IS WORK OVER?

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

Section supervisor

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.

TaskShareAIPoints
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
Total100%22%

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

Skills and activities

  • section
  • planogram
  • shrink
  • dates
  • store shifts
  • complaints
  • section orders
  • gaps

Sources for this job· O*NET 41-1011.00· ESCO/ISCO 5222

University tutor

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.

TaskShareAIPoints
Form, the file and the one who does not come.
Estimate

No public source provides a precise figure. This is our estimate.

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
That they ask for help, and not dropping out.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%27%

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

Skills and activities

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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