# Motorcycle Mechanics

> Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles.

- **SOC code:** 49-3052.00
- **Canonical URL:** https://singulariki.com/roles/role-49-3052-00
- **Also known as:** All Terrain Vehicle Technician (ATV Technician), Motorcycle Mechanic, Motorcycle Technician, Service Technician, Custom Bike Builder, Motorcycle Service Technician, Motorsports Technician, Scooter Mechanic
- **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):
- Mount, balance, change, or check condition or pressure of tires.
- Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.
- Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.
- Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.
- Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.
- Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.
- Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.
- Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.
- Reassemble frames and reinstall engines after repairs.
- Install motorcycle accessories.
- Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.
- Reassemble and test subassembly units.

**Emerging tasks** (O*NET):
- Diagnose electrical problems.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Mechanical _(knowledge)_
- Troubleshooting _(transferable_skill)_
- Repairing _(transferable_skill)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Manual Dexterity _(ability)_
- Finger Dexterity _(ability)_
- Oral Comprehension _(ability)_
- Arm-Hand Steadiness _(ability)_
- Near Vision _(ability)_
- Hearing Sensitivity _(ability)_
- Problem Sensitivity _(ability)_

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

**Tools & technology:**
- Apple iOS _(hot technology)_
- Facebook _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Word _(hot technology)_
- AbbottSoft QuickFix
- DealerTrax ShopOrder
- Inventory tracking software
- LightSpeed Cloud
- Santa Maria Software Counterman Pro
- TRACKUM Repair Manager

## AI exposure & outlook

- **AI task-overlap index:** 12th percentile (Low) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 26th percentile (Low) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 3rd percentile (Low) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 16th percentile (Low) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 64th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.3% growth (About average); 1.5k annual openings; 14.9k → 15.7k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $47,200; 14,010 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** — automation, 53% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage. _(0.4% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.

## 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

---
_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-49-3052-00_