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special issue

Vol. 2 No. 3 (2026): International Journal of Multidisciplinary Research

Value Transmission Pathways of AI-Driven Cross-Domain Innovation: A Literature Review (2022-2026)

  • Lu Yuan
Submitted
March 25, 2026
Published
2026-04-02

Abstract

Artificial intelligence (AI) has become a pivotal driver of cross-domain value creation, with its innovative potential transmitting across healthcare, quantum science, digital commerce, cybersecurity, and finance through distinct pathways. This review synthesizes 10 recent studies (2022-2026) to identify three core value transmission mechanisms: technical empowerment (transfer of AI algorithms and architectures to solve domain-specific problems), data circulation (privacy-protected data flow enabling cross-sector insight sharing), and ecosystem radiation (inclusive frameworks extending AI benefits to diverse stakeholders). By analyzing how value propagates from AI innovation hubs to peripheral sectors, the paper reveals that effective transmission relies on algorithmic adaptability, data trustworthiness, and stakeholder inclusivity. The findings provide a novel framework for understanding how AI innovation generates spillover effects across domains, offering guidance for researchers optimizing value transmission efficiency and practitioners leveraging cross-domain AI dividends.

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