Anthropic Economic Index: New building blocks for understanding AI use
Speedup and success rate vs. human years of schooling. The chart on the left shows a scatterplot of the relationship between speedup and human years of schooling, measured at the O*NET task level. The dashed lines show the line of best fit. The chart on the right shows the relationship with the success rate.
Task success vs. human-only time. This chart shows the relationship between task success (%) and the time the task would require a human to complete alone, all measured at the O*NET task level and split by platform. The dashed lines show the fit from a linear regression.
Per capita income predicts how Claude is used across countries. Each plot shows the relationship between the share of a specific kind of use (work, coursework, or personal) for Claude.ai conversations, and log GDP per capita.
Effective AI coverage vs. task coverage. The plot shows the relationship between task effective AI coverage (%) and task coverage, measured at the occupation level. Effective AI coverage tracks the share of a worker’s time-weighted duties that AI could successfully perform, based on Claude.ai data. Task coverage is the share of tasks that appear in Claude.ai usage. The dashed line shows where effective AI coverage share equals task coverage.
Education level of all tasks vs. Claude-covered tasks. The blue bars give the distribution of the predicted task-level education required for all tasks in the O*NET database, weighted by employment. The orange bars show the same, restricting to tasks that appear in Claude.ai data.
