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.
#427 / 633
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?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165