Developers are not competing for acreage. They are competing for sites where power, connectivity, permits and timelines already align.

Drive far enough outside almost any growing American city and you will find land.

Large parcels. Flat parcels. Cheap parcels. Properties near highways, transmission lines and industrial corridors. Hundreds of acres carrying ambitious descriptions about future technology campuses and economic development.

From a distance, many of them look ready for AI.

Most are not.

A data center cannot operate on acreage alone. It needs enormous amounts of electricity, multiple fiber routes, cooling infrastructure, transportation access, buildable soils, environmental approvals, skilled labor, supportive policy and a community prepared for the scale of development.

Most importantly, it needs those systems to arrive on the same timeline.

That is what makes the race for AI-ready land different from a traditional real-estate boom.

The market is not simply rewarding ownership.

It is rewarding coordination.

The Short Answer

AI-ready land is property capable of supporting data-center or AI infrastructure development within a credible, documented timeline.

It is not defined only by acreage or proximity to a transmission line.

A Serious AI-Ready Site Must Combine:

• Contiguous and buildable land

• Verified power capacity

• A realistic energization schedule

• Scalable fiber connectivity

• Cooling and water strategies

• Appropriate zoning and entitlements

• Environmental and geotechnical readiness

• Transportation and construction access

• Community and political support

• A viable development and financing plan

When these systems are sufficiently advanced, ordinary real estate begins functioning as infrastructure.

This is Powered Land.

It represents more than property with utilities nearby. It is land where the uncertainty surrounding development has been reduced enough for a major customer, operator or investor to act.

The Signal

Power availability is beginning to outweigh traditional real-estate considerations in data-center site selection.

JLL’s 2026 Global Data Center Outlook identifies speed to power as the primary criterion driving site selection and reports that average grid-connection waits in major data-center markets exceed four years. JLL

CBRE says the ability to secure deliveries of 300 megawatts or more within 36 months can now outweigh pure connectivity considerations. The firm also reports that greenfield sites offering power within 18 to 36 months are highly sought after. In certain Northern Virginia and Northeastern transactions, site costs have exceeded $8 million per acre. CBRE 2026 Outlook CBRE North America Data Center Trends

That is not normal land appreciation.

It is an infrastructure premium.

The underlying acreage did not suddenly become more productive because the soil changed. Its value increased because the site offered something the market could not easily create elsewhere:

A credible path to power.

The Acreage Illusion

Large parcels attract attention because modern AI campuses require scale.

A multi-building development may need room for data halls, substations, cooling systems, battery storage, backup generation, stormwater management, security setbacks, internal roads and future expansion.

But acreage can create a false sense of readiness.

A 1,000-Acre Property May Still Be Unusable If:

• The utility cannot serve the requested load

• Transmission upgrades will take a decade

• The nearest fiber route lacks capacity

• The site requires major grading or soil stabilization

• Floodplain or environmental restrictions limit construction

• Water or wastewater systems cannot support the design

• Local zoning does not permit the intended use

• The community opposes large-scale development

• Equipment delivery routes cannot accommodate transformers and heavy machinery

• Several owners control the required parcels or rights-of-way

The property may be large enough.

That does not mean it can be developed.

The first mistake in evaluating AI-ready land is assuming that physical size and infrastructure capacity are the same thing.

They are not.

The Seven Tests of AI-Ready Land

The land race can be understood through seven tests.

1. Site Control

Before infrastructure can be planned, a developer must control the property.

That may involve direct ownership, purchase options, development agreements or a coordinated assemblage of multiple parcels.

Clean site control matters because utilities, investors and customers are unlikely to commit significant resources to a project that could unravel through fragmented ownership.

A project requiring dozens of landowners, easements or unresolved access agreements carries additional execution risk.

The first question is not simply who owns the land.

It is whether one development plan can control the entire site.

2. Physical Developability

The property must be capable of supporting the proposed campus.

Developers Need to Evaluate:

• Topography

• Soil conditions

• Flood risk

• Wetlands

• Drainage

• Seismic conditions

• Wildfire exposure

• Environmental contamination

• Air-quality restrictions

• Protected habitats

• Security setbacks

• Noise requirements

• Construction staging

• Heavy-equipment access

A low purchase price can quickly become irrelevant when a site requires extensive grading, remediation or infrastructure relocation.

Cheap land can be expensive to make useful.

3. Power Capacity

This is the decisive test.

