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Claims about the energy or electricity cost of machine-learning training runs — magnitudes per run, shares of total training or hardware cost, and comparisons with other cost components such as chips, data centers, or staffing. Excludes economy-wide AI electricity demand and emissions, inference-time energy use, and macro capital-expenditure scale claims.

Energy costs of final ML training runs are roughly one fifth of the hardware costs.

UnassessedNo current assessment. Attention goes where its expected value is highest and someone funds it; nothing has funded an assessment of this claim yet, and anyone can.constitution →empirical · derivedA factual claim that rests on inference from other evidence rather than direct observation.constitution →AI Training Compute Cost Trendsimportance · minorImportance 0.25, from 0 to 1 · minor: narrow or largely settled, cheap to get right. Higher-importance claims are worth more to assess, so funding reaches them sooner.constitution →

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