The rapid expansion of AI infrastructure faces a significant bottleneck in skilled labor, particularly for electricians, which is increasingly recognized as a more intractable constraint than chip shortages or power supply. Unlike other bottlenecks that can be mitigated through capital investment, labor shortages require long-term, systemic solutions. Compass Data Centers exemplifies this shift by creating partnerships with community colleges to train electricians and mechanical technicians through 12-week programs, directly addressing workforce gaps while supporting local economies. These programs produce skilled workers at higher wages, who are then deployed across multiple data center projects. Simultaneously, the company has adopted modular, pre-fabricated construction methods—such as pre-assembled power and cooling units—that drastically reduce on-site labor hours, enhance safety, and speed up deployment. Beyond labor, the industry faces community skepticism, which is being countered through transparency on water use (via closed-loop cooling), infrastructure costs (where developers absorb power delivery expenses), and active grid support during peak demand. A shift toward “class A” development—where companies embrace transparency, engage communities, and demonstrate tangible benefits—is seen as essential to gaining public trust. Together, workforce development and responsible, community-integrated design form a critical foundation for sustainable AI infrastructure growth.
I'm Shail Khan. I invest in early-stage companies and energy impact partners. Welcome to Catalyst.
So I've noticed that I keep coming back to this question of what the current rate limiter on AI
infrastructure growth is. As I'm sure you've heard if you listen to this podcast, I think the main
candidates are demand, in theory. Nobody really picks this right now. Chips, power, and labor.
The last one, people mention a lot, but then I've found kind of move right along. Whereas the
others, chips and power, get a deep dive worthy of their rate-limiting status. I think that's
because labor feels to be maybe the most intractable of them all. To a first order,
the AI industry can kind of throw money at the other problems. They can buy chips from AMD
instead.
They can try to convince TSMC to expand capacity. Or on the power side, they could buy gas turbines
to throw behind the meter from GE or Siemens or an air derivative supplier. Or they can
sell out Bloom's fuel cells for years and years and years. Not to say those things are easy,
but when it comes to labor, it's sort of a trickier problem. To be clear,
lots of players in the market are trying to do something, workforce investments of one kind or
another. But I think it's just a little bit outside their comfort zone. Anyway, the results,
this is that I think workforce, particularly for electricians, is maybe the least appreciated,
but certainly one of the most important bottlenecks in this market. And I wanted
to dig into how it's actually manifesting and what one might do about it. For this one,
I brought on Raymond Hawkins, who's the CCO at Compass Data Centers. That's coming up next.
Raymond Hawkins:
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and we need more senior electricians it's both it is not either or um we you could employ more
electricians today without a doubt and you can employ more higher-end electricians today
just the industry is swallowing up the capacity i mean we just like to see in the utility providers
struggling to keep up with our industry from a pace perspective same thing with the electrician
for lack of a word industry or market has struggled to keep up the pace of the growth
i mean it's it's hyperbolic i mean it's on the news every day so everyone knows all about it
but you know to me i think about it just like the utility providers those guys have never heard
numbers this big and never heard numbers coming this fast and that same problem is matter if no
is it manifest in the generation you know transmission distribution side of the business
it's manifest in the who's going to wire this on the other end
are there i mean you mentioned at the beginning it's like it's an expensive problem for you
you
I was having a conversation not too long ago with i'll say an unnamed uh infrastructure person at
one of the hyperscalers who said i think in like half joking fashion i think we're going to be
paying electricians like two million bucks a year pretty soon are you seeing like bidding wars for
talent is that kind of where we're at without a doubt yeah the electrician uh the cost for
electricians you know i'm going to give you a you know estimate has tripled in the time i've been
in the business
tripled and yeah in the last decade yeah so you would think you know if you believe in an efficient
market um that with some some period of time the ability to earn triple wages uh effectively
becoming an electrician would sort of naturally result in a larger workforce maybe not overnight
because it takes time to train but like you know even in the absence of of some of them were the
clever and new programs that folks are are pursuing including yourselves you know the market would fix
itself you would think um do you see that happening so so i i so i agree i believe in an
efficient market i believe that the markets draw talent when there's money to be earned there
and and that is happening we see it happening in basically every market where we work
