---
title: "Introducing the Anthropic Economic Index"
description: "Anthropic introduced the Anthropic Economic Index to track how AI is used in work and to study its effects on labor markets over time. Its first report analyzes approximately one million anonymized Free and Pro Claude.ai conversations, using Clio to match them with occupational tasks from the U.S. Department of Labor’s O*NET database. Usage concentrated in computer and mathematical work, which represented 37.2% of queries, while 36% of occupations showed AI use in at least a quarter of associated tasks and about 4% reached three-quarters. The report found 57% augmentation versus 43% automation, lower use in both low- and very-high-wage occupations, and plans for open data and repeated analyses, while noting possible classification errors and coding overrepresentation."
---

# Introducing the Anthropic Economic Index

[Anthropic](https://yomu.fyi/company/anthropic) · Aug 25, 2026

**Type:** Announcement

## Summary

Anthropic introduced the Anthropic Economic Index to track how AI is used in work and to study its effects on labor markets over time. Its first report analyzes approximately one million anonymized Free and Pro Claude.ai conversations, using Clio to match them with occupational tasks from the U.S. Department of Labor’s O\*NET database. Usage concentrated in computer and mathematical work, which represented 37.2% of queries, while 36% of occupations showed AI use in at least a quarter of associated tasks and about 4% reached three-quarters. The report found 57% augmentation versus 43% automation, lower use in both low- and very-high-wage occupations, and plans for open data and repeated analyses, while noting possible classification errors and coding overrepresentation.

## Context

AI systems are expected to affect how people work, labor markets, employment, and productivity. The Index was created to provide direct evidence of current AI use rather than relying on surveys or forecasts, while informing future research and policy discussions.

## Approach / What changed

The analysis used Clio to examine approximately one million anonymized Free and Pro Claude.ai conversations, match them to occupational tasks in the U.S. Department of Labor’s O\*NET database, and aggregate those tasks into occupations and broader categories. The dataset is being openly shared, with repeat analyses and future releases planned.

## Takeaways

- Clio matched approximately one million Claude.ai conversations to O\*NET occupational tasks, then grouped those tasks into occupations and broader categories while preserving conversation privacy.
- Computer and mathematical work accounted for 37.2% of queries, while farming, fishing, and forestry accounted for 0.1%; software modification, code debugging, and network troubleshooting were among the computer-related tasks represented.
- The analysis found 57% of tasks involved augmentation and 43% automation, with AI use concentrated in mid-to-high-wage occupations and lower for both the lowest- and highest-paid roles.

**Tags:** [AI](https://yomu.fyi/topic/ai), [Data Science](https://yomu.fyi/topic/data-science), [Open Source](https://yomu.fyi/topic/open-source)

- Source: [Anthropic](https://www.anthropic.com/news/the-anthropic-economic-index)
- Source URL: https://www.anthropic.com/news/the-anthropic-economic-index
- Ingested by Yomu: 2026-09-09T11:36:36.224Z

[Read original post](https://www.anthropic.com/news/the-anthropic-economic-index)