<p>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.</p>

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

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

  • Sin-Yu Ho,
  • Fiyinfoluwa Giwa

摘要

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.