Motorcycle Mechanics

Motorcycle Mechanics score 0 out of 100, which is low exposure to AI. That ranks #876 of 923 US occupations, where #1 is the most exposed. Of the 13 tasks in this job, AI could speed up 0 on its own and 0 more with extra software built on top of it. None of its tasks showed up in real AI use in April–May 2026.

0/ 100

Low

Rank: #876of 923 jobs
US workers: 13,510BLS, May 2025
Median pay: $48,580a year
In real AI use: 0 of 13tasks, April–May 2026

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Task by task

Each task this job involves, as listed by O*NET, rated on whether a large language model like GPT-4 could cut the time it takes by at least half at the same quality. Tasks marked Seen in real AI use appeared in conversations with Claude in April–May 2026 (Anthropic Economic Index).

AI can speed this up on its own: 0 (0%)
AI can speed this up with extra software: 0 (0%)
Little or no AI speed-up: 13 (100%)

Mount, balance, change, or check condition or pressure of tires.Little or no AI speed-up · core task
Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.Little or no AI speed-up · core task
Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.Little or no AI speed-up · core task
Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.Little or no AI speed-up · core task
Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.Little or no AI speed-up · core task
Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.Little or no AI speed-up · core task
Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.Little or no AI speed-up · core task
Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.Little or no AI speed-up · core task
Reassemble frames and reinstall engines after repairs.Little or no AI speed-up · core task
Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.Little or no AI speed-up · core task
Install motorcycle accessories.Little or no AI speed-up · core task
Reassemble and test subassembly units.Little or no AI speed-up · core task
Hammer out dents and bends in frames and weld tears and breaks.Little or no AI speed-up · supplemental task

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This job is already among the least exposed in its field.

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Questions about motorcycle mechanics and AI

Will AI replace motorcycle mechanics?

Unlikely. Most of the work is hard for today's AI to speed up. Motorcycle Mechanics score 0 out of 100 (low exposure), #876 of 923 US jobs. AI could speed up 0 of the job's 13 tasks, 0 of them on its own, while 13 see little or no speed-up. Exposure means the work is likely to change, not that the job will disappear.

Which motorcycle mechanics tasks are hardest for AI?

Tasks with little or no AI speed-up include "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".

Are people already using AI for this work?

Not much yet. None of the job's tasks showed up in real conversations with Claude in April–May 2026, according to the Anthropic Economic Index.

How many people work as motorcycle mechanics, and what do they earn?

About 13,510 people in the US, with median pay of $48,580 a year (BLS, May 2025).

How to read this score. Exposure measures how much of the work AI could speed up, not whether the job will disappear. A highly exposed job can change shape, with people spending less time on routine tasks and more on the rest. The score counts tasks AI can speed up on its own in full, and tasks that need extra software at half weight.

The ratings come from published research based on GPT-4 (2023). To show what's happening now, each task is also checked against the latest Anthropic Economic Index, which records which tasks people actually use AI for. That data is refreshed automatically when Anthropic publishes a new release. Read the full method.