250. Inside the US Datacenter exuberant buildout - Oct26
from Redefining Energy
27m 38s
The global data center industry is experiencing explosive growth, with global capital expenditure projected to surpass $3 trillion by 2030. Driven by AI adoption, companies like Amazon, Google, and Microsoft are investing heavily—KKR estimates AI-linked debt at $600 billion, and 49% of investment-grade bonds are tied to AI. However, this boom is not without challenges. Projects are now massive—often exceeding 200 megawatts—requiring deep expertise in real estate, permitting, power interconnections, and regulatory compliance. Despite strong demand, infrastructure development is bottlenecked by supply chains, political resistance, and lengthy approval processes. The sector’s financial viability is under scrutiny, as credit markets assign high risk to new AI firms, with borrowing rates reaching 9–11%, far above traditional benchmarks. Yet, the industry’s long-term potential remains substantial. Data centers are not just computing hubs—they are vital to modernizing aging power grids, offering stable demand that can drive grid upgrades. Eugene McGrain, a seasoned real estate expert turned data center specialist, emphasizes that the growth is real and grounded, not speculative. While the financial narrative appears overblown, the technical and infrastructural reality—especially in the U.S. and Europe—is robust. Success depends on professional, technically competent teams and credible market players. The sector may face short-term volatility, but its role in enabling future digital and energy systems makes it a pivotal force in the energy and technology landscape.
[Music]
With Laurent Segalan from London and Gerard Reed from Berlin, this is redefining energy.
Today on redefining energy we're going to talk about data centers and a particular we're going to look at the US market and what's going on there.
John, if you look at the global numbers, it's insane.
The world-wide data center of Capex is now expected to surpass 3 trillion by 2030, doubling what we have right now.
It's the biggest GDP bet in America since the right road, but first of all from a partner.
Right now, it seems like the energy world is one wild ride, changing a dizzying speed.
Trists, turns, steep climbs, sudden drops, but volatility doesn't have to slow you down, with the industry's largest proprietary data set.
Expert analysis, interconnected insight and synoptic AI, Wood McKenzie helps you quickly react to any sudden change.
So you can be sure. Woodmax sure. Wood McKenzie, intelligence connected.
Back to the show. And it's burning cash, it's insane. So I've got two numbers. KKR, credit, estimate that AI linked debt for data center, 600 billion.
AI infrastructure company, 40% of the S&P 500.
AI-related companies, 49% of investment-grade bonds instruments.
And if you look at the private market, 87% of VC funding goes to AI. Of course, we've seen the anthropic filing for IPO, I mean, it's wonderful.
A 600 billion of commitment to Amazon, Google, Microsoft, XAI, a bunch of cash, it's crazy.
And I think it's really important to dig into this team because it's highly complex.
Yeah, no, and Laurent, as a result, it's really important to dig into this team. And that's why it's really great to get Eugene McGrain to come on the podcast that I have a discussion around this topic.
Eugene is executive managing director at Cushman Wakefield, which is one of the world largest release state broker.
They used to do warehouses and they used to do office. And somehow they acquired the expertise to do data centers.
Now, when somebody say, okay, that data centers is worth 100 billion.
In fact, you get 50% chips and then you get 20% power and then the rest is cooling and everything.
So it doesn't enter in the chips per se, but you organize everything that's around the world, the permitting, the connection and so on.
So I think it's very important to see that data center wave from the inside.
Absolutely. So let's bring them on the show. Eugene, it's great to have you on the show.
Oh, thanks for having me. Eugene, a very simple question to start with.
You're a real estate expert. How did you become a data center specialist?
Well, like all things in life, a series of coincidence.
I've been a commercial real estate broker for 20 plus years now. I started in California.
And I was at the beginning, just an office broker, you know, working for corporations and dealing with their office leases,
which are kind of just complex contract negotiations and market knowledge.
Through that time, I worked for companies like PG&E and people like Chevron dealing with their real estate issues and assets.
And I was very fortunate. I a dear friend at Chevron.
And he recommended that I, you know, I wanted to learn more about their business.
He told me to read Dean Jürgen's book.
So three books later, I felt like I knew enough about the energy business to not know much.
And in 2021, my wife, who's from Rhode Island, needed to get home.
