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.
#493 / 643
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?
Agile coach
24%
#262 / 643
View rankingAgile coach
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 |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421