Anthropic Economic Index report: Uneven geographic and enterprise AI adoption

TL;DR

This report analyzes global and enterprise usage patterns of Claude AI, revealing increasing autonomy, geographic disparities, economic influences, and specialized automation use, supported by open data for further research.

Contribution

It provides a comprehensive analysis of Claude AI adoption patterns across regions and enterprises, with new insights into usage behaviors and open-sourced data for future studies.

Findings

Increased autonomous task delegation over time

Geographic concentration in high-income countries

Economic factors influence usage patterns

Abstract

In this report, we document patterns of Claude usage over time, in 150+ countries, across US states, and among businesses deploying Claude through the API. Based on a privacy-preserving analysis of 1 million conversations on Claude.ai and 1 million API transcripts, we have four key findings: (1) Users increasingly entrust Claude with more autonomy, with directive task delegation rising from 27% to 39% in the past eight months. (2) Claude usage is geographically concentrated with high income countries overrepresented in global usage relative to their working age population. (3) Local economic considerations shape patterns of use both in terms of topic and in mode of collaboration with Claude. (4) API customers use Claude to automate tasks with greater specialization among use cases most amenable to programmatic access. To enable researchers and policymakers to further study the impact of AI on the economy, we additionally open-source the underlying data for this report.