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?

27%

#162 / 633

Materials engineer

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
Tests, metallography and the spec. Estimate No public source provides a precise figure. This is our estimate.	18%	48%	+8.6
Shop, heat treatment and the part that fails spec. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Material choice, corrosion and fatigue. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
Supplier, certificates and the doubtful batch. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The field failure and the root cause. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it does not fail, and not swapping the material blind. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Total	100%		27%

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