Automation index

How much of a Order picker’s job can AI already do?

Voice picking comes earlier. Hitting the SKU without leaving a lame pallet do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

IS WORK OVER?

22%

AI can already do 22% of this job.

#383 / 673

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

IS WORK OVER?

22%

#394 / 673

Art teacher

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
Project, the sheet and the kit. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Classroom, the one who will not dare and the one who bins it. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Technique, the mistake and not doing it for them. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Show, the corridor and not hanging only the pretty. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Staff, 'it's a soft subject', and not dropping the bar. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they get dirty, and not copying the model. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		22%

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