Purpose of the Dashboard
To make the insights from the Anthropic Economic Index more accessible, I have created this dashboard using Looker Studio.
This interactive tool allows users to explore the data without the need to download Python files or possess advanced technical skills.
For example, in Azvai we collaborate with several Educational Generative AI projects like TutorAI.me, ai-tutor.ai, classX.org and aipdf.ai, and by analysing the data from the the Anthropic Economic Index we can learn:
- The main job roles using AI in Education
- The main tasks they are trying to solve using Generative AI per task category
With all this data we can recommend strategies to our clients on what popular features they should build to attract the right audiences, and what key features they should build to convert them into paying subscribers.
You can learn more about this research in the following report:
About the Anthropic Economic Index
Launched in February 2025, the Anthropic Economic Index aims to analyze and understand the impact of AI systems on labor markets and the broader economy.
The initial report offers unique insights based on millions of anonymized conversations with Claude, Anthropic’s AI assistant, highlighting how AI is being integrated into various real-world tasks.
Looker Studio Dashboard
Definitions:
pct: Percentage of conversations showing this interaction pattern
Occupations Hierarchy: Major Group > Minor Group > Broad Occupation > Job Title
Key Findings
- Concentration in Technical Fields: AI usage is predominantly observed in software development and technical writing tasks. Approximately 36% of occupations utilize AI for at least a quarter of their tasks, while about 4% employ AI in over 75% of their tasks.
- Augmentation Over Automation: The data indicates that AI is more commonly used to augment human capabilities (57%) rather than to automate tasks entirely (43%).
- Prevalence in Mid-to-High Wage Occupations: AI adoption is more significant in mid-to-high wage roles, such as computer programmers and data scientists, and less so in the lowest and highest-paid positions. This trend likely reflects both the current limitations of AI technologies and practical barriers to their implementation. anthropic.com
Data Structure and Sources
The insights presented in this dashboard are derived from approximately one million anonymized conversations with Claude.
These interactions were analyzed using Clio, Anthropic’s automated tool designed to examine AI usage while preserving user privacy.
Tasks were categorized based on the U.S. Department of Labor’s Occupational Information Network (O*NET), which classifies around 20,000 specific work-related tasks.
Enhancing Accessibility Through Looker Studio
By leveraging Looker Studio, this dashboard transforms complex datasets into an interactive and user-friendly format. Users can now engage with the data more intuitively, gaining valuable insights without the need for specialized software or programming knowledge.
For a more comprehensive understanding, you can access the full report and dataset through the links provided below: