AI token budget
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Scaling Down Token Budgets, Not Team Size
Nvidia CEO Jensen Huang proposed an “AI token budget” as an engineer’s worth metric, alarming if annual AI token consumption is less than half their salary. This highlights a broader industry trend of shifting capital from human resources to AI token expenditure, with companies like Meta and Uber facing challenges with ROI on AI investments and high token costs. Experts suggest optimizing token usage through prompt caching, model selection, and batch processing, and reinvesting savings into augmenting, not replacing, human talent, especially entry-level positions, to ensure long-term AI success.
