Motley Fool Money - America Is 10x Behind China in AI Infrastructure — The CEO Building the Solution

Episode Date: August 23, 2026

The AI race isn't being won in the model lab — it's being won in the power grid. And right now, America is losing. Motley Fool analyst Rachel Warren talks with Hannan Happi, co-founder and CEO of Exowatt — backed by Sam Altman and Andreessen Horowitz — about why the AI build-out is hitting a wall that no amount of chips or software can fix. They get into why a one-year grid delay costs a hyperscaler $12 billion in missed revenue, why China has 10 times more capacity than the US to build AI infrastructure, and what investors need to actually be tracking as hundreds of billions of dollars flow into the AI build-out — including whether the data centers being built today will still be operating in ten years.  Host: Rachel Warren Guest: Hannan Happi Producers: Dennis Golin, Lauren Budabin  Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We’re committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

China adds 540 gigawatts of power to the group per year. So more than 10 times our capacity. So that means that China, if we consider China to be our rival in this AI dominance race, has 10 to 11 times more capability and capacity than we do to build infrastructure and bring that online. That was Hanan Happy, co-founder and CEO of Ex-a-Wat, on why the AI race is less about algorithms and more about electric. and why the U.S. is dramatically behind where it needs to be. I'm Motley Fool analyst Rachel Warren. The conversation about AI almost always focuses on chips and models, but Hanan argues that the real

bottleneck is something far more physical. He joined me to discuss why a single year of grid delays could cost a hyperscaler $12 billion in missed revenue, why communities across the country are pushing back hard on data center development, and when investors watching the AI build out should actually be tracking as the capital flows in. We hope you enjoy. Hello everyone and welcome back to Motleyful Conversations. I'm Motleyful analyst Rachel Warren. Today I'm joined by Hanan Happy, the co-founder and CEO of Exawat. Hanan brings an incredible deep tech background to the table. He studied mechanical engineering at the Technical University of Munich, later attended the Stanford Graduate School of Business. And prior to launching Exawat,

he held key engineering and leadership roles at industrial and tech powerhouses like General Electric, Accenture, Tesla. He also co-founded Valenci, Valenci, and autonomous hardware and logistics. company. But now he's tackling one of the biggest challenges facing the tech sector right now. His company Exawatt, which has captured the backing of elite investors like Sam Altman, Andrews & Horowitz, is purpose built to power AI, delivering dedicated renewable energy to the engines of modern intelligence. Exxawat calls its new energy generation category on-site firm Solar. It's designed to bypass the years-long utility grid delays that are stalling the modern AI buildout. And on, welcome to the show.

Thanks for having a ratio. Absolutely. You know, the last few years when I think a lot of investors talk about AI, the conversation is very much focused on, you know, semiconductors, networking capabilities, but you've argued that the next massive phase of AI investment isn't actually happening in software. It's happening in that physical infrastructure. So walk us through that. Why has the biggest bottleneck and the AI boom suddenly shifted from the silicon to the raw

physical infrastructure? Yeah, absolutely. Absolutely. So if you think about just a couple of years ago, the largest data center that we had in the United States was about 100 megawatts in capacity. And that was considered very large. And the rack density was, you know, in tens of kilowatts. And a building block of a data center was maybe 10 to 20 megawatts. And fast forward just in the last couple of years, the building blocks for data centers, have scaled up to in the order of 300 to 500 to even 700 megawatts, the building block. So you could argue the building block of a data center is now five times larger than the

largest data center we had in the country a couple of years ago. And the data centers themselves are now, on average, about a gigawatt and there are some that are in the order of 10 gigawatts. And to put that into context, a gigawatt data center essentially is consuming the equivalent of one million US households worth of energy. So you're basically saying, I am building a city from scratch for a million people, and I'm trying to do that as fast as possible, because I want to stay in the AI race, I want to have the best model, you know, I want to be competitive.

