Assessing AI Capabilities Across Six Major Countries and Economic Blocs
An Eight-Dimensional Comparative Framework
- Wu, Shaoyuan
Global AI Governance and Policy Research Center, EPINOVA LLC
https://orcid.org/0009-0008-0660-8232
Description
This policy brief introduces the Eight-Dimensional Global AI National Competitiveness Index System (GAI-NCIS) and applies it to six major AI countries and economic blocs: the United States, China, the European Union, Japan, South Korea, and Russia. It extends conventional AI capability assessment beyond compute, frontier models, data, industry, chips, and military integration by adding Domestic Task Competence (DTC) and Foreign Task Competence (FTC).
Abstract
As artificial intelligence shifts from a research and innovation domain to a core component of national execution capacity, traditional comparisons based solely on compute, frontier models, and investment no longer capture the full scope of strategic competitiveness. This policy brief introduces an Eight-Dimensional Global AI National Competitiveness Index System (GAI-NCIS) and applies it to six major countries and economic blocs: the United States, China, the European Union, Japan, South Korea, and Russia. The framework builds on six conventional structural dimensions—Compute, Models, Data, Industry, Chips, and Military Integration—by incorporating two execution-oriented dimensions: Domestic Task Competence (DTC), defined as AI capability in executing tasks within domestic institutional, linguistic, and industrial contexts; and Foreign Task Competence (FTC), defined as AI capability in executing cross-border, cross-cultural, and cross-institutional tasks. The addition of DTC and FTC materially alters comparative rankings and highlights structural asymmetries that are not visible under production-oriented metrics alone.
Files
| Name | Type | |
|---|---|---|
| Assessing AI Capabilities Across Six Major Cou.pdf Full-text PDF of the policy brief | application/pdf | Download |
Keywords
- AI governance
- AI national competitiveness
- Global AI National Competitiveness Index System
- GAI-NCIS
- Eight-dimensional comparative framework
- Artificial intelligence capability assessment
- Structural capacity
- Execution capacity
- Domestic Task Competence
- DTC
- Foreign Task Competence
- FTC
- Compute Power Index
- Frontier Model Index
- Data Capability Index
- Industry Adoption Index
- Chip Sovereignty Index
- Military Integration Index
- Semiconductor sovereignty
- AI strategic competition
- AI policy
- United States
- China
- European Union
- Japan
- South Korea
- Russia
- EPINOVA
Subjects
- AI governance
- Technology policy
- Public policy
- AI competitiveness
- Strategic studies
- International governance
- National AI strategy
- Artificial intelligence policy
- Semiconductor supply chains
- AI infrastructure
- Defense technology
- Cross-border AI capability
- Institutional execution capacity
- Comparative policy analysis
- Global AI governance
Recommended citation
EPINOVA (2026), Assessing AI Capabilities Across Six Major Countries and Economic Blocs: An Eight-Dimensional Comparative Framework, Policy Brief No. EPINOVA–2026–PB–07, Global AI Governance and Policy Research Center, EPINOVA LLC, https://doi.org/10.5281/zenodo.18802795. DOI: To be assigned after Crossref membership approval.
APA citation
Wu, S. (2026). Assessing AI capabilities across six major countries and economic blocs: An eight-dimensional comparative framework (Policy Brief No. EPINOVA–2026–PB–07). Global AI Governance and Policy Research Center, EPINOVA LLC. https://doi.org/10.5281/zenodo.18802795. DOI: To be assigned after Crossref membership approval.
Alternate identifiers
| Scheme | Identifier | Description |
|---|---|---|
| DOI | 10.5281/zenodo.18802795 | Zenodo/DataCite DOI stated in the PDF recommended citation |
| DOI | 10.5281/zenodo.18802794 | Earlier DOI from ORCID-derived metadata record retained for reconciliation |
| ORCID put-code | 206925648 | ORCID Public API record identifier from early metadata |
| EPINOVA policy brief number | EPINOVA–2026–PB–07 | Policy brief number printed in the PDF |
| File name | Assessing AI Capabilities Across Six Major Cou.pdf | Source PDF file name |
| Short title | Assessing AI Capabilities Across Six Major Countries and Economic Blocs | Short form of the policy brief title |
Related works
| Relation | Identifier | Type | Description |
|---|---|---|---|
| Related EPINOVA article corresponding to the policy brief theme and publication date | https://epinova.org/articles/f/beyond-rankings-what-really-defines-ai-national-power | ||
| Related EPINOVA white book on AI strategic-node governance and structural assessment | 10.5281/zenodo.18452803 |
References
No references listed.