Google Electricity Use Surges 37 Percent as AI Data Center Buildout Accelerates

Google reported a 37% surge in electricity consumption in 2026, driven almost entirely by the expansion of its AI data centers, the company disclosed in July.

The figure highlights the enormous energy demands of modern AI systems. Training and running large language models requires vast amounts of computing power, which in turn requires significant electricity.

Google is not alone. Major technology companies are racing to secure energy supply to support AI infrastructure. Bloom Energy and Brookfield announced a $25 billion collaboration to deploy fuel cells for data center power. National Grid invested $1.75 billion into the US energy platform Joulent. Microsoft and Lightstorm are developing a 3,600-kilometer undersea cable connecting India, Malaysia, and Singapore to support cloud and AI demand.

SK Hynix raised $26.5 billion in a Nasdaq debut to fund production of high-bandwidth memory chips, which are essential for AI computing. General Fusion went public on Nasdaq as the first publicly traded fusion energy company, signaling investor interest in long-term energy solutions for the AI era.

The energy surge is raising questions about the environmental impact of AI. Data centers already account for a significant share of global electricity consumption, and demand is expected to keep rising as AI capabilities expand.

Apple reclaimed the position of the world''s most valuable company in July 2026, surpassing Nvidia. Analysts attributed the shift to growing investor focus on consumer-facing AI distribution rather than the chip infrastructure that powers it.

Nvidia remains under scrutiny over allegations that its AI chips were smuggled to China in violation of US export controls. Federal investigators are probing the alleged smuggling network.