模拟中美AI生产模式，揭示AI独立创造对经济增速的显著提升
Modeling AI-Driven Production and Competitiveness A Multi-Agent Economic Simulation of China and the United States
- 构建多智能体经济模型，对比AI协作、网络效应与自主生产机制
- AI作为独立生产主体时，社会总产出增速远超传统人力模式
- 中国在智能体规模扩张与技术追赶上具备加速潜力，或可实现技术超越
随着人工智能技术的快速发展，社会经济系统正进入“人机协同创造”的新阶段。基于先前建立的多层次智能体经济模型，本文通过仿真比较了中美两国在不同机制（AI协作、网络效应、AI自主生产）下的宏观经济产出演变。结果显示：（1）当AI作为独立生产实体时，社会总产出的整体增长率远超传统人力驱动模型；（2）中国在智能体群体扩展和技术追赶速度方面展现出明显加速潜力，具备实现技术收敛甚至局部超越的可能性。本研究为理解AI驱动生产体系转型及国际竞争力变化提供了系统性建模分析框架，并为相关政策制定提供量化依据。
原文摘要 · Abstract (English)
With the rapid development of artificial intelligence (AI) technology, socio-economic systems are entering a new stage of "human-AI co-creation." Building upon a previously established multi-level intelligent agent economic model, this paper conducts simulation-based comparisons of macroeconomic output evolution in China and the United States under different mechanisms-AI collaboration, network effects, and AI autonomous production. The results show that: (1) when AI functions as an independent productive entity, the overall growth rate of social output far exceeds that of traditional human-labor-based models; (2) China demonstrates clear potential for acceleration in both the expansion of intelligent agent populations and the pace of technological catch-up, offering the possibility of achieving technological convergence or even partial surpassing. This study provides a systematic, model-based analytical framework for understanding AI-driven production system transformation and shifts in international competitiveness, as well as quantitative insights for relevant policy formulation.
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