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
IS WORK OVER?
Ceramicist
19%
AI can already do 19% of this job.
#549 / 713
View rankingCeramicist
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.
| Task | Share | AI | Points |
|---|---|---|---|
Body, mould and the curve.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Glaze, apply and the one that runs.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Kiln, atmosphere and the batch that sticks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Run, the order and the one that does not match.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The gallery, the deadline and not opening the kiln early.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Not losing the batch, and signing the curve.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 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
IS WORK OVER?
Instructional designer
27%
#158 / 713
View rankingInstructional designer
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.
| Task | Share | AI | Points |
|---|---|---|---|
Aim, the storyboard and the module.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Pilot, the learner and what is not understood.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Activity, the feedback and not putting a silly test.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
LMS, the figure and not inflating completion.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the deadline and not cutting the practice.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they learn, and not leaving the empty video.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- course storyboard
- modules
- learner pilot
- activities
- LMS
- completion
- feedback
- not a silly test
Sources for this job· O*NET 25-9031.00· ESCO/ISCO 2351