Idle Power Framework: A Heuristic Model for Assessing Technology Effectiveness in Sovereign AI Ecosystems
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.
Authors
- Monika Ostrowska
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-05
- DOI
- https://doi.org/10.5281/zenodo.18500058
- Primary Topic
- University-Industry-Government Innovation Models
- Type
- article
- Field-Weighted Citation Impact
- 0.00