Show Notes
The rapid expansion of artificial intelligence is remapping the physical property landscape, creating a paradox between digital growth and local real-world constraints.
While primary data center hubs face severe power grid delays and land scarcity, tech capital is surging into unexpected secondary markets, driving up local housing prices and straining municipal infrastructure. To resolve this friction, developers and city leaders must leverage high-granularity geospatial intelligence to locate prime development zones where data centers serve as long-term economic anchors rather than community burdens.
In this episode:
1:41 - How are capacity constraints in primary hubs forcing AI infrastructure into secondary housing markets?
4:36 - Evaluating the critical geospatial layers: grid capacity, parcel land use, and fresh aerial imagery.
7:44 - The Quincy, Washington case study: Aligning hydropower, cool climates, and cheap land for a win-win.
11:21 – Allie Barefoot breaks down the latest numbers in the housing market.
12:28 – How do different layers of geospatial data help developers, power providers, and city leaders?
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