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?
Development cooperation officer
26%
#212 / 633
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635