And so we moved our family across the country in that very unsettled time in the world where, you know, people were not signing new office leases.
They're in, you know, warehouse leases with much certainty, political climate of the time, made a giant push for offshore wind.
And there was a commitment to do 35 gigawatts of power and deliverables and contracts were done and investors were attracted.
And, you know, with my background, I could see two things.
One, that this was real, that the investments were going to be made.
And two, that the companies, especially the Danes, were coming over with a completely different understanding of the power grid and how development work here as to how it worked in Europe.
And so I started advising those companies on what the kind of different obligations were going to be in order to reach the development.
But they had interconnections going through towns that didn't really understand the permitting process and what the obstacles were going to be.
And so as I was doing that, I was doing a lot of infrastructure level power because that's what those developments work.
And then when Chatchee PT hit the market and our kind of worlds changed, I just happened to be one of those people that was working with companies that were doing 200, 300 megawatt projects.
And kind of understood that the basic stuff that those people did, which was not typical in the data center award prior to that.
You know, a large requirement was five megawatts, 20 megawatts.
All of a sudden we were looking at 200 megawatts was, oh, maybe that's not enough. So it was 200 to 500 to gigawatt to know what it is.
And so the expertise that I've been able to grow and build is one that's based in real estate and complexities of developing property.
The financing aspects of developing property, what has to happen, how the steps go, what you have to get through to somebody that kind of understood the PPAs and process that power companies go through.
So it just happened to have kind of a unique set of where I am and my partners who are very, very good at the data center ended this.
Just partner with them and I sit in between and I think about this stuff all the time. So that's who I am that's how I got here.
Yeah, it's a great story. So in a way, you are the right man at the right place.
Because I think all the data center guys, they're good in the soft thing, but when it comes to hard hard part, which is the wars, the terrain, the relationship with the authorities and the connections, you have done that before.
How fast has your practice grown in the past three years?
The amount of time I spend on this has grown significant. These projects are so complex and so large that from a percentage wise, like 100% of my practice, but they take so long to get there that, you know, if I do two or three of these or four or five of these, that's, that's a lot of them.
There's sort of career size projects to work on. It's scale significant. You can just talk a little bit about the hype in this whole area and how you navigate to that and what your thoughts are.
Well, it's interesting because it's evolved. When this first happened, every farmer and every brown field owner, the property in the country, all of a sudden told everybody that they had 200 megawatts or 500 megawatts or some level of capacity.
They could get interconnection because they knew a guy at the PUC or whatever. And because of the size and complexity of these assets, I mean, we're almost at the other end of that now is in my opinion where the hype is more narrative driven than it is on the actual ground of people that are making decisions and people that are writing checks.
This is now the part where the really sophisticated developers have taken it to a place where they have to walk through the individual steps and the presses against them because the story is against them.
So the good comparison is essentially where the fracking business came from. First, it was this energy revolution to an environmental disaster to what it is now, which is really energy independence and changing the map of the world.
The press and the public sentiment became so strong against these projects that they really had to fine tune what the technology was and they had to fine tune what the message was. So the hype now is much more in the financial markets than it is on the ground.
That makes sense to me and maybe I just follow them from that then when you look at it, I suppose I'm trying to get my head around. Do you see the glasses half full of half empty when you look at the potential, right?
I'm a pessimistic optimist. So one of the questions that we always get and that I've answered in a bunch of places and I think as an ongoing question is, are we building data centers and infrastructure?
Is this the 1870s railroad boom or is this some sort of critical resource that we're building in with this is going to define the next 50 years.
We're somewhere in the middle. There is hype in the sector. We talked a bit about some of the players that have emerged as people that can deliver these products, but the vacancy rate, which is, you know, as a realistic guy, the first thing you look at is the vacancy rate.
It tells you what kind of delivery areas. The vacancy rate in these large scale, let's call them 200 megawatts and above projects is less than 1%.
The overall market of the Americas is 3.4%. And that includes everything, which is a lot of legacy stuff that can't really be repositioned to deal with the kind of higher compute requirements.
So if there's a collapse in demand for compute, that would be, you know, pretty fatal for the industry. I don't believe we're going to see a collapse in demand for compute. We may see a collapse in paying for compute.
And that may rattle the people that have done the infrastructure and fast ones, but this is stuff that no matter what happens is going to be used.
