Amir Arjomandi, University of Wollongong

Zhiming Cheng, Macquarie University

Reza Kiani Mavi, Edith Cowan University

This special issue investigates how artificial intelligence affects economic performance across firms, workers, industries and economies. While AI promises significant productivity improvements, these gains are not guaranteed and may be unevenly distributed, depending on complementary investments in skills, management practices and digital capabilities. The issue also examines new risks and adjustment costs that accompany AI adoption.

The collection seeks empirical and applied research exploring the conditions under which AI generates productivity gains and stronger economic performance, and what mechanisms drive these effects across different contexts. Rather than simply determining whether AI affects productivity, the special issue aims to explain why effects differ, what conditions are necessary to realise them, and how productivity gains interact with economic risks.

Appel publié par Applied Economics. Voir l'appel sur le site de l'éditeur. Fiche de l'appel sur kerostig.

Potential topics

• AI adoption, productivity and firm performance
• AI, labour productivity, skills, employment and organisational change
• Complementary investments and barriers to AI-driven productivity gains
• AI, innovation, entrepreneurship, investment and resource allocation
• Heterogeneous effects of AI across firms, workers, industries, regions and economies
• AI-driven productivity gains, economic risks and adjustment costs
• Aggregate productivity, economic growth and policy implications of AI

Timeline

• June 30, 2027: Manuscript submission deadline