Keywords
economic geography
reindustrialization
spatial-economic inversion
cognitive manufacturing
agglomeration
American interior
How to Cite
Abstract
The widespread notion of “heartland revenge” constitutes a significant misinterpretation. The American Interior is not nostalgically resurrecting antiquated factories but is instead evolving into a new, AI-driven industrial entity. This study asserts that Artificial Intelligence (AI) —via generative design, autonomous logistics, and predictive analytics—is methodically undermining agglomeration economies that have traditionally focused on advanced manufacturing in coastal and global megaregions. A novel spatial calculus has emerged, emphasizing the cost structures of interiors, land availability, and energy infrastructure. An empirical investigation of capital investment (2018-2024) in electric-vehicle battery factories, semiconductor fabrication facilities, and additive manufacturing sites identifies four bled mechanisms that facilitate a significant spatial-economic inversion. This transition is evidenced by the significant relocation of high-value production to the Midwest, South, and Great Plains. The primary contribution of this study is the formulation of “Cognitive Economic Geography,” a fundamental framework that delineates how AI reconfigures comparative advantage, reduces efficient scale, and facilitates a polycentric, resilient production topology. This thorough analysis transcends basic political clichés, providing practical insights for politicians and corporate strategists as they navigate the significant transformations in capital, labor, and innovation.
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