It's equivalent to the fiber buildout of the late 90s.
where fiber got built everywhere because there was supposedly endless demand for fiber.
Well, it sat in the ground a lot of places for a long time and now it's being used.
So, glass half full, glass half empty, I think we have a near insatiable demand for compute.
We have a very limited ability to deliver it at the scale that demand is asking for.
And this is essentially the infrastructure buildout to meet that demand.
Will there be carnage in the financials? Certainly.
Somebody's going to lose something somewhere, but this is not pets.com.
Eugene, I like the way you also started there because you also put it in the context of
the railroad buildout and all that type of stuff. That was a revolution, a transport revolution,
industrial. And I think that we're going through the exact same thing. And if there are
going to be winners and losers, but the bottom line is you just need to have to be careful.
That's how I do sensible things. Don't do stupid things.
It's always easy to do stupid things. But every day I read the headlines.
And then every day I answer my phone. And the headlines in the phone don't match up
in a lot of ways, which is the demand continues to be very strong for the needs for this.
And then everybody you're dealing with is using AI.
It's incredibly useful. We've been generating data for 30 plus years that allows for real
productivity. You know, everybody wants better information. And this is the tool to get you there.
If I go back to power and real estate, I remember, because I'm an old man,
27 years ago, Mark Mills, Mark Mills with worship every time he goes to a set of weeks,
said, so end of the 90s, by two or ten, half of the electricity will be used by the internet.
Okay. And basically that triggered a lot of construction of gas and so on, which then led
to the collapse of Calpine and all the bad. It was the big advantage at the time.
I still around. So now, of course, he's saying we need to multiply power by a factor 10.
Now, I'm interested if I look from a basic point of view, Nvidia chips.
So you add the upper, then the black well, now the rubin. And we're going next generation to
the fine man. The energy efficiency of the fine man is going to be 500 times more than the
upper. We should go to two question. The number one is what's going to be the value, especially if
they have those 20 or contract of an upper data center in 20 years, considering the speed of the
improvement. And the second one is the guy everybody loves to hate, but is an engineering genius,
is a long mask. If I look at the development of Colossus, now you've got this new building called
Minihard. And Minihard is about a quarter of the size of the one he built two years ago, and it's
even more powerful. It's very difficult to assess, but that's something that the hyperscaler industry
has done. The energy efficiency gains that people are going to do, which for me is a bigger risk
than the demand for compute. The question is, do you have this type of thinking or
no, as long as there to be fun rings, everything's okay. No, no, the answer is the projects themselves
are the limiting factor on the growth. And because of the size of the projects, because of the
complexity, because of the software guys have never had the plan for power before. They just iterate
the next level of software, and it's just been easy. So they've never had to do this hard infrastructure
level work. Meta at one point wanted to build its own base side mass transit rail station to run
from Palo Alto to San Francisco. And they hired a whole team. They did all the things that would
build an actual rail system. And they got nowhere because involved things that are you've got to
get approval. You've got to get the materials, like the all of the hard structural costs that are
involved with infrastructure are in themselves a limiting factor in the speed of this sort of build.
Now, this feels like it's moving at some level of warp speed. But I would make the argument that
it is basically rate limited or expansion limited by the funnel of can't get a turbine from G
Vinova or Etachi for three years can't get a transformer from those same people for two or three
years. There's the queue. So the demand is so strong and the inputs have so much trouble flexing
up that I don't look at it as oh, where 50 gigawatts ahead of where compute demand is going to be
in 10 years. I think where we are, we're probably par or less than par of where we're going to be
in five to 10 years, especially if the chips are able to get more efficient because I don't
think you're even see compute demand drop. What we've had is it's worth looking at the first internet
boom because that is kind of what's informing a lot of people's prejudices on this. It certainly
informs my I grew up in San Francisco and watched the first dot com boom. That was based so much on
software. It was free. Everybody could figure out how to write a new website and the money that was
being thrown at those companies with being thrown at companies that were just basically ideas. They
didn't have to go out and really do anything in order to get this level of compute that's demanded
today. You've got to build infrastructure that will be valuable in 20 years. And if it becomes a
factor of the chips continue to get more energy efficient, it just allows them to meet. Now there's
going to be some overlap. There's going to be a tipping point where we get beyond that. I don't
think we're there. And I think that what we'll see is projects get abandoned as opposed to projects
being built and then not being used. Well, I just like to add to that to put it into context
is that Google just Google alone. Google has had a sevenfold increase in demand for processing
power in the last 12 months. 700%. Now, of course, what you don't have is 700% increase in energy
demand. But let's say you have a doubling of energy demand because of energy efficiency and
new chips and this isn't the other thing. The point to making is that's going to continue. It
might be sevenfold next year, but that's the same with it doubles. That's what's driving demand.
