(Robert J. Szczerba’s article from the FORBES on 09 July 2026.)
What
Is A Data Center And Why Are They Suddenly Everywhere? Data centers, once
unseen infrastructure, are now being built everywhere. The brief explanation as
to why is scale: soaring AI and cloud demand has made them much more
noticeable.
Data
centers reliably store and process vast amounts of data. Many businesses have
relied on them for decades, but what's changed is that data centers are now
being built to train and run AI, which needs more power and specialized
hardware.
The growing demand of data centers brings significant challenges. While they bring economic benefits like construction jobs and tax revenue, their immense energy and water consumption strain local resources and grids. AI's power needs also make reliable energy access a bottleneck, pushing operators towards on-site generation and new locations.
If
you've driven past a big windowless building, you've probably seen a data
center. Chances are you're relying on one right now, without giving it a
thought. For most of the internet era, these buildings stayed out of sight.
However, now data centers suddenly seem to be everywhere. The short answer as
to why is scale: a surge in AI and cloud demand has made them one of the most
talked-about and fought-over pieces of modern infrastructure.
What Is A Data Center?
A
data center is a purpose-built building that runs large numbers of computers
reliably, securely and around the clock. Inside are the servers, storage and
networking gear that do the work, plus the heavy-duty cooling, backup power and
physical security that keep them running.
One
can be as small as a server room or as large as a windowless campus the size of
several stadiums, wrapped in cooling, batteries, generators and high-capacity
links to the internet and the grid. Software runs the show, spreading out the
workload, flagging failures and handling security.
None
of this is new; companies have run them for decades to keep websites, email and
business software online. What's changed is the size and the job: early sites
mostly stored files, while many of today's biggest are built to train and run
AI, and those workloads need far more power and specialized hardware than
ordinary websites once did.
What Are Data Centers Doing?
Data
centers store data and run the software behind the services people use all day.
Stream a show, send an email, tap a card at checkout, back up a photo or ask an
AI a question, and somewhere a data center does the work and sends it back
almost instantly.
The
core jobs are storing data, processing it and moving it across networks. They
host the cloud platforms companies rent instead of running their own servers,
and they stream video, clear payments, keep business systems online and now
train and run AI models. They also handle quieter work, from corporate
databases to the cybersecurity systems that guard them. As AI has grown, much
of the new capacity goes to the specialized chips it depends on.
The Most Common Types Of Data Centers
There's
no single kind of data center. Most fall into a handful of categories that
differ by who owns them, who uses them and how big they get: enterprise,
colocation, hyperscale, cloud and edge. Hyperscale sites, especially the ones
built for cloud and AI, are behind much of today's building spree.
Enterprise Data Centers
An
enterprise data center is built, owned and run by a single organization for its
own use. Banks, hospitals and government agencies often keep their own so
sensitive systems and data stay under their direct control, usually on their
own property.
These
are usually smaller than commercial mega-campuses and sized to one company's
needs. The catch is cost: you're paying for all the space, power and staff
yourself, which is why many now rent cloud or colocation space instead.
Colocation Data Centers
A
colocation data center rents space, power and cooling to many customers, who
bring their own servers. Think of it as the commercial real estate of
computing: the operator supplies the building, power, cooling and network
access, and tenants own the gear inside.
It's
a good fit for companies that want professional-grade facilities without
building one, and these sites cluster in major connectivity hubs. The biggest
colocation operators are specialized real estate firms: Equinix operates more
than 270 data centers globally, while Digital Realty lists more than 300.
Hyperscale Data Centers
Hyperscale
data centers are the giants: enormous campuses run by a handful of tech
companies to deliver cloud and AI at massive scale. The “big three” are Amazon
Web Services, Microsoft Azure, and Google Cloud, and a single site can cover
millions of square feet.
These
are the ones driving today's building boom, and they carry some of the biggest
power demands of any type. Operators chase cheap electricity, cooler weather,
tax breaks and fiber, which is why so many cluster in places like Northern
Virginia. Because each company runs its own campuses, hyperscalers can
standardize their hardware and squeeze out efficiencies smaller operators can't
match.
Cloud Data Centers
A
cloud data center delivers computing as an on-demand service. Instead of owning
hardware, customers rent servers, storage and software over the internet and
pay only for what they use.