And this is where, you know, we're past the idea of, like, how do I, you know, write the best LLM algorithms or models, how can we overcome the chip shortage? because the chips have become better too and more powerful, even if they have become more energy efficient, but they're still consuming a lot more energy as a total. And now we have to build power infrastructure. And as a country, we haven't had to build massive amounts of power infrastructure for the last couple of decades. We haven't had much of a low growth in the U.S.

And now we do. And data centers are eventually going to contribute or be taking about 9 to 10 percent of total energy produced in the U.S. at the grid capacity. So we are in a mad rush to build power infrastructure. Building power infrastructure is not trivial. It's not like software that you can write code and it just scales infinitely.

You have to move metal. You have to move concrete. You have to move earth. You have to do all sorts of permitting and construction and move workers. And we just don't have those capabilities at scale in the country. And what we're trying to do at Ex-O-Wod is come up with a formula that allows us to do something in a factory setting with tight control over cost,

tight control over the speed of execution, and try to scale that as fast as possible to address this power gap. But there's a massive, massive power gap, and I think everyone's scrambling to figure out how to cover it. And yeah, that's kind of the reality that we're facing today. Well, I think, as you noted, it's become increasingly obvious that the primary constraint is about delivering, reliable power where AI infrastructure is actually being built.

So, you know, what are the solutions to that look like? I mean, obviously, I know that's what XOWAT's all about, but I'd love to hear your thoughts as well broadly on how you're able to get past this bottleneck in the next year, 5, 10, 15 years if you're building out all these data centers as a tech company. Yeah, good question. Again, going back to like the history of data center build out, right? Three, four years ago, when you built a data center, again, whether it was 25 megawatts or

even 100 megawatts, you really didn't think of power. a constraint, you basically put the data center where the location was favorable from a real estate perspective, maybe from a fiber perspective, typically close to urban and suburban areas. And power was not really necessarily a key factor. You just plugged it into the grid, and the grid was able to give you power. But fast forward today where we have these massive data centers, the grid has no capacity. They have to come up and scramble with solutions to build their own power. And this started out with the mad rush to go build gas, right?

So over the last couple of years, especially in the last two years, every data center that has been announced and saying, well, I'm going to build some version of gas generation behind a meter gas and eventually there'll be some grid. And gas generation has its own challenges. We have, yes, abundant amounts of gas in the country, but we have the lack of supply chain for turning that gas into electricity. So turbines have been backlogged, you know, five to seven years in some cases. We have also now fuel volatility, right?

Given the geopolitical things that are happening around the world, gas prices are also fluctuating. And then just by the simple fact of having a gas line doesn't mean you actually have access to that gas to turn it into electricity. And so a lot of people start saying like, oh, I have a gas pipeline here, I'll build a data center. It's not that simple. And I think the most recent thing that's happened, if you put aside all the supply chain constraints, all the factors that go into building a generation system is now the communities are saying, I don't want this many gas generators in my backyard, right? So the nimbism for gas generation is now really spiking because gas generation by default

is not necessarily a clean solution. It might be a fast solution, but it's not a clean solution. And so the pollution that it's creating, the emissions that it's creating, it's really, really hurting the communities. And in even very gas-rich states, like Texas, we're seeing a backlash against data center build-out. So our theory and a hypothesis has been a couple of things we're doing wrong and we should do differently as a kind of industry and also as a country.

