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Will AI replace Motorcycle Mechanics?

Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 49-3052.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
26%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierLower exposure jobs →
Task automation shareⓘ
26%Automatable
Automatable26%
Augmentable41%
Hard to automate33%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$94,100/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Mount, balance, change, or check condition or pressure of tires.36%
⚙Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.26%
✦Physical dexterity in unpredictable settings25%
✦Safety responsibility and on-site judgment21%
▥Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.15%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with mount, balance, change, or check condition or pressure of tires..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in physical dexterity in unpredictable settings.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Motorcycle Mechanics.
02>AI can help with: Mount, balance, change, or check condition or pressure of tires.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 26% is estimated task exposure—not a 26% chance of losing the job.
What AI can do
Mount, balance, change, or check condition or pressure of tires.LOW MATCH
Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.LOW MATCH
Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.LOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

HIGH MOAT

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength8.8
Similar-role comparison
RoleRisk
Motorcycle Mechanics26%
Fishing and Hunting Workers26%
Maintenance Workers, Machinery26%
Automotive Glass Installers and Repairers26%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025O*NET 49-3052.00Share report
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

O*NET 49-3052.00 occupation profile ↗ILO Generative AI and Jobs 2025 ↗Scoring methodology →

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