Motorcycle Mechanics
In short: today's best AI models could do about 0% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 100% of the time, stays with people.
Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles.
13,510 people do this job in the US. $48,580 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on0 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people40 h
Motorcycle Mechanics, now: of a 40-hour week, AI could take on 0 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 40 hours stay with people.
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 0%
- 0%
- 100%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 0%. Today's estimate: 0%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 13 tasks showed up. Within each of Anthropic's methods, never across a change: 0.002% to 0.0024% (released February and March 2025); none to 0.0063% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.002% | 697 of 708 | 1 of 13 |
| Released March 2025 | 0.0024% | 643 of 703 | 1 of 13 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 13 |
| The week of Nov 13, 2025 (released January 2026) | 0.0046% | 580 of 672 | 1 of 13 |
| The week of Feb 5, 2026 (released March 2026) | 0.0063% | 551 of 677 | 1 of 13 |
| April 2026 (released June 2026) | none | n/a | 0 of 13 |
| May 2026 (released June 2026) | none | n/a | 0 of 13 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 100% of this job's working time as physical work. For 22% of the working time, a robot has been shown doing most of the task somewhere: 22% in a purpose-built cell. 0.22 of 3, the 423rd highest of the 923 jobs.
- No robot shown 78%
- In a purpose-built cell 22%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 13 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 21% | 5 h1.7 h to 1.6 work days | Stays with people | |
| Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.Done more than monthly by most who do it. Robots: no robot shown. Anthropic's rating. | 12% | 4.2 h1.7 h to 1 work day | Stays with people | |
| Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 10% | 50 min25 min to 2.5 h | Stays with people | |
| Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 10% | 1.1 h25 min to 2.5 h | Stays with people | |
| Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 9% | 1.7 h50 min to 3.3 h | Stays with people | |
| Reassemble frames and reinstall engines after repairs.Done more than yearly by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 3.3 h1.3 h to 6.7 h | Stays with people | |
| Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 42 min17 min to 2.1 h | Stays with people | |
| Mount, balance, change, or check condition or pressure of tires.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 6% | 29 min17 min to 1.1 h | Stays with people | |
| Install motorcycle accessories.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 6% | 50 min17 min to 2.5 h | Stays with people | |
| Reassemble and test subassembly units.Done daily by most who do it. Robots: in a purpose-built cell, Piston ringer assembly cell (Patti Engineering controls upgrade) (deployed). Anthropic's rating. | 5% | 1.3 h38 min to 2.5 h | Stays with people | |
| Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.Done daily by most who do it. Robots: in a purpose-built cell, ZEISS ABIS III automated surface inspection (robot-guided) (Carl Zeiss Industrial Quality Solutions) (sold). Anthropic's rating. | 4% | 25 min13 min to 1.1 h | Stays with people | |
| Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.Done daily by most who do it. Robots: in a purpose-built cell, WALTHER-PRÄZISION docking systems for engine test stands (Carl Kurt Walther GmbH & Co. KG) (deployed). Anthropic's rating. | 3% | 38 min17 min to 1.7 h | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Bicycle Repairers11% now, 11% by 2028
- Motorboat Mechanics and Service Technicians3% now, 3% by 2028
- Automotive Service Technicians and Mechanics3% now, 3% by 2028
- Outdoor Power Equipment and Other Small Engine Mechanics8% now, 8% by 2028
- Bus and Truck Mechanics and Diesel Engine Specialists2% now, 2% by 2028
- Mobile Heavy Equipment Mechanics, Except Engines6% now, 6% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Motorcycle Mechanics is within reach of AI now?
- An estimated 0% of the working time is within reach of AI models now and 0% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Motorcycle Mechanics come within reach first?
- No task has a meaningful share of its time within reach now or by the end of 2028, on the long-run pace at four in five: the work is mostly people work and body work, which the site does not count.
- Which tasks of Motorcycle Mechanics stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators; Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools; and Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools. Together such tasks are about 100% of the working time.
- Do people already use AI for the work of Motorcycle Mechanics?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Motorcycle Mechanics?
- Anthropic's robot exposure rating (September 2026) finds 100% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 22% of the working time. Its index is 0.22 of 3. One example: Piston ringer assembly cell (Patti Engineering controls upgrade) for "reassemble and test subassembly units". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 13 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
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