Number one, we shouldn't go build these massive data centers in the same locations we used to build the smaller data center, so in urban and suburban areas where they can have a massive impact on the communities. We should try to take these massive infrastructure. structure projects, these data centers, out to areas where the impact on the community is lower, where you can get abundant cheap energy from solar resources, even if it is gas resources. You want to take it as far out as possible. And solar, in our opinion, is the cheapest, most abundantly available, least supply chain-constrained

source of energy that we have today, not only in the U.S., but around the world. And the supply chain is very robust. and if we're talking about traditional solar panels, and it's a matter of now making that enormous amount of solar energy that we get that sufficiently covers all of our data center power gaps and making it such that it's dispatchable so that it can serve a base load application like a data center. So the argument for solar against solar and wind and other renewal generation sources

historically has been these are intermittent resources. So when the sun is not shining, when the wind is not blowing, How can I power my data center that's supposed to run 24-7? That's exactly what we're solving for at XWAT by taking that intermittent resource and making it dispatchable by storing that energy in what we call a long-duration storage technology and allowing data centers to have access to the solar energy that we capture for out today around the clock 24-7 to power their base-load applications. And I think that's the shift that we're going to see in the data center market.

There are already hyperscalers that are starting to do that at scale. And I think more and more of that is going to come online, hopefully very soon, because it is the fastest path to electrons, the fastest path to electricity, essentially, and the lowest impact on communities. And also, it creates a ton of jobs, right, because you have to manufacture these panels. You have to manufacture all the supply chain for the batteries and the components that go into that. So that's where I think, hopefully the sustainable kind of data center build out is going to move towards, away from urban and suburban areas, away from very polluting generation solutions like gas and diesel, to more sustainable solutions, not because data centers want to be sustainable, but because that is the cheapest, fastest path for them to get access to power and without hurting any of the communities where they're building that power infrastructure. Yeah, and I mean, the factors that we've seen like deployment speed and permitting energy availability, which of course you've just touched on execution risk, this is a much bigger part of the picture as we're watching the AI build out demand seems to be just one very, very small piece of the pie. We hear a lot about grid interconnection delays stretching for years. Can you paint a picture of how devastating a three to five year grid wait time can be for a hyperscaler or a tech company that's trying to build out these data centers to try. train their next-gen models? Yeah, I mean, just think about over the last, what is it, now July,

right? Over last seven to eight months this year, how many model releases we've had between just open AI and anthropic and then also meta and GROC and Google and also all the Chinese open source models. Like, I can't keep count of it anymore, but I'm sure it's in the order of like dozens now of models that have been released over just the last seven months. So the pace of, you know, these models being developed and released extremely high. The competition is. is really high. And if you look at the revenue profiles of Open AI and Anthropics, so it's very obvious that this is a very profitable business, right? Every day counts, every minute counts. And whether you're essentially an AI application company or an AI model company, or you're

a company that's providing infrastructure, if you look at the recent transactions that SpaceX did with Anthropic and with Google, like they're talking about a billion dollars a month. So a year delay, if you just take that as a number, is about $12 billion of missed revenue opportunity. So obviously everyone is a mad rush to get any access to any power they can get as fast as possible. It used to be that when we talk to customers, they said, oh, unless you can give me 300, 500 megawatts a gigawatt, I'm not going to be interested. Now it's come to a point where like, any power you can give me, I'm going to take it, even if it's in small quantities because the equation is very simple. If I have 10 megawatts or 100 megawatts, I can monetize that to the tunes of hundreds of millions of dollars, if not billions of dollars.

And that's kind of the why everyone's in a mad rush, putting aside the fact that we're also competing with China for AI dominance. Just internally, the economics of AI right now are so, so lucrative that everyone's willing to spend whatever it takes to get access to power infrastructure, to computer infrastructure as fast as possible. Two and five Canadians will hear the words, you have cancer. That's why every step and dollar raised matters. On September 19th, join thousands in Toronto for the Princess Margaret Cancer Foundation Walk. Challenge yourself, friends, and family to walk 21 kilometers in support of life-saving research. Together, we can carry the fire and help create a world free from the fear of cancer. Register today at pmcf walk.ca.ca.

