1819

AI data centers explained: Pros, cons, costs and impacts

They’re coming to towns across America, possibly yours

Behind the AI boom is a very real, and notably physical, infrastructure boom.

Data centers.

They're being built across the country, promising jobs, investment and technological progress. But they also demand enormous amounts of electricity, water and land, fueling a growing debate over who benefits and who pays.

Attendees during a session at MidwestCon

Attendees during a session at MidwestCon. Photo/Lindsey Barnett

Opinions on both sides have been loud. Supporters call them essential to the country's economic and security future. Critics call them power-hungry neighbors who give little back to the people who live beside them.

Tech and policy experts at MidwestCon 2026 argued that the truth lies somewhere between the two. The event drew AI enthusiasts and skeptics alongside policymakers, entrepreneurs and businesspeople to talk about the future of AI and the infrastructure that powers it.

MidwestCon was held at the University of Cincinnati's 1819 Innovation Hub, a fitting spot. Ohio had the fourth-largest collection of operational data centers in the country as of February 2026, and cities like Cincinnati are taking on a bigger role as AI funding and attention shift inland from the coasts.

Digital Futures
Exterior of the new Digital Futures building

UC Digital Futures, part of the Cincinnati Innovation District. Photo/Andrew Higley

The 1819 Innovation Hub has helped drive the Cincinnati Innovation District. It hosts the Venture Lab business accelerator and dedicated workspaces for AI-driven firms such as Microsoft, Procter & Gamble and U.S. Bank. Its entrepreneurial ecosystem includes companies building robots that can work alongside humans on factory floors, startups using AI to improve video content creation and businesses applying machine learning to national security.

Here's a look at the pros and cons of AI data centers, plus how their rapid growth could affect the communities that host them.

AI data centers, defined

An AI data center is an enormous facility packed with a network of computer servers and specialized equipment that supplies the tremendous computing power AI demands.

Data centers aren’t new. The idea behind them is decades old. One of the earliest examples was the University of Pennsylvania’s Electronic Numerical Integrator and Computer, completed in 1946. While that computer covered 1,800 square feet, today’s largest facilities, known as hyperscale data centers, can stretch across millions.

Networking service. network engineer administrator checking server hardware equipment of data center

Engineer working at a data center. Photo/Kadmy via Adobe Stock

Imagine taking roughly half of the University of Cincinnati’s 200-acre Uptown campus and filling it with servers, cooling equipment, substations, backup generators and other infrastructure. That’s the standard size for hyperscale AI data centers. The biggest projects can be several times larger.

Now you can understand how AI helped change data centers' scale and why this is such a hotly debated topic. Today's facilities are significantly larger and more powerful, and they demand far more of two limited resources: electricity to keep them running and water to cool many of their systems.

What to know about AI data centers

A building full of computers isn't a major job creator, as servers may need only a few people each to operate them. Constructing the facility is where the biggest boost in jobs comes from, involving hundreds to as many as 1,000 on-site workers.

The AI boom has pushed up demand for project managers, electricians, HVAC technicians, pipefitters and welders. Wages in the industry have skyrocketed in tandem, per The Wall Street Journal.

Initially, there is job growth. That job growth usually isn't sustained.

Robert Gordon Senior strategic leader for AI and digital innovation, DSS Inc.

Once construction crews complete the project and a data center is up and running, it needs very few people. Hyperscale facilities generally employ somewhere between a dozen and a few hundred workers internally. A 2026 analysis in Virginia, home to more data centers than any other state, found they create one permanent job per $13 million invested. Across all other sectors, the figure is one job per $137,000.

“Initially, there is job growth,” said Robert Gordon, senior strategic leader for AI and digital innovation at DSS Inc., during MidwestCon.  “That job growth usually isn’t sustained. There may be thousands of jobs that come in initially, but to run a data center requires far less people.”

That gap splits opinion. Construction and skilled trades workers see immediate benefits. Many others see much less in return.

AI is increasingly central to the economy, global security and even social life. The U.S. and other countries treat AI leadership and continued investment as essential to staying relevant on the world stage.

The Center for Strategic and International Studies, a nonpartisan research organization, says that “as AI becomes a strategic technology, expanding secure supportive domestic infrastructure is increasingly a prerequisite for U.S. technological leadership, economic competitiveness and national security.” Its report continues, “The global race for AI leadership is, in many respects, a competition to build and sustain the infrastructure that sustains innovation.”

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Countries such as China (pictured) and Japan are racing to catch up to the U.S. in AI. Photo/UC Marketing + Communications

Put simply, a country's computing capacity largely determines how well it can innovate in the years ahead. The U.S. has by far the world's largest computing capacity and level of investment, but China, Japan, European countries and states along the Persian Gulf are racing to catch up, and in many cases winning on energy infrastructure and public support.

Gordon mentioned how experts argue that AI data centers will be an inevitable piece of the future. “We do need these data centers across the country to be able to power up the kind of artificial intelligence that we will be using, and that our communities will be using as well,” he said.

