AI exposure by occupation, O*NET 49-2096.00

Will AI replace Electronic Equipment Installers and Repairers, Motor Vehicles?

Electronic Equipment Installers and Repairers, Motor Vehicles: AI does not yet handle any of the role's 12 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.

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Every task, scored

The 12 tasks O*NET 30.3 lists for Electronic Equipment Installers and Repairers, Motor Vehicles, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems. 20 Estimated Efficient 4.5
Remove seats, carpeting, and interiors of doors and add sound-absorbing material in empty spaces, reinstalling interior parts. 20 Estimated Efficient 4.1
Estimate costs of repairs, based on parts and labor charges. 20 Estimated Efficient 4.0
Cut openings and drill holes for fixtures and equipment, using electric drills and routers. 15 Estimated No tier 4.4
Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment. 15 Estimated No tier 4.3
Run new speaker and electrical cables. 15 Estimated No tier 4.3
Confer with customers to determine the nature of malfunctions. 15 Estimated No tier 4.3
Record results of diagnostic tests. 15 Estimated No tier 4.0
Replace and clean electrical or electronic components. 15 Estimated No tier 3.9
Build fiberglass or wooden enclosures for sound components, and fit them to automobile dimensions. 15 Estimated No tier 3.7
Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters. 10 Estimated No tier 4.5
Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles. 10 Estimated No tier 4.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 12 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 12 of 12. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 25% of the role's importance-weighted task work. 25% of the work is something AI can address at some tier, and 75% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
8,550
Median annual wage
$48,420
Middle half of earners
$43,310 to $58,500
Projected change, 2024 to 2034
-13.6%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Electronic Equipment Installers and Repairers, Motor Vehicles and AI

Will AI replace Electronic Equipment Installers and Repairers, Motor Vehicles?

Not on current evidence. None of the 12 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 15 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Electronic Equipment Installers and Repairers, Motor Vehicles?

15 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 12 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 12 are estimated from each task's O*NET work activity.

Which Electronic Equipment Installers and Repairers, Motor Vehicles tasks can AI already do?

None reaches 60 yet. The most exposed task is: Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems, at 20 out of 100.

What AI model tier does this role need?

An efficient-tier model or lower covers 25% of the role's importance-weighted task work, and 75% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Electronic Equipment Installers and Repairers, Motor Vehicles, and what do they earn?

8,550 people in the United States, with a median annual wage of $48,420 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of -13.6% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Electronic Equipment Installers and Repairers, Motor Vehicles. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/electronic-equipment-installers-and-repairers-motor-vehicles

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