AI exposure by occupation, O*NET 49-2091.00
Will AI replace Avionics Technicians?
Avionics Technicians: AI can already handle 1 of 13 tasks; the work mostly needs a standard-tier model.
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Every task, scored
The 13 tasks O*NET 30.3 lists for Avionics Technicians, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.
| Task | AI exposure | Evidence | Model tier |
|---|---|---|---|
| Operate computer-aided drafting and design applications to design avionics system modifications. | Estimated | Frontier | |
| Coordinate work with that of engineers, technicians, and other aircraft maintenance personnel. | Estimated | Standard | |
| Test and troubleshoot instruments, components, and assemblies, using circuit testers, oscilloscopes, or voltmeters. | Estimated | Efficient | |
| Keep records of maintenance and repair work. | Estimated | Efficient | |
| Adjust, repair, or replace malfunctioning components or assemblies, using hand tools or soldering irons. | Estimated | Efficient | |
| Install electrical and electronic components, assemblies, and systems in aircraft, using hand tools, power tools, or soldering irons. | Estimated | Efficient | |
| Lay out installation of aircraft assemblies and systems, following documentation such as blueprints, manuals, and wiring diagrams. | Estimated | Efficient | |
| Set up and operate ground support and test equipment to perform functional flight tests of electrical and electronic systems. | Estimated | No tier | |
| Assemble components such as switches, electrical controls, and junction boxes, using hand tools or soldering irons. | Estimated | No tier | |
| Connect components to assemblies such as radio systems, instruments, magnetos, inverters, and in-flight refueling systems, using hand tools and soldering irons. | Estimated | No tier | |
| Fabricate parts and test aids as required. | Estimated | No tier | |
| Assemble prototypes or models of circuits, instruments, and systems for use in testing. | Estimated | No tier | |
| Interpret flight test data to diagnose malfunctions and systemic performance problems. | Estimated | No tier |
Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 13 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 13 of 13. 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
A standard-tier model or lower covers 50% of the role's importance-weighted task work. 56% of the work is something AI can address at some tier, and 45% 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
- 18,830
- Median annual wage
- $82,280
- Middle half of earners
- $63,900 to $99,110
- Projected change, 2024 to 2034
- +8.2%
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.
- Aircraft Mechanics and Service Technicians 79% skill overlap, about 8 months to move Exposure20
- Aerospace Engineering and Operations Technologists and Technicians 73% skill overlap, about 10 months to move Exposure41
- Audiovisual Equipment Installers and Repairers 71% skill overlap, about 10 months to move Exposure24
- Electrical and Electronics Installers and Repairers, Transportation Equipment 69% skill overlap, about 11 months to move Exposure18
- Automotive Service Technicians and Mechanics 69% skill overlap, about 11 months to move Exposure21
Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.
Questions about Avionics Technicians and AI
Will AI replace Avionics Technicians?
AI already handles 1 of the 13 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 24 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. BLS projects employment to change by +8.2% from 2024 to 2034.
What is the AI exposure of Avionics Technicians?
24 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 13 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 13 are estimated from each task's O*NET work activity.
Which Avionics Technicians tasks can AI already do?
The tasks with the highest exposure are: Operate computer-aided drafting and design applications to design avionics system modifications. It is the only task that reach 60 or more.
What AI model tier does this role need?
A standard-tier model or lower covers 50% of the role's importance-weighted task work, and 45% 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 Avionics Technicians, and what do they earn?
18,830 people in the United States, with a median annual wage of $82,280 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +8.2% 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: Avionics Technicians. 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/avionics-technicians
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