The Hidden Cost of AI Infrastructure

There were just over 3,900 data centers across the United States as of early 2025, representing roughly 37% of all data centers worldwide. Despite their large numbers, development is highly concentrated in a handful of regions. Virginia, often referred to as the data center capital of the world, leads the nation in facilities, followed by Texas and California. Together, a relatively small group of states hosts a significant share of the country's digital infrastructure.

At its core, a data center is a facility that houses large amounts of computing equipment, including servers, networking hardware, storage systems, and increasingly, powerful GPUs used for artificial intelligence workloads. Businesses use data centers to store information, process transactions, analyze trends, run applications, train AI models, and maintain digital services that millions of people rely on every day.

A simple example would be a software issue on your smartphone. If a company identifies the problem and develops a fix, information about that issue can be stored and analyzed within its systems. This allows engineers to identify patterns, improve future updates, and resolve similar problems more efficiently.

The rapid growth of artificial intelligence is driving unprecedented demand for data centers. However, that growth has also raised concerns among local communities and policymakers.

Because thousands of computers operate around the clock, data centers consume large amounts of electricity and generate substantial heat. To maintain safe operating temperatures, many facilities rely on advanced cooling systems that can require significant amounts of water. The exact amount depends on the design, technology, and size of the facility.

This debate is playing out across the United States, including in Michigan. While Michigan lawmakers have generally supported data center growth through tax incentives and economic development efforts, many local communities have expressed concerns about the impact these projects could have on their towns and cities. Several municipalities have paused, delayed, or closely scrutinized proposed developments as residents seek more information about the long-term effects of large-scale AI infrastructure.

One of the most notable examples is taking place in Saline Township, Michigan. A proposed data center backed by Oracle and OpenAI is expected to span roughly 250 acres and consume up to 1.4 gigawatts of power, with an estimated investment of $16 billion. While supporters see jobs, investment, and technological growth, many residents are asking practical questions. Will electricity bills increase? Will there be noise from cooling systems and backup generators? Could nearby property values be affected? As AI infrastructure expands across the country, Saline Township has become a real-world example of the debate between technological progress and community impact.

Across social media and in local communities, opposition to new data center projects has become increasingly common. Residents often express concerns about the potential impact on electricity prices, water resources, land development, and quality of life. Some studies and projections suggest that growing electricity demand from AI and cloud infrastructure could place upward pressure on energy costs in certain regions.

At the center of the discussion is a growing tension between economic development and community impact. Supporters argue that data centers bring investment, tax revenue, technological leadership, and infrastructure improvements. Critics question whether the economic benefits outweigh concerns related to energy consumption, water usage, environmental impact, and local resources.

Some of the most common concerns surrounding AI data centers include:

• Water usage

• Electricity demand

• Land usage and development

• Long-term sustainability

• Noise from cooling equipment and backup systems

• Potential impacts on nearby property values

As artificial intelligence continues to expand, the debate surrounding data centers will likely become one of the most important infrastructure discussions of the next decade. The challenge for communities, businesses, and policymakers will be balancing technological progress with the practical concerns of the people who live nearby.

Michigan serves as a useful example of this broader national conversation. State leaders see an opportunity to attract investment and participate in the growth of the AI economy, while local residents want assurances that the costs of that growth will not outweigh the benefits. How that balance is achieved may help shape the future of AI infrastructure across the country. 

Data Centers in space may not be so bad after all. 

JP