where there are people uh creating training programs creating uh fast tracks creating
methods and means for people to get up to speed and to supply more capabilities in the marketplace
because the demand doesn't i mean and that's the other thing we talk about a a lease that gets
signed today we're going to be building that campus for four or five years so you know being
able to i mean you could start with someone today and spend two years with them in an apprenticeship
and they're still going to be useful on our campus for three or four years
while we're building there these things don't go up overnight it's a lot of work for a long
period of time and it's a lot of work for a long period of time and it's a lot of work for a long
period of time and so that's one of the reasons we've tried to get into the markets where we are
and start education programs because while we're going to be here for a while we know we're going
to need people at the other end of this let's let's start training in ourselves yeah so tell
me more about that what you guys are actually doing and also you know one thing i've learned
about this space is that you know it's a complicated model or at least historically
it's been sort of a complicated model for how new let's just focus on electricians still get
trained and how they pay for their training for example right a lot of them will do it through
through federal grants and so on it's not historically the case that like an employer
would say i need a ton of new electricians i'll pay for their training or i will sponsor it or
something like that so that that's kind of a new phenomenon so you as the ultimate employer or
maybe not even the employer right because maybe your gc is the employer you're just the you're
just the one who needs them to exist what is the role that you can play in in manifesting them yeah
so you know we talked about i mentioned that you know we're building campuses and those are
multi-year projects so we've looked in the markets and we've you know started the projects and we
said hey um what do we need to get this project finished we need more skilled labor we need more
and you'll hear us use the phrase mechanical electrical and it skills and uh in a marketplace
and can we help the marketplace provide that skill um the biggest campus we have to date is in just
a suburb called red oak and we partnered with a community college there texas state technical
college and said hey if we were able to convince our partners alongside us to build a curriculum
would you be willing to um you know for lack of better word pilot a program where we train in
those three disciplines and so in partnership with texas state's technical college and multiples of
our partners um because to your point right the end user customer is the
general contractor or the electrical contractor he's the one who needs the employees um our
partners so think of schneider electric or siemens people that whose equipment needs to get plugged in
by those electricians have all helped us stand up a a school at texas state technical college a
program to train people 12 weeks you start off you don't have to know anything about the data
center business and you leave on the other end uh a entry level but prepared to go work in the data
center business on the construction side uh
we are i can't i can't remember if we just completed our second cohort or just started
our third but we already have the first cohort through the program and already employed um and
employed at dramatically higher wages than the average in the in where we're located so for us
it's hey there's a problem and it's not only just hey we need people to help build our buildings but
how do we serve the communities we live in it's really a way for us to do two things at the same
time uh help the communities where we're trying to build infrastructure as well as solve a problem
for the industry
i do wonder i guess you know uh you're you're building one massive construction project in a
given location it may be i mean if you're northern virginia there's lots of these right but it may be
that at this location outside dallas or the one outside jackson mississippi it's not like they're
going to be a bunch of data centers popping up in that same region so is the notion you're training
people on this specialized set of things they're going to have a few years of employment while
you're building out this one big
campus and then thereafter they they go travel to wherever the next data center is going to be
i think there's really two tracks after after the campus is done first of all it's years so that
dallas campus will take about five years to build but to your point it will come to an end and for
us i think there's two tracks after that there are long-standing jobs on the campus that having
mechanical electrical or it infrastructure skills you can deploy staying in your home market and then
the industry
certainly has to use your phrase earlier opportunities for journeymen to move to
projects all over right there's wyoming projects and there's projects yards in mississippi there
are lots of more remote large projects going on the panhandle of texas there's lots of big projects
and we certainly expect there'll be people just like we had to do in jackson moving to go work
there for four or five years yeah there's obviously in theory two things you can do about a labor
shortage for uh for data center construction
