IEEE, Lewis Center, Ohio, USA.
International Journal of Science and Research Archive, 2026, 18(01), 424-428
Article DOI: 10.30574/ijsra.2026.18.1.0072
Received on 05 December 2025; revised on 12 January 2026; accepted on 14 January 2026
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.
Artificial Intelligence; Global Teams; Collaboration Systems; Multilingual AI; Technology Management
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RAJU BANDARU. AI as a universal collaboration layer: Eliminating language barriers in global teams. International Journal of Science and Research Archive, 2026, 18(01), 424-428. Article DOI: https://doi.org/10.30574/ijsra.2026.18.1.0072.
Copyright © 2026 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0







