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Varun Sivaram
Founder and Chief Executive Officer, Emerald AI

Can AI help save the grid?

📅 Aug 06, 2026 GridX Inc. 19 MIN 222 VIEWS 42 SEGMENTS · 3 SPEAKERS
Growing up in Silicon Valley, Varun Sivaram didn’t look to Elon Musk or Sergey Brin to learn about success stories. He looked to his dad, a material scientist who immigrated from India. But Varun’s own dreams of pursuing a career in technology took a circuitous path. His physics lab at Oxford discovered a promising new solar material, but when he emerged from graduate school in 2012, it was no time to launch a renewables startup. After a successful early career pursuing his other love, foreign relations, he pivoted to tech. In 2024, Varun founded Emerald AI, which helps data centers adjust t...

What Varun Sivaram said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Varun Sivaram, CEO of Emerald AI, discussed how AI can become a flexible ally to the power grid rather than a burden. He explained three types of flexibility: temporal (slowing computations), spatial (moving workloads), and on-site resources (batteries, fuel cells). He cited a demonstration with Oracle, Nvidia, EPRI, and Salt River Project in Phoenix that reduced AI power consumption by 25% for 3 hours, published in Nature Energy. He described a London demo with Nebius that cut power within 30 seconds to 30% below baseline, countering tea kettle spikes. He announced the Aurora AI factory in Virginia with Nvidia, Digital Realty, and PJM, a 100 MW data center set for mid-year completion. Sivaram argued flexibility is becoming a prerequisite for data centers, enabling 100 GW of new capacity on US grids. He credited Google and Microsoft for foundational work and noted Google executives as angel investors.

Key takeaways

  1. Emerald AI demonstrated 25% power reduction for 3 hours at a Phoenix data center, published in Nature Energy.
  2. In London, Emerald AI cut AI power consumption by 30% within 30 seconds and 40% within a minute, countering tea kettle spikes.
  3. The Aurora AI factory in Virginia, a 100 MW data center with Nvidia and Digital Realty, will be the world's first commercial-scale flexible AI data center, completed by mid-year.
  4. Sivaram claims flexibility could enable 100 GW of new data centers on US grids without major grid expansion.
  5. Sivaram says flexibility has become a prerequisite for data centers to keep costs down and meet administration goals.

Numbers and commitments

FigureWhat it refers toTypeAt
25% Reduction in AI power consumption for 3 hours in Phoenix demo metric 6:02
3 hours Duration of power reduction in Phoenix demo timeline 6:02
30 seconds Time to reduce power by 30% in London demo metric 8:13
40% Power reduction within a minute in London demo metric 8:13
100 megawatt Capacity of Aurora AI factory in Virginia metric 10:44
100 gigawatts Potential new data center capacity on US grids with flexibility metric 10:44

Chapters

  1. 0:00Background and career path
  2. 3:06AI as grid ally
  3. 4:50Three types of flexibility
  4. 6:02Phoenix demonstration with Oracle and Nvidia
  5. 7:22Go-to-market with utilities and data centers
  6. 8:13London demo with Nebius and tea kettle spikes
  7. 10:31Aurora AI factory in Virginia
  8. 11:48Hyperscaler skepticism and partnerships
  9. 13:46All-of-the-above strategy for load growth
  10. 15:37Flexibility as prerequisite and personal superpower

