Medium AI Risk Average

Motorcycle mechanics

SOC Code: 49-3052

Motorcycle mechanics carries a 21% AI exposure score (Medium automation risk), with a median annual wage of $47,200 and +5.3% projected employment growth from 2024 to 2034 (BLS), affecting approximately 14,900 workers. Full task breakdown, skills, and employer data are below.

AI Exposure Score
21% Medium
Low exposure

Proportion of tasks susceptible to AI automation (O*NET analysis)

Projected Growth
+5.3%
Above typical growth
2024–2034 (BLS)
+800 jobs
Median Annual Wage
$47,200
Typical pay
BLS May 2024
How wage figures are sourced →
The verdict

At 21% AI exposure, Motorcycle mechanics sits 16 points below the 37.2% average across 832 U.S. occupations - more exposed than 8% of them. It ranks among the more AI-resilient roles in the dataset.

21%
AI exposure
8th
percentile
+5.3%
Job growth 2024–34
$47,200
Median wage
B-

Career outlook score

65/100

Motorcycle mechanics, weighted across 3 of 3 tracked dimensions

A weighted composite of median wage, projected growth, and AI-automation security (inverted exposure), each benchmarked against every other tracked occupation. It describes this occupation's standing across those three dimensions, not a guarantee of future outcomes.

  • Median wage F $47,200

    Annual median wage, percentile rank vs all tracked occupations

  • Projected growth B+ +5.3%

    Projected employment change, 2024-2034, BLS Employment Projections

  • AI exposure (inverted) A+ 21% exposure

    Lower O*NET task-automability scores lower risk; this dimension scores security, not exposure

Employment vs AI exposure

Home health and personal care aides is #1 of 832 occupations by employment (4.3M, AI exposure rank #392 at 35%) vs. Bookkeeping, accounting, and auditing clerks #1 by AI task exposure (95%, employment rank #17 at 1.6M).

4.3M
Home health and personal care aides employment (#1)
#392
Home health and personal care aides AI rank
95%
Bookkeeping, accounting, and auditing clerks AI exposure (#1)
#17
Bookkeeping, accounting, and auditing clerks employment rank

Automation-risk inventory

Exclusive cut of 832 occupations by PlainWorkforce automation-risk band. Orthogonal to the continuous AI-exposure distribution chart below and to this occupation's single risk badge, this is the corpus band mix, with Motorcycle mechanics in the Medium band.

Credential × growth standing

Associate / award entry with a named growth shelf

Entry credential Associate / award covers 99 of 832 occupations; BLS places this one in Average (378/832). Mid-credential standing - thicker than graduate shelves, thinner than HS-dominated mass.

Where Motorcycle mechanics sits among all occupations

AI-exposure score distribution across 832 U.S. occupations (O*NET task analysis). This occupation is marked in rose.

Where Motorcycle mechanics sits by AI exposure

AI-exposure score distribution across U.S. occupations (O*NET task analysis)

21% Among the lowest lower than 92% of 832 occupations

Occupations, banded by AI-exposure score

Each bar is a band; taller bars hold more occupations. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count and share, and where it sits relative to this entry.

Source O*NET task data (U.S. Department of Labor) · BLS 2024–2034

Source: O*NET task data (U.S. Department of Labor); AI-exposure scores are PlainWorkforce's analysis. As of BLS 2024–2034.

Motorcycle mechanics vs. its occupational neighbors

AI exposure (horizontal) vs projected 2024–2034 growth (vertical) for occupations in the same SOC group. Motorcycle mechanics is marked in rose; the top-left corner is the most future-proof.

Future-proofGrowing but exposedStable, lower-AIMost at risk11.4%20.2%29%37.8%46.6%-5.2%0.4%6.0%11.5%17.1%AI exposure (%) →Projected growth (%) →Motorcycle mechanics, AI exposure (%) →: 21% · Projected growth (%) →: 5.3%Motorcycle mechanicsMaintenance, AI exposure (%) →: 20% · Projected growth (%) →: 3.8%MaintenanceAutomotive service t, AI exposure (%) →: 23% · Projected growth (%) →: 4.2%Automotive service tFirst-line superviso, AI exposure (%) →: 45% · Projected growth (%) →: 3.1%First-line supervisoIndustrial machinery, AI exposure (%) →: 33% · Projected growth (%) →: 16.1%Industrial machineryHeating, AI exposure (%) →: 26% · Projected growth (%) →: 8.1%HeatingBus, AI exposure (%) →: 23% · Projected growth (%) →: 2.4%BusInstallation, AI exposure (%) →: 33% · Projected growth (%) →: 2.4%InstallationMobile heavy equipme, AI exposure (%) →: 29% · Projected growth (%) →: 5.8%Mobile heavy equipmeAutomotive body, AI exposure (%) →: 21% · Projected growth (%) →: 1.6%Automotive bodyTelecommunications e, AI exposure (%) →: 16% · Projected growth (%) →: -4.2%Telecommunications eAircraft mechanics, AI exposure (%) →: 13% · Projected growth (%) →: 4%Aircraft mechanics

Source: BLS Employment Projections 2024–2034 (growth) and O*NET (AI-exposure analysis by PlainWorkforce).

Employment Projections

14,900
Employment 2024
15,700
Projected 2034
+5.3%
Change (%)
+800
Change (jobs)

Where This Score Comes From

Motorcycle mechanics's Medium automation-risk tier is computed from O*NET Database 30.0 task-level analysis, where each documented task the occupation performs is evaluated against current generative AI, robotic process automation, and machine-learning capabilities. A score below 40% reflects tasks anchored in physical dexterity, unstructured environments, or high-touch human interaction that current AI cannot reliably replicate.

