The macro backdrop to AI adoption — World Bank indicators.
Source: World Bank WDI (latest available year per indicator).
The capital-and-capability base for AI — R&D, research workforce, patents, high-tech trade.
Source: World Bank WDI. AI-specific private investment (Stanford HAI) is US/China-concentrated; these give universal coverage.
Use-case split and collaboration style, versus the global average.
Work · Personal · Coursework — vs. global
How people work with AI — vs. global
IMF AI Preparedness sub-indices, and where the country sits on readiness vs. adoption.
IMF AIPI sub-indices (0–1)
This country vs. all others
Domestic data-center footprint and the compute-dependency signal.
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Facilities from OpenStreetMap; capacity from GAIA's curated layer. Full compute report on the Data Centers page.
Auto-generated from the data for this country.
This briefing is the free view. The full report adds the decision-grade layer:
Sources & method. Adoption & collaboration: GAIA country data (Anthropic Economic Index, Feb 2026). Readiness: IMF AI Preparedness Index. Compute: OpenStreetMap coverage + GAIA curated capacity layer. "Three things to know" are generated from thresholds on the underlying data. Figures are indicative measures for briefing purposes; the full report carries full provenance, uncertainty, and sector detail.