The text is an overview of the Anthropic Economic Index report, which studies the adoption of AI, specifically focusing on the usage patterns of Claude.ai and its enterprise API across different geographies and economic tasks. The report highlights the unprecedented speed of AI adoption compared to prior technologies, noting that early adoption is unevenly concentrated in certain tasks and high-income regions, which correlates strongly with Gross Domestic Product per capita. Analysis of Claude.ai usage shows a trend toward automation and an increase in educational and scientific tasks over time, while enterprise API usage is heavily concentrated on coding and administrative tasks and is dominantly automated. The data also suggests that the cost of using the API is less significant than the economic value generated and that deploying AI for complex tasks is often constrained by the need for comprehensive contextual information. The authors open-source their data to encourage further research into the economic and labor market implications of this uneven adoption.