AI as a universal collaboration layer: Eliminating language barriers in global teams
Abstract
Advances in artificial intelligence are reshaping how globally distributed teams collaborate. While language has traditionally constrained coordination and knowledge sharing, recent developments in multilingual language models, multimodal systems, and AI agents are reducing reliance on shared human language. This study introduces the concept of AI as a universal collaboration layer that mediates communication, aligns intent, and supports coordinated execution across linguistically diverse teams. A conceptual framework is proposed to explain how AI capabilities translate into improved productivity, inclusion, and scalability. The paper further presents illustrative case examples and discusses implications for organizational design, governance, and future research.
Fields of Study & Subjects
Team Dynamics and Performance
Artificial Intelligence Applications
Language
Communication
and Linguistic Studies
Publication details
- Journal / source
- International Journal of Science and Research Archive
- Publication date
- 31 January 2026
- Language
- EN