Skip to content

Research

Artificial Intelligence and Economic Development: A Systematic Review of Patterns and Pathways

Sin‐Yu Ho, Fiyinfoluwa Giwa · Journal of the Knowledge Economy · 3 Jul 2026

Read original sourceOpen access

Where this sits in the debate

Direction of the finding as read from the abstract by an AI model (AI-written).

Key takeaway AI-written

A systematic review of 194 peer-reviewed articles from 2011-2025 on AI and economic development, covering labor markets, growth, income distribution, productivity, trade, innovation and poverty. It finds AI can raise productivity and growth but with uneven, context-dependent effects including job displacement and wider inequality, and notes the literature is fragmented.

Abstract

Abstract This study explores the relationship between artificial intelligence and economic development through a systematic review of 194 peer-reviewed articles published between 2011 and 2025. The analysis synthesizes evidence across multiple dimensions identified in the literature, including labour markets, economic growth, income distribution, productivity, trade, innovation, environmental sustainability, and poverty. The study also examines how these dimensions are interconnected within the broader framework of sustainable development. The findings suggest that AI functions as a general-purpose technology capable of enhancing productivity, fostering innovation, and supporting economic growth. However, its effects are often uneven and highly context-dependent, giving rise to potential trade-offs such as job displacement, widening inequality, and environmental challenges. Furthermore, the review reveals that the existing literature remains fragmented, with limited integration across these development dimensions. By providing a comprehensive and structured synthesis, this study highlights the interconnected pathways through which AI influences economic development and identifies important gaps that warrant further research.

About this publication

Academic journal. Published in an academic journal — typically peer-reviewed before publication, though indexing alone doesn't guarantee review depth.

Published
2026 (4 months ago)
Citations
0 (OpenAlex)

0 citations recorded by OpenAlex — too few 2026 papers in this collection for a fair comparison.

2020202120222023202420252026 published

More on this topic

Related by theme, not necessarily by method or conclusion.

Overview assembled automatically from collected metadata. How this site is built.