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The cost of achieving a given level of AI performance has fallen approximately 47% per quarter over the past three years—a 13-fold annual decline faster than any other transformative technology in history. For example, the cost to achieve 75% accuracy on a benchmark test dropped roughly 725-fold between January 2025 and mid-2026. This dramatic decrease in inference costs means frontier AI models are becoming both more capable and significantly cheaper to operate, which may limit the competitive threat posed by open-source models.
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