Systemic Fragility in Planetary AI Infrastructures: A Probabilistic Concentration Threshold Model
Authors/Creators
- 1. Dr. Yasin Kalafatoğlu Independent Researcher AI Infrastructure & Systemic Risk Studies Istanbul, Türkiye
Description
This paper introduces the Centralized Super-Platform Dominance Infrastructure (CSPDI™) framework, a probabilistic and multiplicative model for quantifying structural concentration risk in planetary-scale AI and critical infrastructure ecosystems.
The study integrates satellite coverage, AI inference power, data centralization, and infrastructure dependency into a unified dominance index designed to evaluate systemic fragility thresholds. Using Monte Carlo simulation, cascading failure modeling, and behavioral inference quantification, the paper demonstrates that systemic collapse probability remains statistically low under most conditions, but regional cascade risk increases significantly once structural concentration thresholds are exceeded.
The research contributes a novel anti-fragility optimization model based on redundancy, segmentation, diversification, and transparency parameters. By shifting governance focus from reactive regulation to structural topology measurement, the CSPDI™ framework provides a quantitative foundation for planetary infrastructure resilience in the age of large-scale AI convergence.
Keywords: systemic risk, AI infrastructure, platform concentration, satellite networks, cascading failures, probabilistic modeling, anti-fragility, digital sovereignty, infrastructure governance.
Other (English)
This manuscript represents Version 1.0 of the CSPDI™ (Centralized Super-Platform Dominance Infrastructure) framework. The study develops a multiplicative concentration index designed to quantify structural dominance in converging AI, satellite, data, and critical infrastructure ecosystems at planetary scale.
The model integrates probabilistic Monte Carlo simulation, cascading interdependency matrices, behavioral inference quantification (BIC), and an anti-fragility optimization denominator composed of redundancy, segmentation, diversification, and transparency coefficients.
All mathematical formulations are theoretical and structural in nature. The framework does not rely on proprietary datasets and is designed as an analytical topology model for systemic concentration assessment rather than operational deployment.
The research aims to stimulate interdisciplinary dialogue across complex systems science, AI governance, infrastructure resilience studies, and digital sovereignty research. Future empirical validation, dynamic network modeling, and endogenous shock estimation are proposed as next-stage research directions.
This preprint is submitted for academic discussion and peer-review consideration.
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Planetary AI Infrastructure Fragility.pdf
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Additional details
References
- Kalafatoğlu, Y. (2026). Systemic fragility in planetary AI infrastructures: A probabilistic concentration threshold model.