# Avionics Technicians

> Install, inspect, test, adjust, or repair avionics equipment, such as radar, radio, navigation, and missile control systems in aircraft or space vehicles.

- **SOC code:** 49-2091.00
- **Canonical URL:** https://singulariki.com/roles/role-49-2091-00
- **Also known as:** Aviation Electrical Technician, Avionics Electronics Technician, Avionics Installer, Avionics Technician (Avionics Tech), Aircraft Electrical Systems Specialist, Aircraft Technician, Aviation Electronics Technician, Avionics Systems Integration Specialist
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Test and troubleshoot instruments, components, and assemblies, using circuit testers, oscilloscopes, or voltmeters.
- Keep records of maintenance and repair work.
- Adjust, repair, or replace malfunctioning components or assemblies, using hand tools or soldering irons.
- Install electrical and electronic components, assemblies, and systems in aircraft, using hand tools, power tools, or soldering irons.
- Set up and operate ground support and test equipment to perform functional flight tests of electrical and electronic systems.
- Assemble components such as switches, electrical controls, and junction boxes, using hand tools or soldering irons.
- Connect components to assemblies such as radio systems, instruments, magnetos, inverters, and in-flight refueling systems, using hand tools and soldering irons.
- Lay out installation of aircraft assemblies and systems, following documentation such as blueprints, manuals, and wiring diagrams.
- Interpret flight test data to diagnose malfunctions and systemic performance problems.
- Coordinate work with that of engineers, technicians, and other aircraft maintenance personnel.
- Fabricate parts and test aids as required.
- Assemble prototypes or models of circuits, instruments, and systems for use in testing.

**Emerging tasks** (O*NET):
- Perform installation, testing, adjustment, and repair of avionics equipment in uncrewed aerial vehicles, such as drones.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Computers and Electronics _(knowledge)_
- Mechanical _(knowledge)_
- English Language _(knowledge)_
- Equipment Maintenance _(transferable_skill)_
- Troubleshooting _(transferable_skill)_
- Repairing _(transferable_skill)_
- Written Comprehension _(ability)_
- Engineering and Technology _(knowledge)_
- Critical Thinking _(essential_skill)_
- Operations Monitoring _(transferable_skill)_
- Quality Control Analysis _(transferable_skill)_
- Oral Comprehension _(ability)_

**Skills in demand:**
- English Language _(Common Skill)_
- Equipment Maintenance _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Critical Thinking _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Finger Dexterity _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Microsoft Excel _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Telecommunications _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Active Listening _(Common Skill)_

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- Autodesk AutoCAD _(hot technology)_
- C++ _(hot technology)_
- Linux _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Java _(hot technology)_
- SAP software _(hot technology)_
- UNIX _(hot technology)_
- Workday software _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 40th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 44th percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 36th percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 46th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 58th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.2% growth (Growing fast); 1.8k annual openings; 21.4k → 23.1k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $81,390; 20,900 employed.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-49-2091-00_