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?
Prompt engineer
34%
#21 / 633
View rankingPrompt 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 prompts, tools and chains.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Evals, datasets and regressions.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Integrate with product and safety limits.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to the business about a good output.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Watch hallucinations, bias and cost.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 20% | +2.8 |
Decide what the model gets, and what it does not.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 16% | +1.9 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design prompts, tools and chains
- Evals, datasets and regressions
- Integrate with product and safety limits
- Talk to the business about a good output
- Watch hallucinations, bias and cost
- prompt engineer
- ingeniero de prompts
- llm engineer
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2512