<![CDATA[The archival field can no longer be separated from artificial intelligence influences. However academic literature on this relationship remains scattered and rarely forms coherent understanding. This article synthesizes these fragmented studies through a narrative review approach. The Records Continuum Model provides the conceptual lens for analysis. The review examines twelve Indonesian language articles published between 2021 and 2026. Sources were identified through Google Scholar Garuda and university electronic journal repositories. Selected studies were filtered regularly using previously established inclusion and exclusion criteria. Findings show AI has permeated all four dimensions of the RCM. Creation involves automatic text recognition and increasingly automated metadata extraction processes. Capture increasingly relies on intelligent classification and indexing across archival workflows. Organization incorporates knowledge management practices alongside emerging cyber risk mitigation strategies. Pluralization expands archival access through increasingly intelligent and responsive information services. A consistent pattern emerges across all four dimensions: each efficiency gain AI offers brings a corresponding challenge, particularly around cybersecurity and organizational readiness. Existing research addresses the capture dimension most frequently, while pluralization and record authenticity verification remain comparatively underexplored. This article maps an initial foundation for technology-based archival policy and for strengthening higher education curricula in the archival field. Future research should consider a systematic literature review incorporating international literature to produce a more comprehensive picture.]]>
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