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变革性人工智能下的经济增长

Economic Growth Under Transformative AI
Annual Review of Economics · 2026 · Philip Trammell、Anton Korinek

中文摘要

人工智能的最新进展可能预示着能够自动化几乎所有工作的系统即将到来。我们在一个综合了相关文献多个脉络的框架内,考察了这一情境的宏观经济含义。稳健的结论是,仅仅完全自动化生产(从而使机器能够自我复制)就会大幅提高增长率并降低劳动份额,打破长期表征前沿增长的卡尔多事实。自动化研发(从而使机器能够自我改进)将加速这一转型,但可能无法单独促成转型。工资——激增的产出与骤降的劳动份额的乘积——可能上升也可能下降,这取决于规模报酬、自然资源的重要性、偏好与技术变化的方向。

Abstract

Recent advances in artificial intelligence may herald the near arrival of systems that can automate essentially all work. We review the macroeconomic implications of this scenario in a framework that synthesizes several strands of the relevant literature. Robustly, fully automating production alone (so that machines can self-replicate) would dramatically raise the growth rate and lower the labor share, breaking the Kaldor Facts that have long characterized frontier growth. Automating research and development (so that machines can self-improve) would accelerate the transformation but may not produce it in isolation. Wages—the product of exploding output and a plummeting labor share—may rise or fall, depending on the returns to scale, the importance of natural resources, tastes, and the direction of technical change.
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