Agentic Artificial Intelligence (AI) is emerging as a transformative capability for global urban regeneration, enabling cities to move from static, reactive planning toward adaptive, data-driven governance. This white paper examines how multi-agent AI systems that combine autonomous decision-making, predictive analytics and workflow orchestration can address intertwined challenges of post‐industrial decline, housing shortages, climate risk and social inequality.