Cloud
and hyperscale overlap a lot, but they aren't the same idea: cloud is the
service model, while hyperscale describes the size and operating style of the
building. Cloud is where many businesses now run much of their software, since
it lets a startup or a Fortune 500 scale computing more quickly than building
it themselves.
Edge Data Centers
Edge
data centers are small sites placed close to users to cut delay. Instead of
routing every request to a faraway mega-campus, they handle time-sensitive work
nearby, which matters for video, gaming, live streaming and connected devices.
They're often no bigger than a shipping container, and telecom carriers and cloud providers keep rolling them out as more apps need instant responses. Edge sites don't replace hyperscale campuses; they handle the last mile while the big facilities do the heavy lifting.
Why Are So Many New Data Centers Being Built?
Many
data centers are going up because demand for computing is climbing on every
front, and AI has poured on fuel. Cloud adoption, streaming, digital payments,
remote work, business software and cybersecurity were all growing steadily
before generative AI added a fresh wave of demand.
For
years, operators clustered near cheap power, cooler weather and fiber hubs like
Northern Virginia. Now they’re pushing into Texas, the Midwest, and rural areas
with land and electricity to spare. Paying for it are the hyperscalers, cloud
and colocation developers, plus infrastructure investors, private equity firms
and power developers.
By
one widely reported estimate, Amazon, Microsoft, Google and Meta are projected
to spend more than $700 billion on AI infrastructure in 2026, up sharply from
about $410 billion the year before. The building can go up in a couple of
years, but lining up land, permits, grid interconnection, power contracts and
cooling can drag things out.
The Controversy Behind Data Centers
Data
centers are controversial because they can be a tax windfall and a grid
headache at the same time. They bring construction work, tax revenue and fresh
infrastructure, but they also lean hard on electricity, water and land while
employing relatively few people once they're running.
The
local upside is real: years of construction work, a handful of skilled
permanent jobs, and infrastructure a small town might never fund on its own.
But the costs land elsewhere. The largest campuses can draw hundreds of
megawatts, enough to rival a small city. That strains the grid and raises an
awkward question about who pays for the upgrades, the developer or everyone
else through their utility bill.
Water
use swings widely. A single large data center can consume millions of gallons a
day, as much as a town of tens of thousands. Noise, land and tax breaks add
friction, too. Virginia's data-center sales-tax break alone cost the state an
estimated $1.6 billion in the most recent fiscal year.
And
the pushback is growing: active local and state moratoriums or restrictions
climbed from a handful in 2025 to roughly 78 a year later. None of this makes
data centers uniformly good or bad. It makes them a negotiation.
For
a community, the useful questions are concrete: how much power it needs, where
it comes from, how cooling water is handled, who pays for grid upgrades and
what comes back in tax revenue.
AI Is Reshaping The Future Of Data Centers
AI
is the biggest new force remaking data centers, fueling their growth and
forcing a rethink of how they're built. Training a model, then running it to
answer prompts (inference), takes specialized chips, denser racks and far more
power than ordinary computing, pushing operators toward liquid cooling and new
energy sources.
Will
that pace hold, or level off? Nobody really knows. Goldman Sachs estimates U.S.
data center power demand could rise from about 31 gigawatts in 2025 to 66
gigawatts by 2027, but that depends on how fast the physical build-out can
follow. Big projects such as the OpenAI-, Oracle- and SoftBank-backed Stargate
initiative are already described in gigawatts, not server counts. For the rest
of us, the payoff could be faster, smarter AI and higher energy bills to match.
Power Is Now The Real Bottleneck
For
years the real constraint on AI was chips. Now it’s shifting to power. In many
markets, developers can line up land and hardware faster than they can secure
grid interconnection, transformers and firm power.
In
some regions, connecting a large new load to the grid can take years, and lead
times for high-voltage transformers now stretch well beyond a year. That
mismatch is why a growing number of operators are building their own power on
site rather than waiting in line.
A
data center is where the digital world turns physical: the buildings behind
streaming, banking, cloud software and AI. They're multiplying because demand
keeps climbing and AI is hungry for computing power. While they create real
value, they also burn through a lot of energy, water, and land. Unfortunately,
that tension isn't going away.