Questions asked in this interview

8
  1. 7:06How are you guys expanding those kind of relationships across service territories?
  2. 8:08Can you tell us more about that?
  3. 9:28Was that a phenomenon that was known and you guys were trying to solve for that problem or was it something you discovered through your conversations with the utility that needed to be addressed?
  4. 10:31Can you give us more details on that project and what it entails?
  5. 11:48... the customer results you've had go a long way towards proving the concept now, but how much of your early work was just convincing the hyperscalers that this could in fact work and not diminish their operations or their ability to deliver?
  6. 13:46Looking ahead, what do you expect data centers will use to better manage energy through flexibility and what approach can do the most to improve or address load growth through data centers?
  7. 15:14You know might this come down to data centers just having to build more generation and pay for more energy they use or is that more of a nuclear option?
  8. 16:36So Varun, what superpower do you bring to the energy transition?
Narrator 0:03 ↗
It's not hard to find immigrant success stories in Silicon Valley. Varun Sivaram grew up with one.
Varun Sivaram 0:07 ↗
My dad's been my role model my whole life. You know, he came from India, immigrated with very little to his name. He became a PhD scientist in his own right, material science. His first job was across the corner for Gordon Moore, one of the titans of Silicon Valley.
Narrator 0:24 ↗
Sivaram went on to become a VP at SanDisk and eventually president of the company that acquired it, Western Digital, a Fortune 500 company that's responsible for most of the memory in your cell phones and in computers and data centers around the world.
Growing up, Varun wanted to emulate his dad's success, but he was torn.
Varun Sivaram 0:43 ↗
I've always had these twin loves. One is for science and technology, and one is for international relations and foreign policy.
Narrator 0:49 ↗
At Stanford, Varun double majored in engineering and international relations. Four years later, he leaned into science and technology. He went to Oxford to study condensed matter physics. And one day in the lab, something amazing happened.
Varun Sivaram 1:05 ↗
I was next to my fellow graduate student, Mike Lee, who by accident discovered a miracle material.
Narrator 1:13 ↗
It was late at night and Varun and Mike were studying how to use a mineral called perovskite in solar cells. After mixing two ingredients in the wrong proportion, Mike happened to stumble upon a winning recipe for solar efficiency.
Varun Sivaram 1:28 ↗
When he showed the graphs, our jaws just dropped. I mean, this was an unbelievable efficiency from a material we had no hopes of. I was the luckiest graduate student in the world getting to witness history in the making in the solar field.
Narrator 1:46 ↗
But it just wasn't the right time and place to commercialize the discovery. This was back in 2012, a year after the Solyndra bankruptcy, which as you know was a bad time for solar startups.
Varun Sivaram 1:58 ↗
It was a very tough period. I observed that and realized that next generation solar technologies would face real hurdles on their route to commercialization.
Narrator 2:06 ↗
So after earning his PhD, Varun decided to focus on his other love, international relations. And over the course of three years, his career really took off.
Varun Sivaram 2:17 ↗
I joined the Council on Foreign Relations, and I led their energy and climate program. I taught at Georgetown. I taught at Columbia and I wrote a book on the future of solar energy.
Narrator 2:28 ↗
Later he would spend two years working in India as chief technology officer for the clean energy provider Renew Power.
Varun Sivaram 2:34 ↗
It was an unbeatable opportunity. India was showing the world how an emerging economy could transition toward clean energy at very low cost.
Narrator 2:43 ↗
But policy work would call him back in 2021. He joined the Biden administration serving as an energy and innovation adviser to John Kerry. And then he headed back to tech again. In 2024, after a short time at the wind energy company Orsted, Varun founded Emerald AI. It was a switch not from tech to policy but from energy supply to energy demand.
Varun Sivaram 3:06 ↗
Instead of building supply projects, I'm focused on demand. I think that an energy transformation will require the biggest new source of demand, AI, to also become the grid's greatest ally.
Narrator 3:19 ↗
Last year, Emerald AI came out of stealth mode with a demonstration project designed to show the value of using AI for better grid management.
Varun Sivaram 3:27 ↗
AI is emerging as the biggest new user of energy. And if we can't find a way to make AI an intelligent user of that energy, then unfortunately, we're not going to meet any of our goals. But if we can harness AI as the most intelligent user of energy, I actually think that AI could save the grid, far from undermining it.
Brad Langley 3:52 ↗
This is With Great Power, a show about the people building the future grid today. I'm Brad Langley. Some people say utilities are slow to change, that they don't innovate fast enough. And while it might not always seem like the most cutting edge industry, there are lots of really smart people working really hard to make the grid cleaner, more reliable, and customer-centric.
Today my guest is Varun Sivaram, CEO of Emerald AI. We talk about Emerald AI's demonstration project at a data center in Arizona. We also discuss a collaboration the company is now doing with Nvidia and Digital Realty, a data center developer. And we learn about the results of a matchup that pitted Emerald AI's technology against surging power demand in London. It's a story about a data center, but also about soccer and tea kettles. But first, I asked Varun to explain just what problem Emerald AI software is working to solve and how exactly it does that.

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APA, MLA, BibTeX
APA

Sivaram, V. (2026, August 6). Can AI help save the grid? [Interview transcript]. GridX Inc.. CEOInterviews.AI. https://ceointerviews.ai/interview/1435978/

MLA

Varun Sivaram. "Can AI help save the grid?." GridX Inc., 6 Aug. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/1435978/.

BibTeX
@misc{sivaram2026_1435978,
  author       = {Varun Sivaram},
  title        = {Can AI help save the grid?},
  howpublished = {Interview transcript, GridX Inc.. CEOInterviews.AI},
  year         = {2026},
  month        = {aug},
  url          = {https://ceointerviews.ai/interview/1435978/},
  note         = {Speaker-attributed transcript with timestamps}
}