首页|Ningbo University of Finance and Economics Reports Findings in Artificial Intelligence (Dynamics of labor and capital in AI vs. non- AI industries: A two-industry model analysis)

Ningbo University of Finance and Economics Reports Findings in Artificial Intelligence (Dynamics of labor and capital in AI vs. non- AI industries: A two-industry model analysis)

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New research on Artificial Intelligence is the subject of a report. According to news reporting out of Ningbo, People’s Republic of China, by NewsRx editors, the research stated, “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.” Our news journalists obtained a quote from the research from the Ningbo University of Finance and Economics, “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.”

NingboPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.7)