Automation index
How much of a Marine engineer’s job can AI already do?
An engine log comes earlier. The engine lasting the crossing do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Marine engineer
21%
AI can already do 21% of this job.
#436 / 643
View rankingMarine engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Rounds, parameters and the engine log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Breakdown, the sea and repairing with what you have.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 12% | +2.2 |
Fuel, oils and the port change.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch, alarms and the one who does not sleep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Survey, class and not dressing the log.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Last the crossing, and not silencing the alarm.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 21% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- engine rounds
- engine log
- breakdowns at sea
- watches
- class
- fuels
- engine-room alarms
- repair on passage
Sources for this job· O*NET 53-5031.00· ESCO/ISCO 3151
IS WORK OVER?
Last-mile manager
26%
#216 / 643
View rankingLast-mile manager
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324