This site is a work in progress and has not been widely shared. Content may contain errors. Feedback is welcome.
This site is undergoing review. Some annotations were human-generated, some AI-generated — all are being verified.
Back to datasets

Webb (2019)

The Impact of Artificial Intelligence on the Labor Market

AI-focusedPublicWorker-side
Visit Dataset
Specific Type
AI exposure measure
Dataset Type
Cross-sectional
Institution
Stanford University
Institution Type
Academia
Level of Focus
Task; aggregated to occupation
Most Granular Level
Task level (aggregated to occupation)
Perspective
Worker-side
Time Coverage
2010-2018
Frequency
One-time static snapshot
Sample Size
800+ occupations; 24000+ AI patents
Geographic Detail
National (US)
Occupational Classification
O*NET-SOC
Industrial Classification
Not specified
Other Classification
Text-based task descriptions; Patent classifications
Key Variables
Patent-task text similarity scores; noun-verb pair overlap; automation exposure indices
AI/Tech Tracking
AI patent classifications and capabilities
Access Details
Available via SSRN and author website
Notes
Text-based analysis using NLP; validated against historical automation (software; robots); purely objective methodology

Key Papers

How Are Patented AI, Software and Robot Technologies Related to Wage Changes in the United States?

Fossen, Samaan, Sorgner (2022)

Fossen et al. (2022); Webb (2019) SSRN Working Paper