Dynamics of labor and capital in AI vs. non-AI industries: A two-industry model analysis

Author:

Huang XuORCID

Abstract

There is an imbalance in the development of artificial intelligence between industries. Compared to non-AI enterprise, AI- enterprise will save labor, enhance innovation capabilities, and improve production efficiency. By constructing a two-industry model of AI and non-AI enterprise, this paper finds that with the development of artificial intelligence in the same industry, the AI enterprise will occupy a dominant position, attracting labor and capital from the non-AI enterprise into the AI enterprise. In different industries, the development of artificial intelligence improves the production efficiency of the enterprise. However, due to the price effect, non-AI enterprise benefits more. Labor and capital flow from AI enterprise to non-AI enterprise. In order to promote the improvement of production efficiency in the whole society, the government can tax non-AI enterprise and subsidize them to AI enterprise. Taxation promotes the degree of automation and the improvement of production efficiency, but it has only a short-term effect on the development of AI. At the same time, taxation inhibits the development of non-AI enterprise, and there is a high risk of unemployment. When both industries use artificial intelligence for production, the labor share and the capital share of the two industries will tend to the same value. The convergence of technology measures is conducive to increasing labor income share and reducing income inequality, but it is not conducive to innovation.

Funder

the Ningbo Natural Science Foundation

the Ningbo Philosophy and Social Science Foundation

Young Innovative Talents of Guangdong Ordinary Colleges and Universities

Zhejiang Provincial Natural Science Foundation of China

Chinese National Funding of Social Sciences

Research Project Outcome of Zhejiang Provincial Federation of Social Sciences

Ministry of Education Humanities and Social Sciences Research Youth Fund Project

Zhejiang Philosophy and Social Science Project

Publisher

Public Library of Science (PLoS)

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