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Energy Gang

Data centers for AI will need to embrace flexibility if our electricity system is going to cope. How can large loads support the grid?

Energy Gang

Wood Mackenzie

Tech News, Environment, Sustainability, Innovation, Renewable Energy, Technology, Alternative Energy, Energy, News, Cleantech, Wind Energy, Business, Climate Change, Solar Energy

4.61.3K Ratings

🗓️ 16 September 2025

⏱️ 51 minutes

🧾️ Download transcript

Summary

AI is adding to US electricity consumption at a pace not seen in decades. That demand growth is creating new strains on the grid in many parts of the country. But what if AI could instead help keep the system running? 

Varun Sivaram is a founder & CEO of Emerald AI and a Senior Fellow at the Council on Foreign Relations. He says that far from undermining the grid, AI could actually save it. If we can enable AI data centers to provide flexibility during times peak stress, they can become a powerful ally for reliable, affordable, and clean electricity.

Earlier this year, the Energy Gang hosted a conversation with Tyler Norris of Duke University, author of an influential paper assessing the potential for large flexible loads in the US electricity system. He argued that if grid operators could ask data centers to dial back the power consumption when the system is under strain, those new facilities could get online faster without waiting for long transmission and generation upgrades. In effect, flexibility is like a fast-track pass: by allowing short reductions in consumption during peak stress, the grid can handle more demand and data centers can connect sooner.

That’s the theory. In this show we talk about how to make it a reality.

To explain how data center flexibility works, and will work in the future, Varun joins host Ed Crooks, regular guest Amy Myers Jaffe, Director of NYU’s Energy, Climate Justice and Sustainability Lab, and resident investment expert Shanu Mathew, Portfolio Manager and Research Analyst at Lazard Asset Management. 

How can data center developers, operators and customers create flexible loads? Spread computing tasks across multiple sites, pause the less time-critical ones during grid stress, and use smarter software and batteries to smooth short spikes. The gang discuss early real-world tests with utilities and tech companies, and why some regions are considering rules that let them temporarily reduce power to big users rather than risk neighborhood blackouts. 

Is this all hype? Some of the claims being made are running ahead of what is actually being achieved in the industry today. And even as chips get more efficient, demand for AI is growing even faster. But Varun wants to run more pilots, reward flexibility with quicker hookups, and build toward a “virtual power plant” made of data centers that can respond in milliseconds. If the irresistible force of AI development is to overcome the immovable object of power grid capacity, that is the kind of innovation that is going to be needed.

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Transcript

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0:00.0

If we can enable AI to have this flexibility as AI becomes one of the largest and soon the largest consumer of American electricity,

0:10.0

then we may be able to sidestep some of the infrastructure increases that it currently demands.

0:17.0

And that could be good for ratepayers who are seeing sharply increasing bills. It could be good for grid reliability. And it certainly could be good for ratepayers who are seeing sharply increasing bills.

0:22.0

It could be good for grid reliability.

0:24.1

And it certainly could be good for the speed of getting AI data centers built much more quickly.

0:28.1

We have these tests, and they're being done, instead of being done all in one central data center,

0:34.0

and now I can't let that data center go down. It's as if I had human beings,

0:39.6

electronic human beings, in different locations. And since they're all working separately,

0:45.7

and then eventually I'm going to bring all their work product together into one final product,

0:51.2

I could tell one of them to go take lunch at a different time than a different one,

0:55.3

but we would still meet our target, which is to have the whole job done to upload and in a

1:00.7

centralized place at a particular time. For a tech company that's spending, you know,

1:06.6

let's call it $30 billion to $40 billion for a single gigawatt training center, being told that you can't run that for every maximum hour is a really negative

1:14.9

NPV type of calculation, and that's why they're so hesitant in doing so.

1:26.2

Hello and welcome to The Energy Gang, a discussion show from Wood McKenzie about the fast-changing world of energy.

1:32.5

I'm Ed Crooks. And on today's show, we're going to be talking about data centers and large loads

1:36.7

and the vital importance of flexibility for the electricity system. To do that, I'm joined again by Amy Myers-Jaffey.

1:43.0

Amy is the director of the Energy, Climate

1:45.3

Justice and Sustainability Lab at New York University. Hi, Amy. How are you? I am a great semester

1:50.4

started. I'm cooking on all cylinders. Fantastic. Excellent. Back and firing. It's also a great pleasure

1:56.1

to welcome back our resident investment expert, Shanu. Shanoo is a portfolio manager and analyst

2:01.3

at Lazard Asset Management. Hi, Shano, how are you? Hey, Ed. It's going well. Two Q earnings just is wrapping up and so, you know, on to new ideas. Right. I was just going to ask how your summer was, but I guess, you know, Q2 earnings mean not super relaxing. At least not the last few you. And it's also a pleasure to welcome for the first time a new guest to the energy gang, Varun Severeum. Verun, hello, how I? Welcome to the show. Thanks, Ed. Such an honor to be on this show. I've been a long-time fan of the energy gang. Ah, that's very good, very kind. So look, Faroon, you're, well, what is the best way to describe you? I mean, you are the founder and CEO of Emerald AI. We'll come onto what that company does in a moment. But first, you've had a very interesting and varied career in energy already. Something we always like to do on this show when we get new people on is talk to them a bit about their careers and energy, how they first got interested in the subject and how they got to the rules they hold now.

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