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The new economics of inference: why serving models now costs more than training them
A CompGenome analysis of how compute budgets are shifting from training runs to always-on inference.
CompGenome AnalysisPublished: Jun 20, 2026 at 12:00 PM Last updated 1 month ago 8 min read

For years the headline number in AI was the cost of training a frontier model. That framing is changing. As adoption scales, the recurring cost of inference — serving predictions to users around the clock — increasingly dwarfs the one-time cost of training.
This premium analysis breaks down the unit economics: the drivers of per-query cost, the role of spec
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