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SBCM Note #6: The Thermodynamic Limit of AI-Driven Growth (v2.0) — Digital Sprawl and the Conservation of Management Cost — | Synapse
March 3, 2026
Open Access
SBCM Note #6: The Thermodynamic Limit of AI-Driven Growth (v2.0) — Digital Sprawl and the Conservation of Management Cost —
HK
Hokuto Koyama
Key Points
AI presents a thermodynamic limit in driving growth effectively, which may challenge traditional management paradigms.
The analysis indicates that managing costs within digitally sprawling systems requires reevaluation of current strategies.
Key metrics around growth efficiency highlight the pressing need for sustainable practices in digital management.
These findings underscore the importance of understanding thermodynamics in optimizing AI applications to minimize costs.
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Hokuto Koyama (Thu,) studied this question.
synapsesocial.com/papers/69a75b55c6e9836116a227d2
https://doi.org/https://doi.org/10.2139/ssrn.6032294