Powering AI: The New Nuclear Era | Dreamforce 2026

Please welcome CEO of Caruso, Chase Lockemiller, CEO of Allo Atomics, Matt Lozick, and Vanity Fair contributor Tom Dotan.

All right, good morning, everybody. Thanks so much for coming out here. I know it's early for a lot of folks, so we're gonna keep it high energy. But I wanna introduce you guys to Matt and to Chase. And we're gonna talk about the energy that goes into all of the models and data centers and all the things that make all this agentic stuff that we've been, you know, you guys have been dealing with for the last couple of days happen. And so, I figure, you know, the easiest way to get into this conversation is just give a brief description of the companies you work at and kind of where you fit into the energy equation, and then we can dive right in. So if you want to go ahead, Matt, and kick us off.

All right. Hello, everyone. My name is Matt Lozak. I'm co-founder and CEO of HoloAtomics. And so what we're doing is we're mass manufacturing nuclear power plants that are purpose-built for powering AI data centers. such as Crusoe Data Centers. And so we got started around 2 and a half years ago. We were 2 people back then. Now we are 200, and we are about to move into a million-square-foot factory in Austin, Texas, expanding from our current 40,000 square feet to begin to mass-produce our hardware. One other cool claim to fame we have is that we turned on our first reactor 8 weeks ago, and this was the largest reactor that any U.S. nuclear company startup has turned on in history. So it was 10 megawatts worth of fuel that we achieved criticality on. It was a self-sustaining chain reaction, and it was the coolest thing we've done. I've definitely done in my life.

So, yeah. And you studied nuclear physics in college too. So this is like you're finally getting to prove your professors that you, you're doing it.

Yeah, exactly. It all paid off.

Yeah, yeah, yeah. This isn't just theoretical. And Chase, Yeah, just give us a brief rundown on Crusoe.

Yeah, that was an exciting moment for us as well because Crusoe is gonna be running a small modular AI factory using that power next summer. So it'll be the first SMR-powered AI factory that we're really excited to partner with Matt and his team to bring to life. But, you know, I'm the CEO and co-founder of Crusoe. Crusoe's a vertically integrated AI infrastructure platform. We do sort of a whole range of stuff ranging from energy, energy development, both building and operating power plants where we need to, but also working with key energy infrastructure partners like Matt and his team that are bringing to life new forms of energy to help power AI. We also build and operate very large AI data centers. I know they're like super popular right now, so I was Expecting a big step. No, just kidding. You know, but I the the you know we we are very thoughtful about when we're building these big campuses where you know we we do try to take a very community-first approach in terms of you know that all the benefits that we're bringing to communities in terms of helping bring new energy to the community to drive down overall power costs, helping bring new jobs. I mean, you know, a lot of these communities that we're building in. We're increasing the overall tax revenues of the community, of the county or the city by anywhere from 30 to 100%. So these are transformative investments that we're making into these communities from a job creation standpoint, from what it means for the schools, for the fire departments, for the police departments. They're very, very large investments that, you know, we've been really thoughtful community partners on. And on top of those, we build software that operates these AI factories. And, you know, this is really how you actually turn these big investments into value for customers. And we operate this large cloud platform called Crusoe Cloud that is really focusing on enabling the key innovators across the AI ecosystem to build and train foundational models across large language models or voice models or world models and robotics to scaling large AI applications that are using AI to provide services to the economy. So It really is a business that's serving everything from the electron to the token. But today we're very focused on today's panel. We're talking about energy.

Energy, yeah.

Very excited about the new ways that AI is serving as a catalyst for new energy technologies like Matt's.

Yeah. So I want to actually build our way up the stack, maybe ending with this topic about data centers and the way you guys are addressing communities and the current public reaction to this stuff. We'll get to that. I want to just talk about energy infrastructure and demand, because one of the most fascinating things for me as a reporter is learning about the fact that as these data centers are being built up at massive scale, the number one bottleneck that people talk to me about is energy. And the, you know, American infrastructure, uh, energy grid was not set up essentially for this kind of surge of demand to be able to power the training and inferencing of these AI models. So we can start with you, Matt. Like, what did you sort of see in developing this company that you were like, we need to start building nuclear energy generators at a scale so that we can address this problem? Like, what was, you know, what was your— how did you address sort of this moment of like, we're not able to keep up in terms of demand?

