Data Centers Fuel Local Growth and Opposition Alike

Residents in Vineland, New Jersey, began noticing a persistent mechanical hum in late 2025 that rattled windows and disrupted sleep. The source was a large data center built about a mile from new homes in the area, operated by DataOne on behalf of the Netherlands-based company Nebius. The facility supplies graphics processing units to Microsoft under a deal valued at up to $19.4 billion over five years, with the aim of supporting large language model development and AI tools. Power requirements for the site are projected to reach at least 300 megawatts, nearly twice the generation capacity of Vineland itself.

Local homeowners, including Andrew and Stevi Groetsch, who completed construction on their property in 2021, described the noise as a sudden change after years of relative quiet near farmland. They reported frustration over the impact on daily life and questioned the balance between their tax contributions and the facility's operations. Similar facilities are expanding rapidly nationwide as AI-related investments have driven substantial portions of recent economic growth, with market values for AI companies rising sharply since 2022.

In Holly Ridge, Louisiana, another data center project tied to Meta has produced different effects on the surrounding area. Construction began on what is described as the company's largest AI data center, located in an unincorporated community roughly 10 minutes from Delhi. Angel Crawford, who owns 18 rental properties in the region with her husband, noted that construction workers now make up most of their tenants. The couple entered the rental business after careers in nursing, citing demand in the rural northeast Louisiana market where housing options had been limited.

The contrasting experiences highlight how data center projects intersect with local economies and infrastructure. In Louisiana, the influx of workers has supported rental income and property use in previously underutilized areas. In New Jersey, the emphasis has fallen on immediate quality-of-life concerns and energy draw. Both cases occur amid broader national trends where AI infrastructure accounts for a growing share of capital spending and GDP expansion.

Power needs for these facilities often exceed those of traditional data operations, requiring utilities to plan for higher loads that can affect regional grids. Vineland's situation illustrates the scale, with one site consuming electricity comparable to a mid-sized city. In Louisiana, the focus has been on temporary employment during construction phases, which has indirectly boosted demand for nearby housing without the same level of reported disruption so far.

Policy questions around these developments center on permitting processes, energy planning, and community input. States vary in how they handle large-scale projects, with some offering incentives that accelerate timelines while others face pushback over resource allocation. The New Jersey and Louisiana examples show how outcomes depend on factors like existing infrastructure, population density, and the stage of construction. As AI demand continues, similar tensions and opportunities are likely to appear in additional rural and suburban locations where land and power access align with industry requirements.