33
/100

SOC 53-5031

Ship Engineers

ModerateFrey/Osborne: 4.1%

Risk Score

โš ๏ธ

33/100

Moderate

US Employment

๐Ÿ‘ฅ

8,580

Total workers

Median Wage

๐Ÿ’ฐ

$101K

$57K โ€“ $162K

Projected Growth

๐Ÿ“ˆ

+1.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

53/100

Moderate exposure

How we calculate these numbers โ†’

๐Ÿ’ก Ship Engineers face a risk score of 33/100 โ€” 11 points below the national average of 44. With 53/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $101K ($55K above the national median). The 3 recommended career transitions offer lower AI risk while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 33/100, Ship Engineers faces moderate automation pressure. While tasks like ai route optimization reducing dispatcher roles are increasingly handled by AI, the role retains significant human elements. The 8,580 workers in this occupation should focus on strengthening skills in customer interaction and conflict resolution during delivery and emergency situation response and quick decision-making to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Ship Engineers?

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

โš ๏ธ Top Risk Factors

1

AI route optimization reducing dispatcher roles

2

Automated warehouse sorting and loading systems

3

Drone delivery displacing last-mile logistics workers

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer interaction and conflict resolution during delivery

โœ“

Emergency situation response and quick decision-making

โœ“

Manual loading of irregular and fragile cargo

โœ“

Navigating complex urban environments with obstacles

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

Monitor engine, machinery, or equipment indicators when vessels are underway, and report abnormalities to appropriate shipboard staff.

โ€ข

Monitor the availability, use, or condition of lifesaving equipment or pollution preventatives to ensure that international regulations are followed.

โ€ข

Monitor and test operations of engines or other equipment so that malfunctions and their causes can be identified.

โ€ข

Start engines to propel ships, and regulate engines and power transmissions to control speeds of ships, according to directions from captains or bridge computers.

โ€ข

Perform or participate in emergency drills, as required.

๐Ÿ’ป Technology Skills

โ€ข

Operating system software

โ€ข

Helpdesk or call center software

โ€ข

Facilities management software

โ€ข

Customer relationship management CRM software

โ€ข

Enterprise application integration software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Engineering and Technology

โ€ข

Public Safety and Security

โ€ข

Transportation

๐Ÿ“Š vs National Average

Median Wage$101K
+$55K

National avg: $46K

Risk Score33/100
-11

National avg: 44/100

GenAI Exposure53/100
+15

National avg: 38/100

Projected Growth1.6%
-2.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Air Transportation Workers31$107K79%
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K71%
Ambulance Drivers and Attendants, Except Emergency Medical Technicians28$34K80%