Automation index
How much of a Ship captain’s job can AI already do?
A passage plan and a log come earlier. Deciding in ugly weather with people aboard does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Ship captain
19%
AI can already do 19% of this job.
#492 / 643
View rankingShip captain
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 |
|---|---|---|---|
Passage plan, weather and clearance.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Bridge, manoeuvre and people aboard.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 12% | +2.4 |
Crew, watches and fatigue.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Port, pilots and owner.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Safety, SOPEP and breakdowns.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not losing a ship or a person.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Passage plan, weather and clearance
- Bridge, manoeuvre and people aboard
- Crew, watches and fatigue
- Port, pilots and owner
- Safety, SOPEP and breakdowns
- Not losing a ship or a person
- capitan de barco
- patron de altura
- ship captain
Sources for this job· O*NET 53-5021.00· ESCO/ISCO 3152
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