Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directions

2026-07-27

AI Summary

This study investigates how artificial intelligence (AI) shapes the developmental trajectories and challenges of innovation ecosystems. By deconstructing the triadic dimensions of physical, social, and cognitive spaces, it introduces the novel conceptual framework of the “Artificial Intelligence Innovation Ecosystem” (AIIE). Adopting an evolutionary perspective, the work analyzes the mechanisms through which AI operates across different stages of ecosystem development and validates the framework’s efficacy through representative case studies. The research systematically elucidates AI’s distinctive role within innovation ecosystems, establishes the theoretical legitimacy of the AIIE construct, and identifies four critical challenges alongside promising avenues for future inquiry.

Abstract

The development of the Innovative Ecosystem (IE) presents a new paradigm for economic integration, collaborative advancement, and shared achievements. The rise of Artificial Intelligence (AI) has significantly accelerated the global processes of digitization, informatization, and intelligence. Exploring how AI can leverage inherent characteristics to influence the development trajectory of IE is a topic that warrants further investigation. Given AI's increasing prominence and role within IE, the paper analyzes this new form, examining both AI's unique contributions to IE and its potential challenges. Firstly, the paper synthesizes the conceptual frameworks surrounding IE, decomposing them into manifestations in physical, social, and thinking spaces. Furthermore, the concept of Artificial Intelligence IE (AIIE) is introduced from a spatial perspective, with an exploration of the characteristics AI contributes to IE. Subsequently, the paper employs an evolutionary perspective to analyze the roles provided by AI during different development periods of AIIE. The paper then verifies the feasibility, effectiveness, and rationality of the AIIE's definition and analyzes AIIE development from an evolutionary perspective using enterprise development examples. Finally, acknowledging AI's inherent limitations, the paper examines potential challenges facing AIIE in the future from four perspectives, aiming to identify new research avenues for the further development of AIIE.

Problem

• Artificial Intelligence
• Innovation Ecosystem
• AIIE
• Evolutionary Development
• Future Challenges

Innovation

• Artificial Intelligence Innovation Ecosystem
• AIIE
• evolutionary perspective
• spatial decomposition
• digital transformation