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?

20%

AI can already do 20% of this job.

#461 / 633

Skipper

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. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Helm, the sea and the harbour manoeuvre. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Crew, the novice and the one who is sick. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Breakdown, sail or engine and calling it in time. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The client, the charter and not pushing it. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Whole into harbour, and not trusting the plotter alone. Estimate No 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

IS WORK OVER?

22%

#364 / 633

Order picker

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
List, location and the scan. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Aisle, height and the parcel that will not fit. Estimate No public source provides a precise figure. This is our estimate.	22%	10%	+2.2
Errors, the short and calling it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Pace, the shift and the pallet that goes. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Peaks, Black Friday and not mixing orders. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Hit the SKU, and not leaving a lame pallet. Estimate No public source provides a precise figure. This is our estimate.	14%	12%	+1.7
Total	100%		22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low