AI models are out on an energy-intensive training session with no end in sight. The training takes place on the servers in the world’s data centers, which currently number just over 10,000. Especially the large language models and generative AI that creates images and videos consume huge amounts of electricity.

They are so voracious that the International Energy Agency (IEA) has estimated that the power they needed for computing increased a billion-fold from 2022 to 2024.

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Our cars are responsible for about 20 per cent of global carbon emissions. The move to electric vehicles (EVs) is central to the effort to decarbonize the world’s transport.  

Electrifying only half of passenger cars could cut 1.5 billion tons of CO₂annually.

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Even as coal power continues its steady decline in the United States, more than a hundred plants still have no retirement plans—a gap large enough to derail national climate goals. A new study led by UC Santa Barbara researchers offers a way forward, showing how targeted, data-driven approaches could help accelerate the transition.

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The Trump administration wasted no time in tapping individuals with ties to fossil fuel industries and right-wing think tanks funded by oil tycoons for key environmental and energy policy positions, according to a new report.

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