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Main Author: Gondauri, Davit
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2506.03156
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author Gondauri, Davit
author_facet Gondauri, Davit
contents Today, the economy is greatly influenced by Artificial General Intelligence (AGI). The purpose of this paper is to determine the impact of the quantitative relations of AGI on the country's economic parameters. The authors use the analysis of historical data in the research, develop a new mathematical algorithm that refers to the level of AGI development, and conduct a regression analysis. The economic effect of AGI is deduced if it affects the growth of real GDP. As a result of the analysis, it is revealed that there is a positive Pearson correlation between the growth of AGI and real GDP; that is, to increase GDP by 1%, an average increase of 12.5% of AGI is required.
format Preprint
id arxiv_https___arxiv_org_abs_2506_03156
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gauging Growth: AGI Mathematical Metrics for Economic Progress
Gondauri, Davit
General Finance
Today, the economy is greatly influenced by Artificial General Intelligence (AGI). The purpose of this paper is to determine the impact of the quantitative relations of AGI on the country's economic parameters. The authors use the analysis of historical data in the research, develop a new mathematical algorithm that refers to the level of AGI development, and conduct a regression analysis. The economic effect of AGI is deduced if it affects the growth of real GDP. As a result of the analysis, it is revealed that there is a positive Pearson correlation between the growth of AGI and real GDP; that is, to increase GDP by 1%, an average increase of 12.5% of AGI is required.
title Gauging Growth: AGI Mathematical Metrics for Economic Progress
topic General Finance
url https://arxiv.org/abs/2506.03156