[Review] Why Should You Read 'AI Enabled City' Right Now?

Reports on AI-enabled cities are numerous, but AI city reports that policy makers and practitioners read to completion are rare. "AI Enabled City (Premium Report)" belongs to that rare category -- answering "how does an AI-based city actually operate?" and "under what conditions does it succeed?" with concrete global city cases. Case 1 -- Singapore: adopted AI not as administrative automation but as the basic language of city operations. 20+ AI-based public services commercialized; citizen participation rate 80%+. The book emphasizes not technology but governance structure -- Singapore answered: who controls city data; who bears responsibility for AI judgments; how is citizen trust secured. Case 2 -- Uber: through data sharing agreements with cities, providing aggregated mobility data for transportation planning -- transformation from adversarial relationship to partnership showing how AI company-city conflicts can be resolved through data governance frameworks. Case 3 -- Toronto Quayside: Sidewalk Labs smart city project faced insuperable opposition over data ownership and surveillance concerns -- technically sophisticated AI city plans fail when they do not adequately address citizen trust and democratic governance of data. Core thesis: AI city success is 20% technology and 80% governance, trust-building, and institutional design.