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PERSPECTIVE

The new playbook to energize AI data center development

5-MINUTE READ

June 29, 2026

In brief

  • AI workloads are pushing power demands beyond what today’s grid can deliver.

  • Power now sets the pace for data center growth, requiring a more intentional, power first approach.

  • Operators that treat community as a core strategy will permit faster, build with less risk and earn the trust that keeps projects moving.

Traditional power can’t keep up with data center demands

Data center power demand is rising faster than many grids, equipment supply chains and utility planning processes can absorb. AI growth is accelerating development at scale, creating massive, concentrated, new loads.

Unlike chips or servers, electricity cannot be expedited by spending more. Power depends on real assets: transmission lines, substations, generation, permitting and coordinated system planning. No level of investment can compress multi-year interconnection queues or bypass the need to expand physical grid infrastructure.

Interconnection queues now exceed historic peak demand by multiples, stretching timelines into multi-year ranges. As AI workloads scale, the gap between compute demand and power delivery is becoming the defining constraint on growth. At the same time, in many markets, grid capacity is often underused outside of peak demand periods, creating opportunities for more flexible approaches.

Why the traditional data center playbook is evolving

The industry’s traditional playbook treated power as something to resolve after site selection. AI-scale demand has made that approach untenable, and the race to secure as much capacity as possible is adding pressure to already constrained systems.

Power now determines which sites are viable, how quickly they can ramp and what returns can be expected.

Power usage effectiveness optimization still matters, but it is no longer the full measure of performance. When power is a binding constraint, the bigger question is how much useful compute a data center can produce from every megawatt it can access and how productively that power is used.

The projects moving forward are the ones that make themselves easier to serve and beneficial to communities through stronger planning, flexibility and coordination.

Key dynamics reshaping data center development

$1B+

in revenue can be deferred from a one-year delay on a 100 megawatt AI data center

50-60%

of secured data center power capacity is stranded in traditional designs

1-3x+

interconnection queues now exceed historic system peak demand in key US markets

30-70%

overbuild is required to achieve grid-level reliability from on-site gas

Speed to power is now the competitive edge

In AI markets, delay destroys value. A one-year delay in energizing a large data center can defer more than US$1 billion in AI model revenue, while competitors move ahead with training, deployment and data accumulation. For colocation operators, delays cascade into missed financing milestones, lost tenant and reduced control over assets.

Unlocking power now depends on coordination across utilities, communities and operators. Projects that move forward are those that reduce uncertainty, align stakeholders early and design for flexibility from the start.

Four no-regret moves

Winners will capture and optimize the power available today while building a clear path to the power they will need next. The impact is greatest when these moves are applied before breaking ground.

01

Site for power readiness

Speed to power starts with sites that have the shortest credible path to energization. The fastest path is often through existing infrastructure, including brownfield sites, legacy interconnections or proximity to generation.

Power readiness, permitting and upgrade requirements must be assessed before land is locked and designs are finalized.

Most large developments will require a mix of grid, on-site and long-term power solutions aligned to site conditions and ramp timelines.

02

Earn community permission

Community alignment is a critical part of energization. Projects that engage early, communicate clearly and make credible commitments are more likely to secure approvals and maintain momentum. Communities that see clear local value are more likely to support development and help keep projects on track.

03

Engineer flexibility into design

Power-constrained markets require designs that reduce stranded capacity and produce more useful compute from each available megawatt. Developers can right-size demand and make their load easier to serve by designing their data centers to be more flexible through choices such as pooling power across IT and cooling, designing for evolving chip and cooling architectures, and using workload orchestration to shift or throttle non-critical compute.

04

Co-plan capacity with utilities

Utilities are balancing reliability, affordability and system constraints across rapidly growing demand. Operators that arrive with phased load ramps, documented demand profiles, co-investments proposals and flexibility commitments enable more efficient planning and faster response.

This reframes interconnection from a transaction over megawatts into a joint effort to integrate large load responsibly and accelerate energization.

The data centers that win the power race

The next era of data center development will not be defined by which projects secure the largest power allocations. It will be defined by which projects can make the most effective use of constrained power through credible planning, flexible design and closer alignment with utilities and communities.

As grid timelines lengthen and AI workloads continue to evolve, operators will need to move beyond broad capacity requests toward a more disciplined, power-first development process.

The advantage will go to the data centers that are easier to serve and more valuable to the systems around them.

WRITTEN BY

Neeraj D. Vadhan

Senior Managing Director – Supply Chain & Engineering, Data Center Services Lead

David Quirk

Chief Executive Officer – DLB Associates

Bethany Patton

Managing Director – Industry & Enterprise, Utilities

James Hebblethwaite

Managing Director, Global Lead – AI Infrastructure

Caroline Larose

Senior Manager – Supply Chain & Engineering

Paul Johnson

Senior Principal – Accenture Research