Will AI replace Electrical and Electronics Installers and Repairers, Transportation Equipment?
AI reaches little of this job’s work.
16/100
Low exposure
More exposed to AI than 29% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 24% of the work
What the job involves
Install, adjust, or maintain mobile electronics communication equipment, including sound, sonar, security, navigation, and surveillance systems on trains, watercraft, or other mobile equipment.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(4)
- Refer to schematics and manufacturers' specifications that show connections and provide instructions on how to locate problems.
- Maintain equipment service records.
- Confer with customers to determine the nature of malfunctions.
- Estimate costs of repairs based on parts and labor requirements.
Out of reach(11)
- Reassemble and test equipment after repairs.
- Splice wires with knives or cutting pliers, and solder connections to fixtures, outlets, and equipment.
- Inspect and test electrical systems and equipment to locate and diagnose malfunctions, using visual inspections, testing devices, and computer software.
- Locate and remove or repair circuit defects such as blown fuses or malfunctioning transistors.
- Install new fuses, electrical cables, or power sources as required.
and 6 more
Also called
Locomotive Electrician · Electronics Mechanic · Marine Electronics Technician · Mobile Electronics Installer · Critical Systems Technician · Electronic Bench Technician · Power Technician (Power Tech) · Ship Yard Electrical Person
Related jobs
- Avionics Technicians15/100
- Electrical and Electronics Repairers, Powerhouse, Substation, and Relay18/100
- Electrical and Electronics Repairers, Commercial and Industrial Equipment26/100
- Electrical and Electronic Engineering Technologists and Technicians34/100
- Electric Motor, Power Tool, and Related Repairers2/100
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