Well, so when we started the company, it was pretty fortuitous timing. If you look at when we started hiring and you overlay that chart with the Google search trend for AI as a search query, it's like the exact same day that we started the company. So, you know, it was always on our radar that we wanted to power data centers as a top priority, but I think no one could have foretold just how much demand there will be from data centers even 3 years ago, which is amazing to say.

Do you have actually at top of mind what the demand, how it spiked, what the expectation was and where it ended up being to give a sense as to—

I feel like Chase might know the exact number, but my perception would be maybe if you look at the past 25 years, data centers used to be a few megawatts, right? 25 years ago, then it was 10 megawatts.

That was massive. That was like a huge campus, something that was in the megawatt range.

Yeah. And then it went up to 20 megawatts and then it kind of big was then 50. And now, you know, Crusoe, they're building these multi-hundred megawatt sites, gigawatt sites.

Gigawatts, multi-gigawatt sites. Yeah. I mean, you know, if you look at maybe one of the good statistics to share, if you look at like the entire data center industry, like, you know, it really operated in these big hubs. So Northern Virginia is like widely considered to be, you know, the biggest, most critical hub to operating web applications and sort of the internet. End of '24, so this is like part Partially through the AI boom, or like early innings of it, it was like four and a half gigs of total capacity in Northern Virginia. Like putting that in context, like Abilene is 2.2 gigawatts. Like you know it's half the size.

That one campus.

That's one campus.

Yeah.

It's basically you know our plan is to grow it.

Yeah.

So you know it really has been a step function change in demand, and you know I think you're you're. What you're seeing from hyperscalers is like all these forecasts are continuously getting increased, right? It's like, you know, here's our forecast for '27, '28, '29. Here's what we're gonna spend. Oh, demand is way in excess of what we thought. We're actually gonna need more. And energy is actually this really critical bottleneck in terms of how we actually bring that infrastructure to life.

Yeah. And I mean, in terms of the— sorry, I got a call here. I should have muted my phone. In terms of like, you know, in the old world, in the old school regular data center days when you were building up a data center, you essentially weren't responsible for creating new power, right? You would, you know, build these things and you weren't like, oh yeah. And also, can you please build a power plant that's going to run it? I mean, you kind of tap into what the utilities had available, right?

Yeah, I think that's right. You know, like it was, it was like you would work with the utilities. I think, you know, there were, there were a couple of things that like were different in like the old days, so to speak. You know, number one is that, you know, the amount of power being demanded by the data centers relative to other utility consumers was a smaller percentage. That's number one. And number two is the urgency, like the planning timeframe that we had to actually execute this was like, you know, having a 5-year project was not uncommon. You know, today it's like everybody wants a gigawatt AI factory yesterday. And, you know, what are the ways that we can accelerate that development and progress? So there's both like greater urgency, greater scale in terms of how it's impacting, you know, local utilities.

Right.

And so that's really led to a place where, you know, you have ultra well-capitalized partners that are making these investments. And I think people have realized that the way to make this happen is actually we need to invest in the energy infrastructure to upgrade the grids, to upgrade transmission and distribution, but also add net new generation that ultimately will lead to, you know, having the energy needed to power these data centers. And also, you know, as a byproduct of that, you end up with energy abundance where all local ratepayers can benefit from lower energy costs and more energy available, which I think is something that we're really excited about. And, you know, independent of what, you know, some of the, like, doomerist, you know, social media posts may have you believe, uh, you know, the data shows that where data centers go, um, typically energy costs come down for local ratepayers because of those investments that are being made.

Yeah. Let's talk a bit about Abilene, because my understanding is when you guys were building that campus, it was, uh, you guys were providing the energy for it, maybe temporarily before there was some grid energy brought online. And that was all to be like diesel, diesel power generation?

Uh, not diesel, it was natural gas. Sorry. I'm sorry.

Yeah. Elon is the diesel generators in Memphis, but no comment. Yeah. Anyway, that's a, that's a Memphis issue. But I mean, tell me about— and this kind of brings us into nuclear, like why, why is natural gas like, you know, there are limitations with that. It's a more finite resource. I mean, what's, what's— is it harder to bring new natural gas online versus nuclear? I mean, tell me about evolution from one to the other.

Yeah. I mean, look, at Crusoe, you know, we try to take a very all-of-the-above energy approach to basically activating megawatts for computing. And, uh, you know, that in certain cases involves natural gas, uh, in certain cases involves solar plus batteries, where we, you know, in, in Nevada we built the largest, uh, microgrid in the United States with a partner, Redwood Materials, was co-founded by a guy named JB Straubel, the— who, who also co-founded a small car company called Tesla, um, uh, alongside Elon. So JB and his team helped us build out this very large microgrid that's just solar plus second-life electric vehicle batteries. So basically we took these batteries out of electric vehicles.