And that is all of us sitting there and I don't use Google anymore. I use Chachi BT to do my searches.
I want them to do an invitation for something. Guess what? I'm using it. That's the bottom line.
We are driving as consumers. Massive demand for that average because it's useful. And I think it's
just going to become more useful. Eugene, as you said, there is this crazy thirst for more compute,
more buildings and more chips, more everything. And of course, the turbines, I mean, we know that,
but you as a professional when your telephone rings and it's a new client or new developer,
how do you assess how serious that this deal will go through rather than just
paying the sky? You have a secret source here. My first boss always answered the phone.
You never know when somebody's going to want to buy the Empire State Building.
I've been trained with a certain level of optimism and answering my phone. These projects,
one, there's so much more interesting for me to work on than a million square foot warehouse
for Amazon. Those are great projects are very lucrative. But even at the most technical,
it's just high bay warehouse. An office building is just a lease with a subordination
non disturbance on the Toneman Act. It's nothing real great shakes. This is a real technical issue.
So the way you qualify these things is the level of professionalism on the other side.
One of the groups we're working for, the way that I was introduced to them was the former head
of BP's trading desk went to go work for them. That to me spoke of a level of professionalism
and a level of understanding of the market and the economies of scale. That was a real person.
And I think that's something that we should understand. My friend who I was on the phone with
yesterday was a nuclear engineer for Dominion before he went over and worked for Metta as one of
their heads of energy. They're not hiring guys like me to run these things. The guys like me are
figuring out how to get them delivered. But the quality of the people that are involved in this
are really world class. And if you don't have that group of people, if you don't have the market
expert to get into, we have a team. It's like they have a broker in Dallas who has been doing
data centers in Dallas for 30 years and worked for HP when the HP was building out their first
infrastructure. You have to be willing to assemble that kind of group. That's the qualification.
And I'll tell you, in the United States, we're broken up into ISOs. And the ISOs were getting,
I wouldn't call it artificial demand, but they were getting a lot of, hey, maybe this will happen
in their cues because people wanted to just try to get it place and line. They've all basically
come back and said, you need to pay to play and you need to pay real money. So archives charging
quite a bit of money that's non-refundable if you want to place on their interconnection queue.
And you start talking about 300 or 500 or 1000 megawatts. You start talking about having to put real
money into the utilities system. So that's a lot of what drives how serious I take somebody,
the picks up the phone. These are large projects. You should be real people.
Using recently, we've seen the political landscape, which used to be pretty favorable.
And now you've got governors, all of a sudden, so the light, they have an epiphany and they think
that politically it's easier to go with the grumbling of the people rather than the developers.
So do you think it's short term or there's really something in it that's going to pamper the
possible growth?
I mean this is one of my kind of favorite obvious.
So I was in California when Jerry Brown,
his father had been governor,
who had been governor in the 70s,
and then got reelected as governor after
Arnold Schwarzenegger was governor,
and really pulled California out of the recession.
And it was a very, very, very savvy operator,
and was somebody who had been very pro development.
He turned the city of Oakland around.
He banned fracking in California.
Now, most people don't think of California
as one of the largest oil producing states in the world,
but it certainly was.
And the reason the Chevron was headquartered there
is that was standard oils, west coasts,
branch of their oil production.
And the history of oil and energy production in California
runs so deep and the expertise is so, so serious
and the geologists are so good and the technology is so good,
we did not understand what hydraulic fracking
was gonna end up being at all.
In maturation.
And that governor who should have probably known better
led an effort to ban fracking in California
because hydrocarbons were such a dirty word.
And I grew up in California in the 70s, 80s, 90s.
And I remember going to Southern California
and you could eat the air because it was so bad.
