How Humans Work with AI
Distribution of human-AI interaction patterns across millions of Claude conversations
47%
Augmentation
Task Iteration
25.5%
Human and AI work together iteratively, refining outputs through back-and-forth collaboration
Directive
22.6%
Human gives clear instructions; AI executes the task with minimal back-and-forth
Learning
18.9%
Human uses AI as a teacher or guide to understand concepts and build knowledge
Feedback Loop
12.0%
AI produces output that the human evaluates, with structured revision cycles
Validation
2.3%
Human uses AI to verify, check, or validate their own work or assumptions
AI Usage by Occupation
Share of AI conversations by major occupation group (SOC), ranked by AI engagement
AI, Wages & Automation Risk
How median salary relates to automation probability across occupations
Bubble size represents projected job openings. Click occupation families above to filter.
Top Tasks Performed with AI
Most frequent O*NET occupational tasks found in Claude conversations
Occupation Family Explorer
Deep dive into any occupation family -- see salary, automation risk, growth, and AI engagement
AI Conversation Share
5.4%
Avg Median Salary
$89K
Projected Openings
69,500
Avg Automation Risk
4%
Avg Education Level
Zone 4.3/5
Bright Outlook Jobs
0 of 4
Top Jobs in This Family
Global AI Usage Index
Relative AI usage intensity by country, normalized to the global average (1.0x)
Countries
45
Avg Index
1.22x
Highest
1.8x
United States
United States
1.8xSoftware Developers
North America
Israel
1.8xSoftware Developers
Middle East
Singapore
1.7xSoftware Developers
Asia
India
1.7xSoftware Developers
Asia
United Kingdom
1.6xManagement Analysts
Europe
Canada
1.6xSoftware Developers
North America
Switzerland
1.6xFinancial Analysts
Europe
Australia
1.5xSoftware Developers
Oceania
Sweden
1.5xSoftware Developers
Europe
Netherlands
1.5xData Scientists
Europe
Ireland
1.5xSoftware Developers
Europe
Germany
1.4xEngineers
Europe
United Arab Emirates
1.4xBusiness Analysts
Middle East
Denmark
1.4xSoftware Developers
Europe
Finland
1.4xSoftware Developers
Europe
France
1.4xBusiness Analysts
Europe
Taiwan
1.4xEngineers
Asia
New Zealand
1.4xManagement Analysts
Oceania
South Korea
1.3xSoftware Developers
Asia
Norway
1.3xEngineers
Europe
Belgium
1.3xBusiness Analysts
Europe
Austria
1.3xEngineers
Europe
China
1.3xEngineers
Asia
Poland
1.2xSoftware Developers
Europe
Japan
1.2xEngineers
Asia
Czech Republic
1.2xSoftware Developers
Europe
Spain
1.1xBusiness Analysts
Europe
Brazil
1.1xBusiness Analysts
South America
Portugal
1.1xSoftware Developers
Europe
Italy
1.1xEngineers
Europe
Saudi Arabia
1.0xEngineers
Middle East
Russia
1.0xSoftware Developers
Europe
Argentina
0.9xSoftware Developers
South America
Turkey
0.9xSoftware Developers
Middle East
Vietnam
0.9xSoftware Developers
Asia
Chile
0.9xBusiness Analysts
South America
Mexico
0.9xAdministrative Support
North America
Philippines
0.9xCustomer Service
Asia
Colombia
0.9xAdministrative Support
South America
Thailand
0.8xSoftware Developers
Asia
South Africa
0.8xBusiness Analysts
Africa
Indonesia
0.8xAdministrative Support
Asia
Egypt
0.7xEngineers
Africa
Nigeria
0.7xSoftware Developers
Africa
Kenya
0.6xSoftware Developers
Africa
Methodology & Sources
This dashboard visualizes data from the Anthropic Economic Index, which analyzes how AI is being used across the modern economy. The methodology uses Clio (Tamkin et al. 2024) to map millions of Claude conversations to O*NET occupational task statements, enabling measurement of AI engagement across occupation groups, task types, and interaction patterns.
Data Sources
- Anthropic Economic Index (2025)
- U.S. Bureau of Labor Statistics
- O*NET Occupational Database
- Standard Occupational Classification