IS WORK OVER?

Automation index

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

A practical sheet comes earlier. Making the piece without cutting themselves do not.

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

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
Sheet, material and the station.
Estimate

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

16%32%+5.1
Shop, the machine and the one without glasses.
Estimate

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

22%8%+1.8
The piece, the error and doing it again.
Estimate

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

16%22%+3.5
Assess, the portfolio and not giving the pass away.
Estimate

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

16%28%+4.5
The firm, the placement and the one who does not fit.
Estimate

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

16%18%+2.9
The piece made, and no cuts.
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

  • practical sheets
  • shop machines
  • glasses
  • portfolio
  • firm placements
  • shop stations
  • shop safety
  • pieces

Sources for this job· O*NET 25-2032.00· ESCO/ISCO 2320

Analyse my job

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