The employment, wage, and education figures above come from a second, separate federal source: BLS Employment Projections 2024–2034, matched to the O*NET task data by Standard Occupational Classification (SOC 49-3052) code, with the wage figure cross-validated against the BLS Occupational Employment and Wage Statistics (OEWS) May 2024 survey. BLS figures are presented exactly as published, with no adjustment on our part; the SOC-code match is what lets Motorcycle mechanics be compared directly against every other tracked occupation on the same basis, not just roles that happen to share a job title.

For career planners, this profile should be read alongside the task, skill, and knowledge breakdowns below and the list of employers whose workforce composition includes Motorcycle mechanics. Adjacent occupations shown further down offer lateral moves that preserve industry knowledge while potentially reducing exposure.

Education & Entry Requirements

Typical Education
Postsecondary nondegree award
Work Experience
None
On-the-Job Training
Short-term on-the-job training

Top Tasks (O*NET)

  1. 1. Mount, balance, change, or check condition or pressure of tires.
  2. 2. Replace defective parts, using hand tools, arbor presses, flexible power presses, or power tools.
  3. 3. Dismantle engines and repair or replace defective parts, such as magnetos, carburetors, or generators.
  4. 4. Connect test panels to engines and measure generator output, ignition timing, or other engine performance indicators.
  5. 5. Listen to engines, examine vehicle frames, or confer with customers to determine nature and extent of malfunction or damage.
  6. 6. Repair or replace other parts, such as headlights, horns, handlebar controls, gasoline or oil tanks, starters, or mufflers.
  7. 7. Disassemble subassembly units and examine condition, movement, or alignment of parts, visually or using gauges.
  8. 8. Repair or adjust motorcycle subassemblies, such as forks, transmissions, brakes, or drive chains, according to specifications.
  9. 9. Reassemble frames and reinstall engines after repairs.
  10. 10. Remove cylinder heads and grind valves to scrape off carbon and replace defective valves, pistons, cylinders, or rings, using hand and power tools.

Key Skills Required

  • Troubleshooting
  • Repairing
  • Equipment Maintenance
  • Active Listening
  • Speaking
  • Critical Thinking
  • Active Learning
  • Monitoring
  • Complex Problem Solving
  • Operations Monitoring

Knowledge Areas

  • Mechanical
  • English Language
  • Customer and Personal Service
  • Computers and Electronics
  • Mathematics
  • Education and Training
  • Sales and Marketing
  • Engineering and Technology
  • Physics
  • Transportation

Frequently Asked Questions

Will AI replace Motorcycle mechanics?

Motorcycle mechanics has an AI exposure score of 21%, indicating a medium level of automation risk. The majority of tasks in this role require human judgment, creativity, or physical presence that AI cannot easily replicate.

What is the job outlook for Motorcycle mechanics?

According to BLS Employment Projections 2024-2034, Motorcycle mechanics is projected to grow by 5.3% over the decade. Current employment stands at approximately 14,900 workers.

What skills are needed for Motorcycle mechanics?

Key skills for Motorcycle mechanics include Troubleshooting, Repairing, Equipment Maintenance, and others. Typical entry-level education is Postsecondary nondegree award.

How much do Motorcycle mechanics earn?

The median annual wage for Motorcycle mechanics is $47,200, according to BLS Occupational Employment and Wage Statistics (May 2024). Actual earnings vary by location, experience, industry, and employer. The BLS publishes detailed wage percentiles by region in its Occupational Employment and Wage Statistics program.

What education is required for Motorcycle mechanics?

The typical entry-level education for Motorcycle mechanics is Postsecondary nondegree award. Employers generally expect None of related work experience. On-the-job training typically involves Short-term on-the-job training. Requirements can vary by employer and specialization.

Which companies employ Motorcycle mechanics?

Motorcycle mechanics roles exist across many industries and employers. Workforce composition is estimated from BLS industry-occupation employment distributions matched to SEC-registered public companies.

AI Exposure Rating

1.1
out of 5.0

Medium automation risk based on 10 analyzed tasks. Most tasks require human judgment and are resistant to automation.

Nationwide occupations with similar workforce profiles

Two data-derived peer sets for Motorcycle mechanics: AI-exposure neighbors and BLS 2034 growth neighbors (distinct comparison neighborhoods, cross-occupation).

Similar AI exposure score

Nearest O*NET task-automability scores nationwide (21% here).

Similar projected growth (2024–2034)

Nearest BLS employment change rates nationwide (+5.3% here).

Peers are nearest-neighbor matches on published BLS + O*NET metrics among occupations with ≥10,000 workers in 2024; corpus ranks above sort the full tracked set.

What to do with this

Use Motorcycle mechanics' numbers above to compare, not just read in isolation.

AI exposure scores estimate task automatability from O*NET data; they are not a certainty of job loss, and BLS growth projections are estimates, not guarantees.

Data sources: Bureau of Labor Statistics Employment Projections 2024–2034 and O*NET Database 30.0. Employment figures are rounded. Wage data from BLS Occupational Employment Statistics (OES).

Every figure on PlainWorkforce is rendered directly from BLS/O*NET source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these figures, or report a data error. Data current as of BLS Employment Projections 2024-2034.

Sources: BLS Employment Projections 2024-2034, O*NET Database 30.0.