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?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514