Real Estate

How AI Data Centers and 1-Gigawatt Supercomputing Will Reshape Commercial Real Estate

The France-UAE agreement and Fluidstack’s €10 billion AI supercomputer project mark a turning point in global infrastructure. With two separate 1-gigawatt AI data center projects in development, France is positioning itself as a global leader in artificial intelligence.

These high-density, power-intensive data centers are not just about computing—they are reshaping industrial, logistics, energy, and office real estate.

While most commercial real estate investors won’t be buying or developing data centers, these facilities will transform demand for industrial land, logistics infrastructure, office hubs, and mixed-use developments.

This guide explores how large-scale AI infrastructure projects will impact real estate investors across multiple sectors.

1. How Big is 1 Gigawatt?

To understand why these AI supercomputing projects matter, it’s important to grasp how massive 1 gigawatt (GW) of power really is:

  • 1 GW can power 750,000 to 1 million homes.
  • The entire city of San Francisco operates on about 0.9 GW.
  • A full-scale nuclear power plant generates between 1 and 1.5 GW.
  • Amazon’s Northern Virginia data center hub exceeds 1 GW of power usage annually.

Fluidstack’s AI supercomputer will consume more electricity than most major cities while maintaining a net-zero carbon footprint through nuclear energy and waste heat recovery.

Why does this matter for real estate? These projects will require new energy infrastructure, industrial development, and workforce expansion—all of which impact commercial real estate values.

2. Industrial and Logistics Growth from AI Data Centers

AI data centers are not standalone facilities—they create demand for an entire supply chain ecosystem:

  • Semiconductor fabrication plants (chip fabs)
  • Cold storage and high-tech warehouse facilities
  • Specialized logistics hubs for AI hardware

Why This Matters for Industrial Real Estate Investors

The expansion of AI infrastructure will drive demand for industrial land and logistics real estate.

For investors in industrial properties, this means:

✅ Higher land values near AI corridors.
✅ Increased demand for flex-space industrial and specialized warehouses.
✅ Longer lease terms and higher rental rates for logistics and supply chain operators.

The French government has already identified 35 sites for AI data centers, meaning that surrounding industrial properties will appreciate as supporting infrastructure is built.

3. Energy Infrastructure Expansion Will Impact Commercial Development

One of the most significant effects of 1-GW AI data centers is the need for massive power grid upgrades.

Fluidstack’s AI supercomputer will rely on France’s nuclear energy supply, but its integration into the national grid requires:

  • New substations and high-voltage transmission lines.
  • Increased investment in backup power and grid resilience.
  • Potential rezoning of areas near upgraded energy corridors.

How Commercial Investors Can Benefit

As energy grids expand to support AI infrastructure, real estate investors should track where these upgrades are happening.

✅ Properties near substations and high-energy corridors will gain value.
✅ Industrial and mixed-use developments with energy-efficient designs will become more attractive.
✅ Energy-efficient buildings will command premium lease rates in AI-adjacent industries.

The commercial properties best positioned for future growth will be those near infrastructure expansions tied to AI energy demand.

Credit Intersect Illinois

4. AI Workforce Growth Will Drive Office and Retail Demand

Fluidstack’s AI supercomputer will not just process data—it will require thousands of high-skilled AI researchers, engineers, and support staff.

This will increase demand for office space, retail, and residential real estate in areas near AI data center hubs.

Office and Retail Impacts

  • Expect new office developments near AI research hubs.
  • Retail and entertainment districts will expand to accommodate AI-driven workforce growth.
  • Coworking and flexible office spaces will see increased demand from AI startups.

For commercial real estate investors, this means:

✅ Tracking where AI firms are expanding and considering office investments in those regions.
✅ Identifying retail and hospitality growth opportunities near AI employment centers.
✅ Exploring redevelopment opportunities in secondary office markets positioned for AI workforce growth.

AI research and data center investments are not just about infrastructure—they create new urban economic clusters.

5. Rising Land Values Near AI Hubs

France’s AI expansion is creating some of the most valuable land opportunities in Europe.

With Fluidstack’s €10 billion investment and the France-UAE 1-GW data center project, land values near these AI corridors will increase significantly.

For investors, this means:

✅ Land banking opportunities in AI development zones.
✅ Potential for rezoning and higher-density commercial development.
✅ Increased demand for AI-adjacent mixed-use properties.

The smartest investors will position themselves early in these high-growth areas.

Final Thoughts: AI Data Centers Are Reshaping Commercial Real Estate

With France now home to two separate 1-GW AI infrastructure projects, the country may soon be a global, if not at least, Europe’s leader in artificial intelligence.

Even if investors never plan to buy or develop data centers directly, the infrastructure supporting AI growth will impact industrial, logistics, office, retail, and mixed-use real estate.

By understanding where AI investments are happening, even locally, like Chicago’s recent Quantum Developments, and how they influence real estate demand, investors can capitalize on the next wave of real estate expansion.

Gordon Lamphere J.D.

Gordon is a licensed Illinois & Wisconsin Real Estate Broker, who manages the commercial sales and leasing team. Gordon also leads Van Vlissingen and Co’s media marketing team. He is an honors graduate of St. Mary’s College of Maryland and holds a Juris Doctorate from Tulane University Law School.

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