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I mean, given all these factors, do you think that the next generation of AI winners will be defined less by their breakthrough technology and more by their ability to build out? Yes, yes. And I think that's definitely the case. And I think that's where as a country we have a massive problem. So if you think about the, you know, in the U.S., we're adding about 50 gigawatts of infrastructure or power to the grid per year. And we're talking about the hyperscale is spending hundreds of billions of dollars to the trillion of dollars on their compute infrastructure. And they need to cover a gap that's in the order of 70 to 100 gigawatts at a minimum, right?

And then you kind of take that as comparison to the fact that China adds 540 gigawatts of power to the grid per year. So more than 10 times our capacity. So that means that China, if we consider China to be our rival and this AI dominance, race has 10 to 11 times more capability and capacity than we do to build infrastructure and bring that online. Now, we could argue they don't have the most advanced chips that we do, but it seems like even without those chips, they're already outperforming us, given the most recent open source

models that Chinese companies have released at that are outperforming the close source models that we have in the U.S. So I think we're at a massive disadvantage there as a country, and I think we have to scramble to figure out what sorts of energy infrastructure we can bring online, how fast, what sorts of partnerships we can kind of establish around the world. Because there's massive, massive challenges here in the U.S., not only like the permitting challenges, the grid backlog, and not only the fact that we have to build so much infrastructure, we have the community backlash, we have the essentially lack of resources, labor, to build and construct and electricians and technicians, all of that combined with the fact

that our so-called adversary in this race is 10 to 11 times more powerful than we are. And so I don't really have a solution for it right now, but I think that's a challenge that we have to all acknowledge. Well, you know, we've spent a lot of time talking about some of the infrastructure build-out challenges and the various integrated energy solutions like what X-a-Watt is providing that could help to stem that tide. but I want to go back to something you mentioned earlier, which is this idea of NIMBYism.

Maybe you can define what that means for our audience, and then I'll follow up with my next question. Yeah. So basically NIMBY means that a community or someone that is in the vicinity of the data center is asking not to build that data center in their backyard. And for good reasons, they're saying, look, I'm paying the price of all the pollution

at the state of the center is creating. The real estate is gone for that data center. It's not crazy. Sorry, a lot of jobs. There may be some marginal tax revenue, but for the most part, data centers don't have a lot of ongoing jobs or sustaining jobs. You're taking away my water resources.

You're increasing, essentially, my energy bills because I have to pay for your infrastructure upgrades. So for all of those reasons, you could see why communities don't want data centers in their backyards. And I think there's been kind of an effort now from the administration and also from the hyperscaleas to try to reduce this burden by saying, well, you know, the hyperscale or whoever's building that data center has to start paying for that infrastructure upgrades themselves. They have to kind of bring this online in a way that it doesn't impact the ratepayers and the communities. They have to try to reduce these emissions that are hurting the communities. I mean, one of the things that is really tragic about this is we talk about, you know,

how fast the data center is coming online in certain places. The other thing we don't talk about is like, well, everybody around that data center now has cancer and is dying as a result of that. So, yes, while one company may be saying like, oh, I put out a slightly better model than this other company, the communities around that data center have been massively, massively impacted. So I understand and I have sympathy for them. why you wouldn't want a data center in your backyard.

And I think that's why we're advocating for a model, which we call to build on frontier land. So not in urban areas or suburban areas or even rural areas, but to go out in areas where we have massive amounts of land, massive amounts of energy and solar resources and energy resources as a whole, and we're far away from impacting communities. We're not going to take away their energy resources. And I think that's the shift that needs to happen for us to be able to really build data centers. Otherwise, as you probably know, I think there's over $160 billion of data centers that are currently not coming online this year that we're supposed to be coming

online because of all the community backlash. Many states have already put moratoriums out. Many are considering them, you know, both Democrat and Republican states. This is a bipartisan kind of hate issue, right? Nobody wants this data center build out. And I think we need that data center build out. The infrastructure is required. of course, because we want to advance, we want to kind of stay dominant on the AI front, but we need to do it in a sustainable way. And I think what we've been doing so far hasn't been sustainable. It's been just kind of driven by how fast can I get something online and really not take into consideration what the even short-term impacts of this are going to be, let alone the

