Idle Power Framework: A Heuristic Model for Assessing Technology Effectiveness in Sovereign AI Ecosystems
Year: 2026
Type: article
Abstract: This document establishes the first public description of the Idle Power Framework, a qualitative heuristic for analyzing the structural effectiveness of AI systems within national technological ecosystems. The framework introduces five analytical dimensions—technological capability (M_f), operational intensity (F), capital accessibility (A), entry impedance (Z), and knowledge transfer (T)—designed to support strategic and policy-level analysis beyond purely technical metrics. This publication presents the conceptual structure of the framework only. Operational methodologies, calibration heuristics, and extended case studies are intentionally excluded.
Author: Ostrowska, Monika
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7128027536
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