Claude Occupation
EvidenceBy Fatih Kansoy
fatih.ai ↗
An independent Economic Index research project

Where AI use
meets the world
of work.

What can observed Claude use tell us about occupational activity across countries? Explore the evidence—and the measurement choices that shape it.

The occupation lens · May 2026

United Kingdom

Top published activities · share of country conversations

Document Management Specialists5.71%
Librarians and Media Collections Specialists4.84%
Counter and Rental Clerks3.34%
Editors2.69%
Writers and Authors2.46%

O*NET occupation categories describe the activity in a conversation. They do not identify the user's job. How to read these values

250countries & areas in the registry
121with May occupation observations
2monthly occupation snapshots
3lenses: use, mapping, validation
From observation to interpretation

Regional insight begins
with better measurement.

The same global platform can look different through local occupational structures. This project makes those differences—and the assumptions behind them—open to inspection.

01

See the occupational pattern

Explore original published shares by country. Compare the same activity across places without mistaking missing observations for zero use.

Compare countries ↗
02

Inspect the translation

Follow the links from US O*NET categories to European occupations. See where semantic correspondence ends and allocation assumptions begin.

Explore the crosswalk ↗
03

Build on the evidence

Read the full study, inspect checks against external measures, and download documented data for your own research.

Open the data catalogue ↗
A constructive research agenda

A more informative
Economic Index.

Publication support, international classification, consistent observation windows and external validation are practical places to improve what researchers can learn.

Read the measurement agenda ↗