one is find more people which is what we've been talking about but of course the other is require less people um which has more to do with like the design of the data center and can you prefab some of it and things like that like how much opportunity do you guys see in uh just minimizing the number of labor hours that are totally that are required in total maybe particularly for electricians
yeah i can tell you that's one that's uh been part of compass from the very beginning so i'm gonna toot our horn a little bit
um we we viewed um building data centers as really a manufacturing process from the very beginning of
our business not a stick built construction project but rather an assembly project and and
our motivation there um i know you're asking about how do we manage it does it help with the headcount
problem our motivation there was really a couple of things speed um if if higher quality
and a more diverse workforce if you can you know if we talk about putting a project in jackson
mississippi um almost all of the people that are going to show up in jackson and do the work are
going to be men for lack of a just the dynamic at home someone's got to you know manage the stability
of the household take kids to school and whatnot and so generally it's a more the traveling journeyman
worker is generally a man and so by doing off-site manufacturing putting together large components of
data centers off-site it allows for a safer more diverse and more reliable product right safer for
the the employees more diverse because giving somebody hey you can be here from eight to five
you don't have to live in a different city you can be home in the evening with your family
it allows us to employ more women in the business and it makes the business much
safer to operate right instead of doing complete stick build in the field being able to test and
commission and assemble off-site and just roll it in on a truck my boss gets really mad when i
say this and snap it together like legos he does not like the lego analogy but it really works for
me um that is much safer it's much more reliable it's fewer hours it's far less risk to the people
on site um so for us our motivation was to make the sites safer and faster but what it has led to
is a requirement for less skilled labor less skilled labor at the job site there's skilled
labor now but it's now spread around manufacturing facilities with our partners
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What can you actually prefab? Like, what?
I'm trying to imagine. What are the LEGO building blocks?
Yeah, yeah. Good question. So, almost everything in the electrical world and almost everything in
the mechanical world are prefab for us now. So, think of all the way out from where the utility
comes onto the campus, and I've got a transfer switch, or I've got a transformer that I'm
stepping down. We'll have all of that pre-assembled on a skid so that you don't have to have somebody
wire between the transfer switch and wire between that and the, you know, a transformer. We'll have
the entire power center, you know, everything in there that distributes electricity into the
building all show up in one unit. We have our entire, today, both liquid or hybrid cooling,
so both liquid and air, shows up in a single package unit. So, these things, you're not having
to put together any of it on site. All of our buildings are tilt-up, you know, pre-fabricated
so that the panels show up, and we literally just crane them and set them in place.
So, no one's having to make any of the walls, no one's having to pour any forms or build any
forms or pour any concrete. They all show up on a truck, again, literally just like Legos.
Slab A goes in slot A, slab B goes in slot B, and they get lifted off a truck and slid into place.
So, almost the roof is the same way. We have pre-fabricated double T's that support the span.
Literally, the whole building gets, almost the whole building, it's about 85 percent of the
building, gets snapped into place, showing up on the flatbed of a truck.
That's, it's remarkable that despite all of that, it's still a five-year construction project,
and also, you still need all of these laborers, you're still having a short, like, you've done
so much to modularize it and pre-fab it, and yet, there's still so much more that needs to be done.
Yeah, and the five years, on the example in Dallas, that's because it's 10 buildings,
right? So, it takes us about nine months to build a single building, and then, you know, you go,
well, wait a minute, Raymond, that doesn't have to be five years.
What's the scale of a building? Sorry, what's like in megawatts?
Yeah, 40 megawatts, a little over 200,000 square feet. Help people understand that. Think of
your Sam's Club. Your Sam's Club's probably somewhere between 30 and 40, maybe big ones
are 15,000 square feet. So, think five to six of your Sam Clubs under one roof, and lots of
electricity.
And you said 40 megawatts a piece, something like that.
40 megawatts is what we build today.
Okay, so if you're building five of those, that's a 200 megawatt data center,
or if you're building nine of them, I guess you said, that would be a, yeah.
Yeah, the one in Dallas is 10, so it's 400 megawatts. We have lots of fives and lots of
tens around the U.S., so lots of 200s and 400s. And in the world of data centers today, you know,
I remember, you know, been in this business 13 years. I remember,
we talked about kilowatts. It is completely normal to talk about gigawatt campuses today.
