Smart cities rely on enormous networks of IoT sensors, cameras, traffic systems, smart grids, autonomous vehicles, and AI-driven services.
These systems generate vast amounts of data that require near-instant processing.
Processing information locally at the edge rather than sending it to distant facilities enables low-latency responses. While this can be used for public safety and energy management, it could also facilitate real-time surveillance of people’s movements, transactions, and communications.
She says the triangulation pattern creates a distributed mesh network. Multiple edge data centers surrounding a city provide redundancy, geographic coverage, fault tolerance, and minimal network delays.
Smart cities generate enormous volumes of data and that centralized hyperscale facilities alone may not be sufficient, which could explain the clusters surrounding smart city locations.
Maria says she has good reason to believe that hyperscale data centers are being deliberately placed in rural areas such as the Texas Panhandle, Odessa, and Wichita Falls to draw on aquifers, power grids, and land resources.
She believes the result is a transfer of resources away from rural populations and toward AI systems and urban technology infrastructure.
Rural communities are left with higher bills, noise, and depleted water resources, while cities receive the benefits of smart infrastructure.
Maria further argues that data center triangulation around smart cities serves not only low-latency computing needs but also creates the framework for extensive digital monitoring and control.
In Maria’s view, distant hyperscale facilities handle large-scale AI training and monitoring, while edge nodes positioned around cities could eventually support real-time citizen tracking, social credit scoring, and behavior modification.
Smart city infrastructure is designed to lock residents into tightly managed urban environments featuring digital IDs, programmable digital currencies, monitoring systems, and resource rationing.
Rural areas, she argues, are being weakened in ways that make those controlled environments increasingly attractive or necessary.
Maria also contends that hyperscale data centers are part of a broader centralized AI infrastructure serving global elites and transhumanist goals. She argues that rural power and water resources are being siphoned away to “train the beast,” while smart city systems eventually become the enforcement mechanism.
Flooding rural areas with data centers increases costs, harms agriculture and tourism, and contributes to what she describes as engineered rural depopulation. This simultaneously clears land for future projects and weakens resistance from rural populations.
Placing facilities over stressed aquifers weaponizes water scarcity by increasing dependence on centralized smart grid and smart water systems.
Ultimately, Maria believes the long-term objective is to make everything outside smart cities increasingly difficult to inhabit.