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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Task-level automation exposure for Audiovisual Equipment Installers and Repairers: 11 O*NET tasks scored against their work activities, plus the simulator.
Automation Exposure
11 of 11 tasks scored
Median Salary
BLS OEWS, May 2025 — this exact occupation
Employment Level
19,780 people hold this job — size, not growth
Projected 2025–35
2,200 openings a year · BLS line item
BLS OEWS publishes 46 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$26,010 – $74,890
Highest medians
Lowest medians
State figures come from the 49-2097 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.
11 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
3 tasks
2 tasks
6 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 →Install, service, and repair electronic equipment or instruments such as televisions, radios, and videocassette recorders.
physical manipulation — Hands-on electronic equipment repair
Calibrate and test equipment, and locate circuit and component faults, using hand and power tools and measuring and testing instruments such as resistance meters and oscilloscopes.
physical manipulation — Electrical probing and meter work by hand
Confer with customers to determine the nature of problems or to explain repairs.
interpersonal — Assessing customer problems needs live diagnostic dialogue
Position or mount speakers, and wire speakers to consoles.
physical manipulation — Installing AV equipment requires hands-on wiring
Instruct customers on the safe and proper use of equipment.
interpersonal — Customer product training is relational and situational
Make service calls to repair units in customers' homes, or return units to shops for major repairs.
situated mobility — Physical travel to sites requires human mobility
Read and interpret electronic circuit diagrams, function block diagrams, specifications, engineering drawings, and service manuals.
information retrieval — Technical reading for maintenance well handled
Tune or adjust equipment and instruments to obtain optimum visual or auditory reception, according to specifications, manuals, and drawings.
physical manipulation — Hands-on equipment adjustment for performance
Keep records of work orders and test and maintenance reports.
text generation — Log maintenance and repair records from data
Disassemble entertainment equipment and repair or replace loose, worn, or defective components and wiring, using hand tools and soldering irons.
physical manipulation — Hands-on electronic equipment repair
Compute cost estimates for labor and materials.
data analysis — Labor/material cost estimation from rates
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<script src="https://giniloh.com/embed.js" async></script> Community Sentiment
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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