What question did this study set out to answer?

The aim is to understand how AI-native economies create value through structured systems that manage uncertainty.

May 8, 2026Open Access

The AI-Native Economy: Negative-Entropy Infrastructure, Infinite Specialization, and the New Geography of Work

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Explores AI-native economies and how structured governance enhances value creation in specialized fields.

The aim is to understand how AI-native economies create value through structured systems that manage uncertainty.
Analyzed the role of negative-entropy infrastructure in various domains such as autonomous vehicles and healthcare.
Used California’s 2026 autonomous vehicle framework as a primary case study.
Developed key concepts like infinite specialization and layered geography of work.
Found that trust and accountability increase when AI systems operate within well-defined governance structures.
Revealed that increasing specialization occurs as AI reduces the cost of cognitive tasks, making expert roles economically viable.
Demonstrated that the geography of work shifts towards a multi-layered system where centralized cognition coexists with localized governance.

Xiangyu Guo (2026) studied this question.

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