Market Memo
A deep and growing hyperscale market with strong land availability and demand, but power interconnection and ERCOT volatility remain key underwriting variables.
Gridlocked's directional read-through on this market's ability to convert AI infrastructure demand into buildable capacity.
Overall
88
Constraint
Grid interconnection
Saturation
Medium
Executive Summary
Dallas-Fort Worth has the deepest hyperscale pipeline outside Northern Virginia. It combines land availability, dual-market optionality across two metros, hyperscale interest, and scalable development corridors, while forcing investors to underwrite grid interconnection timing, power procurement, and ERCOT volatility.
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
Grid interconnection
Saturation risk
Medium
A deep hyperscale pipeline with better land economics, though ERCOT volatility keeps power strategy central.
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
A large land base, dual-market optionality across two metros, scalable development corridors, and continued hyperscaler interest support a durable campus development pipeline.
Bear Case
Grid interconnection timing, power price volatility, heat and cooling load, and competition from other Texas markets can complicate returns and delivery windows.
Real Estate Read-Through
Sites with credible utility delivery timelines, interconnection strategy, and power procurement plans are better positioned than generic development parcels without committed infrastructure.
Real Estate Market Data
H2 2025 / Texas
Inventory
1,067.3 MW
Vacancy
2.40%
25.6 MW available
Available
25.6 MW
Under Construction
700 MW
Preleased
94.50%
of capacity under construction
Net Available Pipeline
38.5 MW
Asking Rent Midpoint
$150
$/kW/month
Power Delivery Timeline
18–30 months
Primary Constraint
Permitting
Additional metrics
Net Absorption
470.8 MW
Asking Rent Low
$140
Asking Rent High
$160
Prior Period Rent Midpoint
$145
Rent Growth
3.40%
Secondary Constraint
Land
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.
EQIX
Equinix
Equinix has direct exposure to AI and cloud infrastructure demand through its global data center and interconnection platform. The Gridlocked question is not whether demand exists; it is whether Equinix can continue converting that demand into powered, connected, high-value capacity in constrained markets. Its interconnection ecosystem is a strength, but growth still depends on power, site availability, cooling, and capital discipline.
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.
CEG
Constellation Energy
Constellation is a public-market expression of the AI power bottleneck through clean firm generation, especially nuclear. The company does not solve land or fiber constraints, but it sits close to the question of whether data center growth can be matched with reliable, carbon-sensitive power supply. The exposure is meaningful, but outcomes depend on power prices, contract structures, regulatory treatment, grid constraints, and the economics of supplying large-load customers.
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.
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.
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.