Counties that allow gigawatt-scale data centers are typically those with vast tracts of industrial-zoned land, proximity to high-voltage transmission infrastructure, and a regulatory environment that favors large-scale infrastructure. While Northern Virginia’s Loudoun and Prince William Counties have historically led the market, the shift toward artificial intelligence (AI) is pushing development into counties in Texas (such as Milam and Williamson) and New Mexico (such as Lea and Bernalillo). These regions offer the rare combination of land availability and energy capacity required to support 1,000 megawatts (1 GW) or more of compute power.
Understanding the Gigawatt Scale for AI
In the context of the complete guide ai data center infrastructure, a "gigawatt-scale" facility represents a massive leap from traditional enterprise data centers. One gigawatt is equivalent to 1,000 megawatts, enough to power roughly 750,000 homes simultaneously. For AI infrastructure, this scale is necessary to house the tens of thousands of high-performance GPUs required for training large language models (LLMs).
Achieving this scale requires more than just a permit; it requires a specific intersection of geography and policy. According to the U.S. Department of Energy, the primary bottleneck for gigawatt-scale development is grid interconnection and the physical capacity of transmission lines to deliver high-density power without destabilizing local service.
Key Counties for Gigawatt Development
While many counties technically "allow" data centers, only a few have the infrastructure to support gigawatt-level loads.
Texas (The ERCOT Advantage): Counties in Texas are increasingly the preferred destination for gigawatt-scale projects due to the independent ERCOT grid and streamlined permitting. Counties like Milam and Williamson have become hubs for massive industrial campuses. Texas offers a "Right to Patch" and competitive energy markets that allow developers to secure large power blocks more rapidly than in regulated markets.
New Mexico (Land and Renewables): New Mexico is emerging as a critical frontier for hyperscale development. The state’s vast, flat acreage and high solar/wind potential make it ideal for the how much land for workforce pipeline datacenter requirements of AI. Counties such as Lea and Bernalillo provide the physical space necessary for the massive cooling systems and substations that define 1 GW campuses.
The Shift from Virginia: While Loudoun County remains the "Data Center Capital of the World," power constraints reported by Dominion Energy have forced developers to look elsewhere. This has led to the rise of "secondary" markets that are now becoming primary targets for AI-specific infrastructure.
Zoning and Community Alignment
For a county to successfully host a gigawatt-scale facility, the relationship between the developer and the community must be proactive. This is where nimby to community benefit agreements become essential. Gigawatt-scale projects bring significant tax revenue, often tens of millions of dollars annually, which can fund local schools, roads, and emergency services.
However, these projects also require a clear strategy for local impact. Counties that succeed in attracting these investments usually have:
Clear Industrial Zoning: Pre-zoned land that minimizes the need for lengthy public hearings.
Infrastructure Partnerships: Close coordination between the county, the utility provider, and the developer.
Workforce Development: Ensuring the local population can support the construction and operation phases. Many counties now ask: is workforce pipeline required hyperscale facility? The answer is increasingly yes, as these facilities become long-term economic anchors.
The KizerAI Approach to Scale
KizerAI is positioned to meet this demand by developing large-scale AI and energy infrastructure across strategically positioned land holdings. With approximately 500,000 acres of strategic land in New Mexico and Texas, the platform is designed to support up to 5 gigawatts of potential power development. By focusing on vertically integrated land and energy resources, KizerAI addresses the primary constraints of the AI era: space, power, and speed to market.
As the industry moves toward larger clusters, the counties that will thrive are those that view data centers not just as warehouses, but as essential components of the national economic and energy infrastructure.
KizerAI is developing large-scale AI, data center and energy infrastructure across strategically positioned land holdings. Get involved →