AI-Driven Blue Ocean Strategies in BRICS: Advancing SDG 9 Through Disruptive Innovation, Infrastructure Empowerment and Inclusive Industrial Growth

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Authors: Garima Singhal, Shaveta Sharma, Monika Khanna, Olubiyi Timilehin Olasoji
Cited by: 0
References: 29

Abstract

Abstract Purpose This study explores the strategic convergence of Artificial Intelligence (AI) and Blue Ocean Strategy (BOS) as transformative catalysts for sustainable industrial growth in BRICS countries, contextualised within the framework of Sustainable Development Goal 9 (SDG 9): Industry, Innovation and Infrastructure. Design/Methodology/Approach A qualitative-analytical methodology is employed, integrating systems thinking and comparative geopolitical analysis. The study uses secondary data to construct multi-metric tabulations, interpret policy architectures and evaluate AI-driven strategic trajectories across BRICS nations. Findings The research reveals asymmetrical, yet converging, trajectories in BRICS industrial ecosystems, with China and India emerging as frontrunners in AI adoption and strategic innovation, while Brazil, Russia and South Africa face structural constraints. The Blue Ocean paradigm facilitates non-linear market expansion, value creation without competition and inclusive growth. Research Limitations/Implications The study is conceptual and limited by the availability of real-time longitudinal data on AI deployment and Blue Ocean adoption in public-sector industries. Practical Implications Policymakers and corporate strategists can leverage AI-Blue Ocean synergies to design anticipatory infrastructure, decentralised innovation models and inclusive industrial ecosystems. Originality/Value This is one of the few studies to examine the triangulation of AI, BOS and SDG 9 within BRICS economies, offering a novel strategic blueprint for inclusive and sustainable industrial transformation.

Fields of Study & Subjects

Business Strategies and Innovation Innovation and Socioeconomic Development Economic Development and Digital Transformation

Publication details

Journal / source
Emerald Group Publishing Limited eBooks
Pages
13–32
Publication date
13 January 2026
Language
EN
Document type
Book chapter