AI Revolution and the Triple Helix Dynamics in Economy

Document Type : Original Article

Author

Associate Professor, Department of Management and Economics, Faculty of Humanities and Social Sciences, Golestan University, Gorgan, Iran

10.22034/jstp.2025.11860.1845

Abstract

This study examines the transformative effects of the Artificial Intelligence (AI) revolution on the dynamics of the Triple Helix model—interactions among universities, industries, and governments—and its implications for economic growth and development. The Triple Helix framework, as a theoretical model for facilitating innovation, plays a pivotal role in directing knowledge flows and fostering cross-sectoral collaboration. The advent of AI technologies has blurred traditional boundaries among universities, industries, and governments, reshaping roles and interactions within the innovation ecosystem. Using a dynamic general equilibrium model, this research simulates the impacts of an AI-induced shock on mechanisms of knowledge creation, technological advancement, and intersectoral collaboration. The findings reveal that greater efficiency in university knowledge production, targeted governmental support, and stronger collaboration with advanced industries significantly enhance the positive effects of AI on economic growth. Additionally, countries with a higher share of advanced, technology-driven industries stand to benefit more from this revolution. The study underscores the importance of policies that strengthen innovation ecosystems, support knowledge-based clusters, expand investments in advanced technologies, and promote collaborations among universities, industries, and governments. The results suggest that sustainable economic development in the AI era requires a comprehensive and synergistic approach among these three critical pillars.

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References

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