AI around the world, seen by our five labs

Method and sources

Each country is placed by its latest known figure, from 2018 at the earliest. Its colour shows its class: countries are sorted into five groups of equal size, from lightest to darkest.

Rank and percentile follow the direction of each indicator: for youth not in employment, education or training, a lower figure means a better rank. Three common measures are left out on purpose, because they would rank countries misleadingly: youth unemployment, low where informal work dominates; the renewable share of energy, driven by traditional biomass (wood, charcoal) in the poorest countries; and high-technology exports, dominated by very small economies.

A lab score is the average of the percentiles of its indicators, computed when the country has at least half of them. It places the country among the others; it is not an absolute performance.

AI use is measured by the Anthropic Economic Index, from conversations with Claude: it is one assistant among others, and the index only covers countries with a large enough sample.

The comments are written from the figures on this page alone, with fixed thresholds. Borders follow Natural Earth and do not reflect any position of YouthShare; the smallest territories do not appear on the map but remain in the search.

• IMF, AI Preparedness Index (April 2024, 2023 data) · Reuse with attribution
• Anthropic Economic Index (Claude usage, June 2026 release) · MIT licence
• World Bank, Worldwide Governance Indicators · CC BY 4.0
• World Bank, World Development Indicators (ITU, ILO, UNESCO and UN data) · CC BY 4.0

Data retrieved on 4 November 2026.