Gauging Growth: AGI’s Mathematical Metrics for Economic Progress
- Davit Gondauri
- Maia Noniashvili
- Mikheil Batiashvili
- Nino Enukidze
Abstract
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 the 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.
- Full Text: PDF
- DOI:10.5539/ijbm.v19n1p94
Journal Metrics
Google-based Impact Factor (2023): 0.86
h-index(2023): 152
i10-index(2023): 1168
Index
- Academic Journals Database
- ACNP
- AIDEA list (Italian Academy of Business Administration)
- ANVUR (Italian National Agency for the Evaluation of Universities and Research Institutes)
- Berkeley Library
- CNKI Scholar
- COPAC
- EBSCOhost
- Electronic Journals Library
- Elektronische Zeitschriftenbibliothek (EZB)
- EuroPub Database
- Excellence in Research for Australia (ERA)
- Genamics JournalSeek
- GETIT@YALE (Yale University Library)
- IBZ Online
- JournalTOCs
- Library and Archives Canada
- LOCKSS
- MIAR
- National Library of Australia
- Norwegian Centre for Research Data (NSD)
- PKP Open Archives Harvester
- Publons
- Qualis/CAPES
- RePEc
- ROAD
- Scilit
- SHERPA/RoMEO
- Standard Periodical Directory
- Universe Digital Library
- UoS Library
- WorldCat
- ZBW-German National Library of Economics
Contact
- Stephen LeeEditorial Assistant
- ijbm@ccsenet.org