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United States · AI WORKFORCE READINESS

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 27, 2026. Scores are computed from publicly available labor market data using the JobRoute methodology.

The numbers.

National AI Ready Score
61/100

Employment-weighted composite across all occupations. Higher means a more AI-ready workforce.

Workers analyzed
144,555,948workers

Real BLS OES national employment total, distributed across O*NET occupations. See methodology.

Pipeline gap
-3.1%YoY

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.

Most AI-exposed occupations in United States, with employment, task exposure, AI Ready score, and status.
Poets, Lyricists and Creative Writers27-3043.0523,285
82
41/100Act Now
Insurance Claims and Policy Processing Clerks43-9041.00214,120
78
40/100Act Now
Mail Clerks and Mail Machine Operators, Except Postal Service43-9051.0055,220
76
44/100Watch
Interpreters and Translators27-3091.0052,040
75
41/100Act Now
Credit Authorizers, Checkers, and Clerks43-4041.0011,110
75
37/100Act Now
Editors27-3041.0091,390
75
41/100Act Now
Telephone Operators43-2021.001,900
74
37/100Act Now
Eligibility Interviewers, Government Programs43-4061.00154,160
73
43/100Act Now
Compliance Officers13-1041.0059,576
73
47/100Act Now
Shipping, Receiving, and Inventory Clerks43-5071.00816,890
73
41/100Act Now

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 61 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.

For United States workforce agencies

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.

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Data: BLS OEWS State May 2025 (aggregated across all 51 state jurisdictions) · May 2025

Briefing reference.

Period: FY2026-Q2Briefing: United States Workforce AI Readiness, FY2026-Q2Published: Jul 27, 2026Methodology: v1.0.0

Sources: O*NET 30.3, Anthropic Economic Index (June 2026), BLS OEWS State May 2025 (aggregated across all 51 state jurisdictions), WEF Future of Jobs 2025, Stanford/ADP (Nov 2025). Full methodology →