<![CDATA[Artificial intelligence (AI) is increasingly framed as an instrument for strengthening the capacity of societies to anticipate, absorb, and recover from economic, environmental, and institutional shocks, yet its contribution to social resilience in emerging economies remains conceptually fragmented across disconnected disciplinary literatures. This article synthesizes recent scholarship on AI-enabled resilience across institutional, economic, community, and health-related domains to develop an integrated, multidimensional account of social resilience in emerging-economy contexts. Rather than applying a systematic literature review protocol, the study adopts a qualitative comparative-thematic design that purposively compiles and deductively-inductively codes recent empirical and conceptual studies drawn from Asian, African, Latin American, and transitional economies. The analysis identifies four interlocking dimensions through which AI shapes social resilience: institutional and governance adaptability, economic and livelihood continuity, community and digital-social cohesion, and human-capital and health-system robustness. Findings show that AI's resilience-enhancing potential is consistently conditioned by infrastructural readiness, regulatory capacity, and equitable access, such that unmanaged adoption risks reproducing or amplifying existing social vulnerabilities. The novelty of this article lies in reframing social resilience not as a residual by-product of technological adoption but as an actively governed, multi-level construct requiring deliberate sequencing of capacity-building, ethical oversight, and inclusive design. Implications for policymakers, development institutions, and future comparative research in emerging economies are discussed.]]>
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