A transmission line running across a property does not mean hundreds of megawatts are available. The line may be fully allocated, operating at the wrong voltage or unable to accept another large load without substantial upgrades.

A Serious Assessment Must Determine:

• Which utility serves the property

• How much capacity is available

• When that capacity can be delivered

• Which substations and transmission lines will serve it

• What upgrades are required

• Who will pay for those upgrades

• Whether long-lead equipment has been reserved

• How the load will ramp over time

• What happens if the project develops more slowly than expected

• Whether onsite or behind-the-meter generation is permitted

Power availability must be documented through engineering, utility studies and contractual commitments.

“Near power” is not the same as “powered.”

4. Connectivity

AI-ready land needs scalable, diverse fiber access.

A nearby route may have insufficient strands, limited capacity or no practical connection point. Two carriers may appear available while using the same physical trench.

Developers Must Identify:

• Existing fiber routes

• Carrier ownership

• Available capacity

• Dark-fiber options

• Cloud on-ramps

• Interconnection locations

• Latency to priority markets

• Construction requirements

• Physically diverse backup paths

Connectivity affects more than operations.

It can influence whether a customer considers the site at all.

5. Cooling and Water Strategy

Not every AI data center will consume large amounts of water, but every facility must reject heat.

The proposed cooling architecture must match the site’s climate, resource availability and operating requirements.

Developers may consider air cooling, closed-loop liquid systems, dry coolers, evaporative technologies, reclaimed water, thermal storage and hybrid designs.

The important question is not simply whether a water line reaches the property.

It is whether the site has a credible, resilient and publicly defensible plan for managing heat.

6. Entitlements and Permitting

Land gains value when uncertainty is removed from the approval process.

That May Require:

• Annexation

• Rezoning

• Conditional-use permits

• Development agreements

• Environmental reviews

• Building approvals

• Air permits

• Water and wastewater agreements

• Road improvements

• Utility rights-of-way

• Tax or incentive agreements

A site that is properly zoned and entitled can save years compared with a property beginning the process from zero.

Permitting speed does not mean avoiding scrutiny.

It means creating a clear process, addressing impacts early and giving developers confidence that decisions can be reached on a predictable timeline.

7. Community Readiness

A technically strong site can still fail without community support.

Large data centers can create questions about electricity costs, water use, tax incentives, noise, land consumption, construction traffic and the number of permanent jobs created.

Communities that address these questions early may be better positioned than those waiting for a major project announcement.

Readiness Includes:

• Transparent public information

• Utility coordination

• Defined infrastructure responsibilities

• Workforce-development plans

• Water and sustainability commitments

• Road and emergency-service planning

• Community-benefit agreements

• Protection against cost shifting

• Long-term land-use planning

Community support is no longer separate from site readiness.

It is part of the asset.

Time to Power Changes Everything

Commercial real estate has traditionally been evaluated through location, access, demand, land cost and expected return.

AI infrastructure adds another measurement:

How quickly can the site become operational?

This changes the value of time.

A cheaper property requiring six years of transmission work may be less valuable than a more expensive property capable of delivering power in three years. A secondary market may become more competitive than a major technology hub if its utility can offer a clearer capacity schedule.

The most expensive delay is not always construction.

It is waiting to begin construction on infrastructure that should have been planned years earlier.

Large AI campuses can require multiple substations, new high-voltage transmission and phased power deliveries stretching across several years. CBRE says the shift toward 500-megawatt-plus AI campuses has pushed schedules into multi-year territory, with new generation or transmission needs potentially extending timelines to 48 months or longer. CBRE

That makes schedule certainty a form of infrastructure.

A utility commitment, completed study or executed transmission agreement can change the value of a property before the first data-center building appears.

The Powered Land Premium

Traditional land valuation starts with location, comparable sales, permitted uses and development potential.

Powered Land requires a broader model.

Its value reflects the amount of uncertainty already removed from the project.

Base Land Value + Infrastructure Certainty + Time Compression = Powered Land Premium

The Premium May Come From:

• Confirmed megawatt capacity

• An accelerated energization schedule

• Completed utility studies

• Reserved transformers or switchgear

• Executed transmission agreements

• Existing substations

• Multiple fiber routes

• Approved zoning

• Development agreements

• Available water or waterless cooling options

• Completed environmental reviews

• Graded building pads

• Road and utility improvements

• Strong community alignment

The infrastructure does not need to be fully constructed for value to emerge.

But the pathway must be credible.

Markets pay for certainty because certainty reduces time, risk and carrying costs.

