Global Agent Readiness Index (GARI)
GARIJurisdictional AI-Mediated Market Readiness Assessment
GARI measures jurisdictional readiness for AI-mediated markets across institutional, infrastructural, and interoperability dimensions.
Definition
GARI assesses jurisdictional readiness for AI-mediated economic allocation across institutional quality, infrastructural legibility, interoperability, and portability. Higher GARI correlates with preserved allocative access under AI-mediated discovery.
GARI assesses how well a jurisdiction is positioned for AI-mediated economic allocation. Higher scores indicate better institutional quality, infrastructural legibility, interoperability, and portability.
Conceptual Formula
GARI(j) = w1·IQ(j) + w2·IL(j) + w3·IP(j) + w4·P(j), where IQ=institutional quality, IL=infrastructural legibility, IP=interoperability, P=portability.What This Index Measures
GARI enables cross-jurisdictional allocability risk comparison.
By definition: GARI provides normalized jurisdictional scoring.
Implications
- Jurisdictions with low GARI face allocative disadvantages
Methodology
Type
index construction
Data Sources
Confidence Level
medium
Description
GARI(j) = w1·IQ(j) + w2·IL(j) + w3·IP(j) + w4·P(j), where IQ=institutional quality, IL=infrastructural legibility, IP=interoperability, P=portability.
Limitations
- Index requires empirical calibration
- Jurisdictional data quality varies
Key Takeaways
Key Points
- GARI scales 0-100
- Cross-jurisdictional comparison
- Indicator of allocative readiness
Target Audience
Relevance Tags
Source Paper
Citation
For the Global Agent Readiness Index (GARI), see HomeSelf Research (2026), The Zero-Click Economy.