Automation index
How much of a Yacht skipper’s job can AI already do?
A leisure course comes earlier. Bringing friends and boat whole do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Yacht skipper
19%
AI can already do 19% of this job.
#549 / 663
View rankingYacht skipper
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, weather and the day’s plan.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Helm, the sea and the manoeuvre.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Crew, the sick one and the novice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Breakdown, sail or engine and the call.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The charter, the client 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.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- leisure course
- helm
- weather
- harbour manoeuvre
- novices
- yacht charter
- breakdowns
- plotter
Sources for this job· O*NET 53-5021.00· ESCO/ISCO 3152
IS WORK OVER?
Histology technician
19%
#562 / 663
View rankingHistology technician
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 |
|---|---|---|---|
Intake, the pot and not mixing cases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Process, embed and the block.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Cut, the knife and the one that falls apart.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Stain, the control and the one that will not take.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The pathologist, the rush and not sending a bad cut.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing the diagnosis on the knife.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- paraffin blocks
- histology cutting
- stains
- tissue processor
- not mix cases
- microtome knife
- stain controls
- embedding
Sources for this job· O*NET 29-2012.00· ESCO/ISCO 3212