The Economics of AI Token Costs and Their Future Implications

The article discusses the rapid decline in AI token costs, driven by advancements in hardware, models, and inference engines, predicting a future where quality and access, rather than token count, will be the primary constraints. It highlights supply-side and demand-side Jevons Paradox effects, emphasizing the transformative potential of cheaper AI infrastructure.

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