Artificial Intelligence as a New Factor of Global Economic Growth

Vasile Mazilescu
Additional contact information
Vasile Mazilescu: Dunarea de Jos University of Galati, Romania

Economics and Applied Informatics, 2018, issue 3, 124-133

Abstract: The main purpose of this paper is to outline that Artificial Intelligence (AI) will have a huge impact on the global economy, and global GDP could increase as a result of its implementation, making AI the biggest trading opportunity in the ever-changing economy. Intelligence is the extraordinary ability of a system to reason, calculate, perceive relationships and analogies, classify, generalize, learn from experience, store and retrieve information from memory, adapt new situations, solve planning problems, comprehend complex ideas, use natural language fluently. Software that uses intelligence will most contribute to the growth of AI as an industry in the coming years. When we have data from the people, processes, and things that reside on our network and analyze that data by looking at patterns semanticaly, you can better identify emerging customer needs, uncover trends, and innovate faster than competitors. The more data we can collect and analyze, the more opportunities will open more for us.

Keywords: AI; Impact on the global economy; Economic growth (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.eia.feaa.ugal.ro/images/eia/2018_3/Mazilescu.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2018:i:3:p:124-133

DOI: 10.26397/eai1584040924

Access Statistics for this article

More articles in Economics and Applied Informatics from "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration Contact information at EDIRC.
Bibliographic data for series maintained by Gianina Mihai ().