IS WORK OVER?

Automation index

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

A wheel comes earlier. Centring, pulling and surviving the kiln do not.

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

Task comparison

Potter

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
Clay, wheel and centring.
Estimate

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

16%32%+5.1
Pull, turn and the one that collapses.
Estimate

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

22%8%+1.8
Dry, glaze and the kiln.
Estimate

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

16%22%+3.5
Order, the set and the colour that misses.
Estimate

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

16%28%+4.5
The market, the piece and not opening too wide.
Estimate

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

16%18%+2.9
Survive the kiln, and not leaving a fat foot.
Estimate

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

14%12%+1.7
Total100%19%

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

Skills and activities

  • wheel
  • centre clay
  • pull pieces
  • glaze
  • kiln
  • drying
  • tableware sets
  • the foot

Sources for this job· O*NET 51-9195.00· ESCO/ISCO 7314

Order picker

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
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
Total100%22%

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

Skills and activities

  • picking
  • scan locations
  • shorts
  • build pallets
  • warehouse aisles
  • order peaks
  • SKUs
  • voice picking

Sources for this job· O*NET 53-7062.00· ESCO/ISCO 4321

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