Prospects for the use of artificial intelligence in national economies
Rubrics: SCIENTIFIC ARTICLES
Authors:
1.
Kuban’ State University, branch in Slavyanks-na-Kubani
(docent)
employee
employee
Type:
Article
Pages:
from 148
to 156
Status:
Published
Received:
24.11.2025
Accepted:
03.12.2025
Published:
03.12.2025
Subject area:
UDC 330
Language:
Russian
Keywords:
AI, genAI, information, digital economy, global economy, economic growth, global market, investments in AI, neural networks
Abstract (English):
This article examines the potential for further implementation of AI in the economies of the world. It analyzes both the progress that has already been made and the medium- and long-term prospects for this process. The article attempts to predict further improvements in economic and social life that can be achieved through AI, based on the results that have already been achieved. It also examines the risks associated with these processes and how they can be mitigated. The relevance of this research is driven by the growing importance of various forms of AI (such as neural networks and the development of machine learning techniques in various sectors of society) in the development of national economies. Tracking the dynamics of AI implementation in various national economies and comparing the macroeconomic indicators of countries with different levels of AI implementation in their economies allows us to assess the effectiveness of this process and its positive and negative aspects.
This article examines the potential for further implementation of AI in the economies of the world. It analyzes both the progress that has already been made and the medium- and long-term prospects for this process. The article attempts to predict further improvements in economic and social life that can be achieved through AI, based on the results that have already been achieved. It also examines the risks associated with these processes and how they can be mitigated. The relevance of this research is driven by the growing importance of various forms of AI (such as neural networks and the development of machine learning techniques in various sectors of society) in the development of national economies. Tracking the dynamics of AI implementation in various national economies and comparing the macroeconomic indicators of countries with different levels of AI implementation in their economies allows us to assess the effectiveness of this process and its positive and negative aspects.
Keywords:
AI, genAI, information, digital economy, global economy, economic growth, global market, investments in AI, neural networks
AI, genAI, information, digital economy, global economy, economic growth, global market, investments in AI, neural networks
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