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AI's Energy Crisis: MIT's Top Tech Stories of 2025

MIT Technology Review's most popular stories of 2025 are in. Artificial intelligence's energy consumption topped the list. The report, published this year, reveals the massive resources AI demands.

Senior reporters James O'Donnell and Casey Crownhart conducted the investigation. They quantified AI's energy footprint, even down to individual queries. The study offered an unprecedented look at AI's resource needs.

The findings sparked a global conversation. Hundreds of millions now use generative AI daily. Understanding AI's energy use is crucial for future development.

MIT Technology Review published hundreds of articles in 2025. They covered computing, climate tech, robotics, and more. This AI energy report resonated most with readers.

The research will inform future AI development. It will also guide discussions on sustainable AI practices. Further investigation into AI's environmental impact is expected.

Multi-Source Journalism

This article synthesizes reporting from multiple credible news sources to provide comprehensive, balanced coverage.

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