{"ID":2856158,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.11085","arxiv_id":"2510.11085","title":"Modeling AI-Driven Production and Competitiveness A Multi-Agent Economic Simulation of China and the United States","abstract":"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.","short_abstract":"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 Chi...","url_abs":"https://arxiv.org/abs/2510.11085","url_pdf":"https://arxiv.org/pdf/2510.11085v1","authors":"[\"Yuxinyue Qian\",\"Jun Liu\"]","published":"2025-10-13T07:28:14Z","proceeding":"cs.AI","tasks":"[\"cs.AI\"]","methods":"[]","has_code":false}