Data center expansion is creating a new race for energy infrastructure and industrial land
The rapid rise of artificial intelligence (AI) in recent years is not only transforming the technology sector but also reshaping the global industrial real estate market.
Across the UK, the United States, and many European countries, demand for AI data centers is increasing at an unprecedented pace, triggering fierce competition for:
- Industrial land
- High-voltage power infrastructure
- National grid connectivity
- Logistics and telecommunications systems
According to experts, AI is becoming a new growth driver pushing industrial real estate values significantly higher in many areas previously overlooked by investors.
AI Data Centers Are Creating a New Industrial Real Estate Boom
Industrial sites with strong power infrastructure become “gold mines”
Unlike many other industries:
- AI companies are less dependent on central locations.
- The most important factors are:
- Large land areas
- Stable electricity supply
- High power capacity
- Strong data-processing infrastructure
As a result, many industrial sites that were once abandoned or located far from urban centers are now experiencing rapid value growth due to their suitability for AI data center development.
One prominent example is the Wilton industrial site owned by Sembcorp near Middlesbrough.
For decades:
- Wilton hosted chemical and fuel additive manufacturing plants.
- After the decline of the chemical industry, many areas became vacant.
However, thanks to its high-voltage power connection to the UK national grid, Wilton has become highly valuable in the AI era. Digital Reef is currently planning to build a major data center there.
Industrial Real Estate Prices for AI Facilities Surge in the UK
Data center land prices are significantly higher than traditional industrial sites
According to data from Savills:
- Industrial real estate in London is currently priced around:
- £11.1 million to £14.8 million per hectare.
However:
- Land suitable for AI data center development is valued much higher:
- £19.7 million to £37 million per hectare.
This shows that:
- Power infrastructure is becoming even more important than geographic location.
- Sites with strong existing electrical capacity are commanding premium prices.
According to analysts:
- AI is fundamentally changing how industrial real estate is valued.
- Data centers are now considered the “new factories” of the digital economy.
The US Faces a Massive Land Rush for AI Infrastructure
Sites with strong power systems are worth 2.5 to 3 times more
A similar trend is unfolding rapidly in the United States.
According to a March 2026 report by Colliers:
- Industrial sites with ready-to-use energy infrastructure are being sold at:
- 2.5 times the price of standard industrial land.
In particular:
- In Northern Virginia and Southern California:
- Prices can be up to 3 times higher.
The reason is simple:
- Demand for AI data centers is soaring.
- Technology companies require enormous power capacity to operate AI servers and GPU clusters.
Experts say:
- This is one of the largest industrial real estate growth waves since the boom of logistics and e-commerce.
AI Is Putting Massive Pressure on National Power Grids
Electricity connection waiting times in the UK can reach 15 years
Not every industrial site already has sufficient power infrastructure.
As a result:
- Many companies must apply for new grid connections.
- This has caused high-voltage electricity demand to surge sharply in the UK.
According to the UK Department for Energy:
- Grid connection demand increased by 460% during the first half of 2025.
Current applications include:
- 96 GW connected to the high-voltage grid.
- Another 29 GW requested for local power grids.
Meanwhile:
- The UK’s peak electricity demand last year was only about 46 GW.
- Total national generation capacity currently stands at around 72 GW.
This demonstrates that:
- The AI boom is placing enormous pressure on national energy infrastructure.
Notably:
- Grid connection waiting times in some areas can now stretch:
- From 12 to 15 years.
“Ghost Projects” Are Overloading the UK’s Power Registration System
The UK Tightens Grid Connection Procedures in 2026
According to UK authorities:
- Many companies are applying for power connections even when:
- Projects have not yet received permits.
- No customers have been secured.
- Construction has not started.
These “ghost projects” are:
- Overloading the application system.
- Making it harder to prioritize legitimate developments.
In response, National Energy System Operator (NESO) revised the registration process in March 2026 to:
- Remove unrealistic applications.
- Prioritize strategic industries.
- Accelerate approvals for viable projects.
AI Is Reshaping the Global Industrial Real Estate Market
Energy infrastructure becomes the key factor determining property value
According to experts:
- AI is not only transforming technology.
- It is also reshaping:
- Industrial real estate
- Logistics
- Energy infrastructure
- Urban planning
In this new cycle:
- Industrial sites with:
- Large-scale power supply
- Strong telecommunications connectivity
- Advanced digital infrastructure
will become strategic high-value assets.
This is why many countries are rapidly investing in:
- Data centers
- Renewable energy
- Smart grids
- Digital infrastructure
to prepare for the next global AI wave.
Vietnam Could Benefit Strongly From the AI and Data Center Boom
Industrial real estate and energy sectors face major opportunities
According to analysts:
- Vietnam is emerging as a promising destination for:
- Data centers
- Artificial intelligence
- Semiconductor industries
- Cloud computing
thanks to advantages such as:
- Competitive costs
- Large industrial land reserves
- Rapidly improving telecommunications infrastructure
- Global supply chain diversification
In the long term:
- Industrial parks with strong power infrastructure
- Locations near logistics hubs
- Areas with strong international connectivity
will have significant opportunities to attract technology and AI investment in the years ahead.
References:
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