50
/100

SOC 49-3051

Motorboat Mechanics and Service Technicians

ElevatedFrey/Osborne: 66.0%

Risk Score

โš ๏ธ

50/100

Elevated

US Employment

๐Ÿ‘ฅ

24,250

Total workers

Median Wage

๐Ÿ’ฐ

$55K

$36K โ€“ $79K

Projected Growth

๐Ÿ“ˆ

+6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Motorboat Mechanics and Service Technicians face a risk score of 50/100 โ€” 6 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $55K ($9K 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 50/100, Motorboat Mechanics and Service Technicians faces moderate automation pressure. While tasks like robotic inspection of hard-to-reach equipment are increasingly handled by AI, the role retains significant human elements. The 24,250 workers in this occupation should focus on strengthening skills in working in confined, elevated, or hazardous spaces and customer communication about technical issues to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Motorboat Mechanics and Service Technicians?

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

โš ๏ธ Top Risk Factors

1

Robotic inspection of hard-to-reach equipment

2

Automated fault detection via IoT sensor networks

3

AI parts inventory and supply chain optimization

4

Augmented reality-guided remote diagnostics

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Working in confined, elevated, or hazardous spaces

โœ“

Customer communication about technical issues

โœ“

Diagnosing novel equipment failures through physical inspection

โœ“

Hands-on fine motor work in intricate machinery

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

Start motors and monitor performance for signs of malfunctioning, such as smoke, excessive vibration, or misfiring.

โ€ข

Document inspection and test results and work performed or to be performed.

โ€ข

Mount motors to boats, and operate boats at various speeds on waterways to conduct operational tests.

โ€ข

Repair engine mechanical equipment, such as power tilts, bilge pumps, or power take-offs.

โ€ข

Perform routine engine maintenance on motorboats, such as changing oil and filters.

๐Ÿ’ป Technology Skills

โ€ข

Analytical or scientific software

โ€ข

Web page creation and editing software

โ€ข

Inventory management software

โ€ข

Spreadsheet software

โ€ข

Office suite software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

Customer and Personal Service

โ€ข

Computers and Electronics

โ€ข

English Language

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$55K
+$9K

National avg: $46K

Risk Score50/100
+6

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth6.0%
+2.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K65%
Electrical Power-Line Installers and Repairers28$93K74%
Supervisors of Installation, Maintenance, and Repair Workers33$78K79%