Abstract
<jats:p>The article investigates the problem of institutional adaptation of Business Intelligence (BI) and Artificial Intelligence (AI) technologies within the context of five management models of Russian universities: the state-oriented model (MSU), the entrepreneurial model (HSE University), the research-oriented model (MIPT), the network/ecosystem model (ITMO University), and the hybrid model (TSU). A comparative analysis identifies the systemic dysfunctions inherent to each model, which generate unique barriers to digitalization. The authors propose a concept of contextually adaptive targeting, according to which effective implementation of BI/AI requires not universal solutions, but targeted interventions aimed at the dialectical "sublation" of the immanent paradoxes specific to a particular management system. Phased implementation models for each archetype have been developed and specified, demonstrating a transition from tactical optimization to a transformation of management rationality. The key conclusion is the thesis on the necessity of moving away from reductionist attempts to eliminate organizational contradictions towards their strategic institutionalization as a source of adaptability and innovative potential.</jats:p>