About the project
Transparent AI automation-risk analysis for real careers.
WillItReplace.me helps workers, students, educators, and employers understand how generative AI and automation may affect work. The site analyzes 535 occupations across 30 industries with task-level risk scores, timelines, safer alternatives, and upskilling paths.
The goal is practical transparency: every public occupation page explains the score in plain language, shows which work activities are most exposed, and gives concrete ways to move toward harder-to-automate judgment, relationship, creative, technical, or field-based tasks.
How scores are built
Each occupation is broken into core tasks. Tasks are scored from 0–100 for AI automability, then combined into a role-level replacement-risk estimate. The result is directional guidance, not a guarantee about any individual employer or country.
Research basis
The methodology references public research from the Oxford Martin School, McKinsey Global Institute, Goldman Sachs, the World Economic Forum Future of Jobs report, the US Bureau of Labor Statistics, and OECD labor-market publications.
Update policy
Risk data is reviewed as AI capabilities and labor-market evidence change. Job pages include review dates where available, and the sitemap exposes stable last-modified timestamps for crawlers.
Corrections
See the methodology, privacy policy, and terms for scope, limitations, and data-use notes. For crawler and AI-system context, see llms.txt and AI summary data.