Data center power crisis: How energy has become a business constraint

Selecting data center sites traditionally focused on location, compute requirements, connectivity and capital. However, today's power-hungry data centers and AI systems mean energy availability also determines whether planned capacity can actually be built or leased in certain locations.

If power availability determines where infrastructure can be deployed, when it can go live and how much business capacity the organization can support, then it is an executive-level infrastructure and business planning issue.

The executive question is no longer, "What will electricity cost?" but rather, "Can we secure enough power, in the right location, on the required timeline?"

Data center power availability can significantly affect new and existing data center functionality, including:

• Deployment timelines.
• Infrastructure ROI.
• Capital allocation.
• Geographic expansion.
• AI project schedules.

A delayed or degraded power connection can leave infrastructure investments underutilized or postpone business initiatives that depend on that capacity.

This article shows CIOs how to factor data center energy costs into infrastructure planning before committing to locations, providers or AI capacity. It examines where to deploy data centers, how to procure energy and how to incorporate power into long-term AI planning.

How power constraints are changing CIO decision-making

Energy hasn't typically been a key factor in infrastructure and capital decisions, but it is an increasingly important constraint. Power is now a deployment dependency, not just an operating expense. CIOs must evaluate power before committing to geographic expansion.

Considerations include the following:

• Available and contractually secured capacity.
• Grid interconnection delays.
• Utility reliability.
• Expansion potential.
• Energy costs.
• Community impact.

Geographic resilience must now account for power availability in addition to network and facility redundancy. For example, a region might offer attractive infrastructure economics but create excessive dependence on a constrained grid.

Power also becomes a key component of site-level financial evaluations. CIOs must consider the cost of securing additional energy capacity as business needs change and how delayed deployments affect ROI. Cheap electricity is not necessarily economical if utilities can't deliver capacity when required.

Vendor negotiations now include tougher questions, such as:

• How much power is actually secured by the contract?
• When will additional capacity become available?
• What assumptions does the expansion timeline depend on?
• What alternatives exist if power delivery is delayed?

Power availability is now a vendor-risk consideration, not merely a facilities specification.

Energy procurement options for CIOs

Three primary data center energy procurement strategies exist. Business leaders should carefully investigate their options before choosing a data center site and utility.

1. Power purchase agreements

Power purchase agreements (PPAs) are long-term contracts to buy electricity and associated attributes from utility vendors. CIOs must consider contract duration, volume, pricing and geographic alignment with actual load and renewable energy objectives.

A word of caution: PPAs can address procurement and sustainability objectives without necessarily resolving local grid-capacity constraints.

2. Nuclear energy partnerships

This approach uses commercial arrangements involving nuclear generation, typically through long-term power contracts. CIOs must consider the power generation profile, contract duration and pricing, regulatory status, operating risk and geographic availability.

Nuclear partnerships expose the organization to additional dependencies, including regulatory approvals, public policy, government agencies and stakeholder considerations.

3. Hybrid approaches

Organizations can combine PPAs, storage, efficiency measures or other procurement arrangements. A hybrid approach often suits organizations with portable workloads that can shift some compute between regions as their needs or costs evolve.

CIO considerations include diversification across sources or regions, operational or contractual complexity, and flexibility when grid capacity or pricing changes.

Comparing the options

For all three approaches, keep in mind that securing clean energy is not automatically equivalent to securing enough physical power at the required location and time.

Integrate energy into AI and digital transformation plans

Future-proofing energy requirements and commitments is crucial for emerging opportunities in AI and digital transformation. Planning for these innovations and building practical infrastructure help organizations maintain data centers for longer.

Approaches include AI capacity planning, flexible workloads and forecasting energy use.

Make energy an AI capacity dependency

AI business cases should account for the following:

• Compute requirements.
• Power requirements.
• AI infrastructure constraints.
• Deployment timing.
• Regional availability.
• Energy costs.

The goal is to define AI infrastructure constraints early as a program dependency, not as an infrastructure issue discovered late in the process.

Build flexibility into workload architecture

Where technically and commercially practical, design workloads for the following:

• Geographic portability.
• Cloud or colocation flexibility.
• Variable scheduling.
• Data gravity.

This design provides options when a region encounters power or interconnection constraints.

Incorporate energy into planning decisions

Infrastructure teams should model energy requirements during planning. These requirements include the following:

• Power-demand growth.
• Alternative deployment locations.
• Delayed-capacity scenarios and "time-to-power" estimates.
• Energy-cost exposure.
• Clean energy and sustainability.

Connect these scenarios to business planning rather than treating them solely as engineering forecasts.

The CIO's role in energy resilience

Modern data center planning changes the fundamental energy question from, "Can we afford this power?" to "What is the business cost of failing to secure the capacity we need?"

Energy strategy now intersects with AI investment, capital allocation, vendor risk, geographic resilience and business continuity. CIOs don't need to own every energy decision, but they should consider energy needs in data center infrastructure planning and deployment dependencies. In addition to IT staff, key stakeholders in this process include the CFO, procurement, facilities, sustainability and risk teams.

Start by adding these four questions to the next infrastructure-capacity review session:

• How much power do we need?
• Where can we secure it?
• When will it be available?
• What happens if that assumption changes?

The answers will help prevent power constraints from derailing the organization's data center needs.

Damon Garn owns Cogspinner Coaction and provides freelance IT writing and editing services. He has written multiple CompTIA study guides, including the Linux+, Cloud Essentials+ and Server+ guides, and contributes extensively to TechTarget Editorial, The New Stack and CompTIA Blogs.