Land Banking the Intelligence Economy

The growing demand for AI infrastructure is encouraging hyperscalers, developers and land specialists to secure property years before full development.

This can look like conventional land banking, but the strategy is more complex.

The buyer is not only betting that real estate values will rise. It is attempting to reserve a position within a future infrastructure corridor.

Securing Land Early Allows a Developer to Begin:

• Utility negotiations

• Transmission planning

• Fiber-route development

• Zoning and annexation

• Environmental studies

• Road planning

• Water agreements

• Community engagement

• Customer discussions

• Capital formation

That process can take years.

The acquisition is the opening move, not the finished strategy.

JLL reported that hyperscalers acquired approximately 1,900 acres across the Columbus, Ohio, region during a two-year period. This activity reflects the expanding scale of AI campuses and the need to secure future capacity well before demand arrives. JLL

The market signal appears before the building.

Following land can reveal where companies expect infrastructure to converge.

The Map Is Being Redrawn

Traditional data-center markets still matter, but infrastructure constraints are pushing development into new regions.

JLL reported more than 35 gigawatts of data-center capacity under construction across North America at the end of 2025. Sixty-four percent of that capacity was located in frontier markets, including West Texas, Tennessee, Wisconsin and Ohio. JLL North America Data Center Report

This does not mean developers have stopped caring about location.

It means the definition of a strong location is changing.

A Market Can Gain Relevance When It Combines:

• Available generation

• Expandable transmission

• Large contiguous parcels

• Fiber connectivity

• Competitive energy costs

• Supportive regulation

• Skilled construction labor

• Low environmental risk

• Community cooperation

The next major data-center cluster may not begin with a technology company.

It may begin with a utility plan, a transmission corridor and a collection of parcels large enough to support what comes next.

The Market Is Responding

Powered land is becoming a distinct development strategy.

Rather than selling raw acreage and leaving customers to solve power, zoning and infrastructure independently, specialized developers are assembling large properties and advancing the difficult work before an end user arrives.

That can include land control, entitlement, power planning, utility agreements, road construction, fiber coordination and community engagement.

The objective is not to eliminate every development risk.

It is to reduce enough uncertainty that a hyperscaler or operator can move faster.

This creates a new layer within the AI infrastructure supply chain.

The developer is no longer simply preparing real estate.

It is manufacturing readiness.

Company Watch: Tract

Tract is one of the clearest examples of the Powered Land model.

The company specializes in assembling and advancing large, master-planned data-center campuses before final end users occupy them.

In Caldwell County, Texas, Tract expanded its Caldwell Valley Technology Park to nearly 3,000 acres. The company says the campus can support more than four gigawatts of data-center capacity. Tract, Bluebonnet Electric Cooperative and the Lower Colorado River Authority are planning an onsite substation capable of scaling to 1.6 gigawatts, with an initial 250 megawatts contracted for delivery in the first quarter of 2028. Tract

In Morris, Illinois, the company acquired 343 acres for a planned one-gigawatt campus. The site is fully zoned and entitled and has an executed transmission agreement with ComEd. Initial energization is targeted for June 2028. Tract Morris Technology Park

The difference between these projects and a conventional land listing is the amount of infrastructure work already underway.

The acreage matters.

The utility agreements, entitlements and delivery schedules make it valuable.

Tract reports more than 25 gigawatts of planned capacity and more than 25,000 acres under control across its portfolio.

That scale puts the company on the land-pillar watchlist, not because every announced megawatt will necessarily be built, but because its strategy reflects how the market is evolving.

Everyone is watching data-center operators.

I’m also watching who prepares the ground before they arrive.

The Powered Land Illusion

The growing value of AI-ready sites creates an obvious risk.

Almost any property near a transmission line can be marketed as a future data-center site.

The Language Can Sound Impressive:

• Gigawatt potential

• Hyperscale ready

• Fiber adjacent

• Shovel ready

• Utility supported

• AI campus opportunity

• Powered land

Those descriptions should be treated as claims requiring evidence.

A property is not Powered Land simply because a conceptual plan shows data-center buildings on it.

Developers, Investors and Communities Should Distinguish Among:

• Power that is physically nearby

• Power currently available

• Power under utility study

• Power conditionally approved

• Power backed by a signed agreement

• Power with infrastructure under construction

• Power ready to serve load

Each stage carries a different timeline and risk profile.

The same applies to zoning, water and fiber.

Readiness is not a marketing adjective.

It is a collection of documented facts.