So there was certainly reason to be anti-development
of new energy resources.
However, here we are now, we still need that energy
in order to make the transition
into a cleaner energy environment.
I look at data centers, I look at this growth
of hyperscaler mass data collection center
as the major tool to modernize our grid
because we haven't had an economic driver
that has done this as a business case in my lifetime.
There hasn't been anything that could put this kind
of capital to work to upgrade what is 100 year old grid.
And so I think that there's a deep level of short-sightedness
for the governors that are reacting to this
with what will be long-term bands.
I think that there's room for both the technical improvement
that the data center developers are doing
to address things like noise, water, and energy consumption.
But the fact that these guys are a 24/7 base load
standard load operator allows so much work
to be done on the grids that need the work.
I go to California all the time,
but I'm in the Northeast now.
Grid is 100 years old.
Natural gas pipeline just south of San Francisco exploded,
took out a whole neighborhood because it was 100 year old pipe.
And so the only thing that can drive this level of investment
is private industry with a real demand for the power.
And that's what I think is coming.
And that's what I think will be the product
of this as the noise of the opposition comes down.
And we're also in an election year.
So you know, I like your vision and I agree with it
because I think we actually do need to see AI
as part of the solution.
There's a huge amount of flexibility there.
They all have backup power.
They've got batteries in place.
They've storage everywhere.
You can move demand loads around the place.
These guys have got great technology.
Google, for example, has tapestry.
I'm totally which of this is that I think it's I'm by the way,
as you just said, they're willing to invest themselves
and they're willing to sign off-take agreements.
So use it as a seat as an opportunity.
I can't get past that.
The grid's 100 years old and we need to invest in it.
And nothing's going to drive it.
You're not going to go to the PUCs
and demand ratepayers pay more money
because they can't afford it.
Yeah.
Eugene, I don't know if the glass is half full or half empty
but there's certainly liquid into it.
So thank you very much for coming on the show
and having this kind of free willing conversation
because there's a lot of data
but what's important for us are the people.
And you're one of them.
So thank you very much.
It's my pleasure and I would be a real estate broker
at heart if I did give you no answer
to whether or not the glass was half full of it.
Yes, there is water.
So I appreciate you having me on.
Yeah, thanks Eugene, great having you.
- So Gerard, I know you are always a bull.
Always a bull.
And you know why?
- Jeremy.
- Because you're an equity guy.
You love stories.
And me, I'm a fixing con guy.
So I look at credit.
I'm quoting Apollo here.
The credit story in hyperscaler
raised on the single consensus assumption
that the operating cash flow triples
from 600 billion to 2 trillion.
If does not happen, everything's gonna go to junk bonds.
And it started.
Soft bank, when they borrow now is junk bonds.
We've seen the default, or sorry, the fourth measure
from Oracle on the Jupiter project in New Mexico.
What that means now is if you look at the weakest part
of the market and I talk about it almost a year ago,
the blue owl, the co-weaves, the new clouds,
now they borrow at 8, 10, 11%.
What the market says, not the equity jar,
the credit market says it's less risky
to lend to Zambia and Angola than those new clouds.
That's not gonna work.
- Well, actually, I mean, it says probably we're talking
about the equity side as well,
because when you look at some of the valuations,
obviously, Antropic and OpenAI have non-IPO to this point in time,
but that the numbers floated around are just off the charts.
And you sort of wonder, are you ever gonna really be able
to get a return on an investment as an equity investor
in those type of companies?
- I can tell you that all the early investors,
their best PR companies, going non-stop, non-stop,
non-stop on media and pushing it, pushing it, pushing it.
There are very, very few people in the equity
who's gonna say anything, okay?
So you always have the big short Michael Burry and so on.
But the debt, it's the debt you need to check the debt.
If you're business model and we've seen the new clouds
is to borrow at 9% and then lend at 1%.
Yeah, look, you've got a competition from the open weights.
You see the price of compute going down.
So I'm not saying AI is not a revolution,
but what I'm saying is that the financial assumptions
around the investment wave don't make any sense
at the end of 226.
Listen, I think the point you made there's a revolution
and a revolution what actually happens is,
now there's a huge amount of money made
and there's also a huge amount of money lost.
And I think this revolution is gonna be no different.
But nevertheless, Charles, the one who managed
to build a data center, that's where Eugene was great.
