Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles.
U.S. Workers
14,010
Median Salary
$47,200
10-Year Growth
+5.3%
Annual Openings
1,500
Typical entry: Postsecondary nondegree award
12 of 12 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Mount, balance, change, or check condition or pressure of tires.
AI: Fully automatable - Tire mounting, balancing, changing, and pressure checks are commonly handled by automated machines and can be fully automated in typical shop environments.
Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.
AI: Partial - AI can analyze engine sounds, sensor and customer-reported data to diagnose likely faults, but cannot autonomously perform the physical inspection and hands-on verification required in many cases.
Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.
AI: Partial - AI can provide step‑by‑step guidance and coordinate specialized tooling or robotic aids in controlled settings, but fully autonomous, general-purpose physical replacement with the dexterity of a human mechanic is not broadly available in 2025.
Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.
AI: Partial - Swapping accessible components like headlights is straightforward for guided humans and some fixed automation, but fully autonomous, general repair/replace capability across varied motorcycles is not widely achievable by AI alone.
Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.
AI: Partial - AI can supply specifications, adjustment procedures, and assist with sensor-driven tuning, yet the precise manual adjustments and tactile judgments for forks, transmissions, brakes, or chains still require human hands or specialized non‑general robotics.
Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.
AI: Partial - AI can guide engine teardown and identify parts to replace and can control some machine tools, but complete autonomous dismantling and nuanced repair of varied engine components remains largely manual or domain‑specific robotic work.
Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.
AI: Partial - AI systems can interpret test-panel data and automate measurement analysis, and some fixtures can automate connections in shops, but reliably connecting arbitrary test panels to diverse engines still typically requires human intervention.
Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.
AI: Partial - Computer vision and sensor data let AI perform detailed inspections and flag misalignment or wear, but the disassembly to access those parts and certain gauge measurements are still often manual tasks.
Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.
AI: Partial - AI can control machining tools and provide procedures for valve grinding and part replacement, however the complex manual setup, fixturing, and delicate finishing steps prevent full autonomous execution in general workshops.
Reassemble frames and reinstall engines after repairs.
AI: Partial - AI can plan reassembly sequences, provide alignment targets and operate some lifting equipment, yet the heavy lifting, fit adjustments and nuanced alignment for reinstalling engines usually require human technicians or specialized fixtures.
Reassemble and test subassembly units.
AI: Partial - Testing subassemblies can be largely automated and AI can validate results, but the physical reassembly of varied units and final manual verification prevent complete autonomous execution across typical motorcycle repair contexts.
Hammer out dents and bends in frames and weld tears and breaks.
AI: Partial - Automated welding and robotic metalworking can assist or perform some repairs in controlled settings, but AI cannot fully replicate the skilled, variable hand‑work and judgment needed for most frame dent straightening and bespoke weld repairs in field motorcycle work.