In the race to dominate AI, energy is the ultimate bottleneck. As AI data centers proliferate, global electricity demand from these facilities is projected to double from 450 TWh in 2022 to over 1,000 TWh by 2026, with AI driving much of this surge. Leaders in the field are sounding the alarm on this unprecedented power hunger:

• “AI could eventually use 99% of the world’s electricity… We are never going to meet our climate goals anyway, so we may as well bet on building AI to solve the problem.” – Eric Schmidt, former Google CEO.

• “20 gigawatts of energy will be needed in the next 2-3 years to power new AI data centers - 5 Chicagos worth of energy.” – Alexandr Wang, CEO of Scale AI.

• “Eventually, the cost of AI will converge to the cost of energy.” – Sam Altman, CEO of OpenAI.

Projections from Goldman Sachs show U.S. AI data center power demand skyrocketing from 8 GW in 2024 to 15-30 GW by 2030, potentially representing 3-6% of national electricity use. Wells Fargo forecasts AI electricity consumption exploding from 8 TWh in 2024 to 652 TWh by 2030, an 80-fold increase. GridScale AI’s modular transformers are designed to meet this demand head-on, enabling rapid, scalable deployment to power the AI revolution.

GridScale AI is here to solve the Transformer Shortage and will be the answer to Power Production & AI Data Center needs.

The Explosive Growth of AI Power Demand: Why GridScale AI Is Essential