This article analyses the challenges of ensuring access to adequate housing for internally displaced persons (IDPs) in Ukraine and evaluates the potential of artificial intelligence (AI) to improve housing allocation and the functioning of IDP registries. Large-scale internal displacement since 2014, intensified after the 2022 full-scale invasion, has exposed fragmentation in state registries, a lack of unified digital coordination, and limited institutional capacity to meet housing needs. Based on information requests submitted to central and regional authorities, the study identifies significant gaps in existing housing programmes, the absence of a centralised national resource, and inconsistencies in administrative practices. The article argues that integrating AI into the newly established Information and Analytical System of Real Estate Assets could enhance data accuracy, automate verification, detect fraud, support predictive analytics, and improve decision-making. AI-based tools may also simplify user interaction, accelerate application processing, and reduce bureaucratic delays. At the same time, the study highlights legal and ethical risks related to data protection, transparency, and algorithmic bias, emphasising the need to harmonise Ukrainian legislation with the EU AI Act and GDPR.