From Cloud to Coast: The Physical Cost of AI in Hong Kong’s Borderlands

San Tin Tidal Ponds, Hong Kong SAR, with Shenzhen in the background. Image © Jonathan Yeung

Amid the rapid build-out of data centres and AI economies across the Greater Bay Area—and alongside the celebration of AI as a tool and "author," as featured in 2025 Hong Kong–Shenzhen Bi-City Biennale of Urbanism\Architecture (Hong Kong)—a parallel question becomes unavoidable: how do the planning and construction of AI infrastructure actually begin to shape everyday life? Many of the facilities already built remain intentionally distant from daily experience. The "cloud" may be marketed as immaterial, but its architecture is profoundly physical: high-power, high-heat, service-heavy environments that are often sited in remote or low-density areas to take advantage of lower land costs and to minimize friction with nearby communities. Security and risk management further reinforce this logic. Data centres hold sensitive, privileged information—corporate assets, legal records, government and institutional data—and remoteness becomes part of their operating model, keeping the infrastructures of AI both spatially and socially out of sight.

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