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

Train conductor

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
Consist, brakes and the departure sheet.
Estimate

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

16%36%+5.8
Platform, close-up and the one left outside.
Estimate

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

18%12%+2.2
Incidents, Control and the delay.
Estimate

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

16%28%+4.5
Ticket staff, the fare dodger and the clash.
Estimate

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

16%22%+3.5
The line, the points and not leaving early.
Estimate

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

18%18%+3.2
Leave nobody behind, and sign the consist.
Estimate

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

16%12%+1.9
Total100%21%

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

Skills and activities

  • train consist
  • platform close-up
  • departure sheet
  • Control
  • brake check
  • line incidents
  • halts
  • delays

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 8312

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