52
/100

SOC 49-3052

Motorcycle Mechanics

ElevatedFrey/Osborne: 79.0%

Risk Score

โš ๏ธ

52/100

Elevated

US Employment

๐Ÿ‘ฅ

14,010

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$32K โ€“ $70K

Projected Growth

๐Ÿ“ˆ

+5.3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

10/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Motorcycle Mechanics face a risk score of 52/100 โ€” 8 points above the national average of 44. With only 10/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($890 above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 52/100, Motorcycle Mechanics faces moderate automation pressure. While tasks like predictive maintenance ai reducing reactive repair needs are increasingly handled by AI, the role retains significant human elements. The 14,010 workers in this occupation should focus on strengthening skills in hands-on fine motor work in intricate machinery and working in confined, elevated, or hazardous spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Motorcycle Mechanics?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Predictive maintenance AI reducing reactive repair needs

2

Automated fault detection via IoT sensor networks

3

Augmented reality-guided remote diagnostics

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

โœ“

Adapting repairs to non-standard or legacy equipment

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Mount, balance, change, or check condition or pressure of tires.

โ€ข

Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.

โ€ข

Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.

โ€ข

Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.

โ€ข

Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Operating system software

โ€ข

Web page creation and editing software

โ€ข

Inventory management software

โ€ข

Point of sale POS software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Customer and Personal Service

โ€ข

Computers and Electronics

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$47K
+$890

National avg: $46K

Risk Score52/100
+8

National avg: 44/100

GenAI Exposure10/100
-28

National avg: 38/100

Projected Growth5.3%
+1.6%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K69%
Electrical Power-Line Installers and Repairers28$93K78%
Supervisors of Installation, Maintenance, and Repair Workers33$78K83%