Right. What's the rate limiter on the building, or not the rate limiter,
what stops you from having a, you know, gigawatt building?
So, for us, we've chosen the form factor we have because we have some beliefs about,
you know, how you impact the environment, how you impact microclimates around the building. So,
we've done a lot of study. Lots of CFD happens inside the building,
hey, computational flow dynamics, how am I going to move the energy around? How am I going to move
the heat up? How high do I move the ceiling? Do I have to spend any money letting the heat
move around the room? There's lots of study of what's going on inside the building. We've done
a good bit of study on what goes on outside the building, right? When you have all of this
equipment, not only exhausting, but also sucking air in and pushing warm air out,
you can produce microclimates. So, for us, we've chosen the 40 megawatt form factor to allow us to
spread the building. So, we've chosen the 40 megawatt form factor to allow us to spread the
buildings out and not impact the performance of the equipment. Can you do it in larger form factors?
You can, absolutely. Do I think that we'll move our form factor up? Not anytime soon. We felt
like we figured out a sweet spot between the equipment we buy, the readily available nature
of the equipment we buy, managing the building that size, but certainly people that do purpose
built buildings that are very specific engineering can build larger form factors. It's just not in
our roadmap at this time.
I think we should spend a minute on the community stuff. I mean, it's tied to the, you know,
you mentioned that that is one of the reasons to invest in workforce that's local and so on.
But it's also obviously become, it's flared up as like a really big issue now. What is your
perspective on what best practices should be for a data center developer entering a community to
position yourself to be able to actually build the thing and not get the kind of backlash that
we're seeing right now?
Yeah, sure. I got a lot of feedback on that. I think it's a good question. I think it's a good
one. I've got lots of thoughts on this one. So I might ask you to tap the guardrails and keep me
on message here. But I'd say the biggest one for us is our industry grew up being secretive. Not
secretive because we had anything to hide from anybody. But think about the first two significant
customers for large scale data centers. It was the financial institutions and it was the government.
And they were secretive about where that large compute footprint sat purely from a security
perspective. There was nothing to hide from the community. But they were secretive about where
you didn't want anyone to know where JP Morgan's bank processing big computer sat. So nondescript
building on the edge of town that nobody knew who it was. So our industry grew up with this
secrecy only because it was part of a security plan for very crucial assets, whether financial
or government. That's the history of the business. And we'd never been asked really to be transparent
about where we built. So this notion that somehow the industry was hiding anything, it was part of
the security fabric. And it was part of the security fabric. of the early customers. Now that there are data centers going in lots of places and there's lots
of questions, the industry needs to push the envelope to say, hey, I need to embrace the
communities that I'm in and I need to let people know what I'm doing because, and I'm going to
give a weird analogy, right? People were not crazy about trains when they started. People
thought that if you traveled 30 miles an hour, it would cause your heart to stop. And people
said, hey, I don't want trains in my backyard. Edison had to give away the light bulb. No one
wanted to buy it. And we can't imagine that today, right? But people had to be, you know, he had to
give a light bulb to someone to get them to use it. And I'm not, I'm not comparing us necessarily
to trains or light bulbs as far as transforming, but digital infrastructure is here. It's not going
away. All of us want our cell phones. And what I think, you know, in the world of Compass, we think
about a class A developer. What's a class A developer look like? He embraces the place where
he's going. He embraces his community and says, hey, I want to be a good citizen in the community.
I happen to be a corporation. I happen to be a business. I happen to
run a building, but no different than being a port or a harbor or a train or any other info,
a dam, a water treatment facility. I'm going to be part of the infrastructure. I don't want to be a
good community citizen in that infrastructure. Being transparent about where you go, embracing
your community, offering to help in your community, being a good corporate citizen from a
support, you know, and, you know, paying for the things that you're going to use, right? To us,
that's all part of being a
class A developer. We use that term internally to say, hey, how would you, you know, in the
commercial space, people think of class A office space, and it means something. And we think the
same thing about the data center space. What's a class A data center developer? They're open with
their community. They're helping their community. They're a good corporate citizen in the community,
helping not just from a infrastructure standpoint, but helping from an education, training, jobs,
all of those things. That makes sense to me. I think speaking of education, I guess the other
sense that I have is that
there are some specific concerns that communities have about data centers, and then there's some
amorphous ones that are not really localized, but are a thing. Like this
Specific concerns that you hear about are things like water consumption, impact on electricity bills, things like that.
