office who are challenging incumbents in both parties, who are expressing a desire for more regulation on data centers, that it kind of cuts across both parties? So, this is more about folks challenging incumbents than it is about one party or the other having a specific view on AI and the AI industrial build-out via data centers? Ariana Salvatore: That's right. It's hard to sort into these really generic party umbrellas, and there are a few nuances under the surface. If you look at something like Ohio. The governor's race there, both the Republican and Democrat candidates are proposing a conditional build-out, basically. So, if certain projects meet criteria, they're going to be allowed to proceed. In other races, like in Texas and Pennsylvania governorships, you're seeing the opponents basically propose a mor

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