Automation index
How much of a Skipper’s job can AI already do?
A course comes earlier. Bringing people and boat whole into harbour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Skipper
20%
AI can already do 20% of this job.
#461 / 633
View rankingSkipper
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 |
|---|---|---|---|
Course, log and the day’s weather.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Helm, the sea and the harbour manoeuvre.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Crew, the novice and the one who is sick.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Breakdown, sail or engine and calling it in time.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the charter and not pushing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Whole into harbour, and not trusting the plotter alone.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 10% | +1.4 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- courses
- helm
- harbour manoeuvre
- weather
- charter
- novices aboard
- breakdowns at sea
- the plotter
Sources for this job· O*NET 53-5021.00· ESCO/ISCO 3152
IS WORK OVER?
Economist
30%
#49 / 633
View rankingEconomist
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 |
|---|---|---|---|
Clean data, estimate and produce tables.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 52% | +11.4 |
Draft notes, briefs and a first paper.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Choose model, assumptions and robustness.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present to a client, ministry or board.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 15% | +2.4 |
Debate, peer-review and defend the numbers.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
Read the political context and data quality.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 18% | +2.5 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Clean data, estimate and produce tables
- Draft notes, briefs and a first paper
- Choose model, assumptions and robustness
- Present to a client, ministry or board
- Debate, peer-review and defend the numbers
- economista
- economist
Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631