As climate-related hazards such as heatwaves, floods, and seismic events grow in intensity and frequency, the demand for sustainable and adaptive infrastructure in urban environments has become increasingly urgent. Recent technological advancements have introduced new opportunities to enhance infrastructure resilience through the convergence of Artificial Intelligence (AI) and smart materials. This study aims to systematically examine the combined role of AI technologies and smart material innovations in developing climate-resilient urban infrastructure. Employing a meta-analytic methodology grounded in the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, the study critically reviewed 86 peer-reviewed articles published between 2005 and 2024. These articles were sourced from major scientific databases and selected based on relevance, methodological rigor, and availability of quantifiable outcomes related to environmental performance, adaptive capacity, energy efficiency, and operational cost-effectiveness. The research utilized statistical synthesis techniques, including standardized mean difference (Cohen’s d), random-effects modeling, subgrou
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