Land Across the Eight Pillars

Land is where the eight pillars become physical.

Power determines whether the site can support computing. Connectivity determines whether intelligence can move. Water and cooling determine how heat will be managed.

Workforce influences whether the campus can be built and operated. Policy determines what can be approved and how quickly decisions are made. Capital finances the land, infrastructure and buildings.

Sustainability shapes resource use, community expectations and long-term resilience.

A weakness in any pillar can reduce the value of the property.

This is why AI-ready land should not be evaluated through a real-estate lens alone.

It is an infrastructure system with an address.

What Landowners Should Understand

Owning a large property near a transmission line can create an opportunity.

It does not guarantee a data-center transaction.

Landowners should avoid spending heavily on speculative marketing before completing basic diligence. A credible first assessment should examine:

• Utility territory

• Transmission voltage

• Substation proximity

• Potential load capacity

• Fiber routes and carriers

• Parcel size and ownership

• Zoning

• Water and wastewater

• Environmental constraints

• Flood risk

• Geotechnical conditions

• Road access

• Natural-hazard exposure

• Nearby residential uses

• Local political support

Landowners should also understand that major customers rarely purchase only a story.

They purchase reduced risk.

What Community Leaders Should Start Asking

Communities considering AI infrastructure development should move beyond asking whether they have land available.

They Should Ask:

• Which parcels are large enough for phased development?

• Who controls those parcels?

• How much power can the utility realistically serve?

• When could the first phase be energized?

• What transmission and substation upgrades would be required?

• Who would pay for those upgrades?

• Would existing customers be protected from cost shifting?

• Which fiber routes can serve the property?

• What cooling systems are appropriate for the region?

• Is the site properly zoned?

• How long would permitting take?

• What environmental reviews are required?

• Can roads support construction traffic and heavy equipment?

• What emergency services will be needed?

• Which community benefits should be negotiated?

• What happens if the project acquires land but never develops it?

• How will performance milestones be enforced?

The strongest communities will not promise instant approvals or unlimited resources.

They will provide clear information, credible timelines and coordinated decision-making.

Frequently Asked Questions

What is AI-Ready Land?

AI-ready land is property capable of supporting AI or data-center infrastructure through a documented combination of power, connectivity, buildability, cooling, entitlements and development readiness.

What is Powered Land?

Powered Land is an IOI framework for property where access to electricity and supporting infrastructure has been sufficiently planned, verified or advanced to reduce development uncertainty.

Does a Transmission Line Make a Property AI-Ready?

No. A nearby transmission line does not prove that capacity is available or that the utility can serve a large new load. Formal engineering studies and utility commitments are required.

How Much Land Does an AI Data- Center Need?

Requirements vary widely. Individual buildings may fit on relatively modest parcels, while multi-gigawatt campuses can require hundreds or thousands of acres for data halls, substations, generation, cooling systems, roads, security and expansion.

Why Are Data-Centers Moving Into Secondary Markets?

Primary markets face limited power capacity, higher land costs and long interconnection timelines. Secondary and frontier markets can become attractive when they offer faster power delivery, large parcels, fiber and supportive policy.

What Makes a Data-Center Site Valuable?

Its value comes from the combination of usable acreage, power capacity, delivery schedule, connectivity, entitlements, physical buildability and community readiness.

The Golden Nugget

The most valuable acre is not the cheapest. It is the acre with the fewest unanswered questions.

Land becomes more valuable when uncertainty becomes smaller.

The real premium is not attached to the dirt.

It is attached to the evidence that something can be built on it.

The IOI Take

The race for AI-ready land is not really a land rush.

It is a readiness race.

The winning sites will not necessarily be the largest, cheapest or closest to an established technology market. They will be the properties where utilities, developers, communities, carriers and capital providers have aligned around a credible plan.

This has major implications for real estate and economic development.

Landowners must understand infrastructure.

Utilities must understand development timelines.

Communities must understand large-load economics.

Investors must understand that megawatt claims are not the same as megawatt commitments.

Developers capable of coordinating these systems can create value long before vertical construction begins.

They are not simply buying land.

They are building certainty.

One Last Thought

The Intelligence Economy will require enormous physical space.

But acreage alone will not determine where it gets built.

Power must arrive. Fiber must connect. Permits must clear. Cooling must work. Capital must commit. Communities must agree.

Only then does land become infrastructure.

There is plenty of land in America.

AI-ready land is a different story.

Workforce

Policy

Capital

Sustainability