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South Dakota · AI WORKFORCE READINESS

South Dakota workers have moderate AI readiness, with real gaps in high-exposure occupations.

From the South Dakota Workforce AI Readiness, FY2026-Q2. Published July 7, 2026. Scores are computed from publicly available labor market data using the JobRoute methodology.

The numbers.

State AI Ready Score
64/100

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

Workers analyzed
432,149workers

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

Pipeline gap
-1.4%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 South Dakota 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 South Dakota, with employment, task exposure, AI Ready score, and status.
Customer Service Representatives43-4051.006,120
84
38/100Act Now
Computer Programmers15-1251.0070
84
36/100Act Now
Data Warehousing Specialists15-1243.0120
84
42/100Act Now
Market Research Analysts and Marketing Specialists13-1161.00765
83
44/100Act Now
Online Merchants13-1199.06188
82
41/100Act Now
Business Intelligence Analysts15-2051.0173
81
49/100Act Now
Medical Records Specialists29-2072.00900
80
43/100Act Now
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products41-4012.005,220
79
47/100Watch
Medical Transcriptionists31-9094.00240
76
38/100Act Now
Mail Clerks and Mail Machine Operators, Except Postal Service43-9051.00320
76
44/100Watch

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 South Dakota: 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 South Dakota 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.

For South Dakota workforce agencies

Get the full assessment for South Dakota.

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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We use your details only to follow up about a workforce briefing. We do not share them.

Data: BLS OEWS State May 2025 · May 2025

Briefing reference.

Period: FY2026-Q2Briefing: South Dakota Workforce AI Readiness, FY2026-Q2Published: Jul 7, 2026Methodology: v1.0.0

Sources: O*NET 30.3, Anthropic Economic Index (March 2026), BLS OEWS State May 2025, WEF Future of Jobs 2025, Stanford/ADP (Nov 2025). Full methodology →