A family-controlled land portfolio spanning nearly 500,000 acres across the Texas Panhandle, eastern New Mexico, and southeastern Oklahoma is now available for AI data center development, with sites ranging from 100 megawatts to over 1 gigawatt in capacity. Kizer Holdings, Inc. announced the launch of Kizer AI on September 16, 2026, positioning itself as a turnkey solution for hyperscalers seeking land, power infrastructure, and accelerated site development timelines.

The move addresses a critical bottleneck in AI infrastructure expansion: finding large, contiguous parcels with existing access to power, natural gas, water, and fiber connectivity. Rather than forcing developers to negotiate with multiple landowners or spend months on site diligence, Kizer AI has already underwritten every acre using proprietary AI-powered analysis, identifying lead sites and modeling the cost of critical first-mile infrastructure before developers commit significant capital.

What Makes This Land Platform Different From Other Data Center Sites?

Kizer AI's competitive advantage rests on three foundational assets: scale, infrastructure access, and pre-vetted site selection. The company controls nearly 500,000 acres under a single development platform, eliminating the fragmented negotiation process that typically delays large campus development. Lead sites are positioned near major transmission lines, natural gas trunk lines, water resources, and fiber corridors, with some locations already adjacent to planned substations and interconnection infrastructure.

The company's three primary development zones showcase the strategic positioning. In Randall County, Texas, two sites at the Amarillo city limit can accommodate up to 1.5 gigawatts of data center capacity, with natural gas infrastructure along property boundaries and the Interstate 40 long-haul fiber corridor approximately one mile away. In Roosevelt County, New Mexico, a 345 kilovolt transmission line crosses the property, and the adjacent interstate pipeline has available capacity that could support up to 3 gigawatts of generation. In Torrance County, New Mexico, a 17,000-acre block sits approximately 0.3 miles from an interstate gas line, with solar and wind development on adjacent land potentially supplying approximately 60 percent of a campus's annual energy requirements.

"Every developer in this market is chasing the same three things: power, land and time. We have all three under one signature," said Matt Atkinson, CEO and Co-Founder of Kizer Holdings, Inc.

Matt Atkinson, CEO and Co-Founder of Kizer Holdings, Inc.

How Does Kizer Parcel Intelligence Help Developers Evaluate Sites?

• Comprehensive Parcel Database: Kizer Parcel Intelligence (KPI) holds records on 152 million parcels nationwide and has scored 17.1 million parcels across Texas, New Mexico, and Oklahoma against more than 50 criteria, enabling rapid assessment of development potential.
• Multi-Factor Infrastructure Scoring: The platform evaluates transmission lines, substations, interconnection queues, natural gas availability, behind-the-meter generation potential, water access, fiber connectivity, flood risk, environmental factors, airspace restrictions, permitting timelines, tax jurisdictions, and local political climate for data centers.
• Cost and Timeline Modeling: For any parcel, KPI determines what can potentially be built, at what scale, how quickly it can reach power, and the estimated cost to make the ground development-ready, with all underlying figures traced to public sources.
• Broader Market Access: Developers, hyperscalers, utilities, investors, law firms, investment banks, consultancies, and site-selection advisors can use KPI before committing significant capital to a site, with the platform designed to evaluate infrastructure development opportunities on parcels throughout the United States.

Kizer Holdings built KPI initially to determine where best to allocate infrastructure investment across its own land holdings. The company is now scaling the platform to evaluate every parcel on American ground, recognizing that site selection remains a critical constraint in the race to build AI infrastructure.

"KPI scores ownership, power, gas, water, fiber, flood, permitting and local politics for every parcel, and every number traces to a public record," explained Param Vora, Co-Founder and Chief Technology Officer of BlackForge Data Centers.

Param Vora, Co-Founder and Chief Technology Officer of BlackForge Data Centers

Why Is This Launch Significant for AI Infrastructure Growth?

The AI industry's explosive growth has created unprecedented demand for data center capacity, but infrastructure constraints have become a limiting factor. Hyperscalers require not just land, but land with immediate access to reliable power, water, and connectivity. Traditional site selection involves months of due diligence, environmental assessments, permitting negotiations, and infrastructure feasibility studies. By pre-underwriting sites and modeling infrastructure costs, Kizer AI aims to compress this timeline significantly, allowing developers to move from site selection to shovel-ready development faster.

The geographic focus on the Texas Panhandle and eastern New Mexico is deliberate. The region benefits from three interstate natural gas trunk lines crossing the land, the Southwest Power Pool's first 765 kilovolt transmission line routed through both lead counties, and an 11-gigawatt data center campus already under construction just a few miles away. This clustering effect creates network benefits for developers, with established supply chains, workforce familiarity, and grid infrastructure designed to support large-scale power demand.

Shannon Kizer, Co-Founder of Kizer Holdings, Inc., framed the initiative as a generational opportunity to support American infrastructure growth. The family has spent decades assembling and protecting the land portfolio, and the launch of Kizer AI represents a strategic decision to deploy those assets in service of the AI economy's infrastructure requirements.

The platform's success will depend on whether developers view pre-vetted sites and AI-powered infrastructure modeling as sufficiently valuable to justify committing to Kizer AI's portfolio. If adoption accelerates, the model could reshape how large-scale data center campuses are developed, reducing the time and capital required to move from site identification to operational facilities. For the AI industry, which faces persistent power and land constraints, such acceleration could prove transformative.