long-term impacts. Yeah, I want to talk about this frontier land concept that you have been talking about it. It really kind of flips the legacy model. You know, historically data centers were built where networks and talent already existed. So maybe talk through this idea of why we should be looking more at locations where the reliable energy can be built alongside compute power and how that kind of flips the script on what we think of in terms of, you know, real estate and utilities and infrastructure. Yeah. Again, going back to the history of data center build out, so in the era where power was into constraint, you just built it at a location where, you know, there was at some point of constraint around fiber connectivity, so you want to have access to fiber.

And I think the other thing was that a lot of data center build out was happening with a real estate lens. So also the developers of these data centers are always thinking about, well, what else could I do with this plot of land if it's not a data center or what do I do after the data center, kind of boom is gone? Is there something, is there some other use to this land? And so I think that's why data centers were really concentrated around urban and suburban areas or, you know, especially in place like Virginia, you have like this data center alley

high concentration of data centers. By the way, Virginia is not cheap, land is not cheap, power is not cheap. There's nothing cheap in Virginia. So like you should ask yourself, why do we build so many data centers there? It just doesn't make sense. And I think our opinion is, now that we've really come to a point where data center developers just don't have any more solutions to go build urban and suburban data centers in like prime real estate markets essentially. Now there's a shift to let's go build farther out from cities and towns and even rural areas, frankly, and go build in what we call barren land and frontier land where you have abundant land. 41% of the country is empty, right?

Literally empty. There's nobody living in 41% of the country. And I'm not saying all of that is flat and all of that. that is prime for data center development, but more than enough of it is available to power all the data center capacity that we need in the country. And we can do that sustainably, because in those areas, you have abundant sunshine, you have abundant wind, you have abundant gas resources even, especially think about like Texas and New Mexico and other places like that, and Oklahoma. And we have now also kind of started building data centers in a way

that they're going to be reliant on having massive amounts of construction workers, right? This whole hypothesis behind X-O-WAT is if we can build a modular system in a factory setting where you can have your professional labor, right, in the factory, you don't need to go have them in the middle of the desert, you can then ship out these modules and then install them very easily on site. And the same thing is happening on the data center development as well. You know, where companies are developing much more rapid ways and modular ways of building data center infrastructure. So I think that's where the industry needs to go and is somewhat

going, but we're still going to be seeing a little bit of this short-term impact on the reaction that some states are going to have the data center build out about completely banning them, completely coming to a stop or kind of taking away their incentives. And I think we could revive that in certain areas where it makes sense by showing that there's a model for sustainable data center development. Two and five Canadians will hear the words you have cancer. That's why every step and dollar raised matters. On September 19th, join thousands in Toronto for the Princess Margaret Cancer Foundation Walk.

Challenge yourself, friends, and family to walk 21 kilometers in support of life-saving research. Together, we can carry the fire and help create a world free from the fear of cancer. Register today at PMCFWalk.ca. This episode is brought to you by Accenture. When your advertising operations fall out of sync, everything else follows. Spotify and Accenture are working together to reinvent the rhythm of ad sales, using automation, analytics, and smarter workflows to simplify campaign delivery and access better data across the business.

The result? Less time spent on operations, more time connecting brands with the moments and fandoms that matter most. Learn more at Accenture.com slash Spotify. Yeah, it's fascinating to hear about as well. I guess another question I'd like to ask, are we seeing, you know, the hyperscalers, the tech companies that are building out their data centers? Are they looking at this type of energy generation as the solution to a lot of the problems and bottlenecks that they're seeing right now in the air infrastructure build out? Like, what does that adoption curve look like from your advantage point? I think, yes. I mean, In general, I think there are hyperscalers out there, majority of the hyperscalers out there

are right now trying to build some sort of dispatchable renewable capacity, whether it's taking traditional solar panels and combining them with some short-duration batteries, or whether it's to combine them with long-duration storage technologies, or whether it's to buy and build a full-stack energy solution like the XOIP3. And, you know, we have a massive backlog right now for our product, for our solutions. something that we're working really hard to try to serve as we scale up our manufacturing. But yet, there are definitely a lot of interests for these types of solutions because everyone at the end of the day knows that this is the fastest path, the fastest way to get to electricity. This is the fastest half to electrons that are cost effective, that are sustainable, that are not going to be impacted by supply chain risks, that are not going to be impacting the communities.

