Market Memo
A high-growth western AI infrastructure market where land and demand are compelling, but water optics, cooling strategy, and power procurement will determine which sites convert into buildable capacity.
Gridlocked's directional read-through on this market's ability to convert AI infrastructure demand into buildable capacity.
Overall
86
Constraint
Water and power
Saturation
High
Executive Summary
Phoenix screens as one of the stronger western expansion candidates because it offers developable land, western-region demand capture, strong logistics, and a deepening data center ecosystem. The limiting factors are increasingly resource-led: water availability, cooling narrative, utility delivery timelines, and community scrutiny around mega-campus load growth.
Market Scorecard
Overall
Power
Fiber
Land
Water
Policy
Demand
Saturation
0–100 directional Gridlocked framework scores. Higher means a stronger relative buildability signal, not guaranteed investment upside. Saturation is shown as a qualitative constraint signal.
Constraint Stack
Primary constraint
Water and power
Saturation risk
High
Scale, land, and western demand are compelling, but water optics and generation needs will shape how demand converts into buildable capacity.
Saturation is a constraint signal — it reflects how much friction incremental growth faces, not whether the market is good or bad on its own.
Bull Case
If cooling designs and power procurement keep pace with demand, Phoenix can serve as the preferred western relief valve for hyperscale AI campuses, supported by large land positions and a deepening development ecosystem.
Bear Case
Water politics, transmission constraints, and community opposition force longer delivery windows and lower land-option conversion rates.
Real Estate Read-Through
Land with credible power, water strategy, and utility corridors screens at a premium in the Gridlocked framework. Generic desert acreage carries meaningful underwriting risk without infrastructure commitments.
Real Estate Market Data
H2 2025 / Southwest
Inventory
807.3 MW
Vacancy
2.30%
18.6 MW available
Available
18.6 MW
Under Construction
418 MW
Preleased
82.00%
of capacity under construction
Net Available Pipeline
75.2 MW
Asking Rent Midpoint
$155
$/kW/month
Power Delivery Timeline
18–24 months
Primary Constraint
Water/Cooling
Additional metrics
Net Absorption
256 MW
Asking Rent Low
$145
Asking Rent High
$165
Prior Period Rent Midpoint
$150
Rent Growth
3.30%
Secondary Constraint
Power
Major Demand Driver
Hyperscaler
Key Takeaways
Market data sourced from CBRE North America Data Center Trends H2 2025 inputs entered into Gridlocked's market data workbook.
Source ID: CBRE_H2_2025_001
Key Risks
Public Market Read-Through
Public Exposure names that touch this market's constraint stack — potential beneficiaries and constrained exposures. Exposure can be positive, constrained, regulated, second-order, or mixed; this is read-through, not a buy list.
DLR
Digital Realty
Digital Realty is a direct AI data center demand proxy, but Gridlocked treats it as a constrained operator: demand only matters when it can be converted into powered, connected, developable capacity.
VST
Vistra
Vistra is a public-market expression of the power availability bottleneck through generation capacity and competitive power markets. If AI/data center load growth tightens power supply-demand balances, Vistra may benefit from higher power and capacity value. But this is market-sensitive exposure, not a simple infrastructure utility story.
ETN
Eaton
Eaton is one of the cleaner supplier-side ways to express the power bottleneck thesis, but Gridlocked treats the exposure as equipment-cycle sensitivity rather than automatic upside.
VRT
Vertiv
Vertiv is one of the cleaner public-market ways to express the physical data center infrastructure bottleneck. As AI workloads increase rack density and cooling intensity, the limiting factor is not just compute demand but whether facilities can deliver power, reject heat, and operate reliably. Vertiv sells into that constraint through power, thermal, integrated infrastructure, and service offerings.
PWR
Quanta Services
Quanta is a public-market way to express the grid construction side of the AI infrastructure bottleneck. If data center demand forces utilities and power markets to upgrade transmission, distribution, substations, and interconnection infrastructure, Quanta sits close to the physical work required to turn load growth into deliverable power.
XYL
Xylem
Xylem is a water infrastructure and technology exposure to the physical constraints behind AI infrastructure. Data centers do not scale on power alone; they also need credible cooling, water, wastewater, and site infrastructure strategies. Xylem's relevance is strongest where water scarcity, utility infrastructure, and cooling requirements become binding constraints for growth.
Data Status
Market memo content and scores are directional Gridlocked framework inputs based on public infrastructure, utility, site-control, water, demand, and saturation indicators. They are screening signals, not investment recommendations.