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Load Growth & AI

The next energy challenge is not just generation. It is where power can go.

Data centers, AI infrastructure, advanced manufacturing, electrification, and broader economic growth are changing assumptions about electricity demand, nationally and worldwide. Surge Insights examines how that demand is reshaping siting, utility planning, grid capacity, power procurement, and the clean-energy infrastructure needed to support what comes next.

Data-center aisle receding between rows of server racks toward a bright vanishing point, monochrome
Why it matters

Demand growth is both a site-selection and utility infrastructure question.

For decades, electricity demand in many markets grew gradually enough that utilities, developers, and energy buyers could plan around relatively stable assumptions. That is changing. Large new loads can require significant generation, transmission, substations, interconnection capacity, and long-term power planning before a facility ever turns on.

For developers, landowners, utilities, investors, and major energy users, the question is increasingly not simply whether power can be purchased. It is whether sufficient power can be delivered, how soon it will be available, how consistently it will flow, and what infrastructure must be built to support it.

New Load

Data centers, manufacturing, electrification, and other large energy users joining the grid and creating power demand.

Grid Capacity

The transmission, substations, and distribution infrastructure available to serve power demand.

Siting & Viability

Where land, utility service, interconnection, transmission, and a realistic path to new power align.

Power Development

The generation, transmission, storage, procurement, and delivery strategy required to serve new demand.

The Demand Shift, By the Numbers
100 GW

Additional U.S. peak-hour supply DOE estimates may be needed by 2030.

U.S. Department of Energy · 2025
50 GW

Of that projected need DOE attributes directly to data-center load growth.

U.S. Department of Energy · 2025
11.8%

Estimated share of total U.S. electricity data centers could consume by 2030.

Berkeley Lab · 2026
2–3×

Projected growth in U.S. data-center electricity use from 2023 to 2028.

DOE / Berkeley Lab · 2024
Follow the signals

Where rising demand changes the energy map.

Featured Analysis
Load Growth & AI

The rise of AI and large digital loads is exposing a deeper constraint: generation is only one part of the equation. Transmission, substations, interconnection, siting, and power-delivery strategy increasingly determine what can be built and where.

Surge Insights · 9 min read
Read the analysis
Latest from the Demand Desk

Recent reporting and analysis.

Load Growth Questions, Explained

The infrastructure questions behind the demand curve.

Data centers require substantial electricity to operate servers, cooling systems, networking equipment, and supporting infrastructure. As AI models and cloud-computing workloads grow, many facilities are using more power per site than earlier generations of data infrastructure. The effect is not limited to data centers alone; it combines with manufacturing growth, electrification, and broader economic development to increase pressure on local and regional power systems.

A large load is a facility or group of facilities that requires a substantial amount of electricity relative to typical commercial customers in a market. It can include data centers, advanced manufacturing plants, industrial facilities, logistics operations, campuses, electric-fleet depots, and other major energy users. What qualifies as “large” depends on the utility territory and grid conditions, but the common issue is that the load may require new infrastructure, studies, or long-term planning before service can be delivered.

A site can have strong land, workforce, transportation, tax, or market characteristics and still face development risk if the utility cannot provide sufficient power on the required timeline. Developers and large energy users increasingly need to evaluate transmission access, substation capacity, utility service timelines, interconnection requirements, upgrade exposure, and long-term power strategy before committing to a location.

In some cases, on-site generation, battery storage, microgrids, or other behind-the-meter assets can help manage demand, improve resilience, reduce reliance on the grid at specific times, or support phased development. But these assets do not automatically replace the need for utility service, transmission capacity, or long-term power planning. Their value depends on the scale and shape of the load, site conditions, utility rules, financing, and the specific operating objective.

Co-location generally refers to locating generation, storage, and/or large energy demand near one another so they can share infrastructure, reduce delivery constraints, or improve the economics of power supply. The term can describe several structures, including projects connected through the grid, behind-the-meter arrangements, or more directly integrated infrastructure. The feasibility and regulatory treatment depend heavily on market rules, interconnection requirements, utility policies, and project design.

Start with the anticipated load, operational timeline, site requirements, utility territory, available infrastructure, interconnection pathway, generation and storage options, power-procurement needs, and potential capital structure. The goal is to understand whether the site, power path, and development timeline can realistically align before substantial commitments are made.

Surge can help evaluate these variables early, connect the relevant development and capital considerations, and clarify a practical path forward for a site, project, or major-load opportunity.

From Analysis to Execution

Large demand requires a coordinated power path.

Surge works with landowners, developers, energy buyers, capital partners, and delivery teams to evaluate the land, grid, interconnection, power, capital, and execution conditions behind major energy opportunities.

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