How exposed is each occupation to A.I.-driven task automation? Lower composite scores mean more protected from displacement.
The index measures each occupation's net exposure to AI displacement by balancing digital work intensity against two protective factors. Each occupation is scored directly from O*NET 31.0 survey data and paired with BLS national employment estimates. This is the foundation layer: the academic program index aggregates these occupation scores to the program level via the NCES crosswalk.
How computer- and data-intensive is the core work?
Does the job require empathy, direct care, or constant interpersonal contact?
Is the work grounded in physical presence, manual skill, or safety responsibility?
Each dimension is computed from O*NET 31.0 survey data, normalized to a 0-1 scale; a score of 0 means fully protected and 1 fully exposed.
In August 2026, BLS published its own AI Exposure Categories for 831 occupations. Across the 761 occupations both measures score, the rank correlation with this index is 0.76. The BLS comparison analysis documents where the two measures agree and where they diverge.
Search by occupation name or SOC code. Sort by any dimension. 696 occupations with BLS employment estimates.
The full index is available as a CSV file for research and institutional use.