In the long run, the improvement in AI algorithm efficiency will trigger a positive cycle of "efficiency → demand":
Improvement in efficiency → 2. Reduction in costs → 3. Expansion of application scenarios / increase in model complexity → 4. Increase in total computational demand → 5. Iteration of hardware technology (such as upgrades in high-end graphics cards).
Therefore, the demand for high-end graphics cards will not decrease due to the improvement in algorithm efficiency. Instead, it may continue to grow due to the popularization and increasing complexity of AI applications. This trend has been verified by both historical patterns (Jevons Paradox) and industry forecasts (such as a 4.7% increase in electricity demand and exponential growth in computational power demand).
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