Bridging the Low Wages - Housing Gap with AI

Across Europe, housing costs have decoupled from stagnant labor income, leaving many—especially early-career professionals and market newcomers—severely overburdened.
To address this, the House-AI project proposes an AI-driven predictive platform that integrates real-time market scraping (e.g., Airbnb and rental sites) with wage and demographic data to identify housing stress areas before they peak. By automating localized policy interventions, such as wage-pegged rent limits and targeted subsidies, the initiative aims to increase labor mobility and ensure housing remains a fundamental human right rather than a commodity by 2030