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Is Efficiency Leading to More AI Usage?

Is Efficiency Leading to More AI Usage?

The Jevons Paradox shows that improving efficiency can lead to increased resource use rather than less. This idea, which originated in the 19th century, has gained modern relevance with the rise of AI technologies. Microsoft’s Satya Nadella highlighted this paradox, suggesting that as AI becomes more efficient, demand for it will soar, potentially leading to greater energy consumption. Historical examples, like the increased use of lighting despite better efficiency, illustrate this phenomenon. However, while this might comfort tech leaders, the fundamental demand structure will ultimately determine the extent of the rebound effect, highlighting the complexity of balancing efficiency and consumption.

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