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.
#483 / 633
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?
Data engineer
31%
#36 / 633
View rankingData 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 |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511