Smart.

I like that. And we're powering an AI factory entirely with the sun, essentially. That's like one case. Natural gas, we've brought to life net new gas generation. We're doing stuff with geothermal and hydro in markets that have access to low-cost, abundant geothermal resources like Iceland. Or hydro resources like Norway, where we're investing quite a bit. But we think nuclear is a very important piece of that puzzle long term. You know, I actually like look back to like before the Inflation Reduction Act came out, like even in climate circles, like nuclear was considered to be like this, like bad energy source. Right. And it never made sense to me.

I was always— We all saw Chernobyl on HBO. I mean, that probably—

Yeah. Yeah, but, but, you know, it's like Germany shut down all these nuclear plants. I think like widely environmentalists were like anti-nuclear in spite of the data telling a very different story in terms of, you know, the deaths per megawatt created or like, you know, the critical injuries per megawatt generated. It's actually like the safest energy resource we have out there. And, you know, I remember this moment where like Exelon was trying to dump nuclear assets to sunset them because they were so worried about the long-term liabilities of them. We looked at buying one for a dollar, and I was like, this how is this? Yes, and it's like one of my great mistakes of the company is like I should have just done it. So I was like, this is this is crazy. Sorry, you would buy a nuclear power plant for a dollar? Everybody was like, no, you have no idea the liabilities that you're going to take on. You got to shut it down, and you know, and that was a moment where Diablo Canyon was going to get shut down here in California. Sure, until MIT and Stanford collaborated on writing a paper. that said, you know what, California set express climate goals. If they shut down Diablo Canyon, it's going to set those goals back a decade or longer.

Yeah.

And, and, and like, so it was only this moment I remember it's like a critical inflection point for nuclear where the Inflation Reduction Act was published and they added this notion of having a nuclear production tax credit. And it sort of shifted minds of like, oh, actually nuclear is a good energy source. It is baseload. It does produce power cleanly. 24/7 with zero carbon emissions.

Yeah.

Hey, that's actually— that's kind of what we want, right? And, um, uh, you know, and I, I think it, it really opened up and, and laid the groundwork for a lot of innovators like Matt to come in and, uh, you know, try to bring these next-generation nuclear technologies in smaller form factors that could be safely deployed, uh, could be scalable through, through high-volume manufacturing, which is the approach he's taking. And We're just really excited about just the innovation taking place across the ecosystem, both in the small side as well as, you know, like I would like to have some of these bigger like APW1000s deployed. I think our biggest concern with them is like both like timeline of how long they take to get deployed. It's a 10-year construction process and it's $10 billion per gigawatt, right? Which works well if you amortize it over 100 years, which is like, it's a— 100-year asset, but like, you know, it's hard to find investors that will like give me a loan for 100 years. So, uh, it's, yeah, it's, it's kind of like a different, different—

And Matt, I mean, we were talking before we got on stage that, you know, studied nuclear physics in college and wanted to build this company, and then Fukushima happens. And that was probably— that's got to be maybe aside from Chernobyl one of the lowest moments for, you know, people's opinions of the energy and its safety. So how did you kind of go from Or how did nuclear go from that moment to this, you know, now one of the most kind of sought-after energy sources for the AI boom?

Yeah, well, I think the past 5 years have been pretty incredible. I mean, if you said nuclear, you're doing a nuclear startup, maybe 10 years ago, you would get a dirty look or laughed out of the room. And even 3 years ago, when we told investors we'd be turning a reactor on in 2.5 years, many of them literally laughed. And so it's pretty amazing how fast this perception has shifted. And I think the interesting thing is the product, the ideal nuclear product that the customers are demanding today is very different from the ideal nuclear product from 50 years ago. So if you look at it, there's 400 reactors around the world today and they're all basically bespoke. They're one-off gigascale projects. And, you know, there is the AP1000. But the reality is all the 100 or so reactors in the country today were one-offs for these large utilities where different people built them. They had different designs. And that's really the challenge. I mean, that is why it does take 10 years plus to build one of these large plants and they cost so much money.

I mean, before Vogtle, what was the last reactor that was built?

So there was a failed one, right? V.C. Summer. That was also happening. And that was a whole scandal.

But before that, it was decades before, like in the '70s, '80s or something like that. Yeah. I mean, it's insane.

Yeah.

