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?
Information specialist
31%
#33 / 633
View rankingInformation specialist
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 |
|---|---|---|---|
Classify, index and describe holdings.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Thesauri, metadata and the internal search.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 52% | +8.3 |
Answer queries and retrieve what nobody can find.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Records policy, retention and destruction.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Train people who file badly and people who do not file.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
The organisation’s memory, and not losing it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 30% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- manage records
- index holdings
- classify archives
- retrieve information
- metadata
- thesauri
- retention policy
- internal search
Sources for this job· O*NET 25-4013.00· ESCO/ISCO 2622