Episode summary
Solving AI’s Power Bottleneck
Thoughts on the Market (Morgan Stanley)
· · 10 min · Hosts: Andrew Percoco, David Arcaro
Summary
AI-driven electricity demand is pushing utilities, data centers, and suppliers toward a mix of grid upgrades and on-site power solutions. The analysts said Morgan Stanley now sees an upwards of an 80 gawatt shortfall by 2029, and they expect the bottleneck to persist because transmission and substation buildouts lag far behind the pace of data-center growth.
That is making distributed power less of a temporary fix and more of a long-term option. The host said data centers increasingly want solutions that combine cost, speed, noise, emissions, and community impact, and the guest said the industry is pursuing fuel cells, engines, and turbines to get around grid constraints. The guest also argued that customers are signing much longer contracts now, with 15-, 18-, and 20-year commitments replacing earlier bridge-style deals.
Energy storage is emerging as another major beneficiary. The guest said battery systems are especially useful because data centers ramp load up and down instantly, and he expects data-center demand for battery storage in 2030 to exceed grid demand for new battery projects that year. The host added that auto suppliers and EV-related companies may also benefit by repurposing automotive technology into storage, generators, and microgrid equipment. Vehicle-to-grid could matter too, but mostly as a 2030-plus story outside of markets like California where it is already visible.
Key takeaways
- The guest said Morgan Stanley now sees an upwards of an 80 gawatt AI power shortfall by 2029, keeping distributed power in the investment mix.
- Transmission and substation constraints, not just generation, are the main bottleneck the guest sees for utility-scale power.
- The guest said data centers are moving from bridge deals to 15-, 18-, and 20-year commitments for on-site power.
- The guest expects data-center battery storage demand in 2030 to exceed grid demand for battery storage added that year.
- The host said auto suppliers can repurpose underused EV-related capacity into storage, turbines, and microgrid products.
- The guest said vehicle-to-grid is already meaningful in California but is more likely to matter broadly after 2030.
Notable quotes
“We're now looking at upwards of an 80 gawatt shortfall by 2029”
“Now we're seeing actually 15, 18, 20 year contracts for these, you know, what used to be considered just smaller scale, less attractive solutions”
“it's often their electric transmission network that is falling behind”
“So, it's probably more of a 2030 plus conversation if if I'm going to be honest in terms of when it starts to move the needle”
How the episode opens
Welcome to Thoughts on the Market. I'm Andrew Percoo, Morgan Stanley's US Autos and shared mobility analyst. And I'm Dave Aaro, Morgan Stanley's US Power, Utilities, and Clean Techch analyst.
Today, why the AI power crunch could transform how we generate, store, and consume electricity. It's Tuesday, November 3rd at 10 a.m. in New York.
So Dave, the whole AI power shortfall and how data centers is creating a a power crunch is not necessarily a new topic. I think we've we've had many conversations. Many people listening have probably heard this is as kind of being a bottleneck for AI deployment.
But I'm curious like how have your views around the role of distributed power changed in terms of its role in solving some of the shortfalls in the market? I think there's a lot of debate in the industry around whether or not these solutions are quote unquote bridge or whether they're structural and they can be, you know, truly long-term sources of supply to the market. So maybe just help us think about, you know, how our views have really changed as it relates to distributed power specifically.
One of the things that we've have seen is that the shortfall has grown in our estimates over the last several iterations. We're now looking at upwards of an 80 gawatt shortfall by 2029. And how do we solve that?
I'd say we've leaned more into on-site power, bringing your own power. What is that? You know, if you are still waiting for years for a grid connection from the utility, what can you do as an alternative?
You can bring your own power. You could bring smallcale power equipment to get the high reliability in a much faster time frame than you would waiting for the grid in comparison.
From the episode’s captions: roughly the first two minutes, lightly cleaned. Keep watching on YouTube →
Topics
- ai power demand
- data centers
- energy grid connection
- distributed/on-site power
- power supply bottleneck
Companies and tickers mentioned
- Morgan Stanley
Watch the episode
Watch “Solving AI’s Power Bottleneck” on YouTube
Summary, takeaways and quote selection by Octagon. Quotes are short excerpts; the full conversation is in the episode.
More from Thoughts on the Market (Morgan Stanley)
Thoughts on the Market (Morgan Stanley), this episode and its artwork belong to Morgan Stanley. Octagon is not affiliated with the show; this page is an independent summary.