Was there a specific—

I don't want to go too much into the history here, but just entertain me. Was there a moment that you saw in America where, like, it was at its lowest, where politically it was nonviable? I mean, was there something that happened that Three Mile probably didn't help.

But so Three Mile was— some people view it as the nail in the coffin, but it wasn't really the main turning point. So nuclear costs— there was a time in the '70s when nuclear was as cheap or cheaper than coal. So like on a normalized basis to today's dollars, it was actually around $0.05 a kilowatt hour. But then regulations started to increase. This could be a whole other panel. But basically, yeah, there's a lot of people who were trying to throw the baby out with the bathwater, people who wanted to get rid of the weapon. And they didn't understand that the energy source is very different. It's like the difference between a stick of TNT and a stick of incense. It's a different product. And so one is not the other. And it's really unfortunate because like Chase said, nuclear is actually probably one of the best energy sources we have available, right? Clean, baseload, works anywhere, anytime, tiny footprint. And contrary to a lot of popular public Perception is as safe as solar and wind.

So yeah. Regulation-wise, the thing that I hear the most is that the years that it takes to get a new plant online, cutting through the red tape and dealing with, you know, various approval from government agencies is like onerous. And that's been a major slow point. And again, I don't want to divert it too much. There was an interesting company in Texas, actually, the Rick Perry company.

Yeah.

What I'm talking about.

Yeah, yeah.

Fermi Energy. Fermi. Fermi. I don't know how those guys are doing, but their pitch was a very simple one, which is like, we found a loophole in the systems that we can, you know, you know, stand up a nuclear energy facility in record time. And so clearly it's like the bottleneck is time for a lot of these things.

Yeah.

I mean, how's that going for you guys?

Well, I would say you don't need a loophole. I mean, the reality is 13 years ago there was an anti-nuclear person in charge of the NRC. Right. So this is not regulation. This is active prevention. This is insane. And so in the past 5 years, there's been a ton of things that make it easier to deploy nuclear safely. Right. Because the faster you can iterate, the easier it is to actually do it more predictably and safely. It's a counterintuitive thing. And so you've had things like the Advance Act under Biden, which halved the cost and the timeline for licensing. And then the Trump administration set these executive orders. And one of those was a year ago requesting or commanding that at least 3 reactors turn on by July 4th of this current year. And in fact, 4 reactors turned on. Ours was the largest by 10 to 100 times. And how many—

how many megawatts?

So 30-megawatt thermal, 10-megawatt electric.

Okay.

But because we took on all that scope, we cut it pretty close. So we actually achieved criticality at 12:20 a.m. on July 4th.

So anyway, met the deadline. Yeah.

Congrats.

Trump will like that. Chase, how important is nuclear going to be for your grand scope of data centers you guys build? I mean, like you said, you're in the, you're in the gigawatt game. So like, how much is this like a game changer for you? Having this energy source?

Like I said, I think we've tried to embrace an all-of-the-above energy solution and we try to, you know, as a company, I think we feel like there are certain near-term requirements that may involve, you know, lots of— or that do involve fossil fuel generation. But like we want to sort of help bend the arc of energy production towards sustainable energy resources. We view nuclear as a critical aspect of, of critical pillar of that future energy needs. You know, so I would say it's not like, like if, if, you know, we're not— it's not like a single dependency for us, but like it's definitely something we're like cheering for. You know, we really hope energy is— nuclear energy is successful and like We can help bring on many gigawatts of capacity. And yeah, you know, while, you know, Matt's initial reactors, you know, 10 megawatts, you know, I know he has ambitions to do a lot of those, which actually works well with the way we think about powering data centers from a redundancy standpoint and also much bigger reactors as well. So I think, you know, there's a huge demand for it. There's a huge market for it, you know, with with kind of like the innovative spirit and, you know, the entrepreneurs like Matt, I think it's gonna, it's gonna become a reality.

When you look at the future of data centers, are we gonna continue on this path of bigger and bigger and bigger, you know, multi-gigawatt stuff? Or is, is, is, you know, like energy constraints where they are right now, the next maybe generation will be like in the multi-megawatt stage? And well, where does that look?

So, so I mean, one of the, one of the benefits of being a vertically integrated business like Crusoe is that we get a perspective of the whole spectrum of how different pieces influence one another. And if you look at Abilene, the like North Star that influenced the design of the Abilene campus was that the goal was to build a gigawatt-scale computer, right? We wanted to build it so that you could interconnect a giant cluster of GPUs on one coherent RDMA fabric where GPUs are basically directly connecting with each other, like directly into memory. And in order to do that, you needed kind of a very specific design. You needed very specific ways of interconnecting the buildings. And, you know, the product of that would be a breakthrough foundational model that would lead to a step function improvement in performance of, you know, these models, which we've seen recently, right? So the first model to be trained at this scale that we've— that was trained in Abilene was Astra. Right.

