Artificial intelligence will initially put energy grids under a lot of pressure before its innovative features will help cut ...

The world is projected to see a massive jump in data center and artificial intelligence demand for electricity by 2030, a recently released International Energy Agency report says.

Increases in U.S. power consumption are driven by the expansion of “always on” data centers and clean-technology factories, ...

The use of artificial intelligence (AI), particularly generative AI, relies on a lot of energy. As its adoption grows and ...

has published its first major report on the AI gold rush’s impact on global energy consumption — and its findings paint a worrying, and perhaps contradictory, picture. Energy use from data ...

rather than reducing energy consumption, this decentralization will create new demands on distributed energy systems, powering a global network of AI-enabled devices. History tells us that ...

Data centers accounted for about 1.5 percent of global electricity consumption in 2024, an amount expected to double by 2030 ...

Data center growth spurred largely by generative AI is expected to cause global energy demand to surge in the coming years ...

In many places, a sharp uptick in power demand has been driven by data centers, the industrial buildings that house huge ...

Penn Engineers have developed the first programmable chip that can train nonlinear neural networks using light—a breakthrough ...

And foundation models are a lot more reusable than rockets. Raising a flag over AI’s energy use makes sense. It identifies an important challenge and can help rally us toward a collective solution.