And I think it's happening more and more. Again, the last two years, I would say, it was very focused on gas. Everyone thought gas is the end-all-be-all. But now we're seeing this transition more to dispatchable renewables as being the solution. And, you know, there's some other technologies out there, too, that folks are, you know, investing in or thinking about.

And I should say, like, at the end of the day, there is no silver bullet for energy or power. You have to build an energy mix, right? That's ultimately what our grid is. It's an energy mix. So every solution out there should be tested out and tried as much as possible. Some of them have shorter term kind of timelines coming online and lower costs. Some of them have longer term kind of potential.

And yeah, hypers are at the end of they trying everything, to be honest. If you can go sell them power from anything that you can generate power from, they'll probably be a buyer. Well, as we draw to the end, the last few minutes of our conversation today, kind of going back to all the different points that we have discussed in this last bit of time, you know, if you're an investor that is watching the AI infrastructure build out, I mean, that is something that pertains greatly to a lot of the companies that we as investors own and invest in. What are the things we should be looking for to track the health and sustainability of the AI infrastructure build out to, sure that, you know, all of the, the CAP-X that we are seeing flowing into the markets, that it's actually having a valuable, profitable effect for the companies that we invest in. Yeah, I think as an investor, I would look at both the short-term and the long-term. So the short-term is, like, how viable is the plan for this CAP-X build-out going to be in the short-term? Are there than many obstacles facing that from a communities, from an energy perspective, from a labor perspective,

right? So these are a short-term thing. And then the long-term is like, how viable is this going to be in the long run in the sense that are they building this infrastructure around energy sources that are going to be sustainable, not in the sense of green, but sustainable in the sense of they're not going to have supply chain volatility. They're not going to have fuel volatility. They're not going to have kind of, you know, with the change of administrations, potential huge penalties to pay, which is going to be probably the case for a lot of gas data centers, right? If, you know, the change and tune of the administration and policies change around like gas data centers, and I think a lot of hyperscalers are aware of that, they might be up for paying massive, massive penalties for the pollution and the emissions. And also the communities will probably come out and ask for a lot of damages or maybe put these data centers to complete halt. Who knows? So I would look at both the short term and the long term.

I think it's very, very enticing to think about the short term. term because as we discuss, the faster you can get these data centers online, billions of dollars get printed out very quickly. But I think as an investor, I would want to say and look at like how sustainable is that revenue stream? Can we bank on it for another five, 10, 15, 20 years and look at the long term kind of components of the infrastructure build out as well. And then, you know, really, I think in that sense, think about where are these data centers, bills, right? Is that essentially going to be in an area that's sustainable in the long run or not? Oh, I so appreciate your time today, Hanan. It's been really a fascinating discussion and really

interesting to hear about the pace of the build-out, what it's looking like and the work that Ex-O-WAT is doing. Thank you so much for joining you. Yeah, thanks for having the ratio. As always, people on the program may have interests in the stocks they talk about, and the Motley Fool may have formal recommendations for or against, so don't buy yourself stocks based solely on what you hear. All personal finance content follows Motley Fool editorial standards and is not approved by advertisers. Advertisements are sponsored content and provided for informational purposes only. To see our full advertising disclosure, please check out our show notes. For the Motley Fool Hidden Gems Investing team, I'm Rachel Warren. Thanks for listening. We'll see you next time.