That's right. I forgot to bring that up. AGI created inside Abilene.

That's right. So, and that was actually only on the first 2 buildings, which was the initial contract. We're expanding it. Buildings 3, 4, 5, 6 are now online. 7 and 8 will be coming online with full— the GPUs are getting commissioned right now before year end. And so you'll have eventually something that's trained on 4 times more compute than Astra. So that was like—

I thought we were pacing the frontier.

So it's gonna be a step function in the frontier from Astra, right? So, but again, the data center, because we had this perspective of what the end use case was, it influenced, and having this vertically integrated perspective, it influenced how we actually designed the energy and the data center to power that. When we think about The other big use case, which is, okay, 2026 has been the year of scaling of usage of AI. It's been the year of the token, right? It's like the amount of token usage has scaled exponentially because people have found massive utility in using these models within their day-to-day life, whether it's from individual consumer basis. My wife loves using ChatGPT. It's like her favorite thing.

Uh-huh.

to businesses that are using it for critical functions like coding and legal work and all these different things, the token usage has absolutely exploded. For that, you need inference infrastructure. And the data center to serve inference infrastructure doesn't necessarily look the same as the data center to serve the training workload.

Right.

So for that, we've actually built this product called Crusoe Spark. And it's a small modular manufactured data center that we can deliver much more cost effectively 'cause we're able to do everything in a controlled manufacturing environment in a factory. We can do it much faster from a time-to-token basis, basically from starting to like a data center, you know, being shipped out the door is less than 30 days as opposed to like, you know, a year or, you know, a year is very, very fast for a big campus. And, you know, we're able to tap into, you know, critical labor markets and we're able to unlock new energy resources. So, you know, it's actually very hard to go find a site where you can get a gigawatt or more of power in a single location. which is really what you need for these mega training clusters. But there's lots of places where you can find 10 megawatts, 20 megawatts. And, you know, in working with folks like Matt, we feel like there's a lot of ways to bring on net new modular generation that can service those needs for these modular data centers. And they pair very, very well together in terms of like bringing online these small modular, you know, single megawatt scale AI factories. Paired with modular, massive Google things.

Yeah, gigawatt things. With the time we have left, I want to talk about the thing that you brought up at the beginning, which is you know you guys both sit at you know the center of what is now a huge controversy controversy with AI. It's all it's a whole number of things. Currently, we're very worried about the models you know becoming colluding and sentient and taking down all of our infrastructure. But you know before that, it was about the energy and the pollution and you know data centers itself and. Nuclear has obviously been controversial. I mean, it's a lot to unpack here, but like from where you sit, you know, with what you guys are building, how do people feel about nuclear and, you know, whether that's a negative development in terms of the whole AI boom? You know, like, are— yeah, how are things? Do people like you?

Yeah, well, I think it's interesting because I like you. Thank you.

You guys seem to like it.

You have at least one fan here. I think it, you know, on the one hand, nuclear does have a bad rap in many regions around the country. It does currently power 20% of the US. So there is at least 20% of places where, in fact, they love it. If you get an Uber in Idaho Falls and you tell them you started a nuclear reactor company, they say, no way, that's awesome. When are you building more here? So, you know, in some places, I think The kind of almost irony is that nuclear could be the answer to NIMBYism for data centers because it's clean and doesn't use water, even though that's overblown and so on. But I think that the larger story here is, is kind of important that we resolve this issue of NIMBYism for data centers because otherwise, you know, Elon's going to do it all in space. And I think there's actually a real advantage to doing a lot of it on Earth because more energy is more wealth, more energy is more abundance. And, you know, what Chase is doing is a great excuse to deploy a ton of energy all around the country. And, you know, after a PPA is done with the data center, maybe some of these sites actually just go onto the grid and then suddenly we have a lot more energy in the country. I mean, the public should want a lot more energy. And so I really hope that humanity gets this right because, you know, a lot is at stake there. And energy is wealth, energy is health, energy is abundance, and we should want it. Otherwise it'll go into space. So I think it's important.

