Browse Occupations

Title Category AI Exposure
0–1 composite, 3 studies
Displacement (est.)
heuristic-v1, in-house
Employment
count, 2024
Median Wage
USD, annual, BLS OES 2024
10-Yr Growth
% change, BLS 2024–34
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Displacement figures are in-house heuristic-v1 estimates — see the heuristic badge on any occupation's detail page.
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CSV Schema — Career Exposure Scores

The "Career Exposure Scores" CSV (downloadable from the methodology page) contains one row per occupation. The columns are:

ColumnTypeDescriptionExample
onet_codestringO*NET-SOC occupation code19-3011.00
soc_codestringSOC occupation code (first 7 chars of onet_code)19-3011
titlestringOccupation titleEconomists
categorystringSOC major group (occupation category)Life, Physical, and Social Science Occupations
exposure_scorefloatComposite AI exposure score (0–1), weighted across published methodologies0.7055
displacement_scorefloat|nullHeuristic-v1 displacement estimate (0–1, or null if fallback)0.7055
augmentation_scorefloat|nullAugmentation score (0–1, or null)0.2945
source_versionstringPer-methodology source version: "AIOE v2 (2023)" or "heuristic-v1"AIOE v2 (2023)
methodologyintCount of methodologies contributing to the composite (1–3)3
median_wageint|nullAnnual median wage (USD), or null if unavailable115740
entry_level_wageint|nullEntry-level annual wage (USD), or null65000
bls_projection_10yr_pctfloat|nullBLS 10-year employment projection (% change), or null2.3
n_empl_2024int|null2024 employment count (BLS), or null13250
entry_educationstring|nullTypical entry-level education requirementMaster's degree

The source_version column distinguishes the published AIOE v2 score from the in-house heuristic-v1 estimate. See the Coverage at a glance table on the methodology page for the methodology coverage definitions. The CSV is generated from /api/career/browse?limit=1200 — the live API response is the source of truth for the columns.