Hyperscale data centers consume enormous amounts of electricity, and their rapid growth is straining both the power grid and household budgets. A June 2026 report by the Lawrence Berkeley National Laboratory found that data centers across the U.S. used a combined 192 terawatt-hours of electricity in 2024, or 4.7% of the nation's overall consumption.

The grid hasn't grown at the same pace, putting heavy pressure on the American energy infrastructure. Consumers are feeling it. A 2026 report by the Natural Resources Defense Council estimates that the spread of data centers over the next few years could make the average Ohio household pay $70 more per month on their energy bills.

Vibrant Colored Image of two cooling towers of a nuclear power facility in Tennessee, USA on a Sunny Autumn Day. A facility like this creates jobs for the local economy, provides carbon-free electricity to the region, and reduces greenhouse gas emissions.

Electricity bills have increased due to AI data centers. Photo/Jeremy Poland

The backlash has been intense, and it's pressuring lawmakers and tech companies to find a fix. Many Americans believe data centers and the companies that run them are driving up electricity rates while providing few jobs. U.S. President Donald Trump said in August that AI data centers “could use a little public relations help,” and plenty of Americans seem to agree.

“Who bears the cost?” asked Manimala Kumar, senior technical program manager at Nvidia, during a MidwestCon panel session. “Is it the community? Is it the ratepayer? My stance will be to make it balanced. ‘Hey data center company: You want some benefits, you also have to bear the risk of the business.’”

Lawmakers across much of the country are still scrambling to keep up with data centers, but some places have come out well ahead. Loudoun County, Virginia, which holds the world's largest concentration of data centers, has put measures in place to make sure residents benefit.

According to The New York Times, Loudoun expects to collect $1.3 billion in property tax revenue from data centers in 2027, about 40% its entire budget. Over the past decade, that money helped the county cut homeowners' property taxes by 30%, which offsets some of the potential rise in energy rates.

There can be a great tax benefit for communities as well when data centers do come in.

Robert Gordon

“There can be a great tax benefit for communities as well when data centers do come in,” Gordon stated. Tax credits and breaks have reduced or eliminated that gain in many locations, however.

States such as Georgia, Ohio, Texas and Virginia initially offered tech firms generous tax breaks to open in their states, costing them billions in revenue. Many are now rethinking those incentives or pulling them entirely as they look for better deals for residents.

Meanwhile, the energy sector is gaining from the boom. S&P Global forecasts that U.S. utilities will invest $1.3 trillion in capital projects over the next five years. The firm says, “U.S. electric and gas utilities are significantly ramping up planned infrastructure investments for the 2026-2030 period, driven by a forecast surge in energy demand from the rapid expansion of data centers.” That investment could help keep America competitive for decades.

Hyperscale data centers use enormous amounts of resources and can cause serious pollution when poorly managed. A few examples:

AI data centers could contribute to air pollution in nearby regions

AI data centers could contribute to air pollution in nearby regions. Photo/UC Marketing+Communications

“What happens when a data center is [present] there?” Kumar asked. “There is a power consequence, there is a water consequence, because data centers consume these resources. To run the data center we need power, and to cool the data center water comes into the picture. There are environmental consequences.”

The potential harm to the environment and to people who live nearby is considerable. Many states are tightening standards for energy use, water consumption and air pollution, while the federal government remains largely on the sidelines, at least for now.

AI has risks, but plenty of rewards

AI has become central to the economy and increasingly so for daily life, and data centers are what keeps it running. So, the debate has moved on to how these facilities will operate, where they'll be built and whether their downsides can be reduced.

Microsoft's workspace at 1819

Microsoft's workspace at 1819. Photo/Gregory Glevicky

Reconciling an AI-powered world with household budgets, fair tax policy and environmental responsibility will take new ideas. At the University of Cincinnati's 1819 Innovation Hub and across the Cincinnati Innovation District, those conversations and that research happen every day.

In the building, the NEXT Innovation Scholars are forecasting what comes next in AI while startups test new ideas at the Venture Lab business accelerator. Meanwhile, Microsoft and other partner companies are performing AI research and training. That work grows more relevant, in Cincinnati and beyond, as AI and the infrastructure behind it keep expanding.

Frequently asked questions

A data center is a building filled with computer servers and supporting equipment to supply computing power. While data centers often power AI, not all of them do.

A hyperscale data center is the largest form of a data center. These massive facilities usually house thousands of servers and are used to power AI, among other products.

As of 2026, the states with the most operational data centers are Virginia, Texas, California, Ohio and Illinois. The states with the most new data centers planned are Virginia, Texas, Georgia, Illinois and Arizona.

The pros of data centers are that local economies can benefit from their construction, communities often gain additional tax revenue and increased investments in energy infrastructure, and the facilities help the U.S. maintain its computing edge over other countries.

The cons of data centers are that they provide few jobs once built, they typically raise electicity rates significantly and they can lead to major environmental concerns.

Featured image at top: Data center in California. Photo/iStock

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