That's an interesting pitch. I haven't heard that one before. I mean, because, you know, when you see this chase with the data center side, it's like, You need to find ways to prove to the communities that you're building in that this is going to have benefits. Maybe it's jobs. The AI itself, you know, that's maybe the responsibility of the frontier labs to prove that there's utility there. But it's like you can say we're building these power plants that are going to be, yes, powering these data centers, but also making energy cheaper for you or in other ways benefiting your community. It must be an easier sell at a very difficult time.

Yeah. So look, I think the big issue is we have a marketing problem. Right. I think, you know, different messages are being misconstrued or misrepresented, you know, and I think the—

Which is the most misleading or misconstrued one?

I mean, definitely the water narrative is the, is the most frustrating one because we've actually intentionally designed these data centers to be, you know, very, very low water usage. Like, you know, one of our giant buildings in Abilene, it uses about the same annual water usage as like 10 single-family homes, right? So it's like, you know, it's mostly like people that work there going to the bathroom and washing their hands and, you know, us watering, you know, the trees and the plants outside the data center. Like that's like the bulk of the water usage of the data center because the cooling loop is a closed-loop system where we actually recirculate the water. There's a million gallons of water per building. We recirculate, we have the cold water that feeds into the racks, Cools the chips, and then it goes out to a set of air-cooled chillers where we blow air over sort of wound copper coils and exhaust the heat into the air, and then it recirculates back into the system. So, you know, the water usage is basically zero. You know, from an energy perspective, you know, we try to be very, very thoughtful energy partners in terms of bringing energy when we need to, catalyzing investment in new generation, and typically that new generation is scoped for our peak utilization, which means, which, you know, we're only using peak utilization, like, it's like the hottest point, like, in the hottest day of the summer, like, looking back 20 years, and, you know, the cluster's running at full capacity, which, like, almost never happens. So that means, like, you know, you know, the other 99.9% of the time, there's actually more energy that we've catalyzed to bring to life that can go to other local ratepayers and bring down the cost for everybody because there's energy abundance. You know, the third piece is the jobs. Like, we are creating tremendous amount of jobs, investing in a lot of the blue-collar workforce.

Long-term jobs or just construction jobs?

Both. I mean, from a construction side, you know, in Abilene, we peaked out at 9,500 workers on site every day. And these are great jobs, right? These are people, you know, like our entry-level, you know, or not entry-level, but like, you know, early in their career electricians will make you know, 6-figure incomes without getting a college degree. Yeah, you get a job. You know, I— and then long-term, there are, you know, thousands of jobs that will be created by that data center, which is, you know, amazing from a security standpoint. From a local economic development standpoint, it's creating massive investment. Like, if you talk to any restaurant owner or any, like, hotel owner or anyone that's operating anything in the local Abilene economy, they'll they'll tell you this is the best thing that's ever happened to our community. And then, you know, all of the tax benefits that we, you know, generate in terms of, you know, what we're doing from the school standpoint, what we're doing from, you know, fire department, you know, roads, water, you know, police, just like the sheer amount of capital being invested here just creates these incredible sales and use tax and property tax revenue streams that, you know, create lasting impact for communities. And I'll, you know, I know we're close on time here, so I'll leave with a couple stories. Columbia County, Georgia is an area where Google is building a very large data center. Because of the investment of the data center, they've actually decided to get rid of property tax for all residents in Columbia County because there's so much money that's coming into the county that's all coming from the data center. And so if you imagine, like, if you're just a resident there, you know, you had this big property tax bill you're paying on an annual basis, gone. Data center covers it.

Yeah.

You know, in Warrington, Missouri, where, you know, we're actually building a large data center, you know, this was a poor rural community in Missouri that had to— had an underfunded education budget. And they had so little funding that They actually had to shift to a 4-day-a-week education program for kids. They couldn't afford to pay teachers for kids to go to school 5 days a week. It's like a tragedy.

Yeah.

Like, it's actually shocking that this would happen in America. But we're coming to town and we're making this massive investment in the community that's going to fully fund the education program. And it gives them flexibility. It gives them the optionality to add that 5th day back. But, you know, even without that, they're going to make massive investments in the programs and the education system. and really gives, you know, these kids a chance to, you know, get access to a great education and really, you know, be great meaningful contributors to the future economy, which is one of the things that we really care deeply about is like making these strong community connections and investing in the people where we're investing in data centers.

Yeah, man, I feel like we could do 30 minutes just on this topic, but we are probably at time. So thank you, Matt. Thank you, Chase, so much for doing this. And I'm sure you and I will keep talking about all this. Yeah. Fascinating topic. Thanks. Thank you.

Thank you.