Gini Loh System Tools

AI Automation Index

Will AI Replace Audiovisual Equipment Installers and Repairers?

Task-level automation exposure for Audiovisual Equipment Installers and Repairers: 11 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

33% weighted task index

11 of 11 tasks scored

Median Salary

$52,600 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

19,780 people hold this job — size, not growth

Projected 2025–35

+4.8% employment change

2,200 openings a year · BLS line item

Pay by state

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

Connecticut $74,890
Washington $70,720
Delaware $69,990
Maryland $65,160
Iowa $64,390

Lowest medians

Puerto Rico $26,010
Wyoming $33,300
South Dakota $38,860
Nebraska $39,940
Mississippi $41,920

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.

What the score is made of

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.

Automation potential 33%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 56%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 9%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 9%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 2/100 Low

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.

Constituent Task Mix

11 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 25%

3 tasks

Medium exposure (≥ 35%) 19%

2 tasks

Low exposure (below 35%) 56%

6 tasks

How would you survive?

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 →

Constituent Tasks

#13738 · Core · 13% automatable

Install, service, and repair electronic equipment or instruments such as televisions, radios, and videocassette recorders.

physical manipulation — Hands-on electronic equipment repair

Install audio or communications equipment. Repair electronic equipment.
#13739 · Core · 20% automatable

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

Test electrical circuits or components for proper functioning. Calibrate equipment to specifications.
#13740 · Core · 45% automatable

Confer with customers to determine the nature of problems or to explain repairs.

interpersonal — Assessing customer problems needs live diagnostic dialogue

Confer with customers or users to assess problems.
#13747 · Core · 8% automatable

Position or mount speakers, and wire speakers to consoles.

physical manipulation — Installing AV equipment requires hands-on wiring

Install audio or communications equipment.
#13742 · Core · 42% automatable

Instruct customers on the safe and proper use of equipment.

interpersonal — Customer product training is relational and situational

Train customers in the use of products.
#13746 · Core · 5% automatable

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

Travel to work sites to perform installation, repair or maintenance work.
#13744 · Core · 71% automatable

Read and interpret electronic circuit diagrams, function block diagrams, specifications, engineering drawings, and service manuals.

information retrieval — Technical reading for maintenance well handled

Read technical information needed to perform maintenance or repairs. Interpret blueprints, specifications, or diagrams to inform installation, development or operation activities.
#13741 · Core · 15% automatable

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

Adjust equipment to ensure optimal performance.
#13745 · Core · 80% automatable

Keep records of work orders and test and maintenance reports.

text generation — Log maintenance and repair records from data

Maintain repair or maintenance records.
#13737 · Core · 13% automatable

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

Disassemble equipment for maintenance or repair. Repair electronic equipment.
#13743 · Supplemental · 70% automatable

Compute cost estimates for labor and materials.

data analysis — Labor/material cost estimation from rates

Estimate costs for labor or materials.
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Community Sentiment

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Do you agree with the AI automation risk score calculated for this occupation?

Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

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 →

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