The inexorable ascendancy of business intelligence (BI) and artificial intelligence (AI) within the economic architectures of BRICS nations delineates a paradigmatic shift toward algorithmically augmented strategic decision-making. This research undertakes a multifaceted epistemological exploration into the integration, proliferation, and macroeconomic ramifications of BI tools and AI-driven analytics, dissecting their implications on corporate governance, economic scalability, and geopolitical competitiveness. Employing a dual-pronged methodological construct, amalgamating quantitative econometric modeling with qualitative thematic deconstruction, this inquiry elucidates the stochastic interdependencies governing data-driven intelligence within heterogeneous economic substrata. Empirical findings underscore the heterogeneous diffusion of BI infrastructures across BRICS economies, with China and India emerging as technological vanguards, Russia and Brazil navigating transitory adoption trajectories, and South Africa exhibiting embryonic yet resolute assimilation tendencies. The inferential framework identifies algorithmic determinism, digital sovereignty, and data-driven strategic foresight as pivotal constructs delineating competitive asymmetry. The study further posits that BI-infused governance architectures engender operational dexterity, predictive agility, and economic resilience, necessitating an ontological recalibration of corporate oversight mechanisms. The research culminates in a synthesis of computational elasticity, regulatory harmonization, and AI-enhanced prescriptive analytics, delineating an emergent economic taxonomy wherein data intelligence constitutes the fulcrum of strategic supremacy. This study contributes to the corpus of AI-driven economic analytics, offering empirical substantiation and conceptual extrapolation of the transformative ramifications of intelligent decision-making ecosystems within evolving global economic hierarchies. © 2026 selection and editorial matter, Swati Gupta, Sanjay Taneja, and J. Paulo Davim; individual chapters, the contributors.
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