How exposed to AI is the job of Electronic Equipment Installers and Repairers, Motor Vehicles?

15.1% of the weighted task load of Electronic Equipment Installers and Repairers, Motor Vehicles is exposed, meaning work current AI systems can produce with little structural friction. A further 9.1% is assisted work and 75.8% is untouched. That places it 24th out of 923 occupations, rank 706, in release v2026.Q3 of the Task Exposure Index.

Occupation · SOC 49-2096.00 · Job Zone 3

AI exposure: Electronic Equipment Installers and Repairers, Motor Vehicles

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

The index does not measure displacement. It measures what current AI systems can produce and what stands in the way. Whether exposed work becomes a lost job depends on firm economics, regulation and organisational inertia, none of which this index models.

Q: Which tasks of a Electronic Equipment Installers and Repairers, Motor Vehicles are most exposed to AI?

Of 12 tasks O*NET records for this occupation, 3 are exposed, 0 assisted and 9 untouched. The full task-by-task breakdown is published on this page.

Install, diagnose, or repair communications, sound, security, or navigation equipment in motor vehicles.

Reading this score

computed

At 15.1% of weighted task load, Electronic Equipment Installers and Repairers, Motor Vehicles sits at the 24th percentile, below the point where a job's centre of gravity has moved. 75.8% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.

What holds the line here is embodiment. Across this occupation's 12 tasks it averages 2.33 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Record results of diagnostic tests, at 73.3%. The least is Build fiberglass or wooden enclosures for sound components, and fit them to automobile..., at 0.0%. A gap of 73.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within installation, maintenance and repair occupations, this one is more exposed than most. The median across the 50 roles in the group is 12.8%, and only 19 of them score higher than this. Occupational families are not uniform, and the spread inside them is often wider than the gap between them.

What would move this score. Of 12 tasks, 3 are currently banded exposed, 0 assisted and 9 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

Dimension	Mean	Scale
Capability	0.92	0-4
Embodiment	2.33	0-3
Presence	0.38	0-3
Accountability	0.93	0-3
Context	1.31	0-3
Verification cost	1.28	0-3

Task by task

12 tasks, O*NET 31.0

Task	Exposed	Assisted	Untouched	Importance	Band
Record results of diagnostic tests.	73.3%	26.7%	0.0%	3.89	exposed
Estimate costs of repairs, based on parts and labor charges.	50.0%	25.0%	25.0%	4.39	exposed
Confer with customers to determine the nature of malfunctions.	40.0%	35.0%	25.0%	3.92	exposed
Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters.	9.2%	15.8%	75.0%	4.22	untouched
Install equipment and accessories, such as stereos, navigation equipment, communication equipment, and security systems.	0.0%	0.0%	100.0%	4.23	untouched
Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles.	0.0%	0.0%	100.0%	4.01	untouched
Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment.	0.0%	0.0%	100.0%	3.84	untouched
Run new speaker and electrical cables.	0.0%	0.0%	100.0%	3.83	untouched
Remove seats, carpeting, and interiors of doors and add sound-absorbing material in empty spaces, reinstalling interior parts.	0.0%	0.0%	100.0%	3.78	untouched
Replace and clean electrical or electronic components.	0.0%	0.0%	100.0%	3.75	untouched
Cut openings and drill holes for fixtures and equipment, using electric drills and routers.	0.0%	0.0%	100.0%	3.57	untouched
Build fiberglass or wooden enclosures for sound components, and fit them to automobile dimensions.	0.0%	0.0%	100.0%	2.69	untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.