---
license: mit
pretty_name: EconomicIndex
tags:
- text
viewer: false
---
## Overview
This directory contains O*NET task mapping and automation vs. augmentation data from "Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations." The data, provided analysis, and preliminary plots are described below.

**Please see our [blog post](https://www.anthropic.com/news/the-anthropic-economic-index) and [paper](https://assets.anthropic.com/m/2e23255f1e84ca97/original/Economic_Tasks_AI_Paper.pdf) for further visualizations and complete analysis.**

## Data

- `SOC_Structure.csv` - Standard Occupational Classification (SOC) system hierarchy from the U.S. Department of Labor O*NET database
- `automation_vs_augmentation.csv` - Data on automation vs augmentation patterns, with columns:
  - interaction_type: Type of human-AI interaction (directive, feedback loop, task iteration, learning, validation)
  - pct: Percentage of conversations showing this interaction pattern
  Data obtained using Clio (Tamkin et al. 2024)
- `bls_employment_may_2023.csv` - Employment statistics from U.S. Bureau of Labor Statistics, May 2023
- `onet_task_mappings.csv` - Mappings between tasks and O*NET categories, with columns:
  - task_name: Task description
  - pct: Percentage of conversations involving this task
  Data obtained using Clio (Tamkin et al. 2024)
- `onet_task_statements.csv` - Task descriptions and metadata from the U.S. Department of Labor O*NET database
- `wage_data.csv` - Occupational wage data scraped from O*NET website using open source tools from https://github.com/adamkq/onet-dataviz

## Analysis

The `plots.ipynb` notebook provides visualizations and analysis including:

### Task Analysis
- Top tasks by percentage of conversations
- Task distribution across occupational categories
- Comparison with BLS employment data

![Task Distribution](plots/task_distribution.png)

### Occupational Analysis  
- Top occupations by conversation percentage
- Occupational category distributions
- Occupational category distributions compared to BLS employment data

![Occupations Distribution](plots/occupations_distribution.png)
![Occupational Category Distribution](plots/occupational_category_distribution.png)
![Occupational Category Distribution (BLS)](plots/occupational_category_distribution_bls.png)

### Wage Analysis
- Occupational usage by wage

![Wage Distribution](plots/wage_distribution.png)

### Automation vs Augmentation Analysis
- Distribution across interaction modes

![Automation vs Augmentation](plots/automation_vs_augmentation.png)

## Usage
To generate the analysis:

1. Ensure all data files are present in this directory
2. Open `plots.ipynb` in Jupyter
3. Run all cells to generate visualizations
4. Plots will be saved to the notebook and can be exported

The notebook uses pandas for data manipulation and seaborn/matplotlib for visualization. Example outputs are contained in the `plots\` folder.

**Data released under CC-BY, code released under MIT License**

## Contact
You can submit inquires to kunal@anthropic.com or atamkin@anthropic.com. We invite researchers to provide input on potential future data releases using [this form](https://docs.google.com/forms/d/e/1FAIpQLSfDEdY-mT5lcXPaDSv-0Ci1rSXGlbIJierxkUbNB7_07-kddw/viewform?usp=dialog).