For the last year, analysts have warned that the data centers needed for AI would drive up power demand and, by extension, emissions as utilities build out natural gas infrastructure to help meet demand.

Chinese artificial intelligence startup DeepSeek stunned markets and AI experts with its claim that it built its immensely popular chatbot at a fraction of the cost of those made by American tech titans.

Did DeepSeek just deep-six estimates about AI's energy needs? The Chinese upstart claims a far more efficient AI model, raising questions about power demand.

It's true that training and using AI models like ChatGPT consume large amounts of electricity, resulting in the release of greenhouse gas emissions.

The future belongs to those who prepare for it, transforming challenges into opportunities and reshaping industries along the way.

The Chinese AI company roiled financial markets and showed the road to growth in electricity demand may be bumpy.

The data hasn’t improved since then, although, fortunately, AI tools have vastly improved and offer new possibilities.

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.

The startups and power producers that are betting big on new nuclear are vulnerable to an energy efficient AI model.

The Chinese company is rapidly changing assumptions about individual models’ power needs, but the AI sector’s emissions are still a concern.

President Donald Trump’s pick for director of the Office of Science and Technology Policy, Michael Kratsios, holds just a bachelor’s degree in political science, but his extensive background in Artificial Intelligence makes him an attractive appointment amid the United States’ struggle with China over gaining AI supremacy.