Automation index

How much of a Section supervisor’s job can AI already do?

A section planogram comes earlier. The shelf being there and the shift running 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.

#331 / 633

Section supervisor

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
Section, planogram and the order. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Shift, the gap and the one who is late. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Customer, the complaint and the one who cannot find it. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
Shrink, dates and not hiding them. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The store manager, the peak and not leaving the shelf empty. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
The shelf, and the shift standing. 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

IS WORK OVER?

23%

#301 / 633

Home-automation installer

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
Diagram, buses and scene programming. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Wire, sensors and the switch that does not answer. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
Integrate lights, climate and the client app. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Train, guest mode and the one who breaks it. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
The lived-in house and not leaving it dark. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That it obeys, and not needing the cloud for a switch. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		23%

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