Idle Power Framework: A Heuristic Model for Assessing Technology Effectiveness in Sovereign AI Ecosystems

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Authors: Monika Ostrowska
Cited by: 0

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.

Fields of Study & Subjects

Technology Assessment and Management COVID-19 Geopolitics Technology Migration Artificial Intelligence Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
5 February 2026
Language
EN