And then there's some amorphous ones that are like, this is bad for my community, and I don't totally understand why I think it's bad for my community, but it's bad.
And I feel like there's a big education challenge, right?
You have to convince everybody that their rates are not going to go up, that the water consumption is not going to be an issue, that the noise won't be an issue, whatever it is.
The specific things.
And then you also just got to figure out a way to give this generalized sense of this is actually good for us and not bad for us.
And I wonder how you approach the education, community education stuff.
So I think you nailed three of the big ones.
So we get asked about water.
I talked about being transparent, secrecy.
You mentioned infrastructure, the cost of electrical infrastructure.
The other one is, you know, do you?
Do I need this?
Is this generally this bad for me?
What's that big building over there that looks weird?
Do I need this in my community?
Let's go through them real quick.
Water.
So I'm going to quick compass commercial.
We've been waterless cooling since the day we started.
You know, the industry with GPUs has forced, you know, a higher, you know, a more dynamic heat rejection model.
So liquid cooling comes into play.
We just do it with closed loops.
So we're not a constant user of.
Utility water in the, in the marketplace.
We think that's important.
Um, frankly, most of the industry is going that way, but it's completely fair for people to ask the water question.
There's things you need to talk with your developer, talk with the data center in your space and make sure that the water they're using is not coming out of your utility and it's closed loop in that regard.
I think you largely handle the water conversation, um, paying for the electrical infrastructure for us.
Um, we've taken it on ourselves to pay for the infrastructure that delivers power to.
To us, right?
Those generation that's owned by, you know, generally the utility, then there's transmission and distribution, um, and then the substations to get your site powered.
Um, we've taken the position from our very beginning that we pay for anything downstream to get to us, um, and, and put that on our bill so that it doesn't impact rate payers.
Not, and then we take that one step further.
We also want to be a resource to the marketplace.
Um, I saw a video you did about your, um, electric car sitting in your house.
And how much, uh, storage was in that facility in the car.
Uh, I think you compared it to, um, uh, wall units from Tesla.
Same thing, right?
I built a data center.
I got tons of generation on site.
Me and my customer paid for that generation.
Not only do we want to pay to get the electricity to our campus, but in, in the worst times, we want to be a resource to the grid.
We want to be able to generate, uh, or, you know, or turn off our need for grid power and generate it ourselves.
So we try to collaborate in the markets and say, Hey, how can I be?
How can I be a resource for the grid in your most strained times, whether it's snowmageddon in Texas or whether it's summer July in, in Phoenix, uh, we want to be able to say to the, to the, as a class a developer, we want to be able to say to the, to the utility provider, as well as the customers around, Hey, not only are we going to pay it our own way, we also want to be able to help the grid in the, in the toughest times.
So that's water, that's electricity.
And then the, Hey, I'm just not sure data centers are good for me.
Um, it's really a big education, right?
You know,
I, this is not my phrase.
Uh, I read it on an article yesterday, the analog American, the American that doesn't realize they're, they're reading about data centers on their phone and they're tweeting about it on their phone and saying, I don't want it.
And all of that happened in a data center somewhere.
Yeah.
Um, all, all of the things that you're reading and all of the things you're tweeting and saying you disagree with all took place in a building somewhere called a data center and, and not, not to be ugly about it, but just to say, Hey, realize we're not going backwards.
We're not going to get away from a digitally.
Connected world.
And how do we partner with that digital infrastructure in such a way?
How do we partner with our communities in such a way that doesn't scare people?
Hey, this is a good thing for you.
Um, it's a good thing for, for the, for the business.
It's good thing for your community.
And can we do it in a way that makes everybody feel comfortable and safe?
Raymond, this was, uh, a lot of fun.
And I, I, I will say, I really appreciate the way that you frame this, uh, both from the labor perspective and the community perspective.
