杰文斯悖论原本用于说明技术进步提升资源利用效率后，反而导致资源消耗量的增加，因而在AI领域，这一悖论同样值得关注。具体而言，随着算力性能的大幅提升，AI的潜在应用场景日益增加。初步看来，算力的增加应该能减少资源的过度消耗，却可能因此刺激了更高的算力需求和应用。这种现象揭示出算力消费的复杂性及其多元驱动因素，涵盖了市场需求、技术发展以及应用场景的变化。

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