Access displacement risk scores for 5,136 jobs across 13 industries. Our data is free to use under CC BY 4.0.
Get the full dataset in your preferred format. No authentication required.
If you use our data in your work, please cite displacement.ai. Here are common citation formats.
displacement.ai. (2026). AI Job Displacement Risk Index [5,136 occupations analyzed, avg. risk 61%]. Retrieved from https://displacement.ai/displacement-index
@misc{displacementai2026,
title = {AI Job Displacement Risk Index},
author = {displacement.ai},
year = {2026},
url = {https://displacement.ai},
note = {5,136 jobs, CC BY 4.0}
}According to displacement.ai (2026), [Job Title] faces a [X]% automation risk score, based on analysis of 5,136 occupations.
Generate formatted citations programmatically:
GET /api/v1/cite?job={slug}Returns APA, BibTeX, and inline citation formats for any job.
Every risk score is calculated using a deterministic, 4-dimension scoring model grounded in labor economics research. The model weights are:
O*NET-based task decomposition and automation potential
Current state-of-the-art AI performance on each task
Social intelligence, creativity, and fine manipulation
Regulatory, ethical, and adoption barriers to automation
Scores are reproducible and deterministic -- the same job always receives the same score given the same input data. Our methodology is informed by 68+ peer-reviewed reports from institutions including the IMF, OECD, World Economic Forum, and ILO.
Read the full methodologyAll displacement.ai data is licensed under Creative Commons Attribution 4.0 International. You are free to share, adapt, and build upon our data for any purpose, including commercial use, as long as you provide attribution to displacement.ai.
Explore more tools and documentation for your research.