I think, uh, I think there's a lot, it's going to be, it's a.
It's a tough road for data center developers right now, just, and, uh, from both the practical perspective of getting enough people and then from the, you know, perspective of getting enough buy-in and, and licensed to operate.
So there's a lot of learning to be done there.
So I appreciate you thinking hard about it.
Yeah, absolutely.
It's, it's important for us, important for us as a business, but certainly important for us.
I mean, we could take it all the way to, you know, um, national security, right?
I think, um, having a robust digital infrastructure, I think makes us a better country, a safer country, and it's, I think.
You can't under, you can't overstate how important it is.
Yeah.
All right, Raymond, thank you for your time.
It's been great.
Thank you so much.
Raymond Hawkins is the chief customer officer at Compass Data Centers.
This show is a production of Latitude Media.
You can head over to latitudemedia.com for links to today's topics.
This episode is produced by Max Savage-Levinson.
Mixing and theme song by Sean Marquand.
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Subscribe to Latitude Media for episodes of this podcast and Open Circuit.
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I'm Shail Khan, and this is Catalyst.
Podcast Summary
Key Points:
Workforce shortages, especially among electricians, are a critical and underappreciated bottleneck in AI infrastructure growth.
Data center developers like Compass are directly addressing labor shortages by partnering with community colleges to train entry-level electricians and mechanical technicians in specialized, short-term programs.
These training programs produce skilled labor at higher wages than market averages and create a pipeline of talent that supports both local communities and long-term data center construction.
Pre-fabrication and modular design—such as pre-assembled power centers, cooling systems, and tilt-up buildings—significantly reduce on-site labor hours and improve safety, reliability, and construction speed.
A major shift in data center development is moving from stick-built to assembly-line models, reducing site labor needs while maintaining scalability and environmental responsibility.
Transparency and community engagement are essential for data center developers to build trust, address concerns about water use, electricity costs, and noise, and demonstrate that digital infrastructure benefits local communities.
Class A developers are expected to embrace transparency, pay for infrastructure costs, and become active resources during grid stress by generating power on-site.
Labor and community challenges are deeply interlinked, requiring coordinated efforts in workforce development, education, and responsible infrastructure deployment.
Summary:
The rapid expansion of AI infrastructure faces a significant bottleneck in skilled labor, particularly for electricians, which is increasingly recognized as a more intractable constraint than chip shortages or power supply. Unlike other bottlenecks that can be mitigated through capital investment, labor shortages require long-term, systemic solutions. Compass Data Centers exemplifies this shift by creating partnerships with community colleges to train electricians and mechanical technicians through 12-week programs, directly addressing workforce gaps while supporting local economies.
These programs produce skilled workers at higher wages, who are then deployed across multiple data center projects. Simultaneously, the company has adopted modular, pre-fabricated construction methods—such as pre-assembled power and cooling units—that drastically reduce on-site labor hours, enhance safety, and speed up deployment. Beyond labor, the industry faces community skepticism, which is being countered through transparency on water use (via closed-loop cooling), infrastructure costs (where developers absorb power delivery expenses), and active grid support during peak demand.
A shift toward “class A” development—where companies embrace transparency, engage communities, and demonstrate tangible benefits—is seen as essential to gaining public trust. Together, workforce development and responsible, community-integrated design form a critical foundation for sustainable AI infrastructure growth.
FAQs
The demand for skilled electricians is a major bottleneck, as data center construction grows rapidly and the supply of qualified workers cannot keep up.
Electrician wages have tripled over the past decade, reflecting a significant labor shortage driven by high demand in the data center industry.
They are partnering with community colleges to create 12-week training programs that prepare entry-level electricians for data center construction at higher wages.
Yes, data centers can significantly reduce on-site labor by prefabricating components like power centers, cooling systems, and building panels that are shipped and assembled on-site.
Prefabrication increases safety, reduces construction time, allows for a more diverse workforce, and enables women and families to participate, as work can be done in a stable, daytime environment.
A responsible developer must be transparent, engage with communities, address concerns like water use and electricity costs, and position data centers as beneficial infrastructure.
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