The New Industrial Frontier: David Goodnight Austin on Power, AI, and the Future of Industrial Real Estate

The AI Shift: From Warehouse to Compute and the New Meaning of Industrial Property

For decades, industrial real estate was largely defined by what happened inside the building: manufacturing, storage, distribution, assembly, and logistics. A good industrial property typically meant generous floor space, loading docks, high ceilings, truck access, and proximity to major transportation routes.

Artificial intelligence is expanding that definition.

Today, the most strategically important industrial properties may also be evaluated for something that cannot be measured simply in square footage: access to power, fiber connectivity, cooling capacity, and the infrastructure required to support high-performance computing.

For David Goodnight Austin, this shift offers an interesting way to understand where industrial real estate is heading. The warehouse is no longer just a place where physical goods move. Increasingly, industrial buildings and industrial-zoned land can become part of the infrastructure supporting the digital economy.

Why AI Is Changing Industrial Real Estate

AI requires physical infrastructure.

Large-scale AI models depend on computing systems housed in data centers, while the broader AI ecosystem also requires semiconductor equipment, advanced manufacturing, networking hardware, energy infrastructure, cooling systems, and specialized logistics.

The International Energy Agency reported that global data-center electricity consumption increased by about 17% in 2025, highlighting how quickly computing infrastructure is becoming an important source of electricity demand.

That energy requirement changes the real-estate equation.

A building that once competed primarily on rent, location, ceiling height, and access to highways may now be evaluated for its electrical capacity and ability to support technology-intensive operations.

In other words, industrial property is increasingly being judged by infrastructure as well as physical space.

From Square Feet to Megawatts

Traditional industrial property is commonly discussed in square feet.

AI infrastructure introduces another critical measurement: megawatts of available power.

This is particularly important for data centers. AI workloads can require substantial computing capacity, and that computing capacity translates into electricity, cooling, networking, and physical equipment requirements.

CBRE's 2026 North America Data Center Trends report notes that demand from AI-related users continues to influence data-center development and that emerging requirements are creating interest in smaller facilities designed for inference, enterprise AI, and latency-sensitive workloads.

This does not mean every warehouse is going to become a data center. In many cases, conversion may be technically or economically impractical.

Instead, the broader lesson is that industrial real estate is becoming more closely connected to digital infrastructure.

Austin Shows How Quickly the Model Is Evolving

Austin provides a useful example.

The Austin-San Antonio data-center market has attracted significant interest from hyperscalers and AI-related users. CBRE reported that the market had 462 MW of data-center capacity under construction in the first half of 2025, with 97% of that under-construction capacity already preleased.

More recently, JLL reported that Austin-San Antonio completed 1.7 GW of data-center capacity and absorbed 796 MW during the first half of 2026, with development extending along the I-35 corridor.

These numbers demonstrate why industrial developers, landowners, investors, and occupiers increasingly need to consider infrastructure availability alongside conventional real-estate characteristics.

Austin is also illustrating the importance of planning and utility constraints. The City of Austin has been actively considering land-use, development, and regulatory questions related to data centers, including proposed amendments concerning data-center uses in certain zoning districts.

For anyone following Austin industrial property, the takeaway is straightforward: technology infrastructure is becoming part of the real-estate conversation.

What Makes an Industrial Property AI-Ready?

Not every industrial building can accommodate computing infrastructure. Several characteristics can influence suitability.

1. Reliable Power

Electrical capacity is arguably one of the most important considerations.

AI computing facilities can have significantly different power requirements from conventional warehouses. Properties with existing electrical infrastructure, nearby substations, or credible pathways to additional capacity can therefore attract greater attention from technology-intensive users.

2. Fiber Connectivity

AI facilities depend on high-speed communications infrastructure.

A property with strong fiber connectivity can be more attractive for data-intensive operations than an otherwise similar property without adequate telecommunications infrastructure.

3. Cooling Potential

Computing equipment produces substantial heat.

That makes cooling infrastructure a fundamental part of data-center design. Conventional warehouse HVAC systems are not automatically suitable for high-density computing environments.

4. Site and Building Characteristics

Land availability, building configuration, structural capacity, security, access, and expansion opportunities can all influence whether a property is appropriate for technology infrastructure.

5. Regulatory and Utility Considerations

A technically suitable property may still face zoning, permitting, water, power, environmental, or community constraints.

This is one reason AI-related industrial development requires a broader form of due diligence than simply evaluating the building itself.

The Industrial Property Market Is Becoming More Diverse

The AI economy is not replacing traditional warehouses.

Instead, it is adding another layer to industrial real estate.

Logistics companies still need distribution centers. Manufacturers still need production facilities. E-commerce companies still need fulfillment space.

At the same time, data-center operators and technology manufacturers are creating demand for specialized industrial environments.

