Definition

Artificial intelligence (AI) workloads consume vast amounts of electricity, turning power generation into a critical national asset. Aligning energy policy, infrastructure projects, and skilled labor pipelines ensures the United States can sustain AI growth while delivering economic benefits.

AI Compute Energy Demand

Modern large language models and generative AI systems require sustained high‑performance compute, which translates into significant power usage.

• Peak megawatt requirements for training runs can exceed 100 MW per data center.
• Inference workloads add a continuous baseline load, often 20–30 % of training peaks.
• Cooling and ancillary systems account for roughly half of total facility power draw.
• Regional climate impacts efficiency; cooler climates reduce cooling energy.
• Future model scaling forecasts a 3‑to‑5× increase in power needs by 2030.

National Energy Strategy for AI

Coordinated policy actions can close the "electron gap" between the United States and leading competitors.

• Set a target of adding 100 GW of clean generation capacity annually.
• Incentivize cloud‑centric architectures that share load across multiple sites.
• Modernize permitting processes to accelerate renewable project deployment.
• Encourage public‑private partnerships for on‑site generation at AI facilities.
• Implement grid‑integration standards that allow AI sites to feed excess power back to local networks.

Workforce Development for AI Infrastructure

Building and operating power‑intensive AI facilities demands a skilled trades and technical workforce.

• Launch certification programs focused on high‑voltage systems, data‑center cooling, and AI hardware maintenance.
• Partner with community colleges to create apprenticeship pipelines.
• Provide portable credentials that transfer across regions and employers.
• Project a need for a 20 % increase in skilled trades personnel over the next five years.
• Leverage existing AI‑driven training platforms to personalize learning pathways.

Regional Deployment Models (Stargate Sites)

Strategically located compute hubs can balance grid impact and local economic growth.

• Site selection based on proximity to abundant renewable resources (e.g., wind in Texas, solar in Arizona).
• Design facilities to operate at partial load during off‑peak grid hours.
• Integrate onsite storage to smooth demand spikes.
• Collaborate with local utilities to upgrade transmission capacity.
• Ensure community benefit clauses that include job creation and shared energy returns.