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AI Automation Index
Task-level automation exposure for Wind Turbine Service Technicians: 12 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
12 of 12 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
9,980 people hold this job — size, not growth
Projected 2025–35
1,500 openings a year · BLS line item
BLS OEWS publishes 25 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$50,040 – $81,330
Highest medians
Lowest medians
State figures come from the 49-9081 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Importance-weighted mean of the scored tasks. This is the headline index.
Share of weighted tasks in hands-on or machine-operating work activities.
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Share in documenting, recording, and administrative activities.
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
12 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
1 tasks
1 tasks
10 tasks
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Troubleshoot or repair mechanical, hydraulic, or electrical malfunctions related to variable pitch systems, variable speed control systems, converter systems, or related components.
decision support — Troubleshooting aided; hands-on diagnosis human
Perform routine maintenance on wind turbine equipment, underground transmission systems, wind fields substations, or fiber optic sensing and control systems.
physical manipulation — Physical maintenance of machinery
Diagnose problems involving wind turbine generators or control systems.
physical manipulation — Physical repair of installed energy systems
Test electrical components of wind systems with devices, such as voltage testers, multimeters, oscilloscopes, infrared testers, or fiber optic equipment.
physical manipulation — Electrical probing and meter work by hand
Start or restart wind turbine generator systems to ensure proper operations.
physical manipulation — Hands-on mechanical testing in physical environment
Climb wind turbine towers to inspect, maintain, or repair equipment.
situated mobility — Climbing structures requires physical mobility
Maintain tool and spare parts inventories required for repair, installation, or replacement services.
data analysis — Materials inventory records and forecasting automatable
Test structures, controls, or mechanical, hydraulic, or electrical systems, according to test plans or in coordination with engineers.
data analysis — Electrical testing requires hands-on instrument use
Train end-users, distributors, installers, or other technicians in wind commissioning, testing, or other technical procedures.
interpersonal — Operational training requires live human delivery
Collect turbine data for testing or research and analysis.
physical manipulation — Requires physical gauges and instrument reading
Inspect or repair fiberglass turbine blades.
visual inspection — Locating wear and damage requires physical inspection
Assist in assembly of individual wind generators or construction of wind farms.
physical manipulation — Assembling structural components is hands-on
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Do you agree with the AI automation risk score calculated for this occupation?
Method
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
See the full method →Related Article
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