Will AI replace Electronic Equipment Installers and Repairers, Motor Vehicles?
AI reaches little of this job’s work.
13/100
Low exposure
More exposed to AI than 25% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 26% of the work
What the job involves
Install, diagnose, or repair communications, sound, security, or navigation equipment in motor vehicles.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(3)
- Record results of diagnostic tests.
- Confer with customers to determine the nature of malfunctions.
- Estimate costs of repairs, based on parts and labor charges.
Out of reach(9)
- Inspect and test electrical or electronic systems to locate and diagnose malfunctions, using visual inspections and testing instruments, such as oscilloscopes and voltmeters.
- Diagnose or repair problems with electronic equipment, such as sound, navigation, communication, and security equipment, in motor vehicles.
- Splice wires with knives or cutting pliers, and solder connections to fixtures and equipment.
- Replace and clean electrical or electronic components.
- Run new speaker and electrical cables.
and 4 more
Also called
Mobile Electronics Installer · Car Stereo Installer · Car Alarm Installer · Mobile Electronics Installation Specialist · Car Audio Installer · Security Systems Installer · Auto Tech (Automotive Technician) · Car Electronics Installer
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics