Will AI replace Motorcycle Mechanics?
AI reaches little of this job’s work.
0/100
Low exposure
More exposed to AI than 2% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 0% of the work
What the job involves
Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Out of reach(13)
- 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.
- 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.
and 8 more
Also called
Motorcycle Technician · Scooter Mechanic · Motorcycle Repairer · Motorcycle Subassembly Repairer · All Terrain Vehicle Technician (ATV Technician) · Motorcycle Mechanic · Motorcycle Service Technician · Motorsports Technician
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics