United States workers have moderate AI readiness, with real gaps in high-exposure occupations.
From the United States Workforce AI Readiness, FY2026-Q2. Published July 7, 2026. Scores are computed from publicly available labor market data using the JobRoute methodology.
The numbers.
Employment-weighted composite across all occupations. Higher means a more AI-ready workforce.
Real BLS OES national employment total, distributed across O*NET occupations. See methodology.
Modeled employment change in AI-exposed roles. Source: Stanford Digital Economy Lab / ADP Research, "Canaries in the Coal Mine: AI and the Early-Career Labor Market", Nov 2025.
Most AI-exposed occupations.
The occupations in United States with the highest task exposure to current AI tools, ordered by exposure. Task exposure and the AI Ready score both run 0 to 100. Select any column heading to sort.
| Customer Service Representatives43-4051.00 | 2,595,760 | 84 | 38/100 | Act Now |
|---|---|---|---|---|
| Computer Programmers15-1251.00 | 91,270 | 84 | 36/100 | Act Now |
| Data Warehousing Specialists15-1243.01 | 33,345 | 84 | 42/100 | Act Now |
| Market Research Analysts and Marketing Specialists13-1161.00 | 449,790 | 83 | 44/100 | Act Now |
| Online Merchants13-1199.06 | 214,880 | 82 | 41/100 | Act Now |
| Business Intelligence Analysts15-2051.01 | 87,468 | 81 | 49/100 | Act Now |
| Medical Records Specialists29-2072.00 | 194,040 | 80 | 43/100 | Act Now |
| Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products41-4012.00 | 1,238,180 | 79 | 47/100 | Watch |
| Medical Transcriptionists31-9094.00 | 39,020 | 76 | 38/100 | Act Now |
| Mail Clerks and Mail Machine Operators, Except Postal Service43-9051.00 | 55,220 | 76 | 44/100 | Watch |
Showing the 10 most-exposed occupations. Occupations for which BLS suppressed the state employment estimate are not shown. Worker counts are the real BLS SOC-level total distributed evenly across the O*NET occupations that share a SOC, so occupations sharing a SOC show an equal allocated share, not a separately measured count. The full occupation dataset is available to download below.
Download the data.
The full occupation-level dataset for United States: employment, task exposure, AI Ready score, and archetype for every occupation. Cited to public sources. Machine-readable, stable columns.
What this means for workers.
The AI Ready Score measures how exposed the average job in United States is to AI automation today, and how resilient the skill base is. A score of 64 out of 100 reflects meaningful skill durability relative to current AI tools. High-exposure roles still need attention.
Employment in AI-exposed roles is broadly stable, with pockets of change in high-exposure occupations.
This score is a starting point for policy planning, not a verdict on any individual worker. Retraining programs, apprenticeships, and pipeline investments can change outcomes. Check your own job at ready.jobroute.ai for free. No account needed.
Get the full assessment for United States.
The public summary is a preview. JobRoute prepares the full, occupation-level workforce AI readiness assessment for labor and workforce agencies: dislocation cohorts, adjacent-role pathways, and a Governor briefing. Cited and reproducible, from public BLS data.
Data: BLS OEWS State May 2025 (aggregated across all 51 state jurisdictions) · May 2025
Briefing reference.
Sources: O*NET 30.3, Anthropic Economic Index (March 2026), BLS OEWS State May 2025 (aggregated across all 51 state jurisdictions), WEF Future of Jobs 2025, Stanford/ADP (Nov 2025). Full methodology →