In the United States, interconnection studies for data centers are not "allowed" by counties, but rather conducted by regional transmission organizations (RTOs), independent system operators (ISOs), or local utilities. However, counties in states like Texas (ERCOT) and New Mexico (SPP/PNM) are currently the most viable locations for these studies due to favorable land-use policies and available transmission capacity. While a county provides the zoning and permits for the physical building, the utility manages the grid connection. Strategic developers prioritize counties with "by-right" data center zoning to ensure that once a complete guide ai data center infrastructure is planned, the grid study can proceed without local land-use delays.
The Interconnection Study: A Gatekeeper for AI
An interconnection study is a rigorous technical evaluation performed by a utility or grid operator to determine if the existing electrical grid can handle the massive power load of a new facility. For hyperscale AI sites, which can require hundreds of megawatts, this process is the most significant hurdle in development.
The study typically occurs in three phases:
Feasibility Study: A preliminary look at whether the local grid has the capacity to support the requested load.
System Impact Study: A detailed technical simulation to see how the new load affects grid stability, voltage, and thermal limits.
Facilities Study: An estimate of the costs and timelines for the physical hardware, substations, transformers, and transmission lines, needed to plug the facility in.
According to the Federal Energy Regulatory Commission (FERC), interconnection queues across the U.S. have swelled, with some projects facing wait times of five years or more. This makes the choice of county and grid operator a critical commercial decision.
Why County Choice Dictates Study Success
While the utility conducts the study, the county controls the land. If a county has not zoned a parcel for industrial or data center use, a utility may be hesitant to begin a formal study. Developers often look for "Data Center Overlay Districts" or counties with a history of supporting large-scale infrastructure.
In the kizerai platform land energy compute model, the focus is on regions where land availability and grid access align. For example:
Texas (ERCOT): Counties in West Texas are often preferred because ERCOT generally operates a "connect and manage" model, which can be faster than the "invest then connect" models seen in the Eastern Interconnection.
New Mexico (SPP/PNM): Counties with vast acreage allow for the co-location of renewable energy, which can simplify the interconnection process by offsetting load requirements.
Navigating the Queue in High-Demand Regions
In traditional data center hubs like Loudoun County, Virginia, the sheer volume of requests has led to "power constraints," where the utility (Dominion Energy) must pause or limit new interconnection studies until grid upgrades are completed. This has pushed developers toward "frontier" counties where the grid is less congested.
When determining how much land for training cluster datacenter projects require, developers must also account for the footprint of the substation required by the interconnection study. A 500MW facility may require 10 to 20 acres just for the electrical infrastructure mandated by the utility.
The KizerAI Advantage in Interconnection
KizerAI focuses on counties in New Mexico and Texas where the path to interconnection is supported by massive, contiguous land holdings. With approximately 500,000 acres of strategic land, the platform is positioned to navigate the complexities of both the is training cluster required hyperscale facility debate and the technical requirements of grid operators.
By controlling the land and the energy strategy simultaneously, KizerAI aims to unlock up to 5 gigawatts of potential power development. This vertical integration reduces the friction between the county’s land-use goals and the utility’s interconnection requirements, creating a streamlined path for institutional AI infrastructure.
KizerAI is developing large-scale AI, data center, and energy infrastructure across strategically positioned land holdings. Get involved →