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