CBRE reported in 2026 that manufacturing leasing for facilities of at least 100,000 square feet increased 28% year over year in Q1 2026, with manufacturers of data-center and technology components representing the largest share of manufacturing leasing during that period.

That is an important distinction.

AI is not only creating demand for computing buildings. It is also influencing the industrial supply chain surrounding computing.

Equipment manufacturers, electrical-component suppliers, cooling-system companies, construction firms, and specialized logistics providers all require physical locations.

What This Means for Austin Industrial Real Estate

Austin's industrial market itself remains more complicated than the data-center market.

CBRE reported that Austin industrial net absorption reached 1.4 million square feet in Q2 2026, while vacancy stood at 19.4%. Average asking rents were $13.78 per square foot, and approximately 5.9 million square feet remained under construction.

Those figures reinforce an important point: AI-related demand should not be confused with the overall performance of the Austin industrial market.

Different property types have different demand drivers.

A conventional warehouse may be primarily valued for logistics efficiency. A technology-oriented facility may place greater emphasis on power, connectivity, cooling, and specialized infrastructure.

That distinction matters for owners and investors evaluating potential repositioning opportunities.

The Future: Hybrid Industrial Real Estate

One of the most interesting developments may be the emergence of hybrid industrial properties.

Some facilities can support combinations of:

• Advanced manufacturing

• Research and development

• Technology production

• Data processing

• Logistics

• Electronics assembly

• AI infrastructure

• Specialized storage

Austin already has examples of flexible industrial and R&D properties being marketed with data-center capability. For example, a Northeast Austin flex/R&D property listed by JLL highlights industrial, laboratory, and data-center potential alongside substantial electrical capacity and existing loading infrastructure.

This suggests that the future industrial property may be less about a single predetermined use and more about infrastructure flexibility.

David Goodnight Austin: Looking Beyond the Warehouse

For David Goodnight Austin, the broader real-estate lesson is that industrial property is evolving alongside the economy it serves.

The warehouse of the past was designed primarily around physical goods.

The industrial property of the future may need to support both physical products and digital workloads.

That does not mean every warehouse should be converted into a data center. In many cases, the economics, electrical requirements, cooling needs, zoning rules, or building characteristics simply will not support such a conversion.

Instead, investors and developers should look at industrial property through a wider lens.

Where is the power?

Where is the fiber?

What infrastructure already exists?

Can the site support expansion?

What does the local utility have available?

What uses does zoning permit?

And perhaps most importantly, what kind of economic activity could this property support five or ten years from now?

Those questions can be more revealing than square footage alone.

Conclusion

AI is changing the definition of industrial property because computing has become a physical real-estate requirement.

Data centers need land and buildings. AI manufacturers need production space. Technology suppliers need industrial facilities. Logistics networks need specialized distribution infrastructure. All of them require reliable electricity, connectivity, transportation, and increasingly sophisticated physical systems.

Austin offers a particularly relevant case study because its data-center sector has experienced significant expansion while its broader industrial market continues to work through changing supply and demand conditions.

The result is a more complex industrial-property landscape.

The next generation of industrial real estate may not be defined simply by warehouses, factories, or distribution centers. It may be defined by the infrastructure that allows the physical and digital economies to operate together.

For David Goodnight Austin, that is the bigger story behind the move from warehouse to compute: industrial real estate is becoming an increasingly important piece of the infrastructure behind artificial intelligence.

Frequently Asked Questions

What is AI-ready industrial real estate?

AI-ready industrial real estate generally refers to properties capable of supporting technology-intensive operations through characteristics such as adequate electrical capacity, fiber connectivity, cooling potential, suitable building infrastructure, and appropriate zoning.

Can a traditional warehouse be converted into a data center?

Sometimes, but not automatically. Electrical capacity, cooling systems, structural characteristics, telecommunications infrastructure, zoning, permitting, water availability, and development economics all need to be evaluated before a conversion makes sense.

Why is power important for AI real estate?

Computing equipment consumes electricity and generates heat. As a result, available power capacity and the ability to obtain additional electrical service can be major considerations when evaluating data-center and AI infrastructure sites.

Is AI replacing traditional warehouses?

No. Traditional warehouses continue to serve logistics, e-commerce, manufacturing, and distribution requirements. AI is creating additional forms of industrial demand rather than eliminating the need for conventional industrial property.

Why is Austin important to the AI real-estate discussion?

Austin-San Antonio has attracted substantial data-center development and AI-related interest. CBRE and JLL have both reported significant recent data-center construction and absorption activity in the market.

What should investors examine when evaluating AI-related industrial property?

Key considerations include power availability, fiber connectivity, cooling potential, zoning, permitting, water requirements, site characteristics, expansion potential, transportation access, and the financial feasibility of the intended use.