How exposed to AI is the job of Motorcycle Mechanics?

5.0% of the weighted task load of Motorcycle Mechanics is exposed, meaning work current AI systems can produce with little structural friction. A further 4.1% is assisted work and 90.8% is untouched. That places it 5th out of 923 occupations, rank 874, in release v2026.Q3 of the Task Exposure Index.

Will AI replace Motorcycle Mechanics?

The index does not measure displacement. It measures what current AI systems can produce and what stands in the way. Whether exposed work becomes a lost job depends on firm economics, regulation and organisational inertia, none of which this index models.

Which tasks of a Motorcycle Mechanics are most exposed to AI?

Of 13 tasks O*NET records for this occupation, 1 are exposed, 0 assisted and 12 untouched. The full task-by-task breakdown is published on this page.

Occupation · SOC 49-3052.00 · Job Zone 3

AI exposure: Motorcycle Mechanics

Diagnose, adjust, repair, or overhaul motorcycles, scooters, mopeds, dirt bikes, or similar motorized vehicles.

Reading this score

computed

Motorcycle Mechanics is among the least exposed occupations measured, at 5.0% of weighted task load, rank 874 of 923. 90.8% of this job is work current AI systems cannot produce at all. That is not a statement about skill or value. It is a statement about what these systems can and cannot do.

What holds the line here is embodiment. Across this occupation's 13 tasks it averages 2.92 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Listen to engines, examine vehicle frames, or confer with customers to determine nature and..., at 33.3%. The least is Hammer out dents and bends in frames and weld tears and breaks, at 0.0%. A gap of 33.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within installation, maintenance and repair occupations, this one is less exposed than the median of 13.8% across the group's 50 roles, with 44 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 13 tasks, 1 are currently banded exposed, 0 assisted and 12 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

Dimension	Mean	Scale
Capability	0.35	0-4
Embodiment	2.92	0-3
Presence	0.23	0-3
Accountability	0.94	0-3
Context	1.22	0-3
Verification cost	1.41	0-3

Task by task

13 tasks, O*NET 31.0

Task	Exposed	Assisted	Untouched	Importance	Band
Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.	33.3%	29.2%	37.5%	4.51	exposed
Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.	15.0%	10.0%	75.0%	4.54	untouched
Reassemble and test subassembly units.	7.9%	4.6%	87.5%	4.33	untouched
Mount, balance, change, or check condition or pressure of tires.	5.8%	6.7%	87.5%	4.74	untouched
Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.	0.0%	0.0%	100.0%	4.62	untouched
Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.	0.0%	0.0%	100.0%	4.61	untouched
Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.	0.0%	0.0%	100.0%	4.49	untouched
Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.	0.0%	0.0%	100.0%	4.47	untouched
Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.	0.0%	0.0%	100.0%	4.40	untouched
Reassemble frames and reinstall engines after repairs.	0.0%	0.0%	100.0%	4.39	untouched
Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.	0.0%	0.0%	100.0%	4.35	untouched
Install motorcycle accessories.	0.0%	0.0%	100.0%	4.35	untouched
Hammer out dents and bends in frames and weld tears and breaks.	0.0%	0.0%	100.0%	2.99	untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.