IS WORK OVER?

Automation index

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

A firing curve comes earlier. Glazing without losing the batch in the firing do not.

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

Task comparison

Ceramicist

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
Body, mould and the curve.
Estimate

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

16%32%+5.1
Glaze, apply and the one that runs.
Estimate

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

22%8%+1.8
Kiln, atmosphere and the batch that sticks.
Estimate

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

16%22%+3.5
Run, the order and the one that does not match.
Estimate

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

16%28%+4.5
The gallery, the deadline and not opening the kiln early.
Estimate

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

16%18%+2.9
Not losing the batch, and signing the curve.
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

  • firing curves
  • bodies
  • ceramic moulds
  • glazes
  • atmosphere
  • runs
  • runs of glaze
  • the firing

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

University tutor

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
Form, the file and the one who does not come.
Estimate

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

18%48%+8.6
Mark, the cut and the one who gives up.
Estimate

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

16%40%+6.4
Grant, the paper and not letting it lapse.
Estimate

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

16%22%+3.5
Health, the referral and not playing clinician.
Estimate

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

16%28%+4.5
The dean, the dropout figure and not dressing it.
Estimate

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

18%14%+2.5
That they ask for help, and not dropping out.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • university tutoring
  • degree dropout
  • grants
  • files
  • health referral
  • the dean
  • grade cuts
  • tutoring forms

Sources for this job· O*NET 25-1199.00· ESCO/ISCO 2310

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