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

Economist

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
Clean data, estimate and produce tables.
Estimate

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

22%52%+11.4
Draft notes, briefs and a first paper.
Estimate

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

18%45%+8.1
Choose model, assumptions and robustness.
Estimate

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

16%22%+3.5
Present to a client, ministry or board.
Estimate

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

16%15%+2.4
Debate, peer-review and defend the numbers.
Estimate

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

14%12%+1.7
Read the political context and data quality.
Estimate

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

14%18%+2.5
Total100%30%

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

Skills and activities

  • Clean data, estimate and produce tables
  • Draft notes, briefs and a first paper
  • Choose model, assumptions and robustness
  • Present to a client, ministry or board
  • Debate, peer-review and defend the numbers
  • economista
  • economist

Sources for this job· O*NET 19-3011.00· ESCO/ISCO 2631

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