# Aircraft Mechanics and Service Technicians

> Diagnose, adjust, repair, or overhaul aircraft engines and assemblies, such as hydraulic and pneumatic systems.

- **SOC code:** 49-3011.00
- **Canonical URL:** https://singulariki.com/roles/role-49-3011-00
- **Also known as:** Aircraft Maintenance Technician (Aircraft Maintenance Tech), Aircraft Mechanic, Aircraft Technician (Aircraft Tech), Airframe and Powerplant Mechanic (A and P Mechanic), Aircraft Maintainer, Aircraft Restorer, Aircraft Service Technician (Aircraft Service Tech), Aviation Maintenance Technician (AMT)
- **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):
- Inspect completed work to certify that maintenance meets standards and that aircraft are ready for operation.
- Read and interpret maintenance manuals, service bulletins, and other specifications to determine the feasibility and method of repairing or replacing malfunctioning or damaged components.
- Maintain repair logs, documenting all preventive and corrective aircraft maintenance.
- Examine and inspect aircraft components, including landing gear, hydraulic systems, and deicers to locate cracks, breaks, leaks, or other problems.
- Conduct routine and special inspections as required by regulations.
- Inspect airframes for wear or other defects.
- Replace or repair worn, defective, or damaged components, using hand tools, gauges, and testing equipment.
- Check for corrosion, distortion, and invisible cracks in the fuselage, wings, and tail, using x-ray and magnetic inspection equipment.
- Measure parts for wear, using precision instruments.
- Remove or install aircraft engines, using hoists or forklift trucks.
- Service and maintain aircraft and related apparatus by performing activities such as flushing crankcases, cleaning screens, and or moving parts.
- Assemble and install electrical, plumbing, mechanical, hydraulic, and structural components and accessories, using hand or power tools.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Equipment Maintenance _(transferable_skill)_
- Repairing _(transferable_skill)_
- Mechanical _(knowledge)_
- Troubleshooting _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Operations Monitoring _(transferable_skill)_
- Reading Comprehension _(essential_skill)_
- Written Comprehension _(ability)_
- Near Vision _(ability)_
- Critical Thinking _(essential_skill)_
- Information Ordering _(ability)_
- Manual Dexterity _(ability)_

**Skills in demand:**
- Equipment Maintenance _(Specialized Skill)_
- Reading Comprehension _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- English Language _(Common Skill)_
- Visualization _(Specialized Skill)_
- Active Listening _(Common Skill)_
- Equipment Selection _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Windows _(hot technology)_
- Microsoft Word _(hot technology)_
- SAP software _(hot technology)_
- Access Software AIRPAX
- CaseBank SpotLight
- Computerized aircraft log manager CALM
- DatcoMedia EBis
- Disassembler software

## AI exposure & outlook

- **AI task-overlap index:** 21st percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 30th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 23rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 15th percentile (Low) — 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):** 4.0% growth (About average); 11.3k annual openings; 139.4k → 145k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $78,680; 136,390 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-49-3011-00_