IS WORK OVER?

Automation index

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

An OEM code comes earlier. Giving the part that fits, not the lookalike, do not.

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

Task comparison

Parts clerk

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
Catalogue, equivalents and the code.
Estimate

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

18%52%+9.4
Counter, the waiting shop and the doubt.
Estimate

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

16%22%+3.5
Stock, urgent orders and the one that is late.
Estimate

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

16%36%+5.8
Returns, warranties and the wrong part.
Estimate

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

16%28%+4.5
The mechanic, the blurry photo and not selling blind.
Estimate

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

18%14%+2.5
The one that fits, not the lookalike.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • parts catalogue
  • OEM equivalents
  • shop counter
  • urgent orders
  • returns
  • part warranties
  • parts stock
  • part codes

Sources for this job· O*NET 41-2022.00· ESCO/ISCO 4321

Miller

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
Wheat, moisture and the diagram.
Estimate

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

16%40%+6.4
Mill, sift and the one that heats.
Estimate

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

18%14%+2.5
Quality, ash and the baker who complains.
Estimate

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

16%28%+4.5
Cleaning, pests and the silo.
Estimate

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

16%22%+3.5
The harvest, the batch and not mixing the wet.
Estimate

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

18%18%+3.2
Regular flour, and not scorching the grain.
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

  • mill wheat
  • sift
  • grain moisture
  • ash
  • silos
  • mill pests
  • mill diagrams
  • flour batches

Sources for this job· O*NET 51-9021.00· ESCO/ISCO 8160

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