MIT Technology Review is a 2026 ASME finalist in reporting
摘要
《麻省理工科技评论》凭借其关于人工智能能源消耗的深度报道，入选2026年美国国家杂志奖（ASME）报道类奖项最终提名。该报道通过长达六个月的调查，首次系统揭示了AI的庞大能源足迹、其能源来源及潜在成本。报道发布后，推动了包括OpenAI在内的多家主要AI公司公开其模型的能耗数据。
The American Society of Magazine Editors has named MIT Technology Review as a finalist for a 2026 National Magazine Award in the reporting category.
The shortlisted story—“We did the math on AI’s energy footprint. Here’s the story you haven’t heard”—is part of the publication’s Power Hungry package on AI’s energy burden.
AI is often described as a black box, but it’s not just its inner workings that are mysterious. Leading AI companies have kept figures on energy use closely guarded, making it hard to determine its climate impact. In a rigorous investigation, senior AI reporter James O’Donnell and senior climate reporter Casey Crownhart spent six months digging through hundreds of pages of reports, interviewing experts, and crunching the numbers.
The team drilled down into the energy cost of a single prompt, and then zoomed out to build a broader picture illustrating the potential impacts of AI’s current and future energy demand. Their work revealed just how big AI’s energy footprint is, where that energy comes from, and who will pay for it. In the months following the project’s publication, major AI companies including Open AI, Mistral, and Google published details about their models’ energy and water usage.
The 2026 awards will be presented in New York City on May 19.
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