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Founded in 2015 in Ahmedabad by Anand Sonecha, SEAlab is a practice shaped by a slow, contemplative engagement with place, proportion, and participation. Recognized as one of the winners of the ArchDaily 2025 Next Practices Awards, the studio builds with simple materials and local techniques, pursuing environments that are experienced as much as they are seen. This ethos became particularly tangible in Gandhinagar, where the School for Blind and Visually Impaired Children did not begin as a purpose-built institution. The school had been operating from an existing primary school building, with classrooms stacked above dormitories and twelve children sharing a single room. Space was limited, and so were growth opportunities. The new academic building was required to expand capacity, improve living conditions, and support greater student independence.

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As artificial intelligence continues to disrupt sectors of the economy and reshape entire industries, institutions and individuals alike are bracing—and rapidly adapting—to the changes that machines seem to hold over our heads. Yet the more precise pressure is not simply AI altering the way people work and live, but the business models and investment logics of the companies developing these systems: the concentration of capital, the new requirements for compute, the race for compartmentalized talent, and the infrastructural footprint needed to sustain it. In the Greater Bay Area—anchored by Guangzhou, Shenzhen, and Hong Kong—this dynamic is especially pronounced. Government-led initiatives are actively accelerating the industry's growth, with policy and planning mechanisms beginning to translate an ostensibly intangible field into physical form: zoning updates, earmarked land, and the emergence of AI-oriented building types, from research laboratories to large-scale data centers.

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