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District of Columbia · AI WORKFORCE READINESS

District of Columbia workers have moderate AI readiness, with real gaps in high-exposure occupations.

From the District of Columbia Workforce AI Readiness, FY2026-Q2. Published July 27, 2026. Scores are computed from publicly available labor market data using the JobRoute methodology.

The numbers.

State AI Ready Score
58/100

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

Workers analyzed
660,767workers

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

Pipeline gap
-4.5%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 District of Columbia 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 District of Columbia, with employment, task exposure, AI Ready score, and status.
Poets, Lyricists and Creative Writers27-3043.05525
82
41/100Act Now
Mail Clerks and Mail Machine Operators, Except Postal Service43-9051.00310
76
44/100Watch
Interpreters and Translators27-3091.00280
75
41/100Act Now
Editors27-3041.003,310
75
41/100Act Now
Telephone Operators43-2021.0050
74
37/100Act Now
Eligibility Interviewers, Government Programs43-4061.00640
73
43/100Act Now
Compliance Officers13-1041.00626
73
47/100Act Now
Shipping, Receiving, and Inventory Clerks43-5071.00680
73
41/100Act Now
Proofreaders and Copy Markers43-9081.0050
73
38/100Act Now
Coroners13-1041.06626
73
45/100Act 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 District of Columbia: 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 District of Columbia is to AI automation today, and how resilient the skill base is. A score of 58 out of 100 signals that a significant share of jobs carry elevated exposure to AI-driven task displacement.

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 District of Columbia workforce agencies

Get the full assessment for District of Columbia.

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 · May 2025

Briefing reference.

Period: FY2026-Q2Briefing: District of Columbia 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, WEF Future of Jobs 2025, Stanford/ADP (Nov 2025). Full methodology →