So whether it's the whole one or those type of things,
when you manage to build a center,
a data center is very profitable right now.
Oh, absolutely, totally matured.
But that's all development pipeline was just insane.
The reality is great, but the promises just don't believe them.
Good, my friend.
Listen, as I have a good charting.
So I'm looking forward to next week.
Okay, Charles, cheers.
Thank you for listening to redefining energy.
Don't forget to rate the show and subscribe
on Apple Podcasts, Spotify, or the platform of your choice.
Podcast Summary
Key Points:
Global data center capex is projected to exceed $3 trillion by 2030, driven by AI demand and massive private investment.
The data center industry is undergoing a structural shift from small-scale, flexible operations to large, power-intensive projects of 200+ megawatts.
Despite hype, vacancy rates in major projects remain below 1%, indicating strong demand and real-world market confidence.
Infrastructure development is being rate-limited by supply chains, regulatory hurdles, and interconnection delays—not compute demand.
Hyperscalers like Google are seeing sevenfold increases in processing power demand, while energy efficiency improvements could offset rising compute needs.
The data center sector is emerging as a critical enabler for grid modernization, providing stable, 24/7 base-load demand to upgrade aging power infrastructure.
Financial risks are rising, with AI-related firms borrowing at high rates and credit markets now viewing them as riskier than emerging economies.
Success in data center development depends on technical expertise, market understanding, and professional credibility—especially in navigating complex permitting and utility systems.
Summary:
The global data center industry is experiencing explosive growth, with global capital expenditure projected to surpass $3 trillion by 2030. Driven by AI adoption, companies like Amazon, Google, and Microsoft are investing heavily—KKR estimates AI-linked debt at $600 billion, and 49% of investment-grade bonds are tied to AI. However, this boom is not without challenges.
Projects are now massive—often exceeding 200 megawatts—requiring deep expertise in real estate, permitting, power interconnections, and regulatory compliance. Despite strong demand, infrastructure development is bottlenecked by supply chains, political resistance, and lengthy approval processes. The sector’s financial viability is under scrutiny, as credit markets assign high risk to new AI firms, with borrowing rates reaching 9–11%, far above traditional benchmarks.
Yet, the industry’s long-term potential remains substantial. Data centers are not just computing hubs—they are vital to modernizing aging power grids, offering stable demand that can drive grid upgrades. Eugene McGrain, a seasoned real estate expert turned data center specialist, emphasizes that the growth is real and grounded, not speculative.
S. and Europe—is robust. Success depends on professional, technically competent teams and credible market players.
The sector may face short-term volatility, but its role in enabling future digital and energy systems makes it a pivotal force in the energy and technology landscape.
FAQs
The surge in AI demand is driving data center growth, with major tech companies like Amazon, Google, and Microsoft investing heavily. This has led to a projected global data center capex of over $3 trillion by 2030 and a significant increase in private market funding for AI-related infrastructure.
Eugene began as a commercial real estate broker and gained expertise in energy and infrastructure through books and work with companies like Chevron. His move into data centers came during a period of major infrastructure shifts, especially around offshore wind and large-scale power projects, where he developed deep technical and regulatory knowledge.
Key challenges include securing long-term power interconnections, navigating complex permitting processes, and dealing with supply chain bottlenecks—such as delays in turbine and transformer deliveries—making project timelines and development extremely difficult.
While there is significant hype, the vacancy rate for large-scale (200+ megawatt) data centers is under 1%, indicating strong demand. Eugene views the sector as a long-term infrastructure buildout, similar to the late 1990s fiber expansion, where demand is insatiable, even if short-term financial risks exist.
Hyperscalers are building increasingly powerful, energy-efficient facilities—such as Meta’s smaller, more advanced 'Minihard' data centers—demonstrating rapid innovation. These projects show that even small facilities can achieve much higher compute density, pushing energy efficiency to 500 times that of older systems.
Political resistance, such as bans on fracking or opposition to new energy projects, has created hurdles. However, Eugene argues that data centers are critical for modernizing aging power grids, and this long-term need will eventually overcome short-term political opposition.
Chat with AI
Loading...
Pro features
Go deeper with this episode
Unlock creator-grade tools that turn any transcript into show notes and subtitle files.