Artificial Intelligence (AI) and Economic Diversification: A Cross-Sectional Analysis

Noha Ghazy ()
Additional contact information
Noha Ghazy: German International University (Cairo), Faculty of Economics and Business Administration

Chapter Chapter 9 in Proceedings of the Global Conference on Economic Diversification 2024, 2026, pp 187-206 from Springer

Abstract: Abstract This paper aims to examine the importance of Artificial intelligence (AI) in fostering Economic Diversification by utilizing the Global AI Index for the former. Meanwhile, for the later, the Economic Diversification Index and its sub-indices, namely: Revenue Diversification, Output Diversification, and Trade Diversification were used for a cross-sectional sample of 47 countries. The results demonstrated a significant positive relationship between AI and Economic Diversification in general, and Output and Trade diversification in specific. This triggered further investigation to how policy makers could nurture AI to stimulate higher Trade and Output diversification. The results showed that in drafting AI policies for the aim of higher trade and output diversification, the main focus should be directed towards AI related Talent, the operating environment, and Research & Development in AI.

Keywords: Artificial intelligence (AI); Economic diversification; Cross-sectional data (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:prbchp:978-981-95-2022-0_9

Ordering information: This item can be ordered from
http://www.springer.com/9789819520220

DOI: 10.1007/978-981-95-2022-0_9

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().