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

Dosimetrist

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
CT, contours and the plan.
Estimate

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

16%40%+6.4
Organ at risk, the curve and not overshooting.
Estimate

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

18%14%+2.5
Physics, the check and the one that does not fit.
Estimate

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

16%28%+4.5
Fraction, the setup and the patient who is not the same.
Estimate

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

16%22%+3.5
The oncologist, the trade-off and not signing blind.
Estimate

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

18%18%+3.2
The tumour gets it, and the healthy organ does not.
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

  • dose plans
  • contours
  • organs at risk
  • dosimetry check
  • fractions
  • setup
  • sim CT
  • DVH curves

Sources for this job· O*NET 29-2036.00· ESCO/ISCO 3211

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