Trending this week
The professions everyone is checking.
How it works
Three steps from job title to game plan.
We don't score jobs. We score the ~30 tasks inside each job — then aggregate, weight by time-spent, and project forward against current model capabilities.
01
Step 1
Search your profession
Pick from O*NET-anchored job titles, or describe what you do — we map free-text to the closest canonical role.
›Software Engineer▍
· Software Engineer63%
· SRE41%
· Eng Manager34%
02
Step 2
Analyze task exposure
Each task is graded against frontier-model capabilities and weighted by your real time allocation. The score adapts as models improve.
Write boilerplate92%
Code review64%
System design28%
03
Step 3
Adapt before everyone else
Get the durable skills to deepen, the adjacent careers to consider, and the 90-day moves that compound.
Resilient adjacent roles
Engineering Manager-29pp
AI/ML Engineer-12pp
Security Engineer-25pp
Grounded research
Built on the same datasets economists use.
We combine the U.S. Bureau of Labor Statistics task taxonomy, Anthropic's task-level capability research, OpenAI's GPT-exposure paper, and a continuously-updated capability matrix benchmarked against frontier models.
TASK TAXONOMY
O*NET 28.3
923 occupations · 19,260 tasks
U.S. DEPARTMENT OF LABOR
LABOR DATA
BLS OEWS 2025
154M workers · wage + employment
BUREAU OF LABOR STATISTICS
CAPABILITY MAPPING
Anthropic 2024
Task-level Claude performance
ARXIV:2403.XXXXX
EXPOSURE RESEARCH
OpenAI GPTs
Eloundou et al. 2023
ARXIV:2303.10130