Anthropic expands Claude usage index with global and US state data
Anthropic has published an update to its Economic Index, tracking how Claude is used across countries and US states. The report shows strong links between income and AI adoption, with automation use now exceeding augmentation overall. Business users on the API differ from consumer users in how they apply the model, underscoring divergent workflows across geographies and sectors.

Anthropic’s new report extends its Claude Economic Index to geographic data, mapping adoption by country and state. The United States records the highest overall usage, followed by India, Brazil, Japan and South Korea. Adjusted for working-age population, Israel, Singapore, Australia, New Zealand and South Korea rank at the top of the Anthropic AI Usage Index.
The analysis finds a close relationship between income and AI use. A 1 percent rise in GDP per capita is associated with a 0.7 percent increase in the adoption index globally. Within the United States, higher state-level GDP per capita predicts higher Claude usage, with the District of Columbia recording the strongest index. State-specific usage patterns also reflect local economies, with California skewed toward coding tasks, New York toward finance, and Hawaii toward tourism.
The distribution of task categories is shifting. Computer and mathematical work remains dominant but has declined slightly in share. Education and science tasks are rising steadily, while business, management and financial tasks have decreased.
The study also shows a shift toward automation. Directive conversations, requiring minimal user input, now account for a larger share of Claude usage. Automation has overtaken augmentation overall, with more than 49 percent of interactions automated. However, higher usage regions are more likely to rely on augmented workflows, while automation dominates in lower adoption areas.
Differences between consumer and business users are also pronounced. API users, typically businesses, lean heavily on automation, especially for coding and administrative tasks. Consumer users on Claude.ai show more collaborative patterns, with stronger emphasis on learning and iterative problem-solving.
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