# Electric Motor, Power Tool, and Related Repairers

> Repair, maintain, or install electric motors, wiring, or switches.

- **SOC code:** 49-2092.00
- **Canonical URL:** https://singulariki.com/roles/role-49-2092-00
- **Also known as:** Electric Motor Winder, Maintenance Technician, Repair Technician, Service Technician, Electric Motor Mechanic, Electric Motor Repairman, Electro Mechanic, Power Tool Repair Technician
- **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 and test equipment to locate damage or worn parts and diagnose malfunctions, or read work orders or schematic drawings to determine required repairs.
- Verify and adjust alignments and dimensions of parts, using gauges and tracing lathes.
- Reassemble repaired electric motors to specified requirements and ratings, using hand tools and electrical meters.
- Measure velocity, horsepower, revolutions per minute (rpm), amperage, circuitry, and voltage of units or parts to diagnose problems, using ammeters, voltmeters, wattmeters, and other testing devices.
- Repair and rebuild defective mechanical parts in electric motors, generators, and related equipment, using hand tools and power tools.
- Lift units or parts such as motors or generators, using cranes or chain hoists, or signal crane operators to lift heavy parts or subassemblies.
- Record repairs required, parts used, and labor time.
- Disassemble defective equipment so that repairs can be made, using hand tools.
- Adjust working parts, such as fan belts, contacts, and springs, using hand tools and gauges.
- Steam-clean polishing and buffing wheels to remove abrasives and bonding materials, and spray, brush, or recoat surfaces as necessary.
- Set machinery for proper performance, using computers.
- Lubricate moving parts.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Repairing _(transferable_skill)_
- Finger Dexterity _(ability)_
- Equipment Maintenance _(transferable_skill)_
- Troubleshooting _(transferable_skill)_
- Problem Sensitivity _(ability)_
- Near Vision _(ability)_
- Critical Thinking _(essential_skill)_
- Equipment Selection _(transferable_skill)_
- Quality Control Analysis _(transferable_skill)_
- Manual Dexterity _(ability)_
- Complex Problem Solving _(transferable_skill)_

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

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Python _(hot technology)_
- SAP software _(hot technology)_
- Commutator profiling software
- Computerized maintenance management system CMMS
- Motor testing software

## AI exposure & outlook

- **AI task-overlap index:** 22nd percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 25th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 16th percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 31st percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 62nd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 3.4% growth (About average); 1.7k annual openings; 17.1k → 17.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $53,990; 16,570 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** 31% automation, 32% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Measure velocity, horsepower, revolutions per minute (rpm), amperage, circuitry, and voltage of units or parts to diagnose problems, using ammeters, voltmeters, wattmeters, and other testing devices. _(0.6% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me measure velocity, horsepower, revolutions per minute (rpm), amperage, circuitry, and voltage of units or parts to diagnose problems, using ammeters, voltmeters, wattmeters, and other testing devices.

## 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-49-2092-00_