When Artificial Intelligence Mediates Strategic Information
A conceptual framework for strategic alignment
DOI:
https://doi.org/10.22478/ufpb.1809-4783.2026v36.81239Keywords:
Artificial intelligence, Strategic alignment, Information, Sensemaking, Algorithmic monocultureAbstract
Research on artificial intelligence in organizations usually treats the technology as a decision maker, a risk or a competence, but rarely examines how it mediates the information that articulates strategy. This article aims to propose a conceptual model that explains how the informational mediation performed by artificial intelligence affects strategic alignment at the organizational level. It is a theoretical-conceptual study that combines theory adaptation and typology building, supported by an exploratory literature survey, classic works of organization theory and Information Science, and targeted searches of adjacent literatures. Strategic alignment theory is revisited through the view of organizations as information-processing and interpretation systems, using as a heuristic framework a model that articulates purpose, processes and people through information. As a result, the article argues that artificial intelligence, by producing, selecting and synthesizing information, takes part in producing alignment itself, and, drawing on research on algorithmic monoculture and homogenization, it proposes a typology of four states: amplified convergence, apparent convergence, fragmentation and interpretive plurality. Six falsifiable propositions and a research agenda are also presented. It concludes that the effect of artificial intelligence on alignment depends less on the technology adopted than on how the organization governs the informational mediation it performs.
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