Infrastructure at an Inflection Point: Utilities in the age of AI
Artificial intelligence (AI) has emerged as one of the most powerful drivers of electricity demand growth in decades. Over the next ten years, the rapid expansion of data centers, semiconductor manufacturing, and AI infrastructure will drive unprecedented growth in both load and capital spending across U.S. power markets.
This shift is transforming the electric sector’s infrastructure in tangible ways, straining the grid, reshaping supply chains, and forcing new contracting models. AI is no longer just a technology story; it is redefining how power systems are built, financed, and operated. Procurement leaders have a critical opportunity to shape this transition rather than react to it.
AI-driven load growth is already outpacing the development of generation and transmission infrastructure. At the same time, the U.S. grid is aging, with much of its equipment over 40 years old and many transmission and substation assets operating beyond their original design life. Supply constraints and price volatility are making it increasingly difficult to procure critical equipment on time and within budget. As a result, procurement organizations are now central to solving what may be the decade’s defining infrastructure challenge.
Leading procurement teams are turning the AI surge into an operational advantage, improving reliability outcomes, enabling more accurate capital planning, and ensuring that new capacity, including emerging energy sources, comes online on schedule.
Data center demand is driving a new era of power consumption
Demand projections keep climbing
Utilities project 166 GW of peak‑load growth by 2030, largely from data centers.1 BloombergNEF increased its 2035 forecast by 36% in the span of a few months.2
Even after debiasing speculative proposals, growth remains far above past trends. Procurement can expect capacity costs and rate pressures to rise.
Demand projections vary
This data suggests that elevated demand will be sustained beyond one planning cycle.3
Where the money is flowing
- Google has committed $25 billion in investment across the PJM region, alongside a 3 GW hydroelectric framework agreement with Brookfield.5
Microsoft announced approximately $80 billion in fiscal year 2025 spending for AI-enabled data centers, with more than half of that investment focused in the U.S.6 - NVIDIA and its manufacturing partners have outlined a potential $500 billion U.S. AI hardware build-out that includes chip fabrication, advanced packaging, and large-scale server manufacturing.7
- These signal a sustained investment cycle that will place long-term pressure on both energy infrastructure and industrial supply chains.
The ripple effects on utility supply chains
- Competing industrial demand for semiconductors, copper, steel, and advanced electrical equipment are increasing timelines, reducing supply availability, and increasing prices.
- Permitting delays, labor shortages, and multiyear transformer lead times are impeding transmission expansion.
- Interconnection queue backlogs are affecting both new generation of projects and large-load customers.
Policy signals procurement teams must embed into contracts
Rapidly changing policy and regulations are significantly impacting grid investment strategies. Procurement teams must adapt contract structures to ensure long-term resilience, aligning with Federal Energy Regulatory Commission (FERC) Order No. 1920 and addressing interconnection backlogs and evolving reliability risks.
To optimize project outcomes, procurement strategies should prioritize flexibility in project sizing, incorporate grid-enhancing technologies, and anticipate regional cost-sharing shifts. Furthermore, proactively integrating federal incentives into sourcing decisions will maximize value and ensure regulatory compliance across generation, transmission, and storage assets.
Five supply chain hotspots utilities procurement cannot ignore
- Long equipment leads times and supply volatility: Transformers and high‑voltage equipment continue to face multi‑year lead times, while raw‑material volatility driven by supply‑demand imbalances affects pricing and availability. Procurement teams can mitigate these risks by aligning equipment specifications across projects, qualifying multiple suppliers where possible, and negotiating surge‑capacity provisions to support accelerated infrastructure deployment.
- Operational and contractual complexity at interconnection points: High‑density data center interconnections introduce new operational and contractual considerations for utilities. Procurement and contracting teams should ensure agreements include performance guarantees and provisions for load‑modulation technologies that help maintain grid stability during peak conditions.
- Accelerated time‑to‑power through hybrid and dispatchable resources: Gas peaking facilities and on‑site power solutions, including microgrids and hybrid distributed energy systems, can significantly accelerate time‑to‑power for new facilities. Procurement teams must structure contracts that integrate fuel supply, emissions compliance, and operational reliability across these hybrid power arrangements.
- Permitting and interconnection delays for clean energy projects: Renewables generation, new nuclear and energy storage projects continue to face permitting delays and interconnection backlogs that can disrupt project schedules. Procurement teams should prepare contingency pathways that include hybrid power purchase agreements, flexible delivery timelines, and hedging strategies that protect utilities from market exposure if projects slip.
- Workforce and installation capacity constraints: Workforce and installation capacity remains a major constraint for infrastructure deployment across the power sector. Procurement contracts should incorporate prevailing wage and apprenticeship compliance while also including schedule accountability provisions that encourage timely project completion. Workforce constraints are a long-term bottleneck. Trade labor shortages will outlast current AI build cycles. Procurement can play a critical role in delivery assurance.
The operating model for best‑in‑class procurement
Leading procurement organizations are operating ahead of demand, integrating sourcing strategy with infrastructure planning to accelerate delivery and unlock superior financial outcomes. Rather than reacting to shortages, they proactively de‑risk supply by pre‑qualifying OEMs to shorten transformer and switchgear lead times, securing secondary manufacturing capacity well before interconnection approvals, and structuring performance‑based contracts aligned with evolving grid requirements.
As AI-driven power demand continues to outpace grid expansion, procurement is evolving into a portfolio-level risk management function. Top-performing teams align equipment strategies with regional planning scenarios and data center development pipelines to secure capacity early. They also embed federal incentives into sourcing decisions to capture full economic value and maintain tight coordination with system planning and regulatory teams, particularly during FERC Order No. 1920 planning cycles.
This shift is not incremental; it is structural. The AI economy is redefining infrastructure timelines, supply chains, and capital deployment. Utilities that elevate procurement today will be best positioned to deliver reliable, cost-efficient power at scale. With the right strategy and experienced partners, procurement becomes more than an enabler; it becomes a strategic driver of infrastructure readiness in the AI era.
Sources:
2. AI and the Power Grid: Where the Rubber Meets the Road
3. Data center grid-power demand to rise 22% in 2025, nearly triple by 2030
4. DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers
5. Brookfield and Google Sign Hydro Framework Agreement to Deliver up to 3,000 MW of Homegrown Energy in the United States
6. Microsoft expects to spend $80 billion on AI-enabled data centers in fiscal 2025
7. Nvidia Says It Will Build Up to $500 Billion of AI Gear in US