# Why the Modern Data Center Is Forcing Communities and Policymakers to Rethink Infrastructure

By Greg Crumpton · Published 2026-04-21 · Updated 2026-06-30 · Building Management on MarketScale
Canonical: https://www.marketscale.com/industries/building-management/why-the-modern-data-center-is-forcing-communities-and-policymakers-to-rethink-infrastructure
Creator hub: Straight Outta Crumpton

> Data centers have moved from largely invisible digital infrastructure to a highly visible source of public debate as artificial intelligence accelerates demand for power, fiber, and compute capacity. The modern data center is now being built closer to population centers to suppor

## Key points

- Data centers are being built closer to population centers.
- Energy pricing is influenced by market structures for data centers.
- There is a growing need for skilled labor in data center construction and maintenance.

Data centers have moved from largely invisible digital infrastructure to a highly visible source of public debate as artificial intelligence accelerates demand for power, fiber, and compute capacity. The modern data center is now being built closer to population centers to support low-latency services, bringing critical infrastructure into direct contact with residential communities for the first time. This shift has elevated concerns around electricity pricing, land use, water consumption, and environmental impact—while policy frameworks and energy markets struggle to adapt at the same pace.

The core issue driving today’s tension is not simply whether data centers should exist, but how the costs and benefits of the modern data center are allocated. Do data centers represent a net burden on local communities, or can they function as a mechanism for modernizing the electric grid, stabilizing local tax bases, and expanding pathways into skilled technical work—if governed with the right market structures and incentives?

That’s the tension at the heart of this episode of Straight Outta Crumpton, hosted by Greg Crumpton, with guest Julia Chuang, Associate Professor of Sociology at the University of Maryland. Together, they unpack how media narratives shape public perception, why energy-market structure changes the “who pays” debate, and what it will take to train—and retain—the specialized workforce needed to build, retrofit, and operate the digital backbone of the AI era.

What you'll learn&#8230;

Julia Chuang is an Associate Professor of Sociology at the University of Maryland whose work focuses on institutions, groups, and how large systems shape behavior and outcomes. Her earlier research examined land use and industrial development in China, including factories, construction, and real estate—ground-level industries that, like today’s data centers, reshape communities through capital, policy, and infrastructure. She now applies that lens to the U.S. data center boom, attending industry conferences and conducting interviews across the ecosystem to understand how data centers affect energy markets, local communities, and the politics of infrastructure.

Article written by MarketScale.

Tags: AI and society, data center infrastructure, energy markets, infrastructure policy, Julia Chuang, power grid modernization, skilled trades, University of Maryland

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