Dataset surface
Use the console to inspect a directional score, stage, and dimension profile for each occupation.
Flagship model
AI Career Displacement Potential (ACDP) v2.0
ACDP scores occupational displacement progress across technical penetration, adoption, employment impact, wage signal, and transition difficulty.
Search console
Inspect displacement progress by occupation.
Type to search 894 occupations
Method boundary
The model is designed to be revised.
ACDP does not predict destiny. It records displacement progress and should change when new evidence changes the observed state of adoption, wages, hiring, or task structure.
Technical penetration
Measures how directly current AI systems can perform core cognitive tasks inside an occupation.
Adoption intensity
Tracks whether employers are introducing those systems into workflows, budgets, and processes.
Employment impact
Watches hiring, staffing, and role-design signals instead of relying on abstract exposure.
Wage signal
Records whether market pricing is moving for the occupation or adjacent skill bundle.
Transition difficulty
Estimates how hard it is for affected workers to move into nearby resilient roles.
Next revision
Next revision: Q3 2026.
The next update should revisit occupations where adoption, wage pressure, or staffing evidence has moved since the lite export.
Scores change only when evidence changes the observed state of task automation, institutional adoption, labor demand, wage signal, or transition difficulty.